Why placement assistance is crucial for online students: Support and guidance in landing the right job The idea of online learning has completely changed how students pursue their academic and professional goals. Online education has gained popularity over the years, especially after the pandemic and as a result of the development of new technologies. Online education has made it possible for students to pursue their education from any corner of the world without physically attending a classroom. This has been made feasible by the development of online learning resources, including virtual classrooms, lectures, and other teaching aids. Many online platforms and institutions also provide placement assistance to their students to help them build successful careers for themselves. Placement aid is essential for online students when it comes to finding proper employment opportunities after completing their education. There is an expanding demand for placement assistance among online students as it provides various benefits and leads them towards successful and fulfilling careers. Let’s find out more about placement assistance and how it is crucial for online students to land the right employment opportunities. Placement assistance: What is it? Students can receive placement aid, which is a sort of direction and support provided by the institution, to help students find relevant jobs when they complete their course. It includes providing students with various relevant career opportunities, assisting them in choosing the best employment possibilities, getting them ready for job interviews, providing workshops for resume building and engaging them in other career-related activities. In order to help students find the ideal employment opportunities, placement assistance programs also entail advising and guiding students on how to maximize their educational background and professional experiences. Also read: Essential job skills for online degree students Major benefits of placement assistance for online students Placement assistance provides a variety of advantages for online students. Some of the benefits of placement support for online students are discussed below: 1. Access to relevant job opportunities: Students who get placement aid have access to various suitable work prospects that they otherwise would not have known about or had the means to explore on their own. Online students can discover various relevant employment opportunities that are a good fit for their talents and interests with the aid of placement services. 2. Networking possibilities: Placement support can provide online learners with the possibility to connect with companies and other experts in the sector of their choice. Students can develop professional connections with prospective employers through networking that can result in suitable career prospects. 3. Professional guidance: Placement assistance can offer students professional guidance and support to help them build successful careers. Students who might feel overburdened by the job search process might greatly benefit from placement assistance services. 4. Job search resources: Students who get placement aid can receive websites for job searching and career guidance. These tools can aid students in more quickly and successfully landing the ideal career. 5. Interview assistance: Placement aid might provide students with mock interviews and interview pointers to help students prepare for interviews. This can improve career prospects for online students and raise their chances of landing a job. 6. Resume-building assistance: Students who need placement aid can get advice on how to put together an expert resume and cover letter. For students who might not have had past experience producing resumes, this can be extremely useful. Check out: The do’s and don’ts of job search Ways to find the ideal career opportunity There are some ways that online students can employ to find the ideal employment opportunities. Some of these ways have been discussed below : 1. Use placement assistance: Online students should use the placement aid provided by their institution or program. Students who get placement aid get access to job openings, networking events, career guidance, and job search tools. 2. Take charge: Online learners should assume control and actively look for employment prospects. This can entail looking up job postings, going to job fairs, and making connections with prospective companies. 3. Create a professional profile: Online learners should put their experience and talents front and center in their professional profiles. This might contain an online portfolio, cover letter, and resume. 4. Use online job platforms: Several websites that focus on job advertisements are accessible to online students seeking jobs. Online students can use various online job portals to find relevant job openings. 5. Use social media: Online students who are looking for employment chances should use their social media to look for relevant opportunities. You can connect with potential employers and look for job ads on various social media platforms and apply for the ones relevant to your skills and expertise. Become job ready with Online Manipal’s placement assistance services Online Manipal provides placement assistance to all its students. It has a dedicated Placement Cell for its online students, which is responsible for providing assistance in getting relevant job opportunities. The placement cell helps students with career guidance, preparing resumes, Linkedin profile building, skill assessments, and continual job postings. It also organizes placement drives. Additionally, Online Manipal maintains relationships with top companies to provide access to valuable internships and job opportunities for its students. It also provides various resources to help students find suitable job opportunities. Conclusion Thus, the article clearly presents the importance of placement assistance for online students and how it can guide them in finding relevant job opportunities. Placement support is absolutely crucial for online students who want to find ideal career opportunities after completing their education. Placement support offers career assistance and guides students in finding suitable employment opportunities, and prepares them for job interviews. Placement support also aids in network development and resumes building for students. For online students to maximize the value of their educational background and professional experience and find the ideal position, all of these aspects are crucial. Online Manipal offers various placement assistance opportunities to all the learners enrolling in various courses to help them find the ideal employment opportunity. Enroll in the UGC-entitled programs on Online Manipal to utilize the various placement assistance opportunities to build a successful career for yourself.
Understanding AdTech: An overview A convergence of technology breakthroughs, consumer privacy concerns, and regulatory changes is poised to influence the direction of the AdTech industry. The global programmatic advertising industry is anticipated to reach $84 billion by 2025, growing at a 20% CAGR between 2020 and 2025. Artificial intelligence and machine learning are anticipated to play a key part in the future of AdTech, with a forecast increase of 48.2% annually from 2021 to 2028. According to a recent survey, 64% of customers would rather see advertisements from trustworthy sources than from unidentified third-party sources, which has fueled the growth of alternative advertising ecosystems and walled gardens. It is anticipated that as the AdTech sector develops, it will strike a balance between the need for secure and private data storage and efficient advertising solutions. The industry will need to adjust to these developments to stay relevant and fulfill the shifting needs of both businesses and customers. You may like to read about the digital marketing trends. What is AdTech? Advertising Technology (AdTech) refers to the applications and tools used in digital advertising, including their development, distribution, and optimization. AdTech covers every step of the digital advertising process, from audience targeting and data collecting to ad development and delivery. It offers insightful data on the effectiveness of ad campaigns. AdTech has transformed the advertising industry by making it simpler to target particular demographics and monitor the effectiveness of marketing efforts. AdTech, in general, is essential to the expansion and profitability of the digital advertising sector. Why AdTech is important AdTech is significant because it makes advertising effective and efficient. It automates and optimizes ad placement, buying, and using technology. AdTech gives substantial insights into ad performance and assists advertisers in choosing the appropriate audience to target. Automating the ad sales process and giving publishers access to a larger pool of advertisers also helps publishers maximize revenue. This article on social media marketing will help you understand more about the career opportunities in social media. Integral components of AdTech Ad servers Ad servers are technology platforms that store, serve, track, and report online advertising. They help advertisers manage and monitor their advertising campaigns by serving ads to websites or mobile apps, tracking performance metrics, generating reports, and allowing for targeted advertising. Ad servers provide a centralized platform for managing campaigns, setting budgets, and adjusting targeting strategies. They play a crucial role in the digital advertising industry. Demand-side platforms Demand-side platforms (DSPs) are technology platforms that enable advertisers to purchase advertising space through real-time bidding. DSPs allow advertisers to access large pools of inventory from multiple sources, including ad exchanges and supply-side platforms (SSPs), and bid on the advertising space in real time. They use data and algorithms to target specific audiences and optimize advertising campaigns, providing advertisers with increased efficiency and effectiveness in their digital advertising efforts. Supply-side platforms Supply-side platforms (SSPs) are technology platforms that enable publishers to monetize their digital inventory by selling advertising space to advertisers through programmatic channels. SSPs connect publishers with demand-side platforms (DSPs) and ad exchanges and allow publishers to set rules and pricing for their inventory. They use data and algorithms to optimize the sale of advertising space, ensuring that publishers receive the highest possible revenue for their inventory while also providing advertisers with access to high-quality inventory. SSPs play a crucial role in the programmatic advertising ecosystem, connecting publishers and advertisers to facilitate the buying and selling of advertising space. Data management platforms Data management platforms (DMPs) are technology platforms that collect, store, and manage data on consumers and their behaviors. DMPs gather data from multiple sources, including websites, mobile apps, and other data providers, and use this information to build detailed profiles of consumers. This data is then used to inform and optimize advertising campaigns, allowing advertisers to better target their ads to specific audiences based on factors such as demographics, interests, and behaviors. DMPs play a crucial role in the digital advertising industry by providing advertisers with the data and insights needed to effectively target and personalize their advertising efforts. Ad exchanges Ad exchanges are online marketplaces that facilitate the buying and selling of advertising space through programmatic channels. They connect demand-side platforms (DSPs) and supply-side platforms (SSPs) and allow for real-time bidding on advertising inventory. Ad exchanges provide advertisers with access to large pools of inventory from multiple sources and allow publishers to monetize their digital inventory by selling advertising space to the highest bidder. Ad exchanges play a crucial role in the programmatic advertising ecosystem by facilitating the efficient and effective buying and selling of advertising space. Ad networks Ad networks are middlemen that connect advertisers with publishers to facilitate the distribution of online ads. Ad networks aggregate inventory from multiple publishers and sell it to advertisers in bulk. They serve as a one-stop shop for advertisers, allowing them to reach large audiences across multiple websites or mobile apps with a single ad buy. Ad networks may also offer additional services such as targeting, tracking, and reporting, providing advertisers with an all-in-one solution for their digital advertising needs. You may be interested to learn more about the role of augmented reality in marketing. How does AdTech work? AdTech automates the process of digital advertising by combining software and algorithms. The following steps provide a high-level overview of how AdTech works: Data collection AdTech platforms gather information about users, such as their demographics, interests, and online activity. Ad performance is optimized, and the right audience is targeted with this data. Targeting audiences AdTech platforms use the information gathered to focus on particular demographics, like age, gender, location, and hobbies. Additionally, advertisers can utilize data to target specific behaviors like website visits, app usage, and past purchases. Ad creation AdTech platforms give advertisers the resources to produce text, video, and image-based digital adverts. Additionally, advertisers can utilize data to demographically target their advertising by displaying different ones to different groups of people. Ad delivery AdTech systems employ algorithms to choose the best location for each advertisement based on user behavior, website content, and audience demographics. Advertisers can also select targeting criteria to choose the ideal moment to display an ad. Ad optimization AdTech platforms track each ad’s performance and continuously improve campaigns using data analysis. Advertisers can use this data to modify their targeting and ad copy for better results. Reporting AdTech systems offer thorough reporting and analytics on each ad campaign’s performance, including figures for clicks, impressions, conversions, and income. The information can be used to evaluate the performance of a campaign and make changes for subsequent ones. Conclusion AdTech also raises concerns about privacy and data security. Publishers and advertisers are responsible for securing user data and adhering to privacy laws. This should include ensuring that personal data is gathered and used in line with applicable privacy laws and the General Data Protection Regulation (GDPR). However, AdTech plays a crucial role in the growth and success of the digital advertising industry. Programmatic advertising, DSPs, and SSPs are vital components of AdTech, providing advertisers and publishers with a more efficient and effective way to reach target audiences and monetize their ad inventory. It also offers valuable information about the effectiveness of advertising campaigns. To launch a career in AdTech or advertising, you may want to consider an online MBA with a marketing elective from Manipal University Jaipur. Alternatively, if you are an experienced professional seeking a career change, you can enroll in an online MBA in marketing from the prestigious Manipal Academy of Higher Education. Both programs provide in-depth coverage of advertising and marketing principles, enabling you to become a future-ready professional in your chosen field.
Emerging trends in the BFSI sector Technology has consistently been at the helm of advancement in the modern digital economy for the BFSI (Banking, financial services, and insurance) industry. The market sector has repeatedly illustrated how deploying technology-based solutions has enriched the end-user experience overall. Future trends in the banking sector will be influenced by digital business models. Digitalization is already causing changes in consumer behavior and choices for many conventional banking services. Advancements in digital banking technology will affect how well the BFSI sector evolves over the coming years. Significant transformations in the BFSI sector There have been radical reforms in the BFSI sector ever since the outset of Covid-19. The pandemic has expedited the financial sector’s digital change, compelling many established financial firms to acclimatize to the shifting environment. For example, the transition away from cash and towards electronic payment methods has been taking place over time. Financial firms have countered by making significant investments in digital infrastructures and offerings because of a large number of customers using mobile and internet banking to administer their accounts from home. Businesses in the BFSI sector have been compelled to enhance their online user experiences as a result of the transition to digital platforms. To know more, read Top emerging technologies in financial services and how to upskill in them Impact of technology in the BFSI sector The BFSI sector has undergone a massive transformation that has opened up new, better prospects for users. The pace at which banks function in the country today demonstrates the wide range of effects that technology has had on the financial sector. Banks and other financial organizations can now provide digital banking services, enabling clients to process transactions and retrieve financial data whenever and wherever they choose. Each of these procedures has accelerated the operations of the BFSI industry, thanks to the impact of technology on BFSI industry trends. Every banking or associated institution has been prompted to embrace this technological change to survive and thrive as a result of technological breakthroughs in the finance sector. Let’s examine the latest trends in the BFSI Sector that have emerged as a result of technology’s influence on the industry. BFSI industry trends to watch out for Some of the BFSI industry trends to watch out for in the coming years are discussed below: Artificial Intelligence & Machine Learning (AI & ML) The BFSI industry has emerged as a pioneer in employing ML and AI technologies to boost productivity, enable quicker time-to-market for new goods and services, and allow a hybrid workforce to remain adaptable in the face of the profound disruption that is reshaping the sector. By the end of 2023, many banks will transform into wholly tech-based enterprises, utilizing their huge clientele bases and distribution channels to offer digital solutions and consumer interactions, typically using natural language processing. Big data analytics Big data allows banks to centralize their business models on customer behavior. They may increase income and provide more personalized services by fully employing predictive analytics. The success of a bank’s digital transformation in the future will be contingent on its ability to learn from its customers. Market segmentation and cross-selling to current clients will depend heavily on analytics. So, banks will have a better understanding of consumer behavior and expenditure patterns, which will help them come up with offerings that are more suited to their target market. Blockchain Blockchain technology holds the promise to revolutionize the BFSI industry by enabling safe, decentralized transactions. Blockchain can assist in lowering transaction costs, accelerating settlement timelines, and enhancing privacy and accountability. Banks are looking into ways to meet the demands of the growing crypto consumer base. Banks are attempting to make it simple for medium-sized businesses to incorporate cryptocurrency services into their online banking systems. As a result of seeing their competitors provide cryptocurrencies, many bank councils are urging management to join the cryptocurrency market. Cloud banking Cloud is among the essential components of the digital revolution. The use of the cloud increased significantly in the years following the epidemic, and it will still be a top priority in 2023. Initial trepidation was evident due to the general sensitivity of the information, but it is rapidly dissipating as firms adopt the shared responsibility paradigm and the cloud’s secure infrastructure. The use of the cloud speeds up concept realization and go-to-market strategy in addition to reducing the on-premises presence and related costs. Robotic process automation RPA systems can communicate with one another at the application’s user interface level to precisely replicate the actions in the same way as a human working across several apps would. RPA is incredibly flexible, economical, and simple to use and has so far aided in the expansion of the BFSI industry. Here are three reasons to support this assertion: RPA has aided global investment banks in minimizing case bottlenecks by increasing case-handling effectiveness. RPA has improved customer satisfaction for insurance and annuity companies by “indexing” changeovers with online interaction and lowering inbound calls. RPA contributes to a decrease in manual errors, which raises the standard of financial services. Neo banks Digital banks will now maintain a dominant position in the banking industry after shattering the loop of traditional marketplaces. While the majority of transactions will take place online, bank branches will see a decline. Neo banks provide traditional banks with a less expensive substitute without the requirement for physical branches. Consumers now have access to and can enjoy a variety of personal financial services on their devices, thanks to improvements in artificial intelligence, biometrics, internet banking, and cyber security Advanced cyber security The BFSI industry is utilizing technology more frequently, which increases the demand for cybersecurity to defend against online attacks. Banking organizations are making significant investments in cybersecurity solutions to guard client data and avert privacy violations. E-wallets are quite vulnerable to phishing assaults, intrusion attacks, fraudulent KYCs, and improper software manipulation by authorized users. The RBI has instructed all banks to issue EMV chip-based devices to resist these complex cyber threats. Pursue an online MBA in BKFS Working professionals who aim to improve their knowledge and abilities in the financial services industry can enroll in TAPMI’s online MBA-BKFS (Banking and Financial Services) program. The flexible program design allows working professionals to keep up with the course material while working. The program offers four industry-oriented electives – banking, capital markets, advanced corporate finance, and analytics for banking and finance to help working professionals advance to leadership and managerial roles in the BFSI sector. Individuals will gain updated knowledge and experience that will align with the demands of the BFSI sector after the completion of the program. The program will help learners to get command over key areas in the BFSI industry, such as digital transformation in the banking sector, cryptocurrency and blockchain technology and innovations in the new-age banking environment. You can also read, How TAPMI online MBA-BKFS electives help professionals tailor their career paths. Conclusion The BFSI sector is ready for a major overhaul with cutting-edge developments in this sector, which aim to revolutionize BFSI operations by putting clients at the center of their current and long-term goals. The future of the BFSI industry and its trends are promising, with enterprises continuing to try to expedite their digital transformation excursions to meet the demands of a consumer base that is becoming more and more tech-savvy. So enroll now in the online MBA – BKFS program from TAPMI to accelerate your career in this much-in-demand field and experience how MBA BKFS is adapting to emerging trends in BFSI Industry.
Programming languages one can learn in a data science program Programming languages are the tools developers use to create software and computer programs. These best programming languages for data science consist of rules, instructions, and syntax, enabling programmers to craft computer code that executes various tasks. Programming languages are in demand for various applications, from software development and web design to machine learning, data science, and artificial intelligence. Each programming language has its own rules, which developers must abide by when writing programs using that particular language. Role of programming languages in data science Programming languages are essential tools in data science, enabling various tasks like cleaning and analyzing raw data, modeling, visualization, and deployment of machine learning models. Here are a few key functions the best programming language performs for data science: In-demand data science programming languages, like Python and R, offer powerful data cleansing and manipulation libraries. These tools enable data scientists to quickly clean and prepare their datasets for analysis. Analysis of statistical Data Programming Languages like R is specifically tailored for statistical analysis. They offer tools for testing hypotheses, regression analysis, hypothesis testing, and more. Python has become the go-to language for machine learning due to the availability of powerful libraries like Scikit-learn, TensorFlow, and PyTorch. These tools enable data scientists to construct and train models using these powerful libraries quickly. Deployment data science programming languages like Python and Java pay handsome salaries, so these are widely used for deploying machine learning models in production. These programming languages enable data scientists to design efficient and scalable systems that deliver predictions with precision. You may like to read about top data science positions. Top programming languages you may learn in a data science program When selecting the best programming language for data science, your goals and tasks must be considered. Here are the different languages one can learn in a data science program: Python Python is one of the world’s most widely-used programming languages for data analysis. It provides a wealth of tools and libraries for data exploration, machine learning, and visualization; these include NumPy, Pandas, and Matplotlib. Python offers a straightforward syntax to comprehend and write, making it ideal for newcomers. Python extends object-oriented languages, supporting inheritance, encapsulation, and polymorphism. R Data science professionals often rely on R as a programming language. It offers various data manipulation and modeling programs. R is free and open-source software, meaning anyone can download, use, and modify it without cost, making it one of the most data science programming languages in demand. This ensures that everyone can benefit from its capabilities. R, a statistical computing program designed specifically for statistical computation, offers various analytical tools to analyze data, such as nonlinear and linear modeling, time series analysis, and clustering. SQL SQL is a language designed to manage the querying of relational databases. Data scientists often rely on databases for analysis and information access, so familiarity with SQL is essential. SQL allows developers to define, modify and delete database structures like indexes, tables, and constraints. They can also insert, update, remove, and query information within the database. SQL boasts a straightforward syntax to learn, making it ideal for those just starting in programming. C/C++ C and C++ are powerful, flexible programming languages for creating applications, system software, and embedded systems. C/C++ is an open-source language that can be compiled and run on various platforms such as Windows, Linux, and Mac OS. C is a procedural programming language focusing on data manipulation procedures and functions. On the other hand, C++ is an object-oriented programming language that supports objects and classes. MATLAB MATLAB is a high-level data science programming language for numerical computation, visualization, and programming. It has become heavily utilized in data science fields like signal processing, machine learning, and image analysis. MATLAB provides direct access to information from external sources such as images (.jpg, PNG), audio files (.mp), and actual-time files from JDBC or ODBC via its built-in functions like audioread for reading audio files and imread for reading images from external sources. Matlab has an integrated feature of Simulink that enables us to simulate control systems and observe their behavior in real-time. You can create any system using code or construction blocks, then view its operation using different built-in tools. Scala Scala is a programming language designed to work with the Java Virtual Machine and is renowned for its scalability and performance. It’s often used to construct large systems as well as distributed processing. Scala offers functional and object-oriented programming styles, enabling you to combine these powerful techniques for writing clean, reliable code. This combination provides maximum power when crafting code. This helps detect errors early in the compilation phase rather than at runtime, potentially saving much time and energy when debugging or testing. Go Go has its roots in many programming languages, especially the C Language. Composed of standard libraries and external third parties provided by organizations and individuals alike, the Go Project fosters creativity within computer programmers worldwide. You can generate binaries for your application with all dependencies included, eliminating the need to install the runtimes required for running it. This simplifies installation and updates for thousands of programs across various OSes and processor designs – an impressive step in software development. Julia Julia is a relatively new programming language quickly gaining traction among data scientists. Julia has been designed for speed, with capabilities comparable to C or Fortran. This makes Julia an ideal choice for data analysis and machine learning tasks. Julia makes writing code an interactive experience, making it simple to experiment with new ideas. Furthermore, Julia has been designed with dynamic typing so you can write code quickly without worrying about type declarations. SAS SAS stands for Statistical Analysis Systems. This top programming language for machine learning utilizes procedures for various tasks like data analysis and management. With SAS, you can generate both text-based and graphic presentation output. SAS simplifies information management by offering cleaning, transformation, and integration tools, enabling you to manage data from various sources easily. SAS offers a comprehensive suite of predictive and statistical analytics tools, such as regression analysis, time series analysis, and machine-learning algorithms. Java Java is a widely-used general-purpose programming language across various industries. It’s ideal for creating software that processes and analyzes large databases. Java is an object-oriented top programming language for machine learning, designed for modularity and reusability while being easy to manage. Java provides automatic memory management, so the programmer does not need to take special care in managing it. Read about the role of data science professionals in marketing. Conclusion A solid grasp of at least one programming language is necessary for success in the data science domain, as data science programming languages are in high demand. These languages are just some of the most commonly used ones within this field; thus, learning more than one language can only enhance your knowledge and open up more career prospects. To know more, visit the Online Manipal website. Here you can enroll in the degree and certificate programs from some of the prestigious universities and institutions.
Online BCA: A flexible and affordable path to a tech career With the enormous transformation that the education industry witnessed, many students are opting for an online BCA degree program because it provides learners with the knowledge they need, is more affordable, simpler to access, and is a flexible way to learn and thrive in the rapidly evolving IT business. It is a myth that BCA online degrees are not acceptable for work or higher education, as the University Grants Commission (UGC) has declared that all online degrees from an officially authorized university will be considered equivalent to on-campus BCA degrees. To know more, read Is an online BCA course equivalent to a regular BCA? Advantages of doing online BCA There are many benefits of an online BCA degree. Some of them are discussed below- Flexible schedule and environment Students in online BCA degree programs can set their learning environment according to their needs. Students can learn at their own pace as course materials are available online. Vast career opportunities BCA presents an array of professional opportunities in various sectors. A BCA graduate’s top career profiles include Cloud Architect, Data Scientist, Software Engineer, Digital Marketer, Product Manager and more. Good-paying positions Competent students receive an attractive package even in the beginning stages of their careers. This degree provides a prosperous profession with good pay and perks. Cost-effective mode of learning An online BCA degree program is a less expensive choice than on-campus education. The BCA online admission process is also easy for anybody to enroll in the program. As a result, it is ideal for students who cannot afford traditional courses because of financial and time restrictions. Up-to-date curriculum The online BCA program is designed with the latest market developments in mind. With a carefully crafted curriculum, students obtain a solid foundation in computer applications and coding languages. Suitable for working professionals Online BCA is the best option for professionals who want to study and earn at the same time because an online BCA for working professionals does not require you to attend physical classrooms or adhere to strict schedules. Easy availability of courses As the demand for online BCA degree programs grows, so does the accessibility of online learning programs. Numerous institutions have broadened their offering of basic and advanced courses online. More networking opportunities Earning a BCA online boosts networking opportunities. This network will assist individuals in building a successful career. Do recruiters accept online BCA degrees? Yes, recruiters accept online BCA degrees because credentials from the best online BCA degree program are recognized. So, as the popularity of online education for BCA degrees has grown, so has their credibility. Employers increasingly consider these degrees to be practically equivalent to on-campus degrees. After completing the online BCA degree programs, BCA graduates have a wide range of career profiles to choose from. BCA graduates can seek employment in various sectors, including computer programming, Network Engineering, web design, banking, System Administrator, Software development and more. Some of the top job roles for BCA graduates are: Computer Programmer Software Developer System Analyst Network Engineer System Admin Software Architect Software Tester Data Scientist Can BCA graduates get government jobs? After completing the BCA degree, individuals can apply for government positions in a wide range of government sectors, such as Banking, BPO, NIOS, BHEL, SAIL, SSC, UPSC, PSUs, IBPS, and more. Not only are these job opportunities connected to technology, but they also provide competitive salaries and other benefits. Some top government job roles are – System Administrator, Computer Programmer, IT Security Professional, Scientific Administrative Assistant, Data Management Executive, Software Developer, Project Assistant and more. These positions demand a technical degree as an eligibility requirement. Therefore an online BCA degree graduate can easily apply for government jobs. You can also read, How can BCA graduates increase their earning potential? Kickstart your tech career with MUJ’s affordable online BCA program The online BCA program offered by NAAC A+ accredited.Manipal University Jaipur is UGC-entitled. The industry-oriented BCA program curriculum offered by MUJ is prepared by industry experts and taught by highly qualified professors. The program covers the key programming languages, tools, and software concepts required to launch a career in the IT industry. Some of the highlights of Online Manipal are: Career guidance: The university has top counselors to offer career guidance, and students have the opportunity to interact with experts and clear their doubts. Live and recorded sessions: With live lessons, students can interact with professors in real-time, resolve doubts, and receive one-on-one mentor advice. Students can refer back to recorded lessons anytime they need to revise the concepts. Guest lectures and webinars by Industry Experts: MUJ specially organizes live masterclasses and guest lectures by Industry experts to deliver the latest industry insights. Placements and Career Support: Online Manipal offers various placement assistance facilities to assist students in developing their skills in line with their professional goals and provides them with relevant career support. Conclusion The tech sector is now one of the most exciting career fields, and the potential for growth is tremendous. Online BCA degree programs provide the right combination of specialized skill sets and extensive relevance, allowing BCA degree grads to explore a wide range of professional opportunities and swiftly advance to a tech career.
ESG in India: Emphasizing sustainability & responsible investing ESG (Environmental, Social, and Governance) investing is a relatively new idea in the Indian market, but it has gained a lot of traction recently. In India, social and environmental activism have a long history, and the country is becoming more aware of the importance of sustainable corporate practices and ethical investing. The greater awareness of connections between sustainability and financial success is one of the main forces behind ESG investment in India. Investors are starting to expect more openness and accountability from businesses in terms of their ESG performance as they grow more aware of the dangers posed by unsustainable business practices. The country’s asset management industry has also begun to take ESG considerations into account when making investment decisions. Also, a number of ESG rating agencies are now operating in India, providing evaluations of companies’ ESG performance and making it simpler for investors to examine the sustainability of their portfolios. With initiatives like the National Voluntary Guidelines on Social, Environmental, and Economic Responsibility of Business, which urge businesses to embrace ethical business practices, the Indian government has also taken strides to promote ESG investing. Further strengthening transparency and accountability, the Securities and Exchange Board of India (SEBI) has published guidelines mandating listed businesses to disclose their ESG performance. In general, ESG investing’s rise in the Indian market heralds a significant move towards more ethical and sustainable investing methods. Thus, the increasing awareness of ESG investing in the Indian market signifies a notable change towards more ethical and sustainable investing methods. It is expected that ESG investment will become even more common in India as understanding of its significance grows. This will bring prospective benefits for the economy, society, and environment in addition to investors. Read this article on business management trends in 2023. Legal and regulatory ESG compliance criteria Companies in India are required to abide by a number of legal and regulatory ESG (Environmental, Social, and Governance) criteria. Key compliance criteria include the following: Environmental compliance: Indian businesses must abide by a number of environmental rules, including those concerning waste management, the conservation of natural resources, and legislation relating to air and water pollution. Businesses must make sure they are adhering to these rules and act to reduce their environmental impact. Compliance with labor laws and regulations: Indian businesses must abide by a number of labor laws and rules, including those pertaining to minimum pay, working hours, and occupational health and safety. Businesses must make sure they are not involved in exploitative labor practices and are offering their employees a safe and healthy work environment. Corporate governance compliance: A variety of legislation concerning corporate governance, such as those pertaining to board composition, openness, and shareholder rights, are applicable to Indian corporations. Businesses need to make sure they are adhering to these rules and doing their part to advance ethical business conduct. Reporting and disclosure: Indian businesses are required to provide information on their ESG performance as well as their sustainability and social impact. There are further reporting obligations linked to environmental and social impact, and the Securities and Exchange Board of India (SEBI) has published rules mandating listed businesses to disclose their ESG performance in their annual reports. Voluntary frameworks and guidelines: Businesses can embrace a number of voluntary frameworks and guidelines to enhance their ESG performance. Examples of best practices for business sustainability and responsibility can be found in the National Voluntary Guidelines on Social, Environmental, and Economic Responsibilities of Business. You may be interested to learn more about financial inclusion and inclusive growth. The need for ESG adaption Adhering to ESG norms and criteria is a crucial part of conducting business in India, and organizations that put an emphasis on sustainability and ethical business conduct are probably better positioned to prosper in the long run. In order to address the increased demand for sustainable, socially responsible business practices, it becomes imperative for Indian enterprises to embrace ESG principles for: Environmental sustainability: India, one of the most populous and fastest developing nations in the world, is experiencing economic growth as well as a rapidly growing middle class. As a result, the nation deals with serious environmental issues like deforestation, water scarcity, and air pollution etc. Companies in India can lessen their environmental impact, protect natural resources, and cut back on waste by putting ESG principles into practice. For instance, the Indian company Tata Steel has put into practice a number of environmental efforts, including the utilization of renewable energy sources, a decrease in greenhouse gas emissions, and water resource preservation. Social impact: India faces serious social problems such as poverty, inequality, and poor access to healthcare and education. Companies can assist in addressing these issues and improving people’s lives by integrating social impact concerns into their business processes. For instance, the Indian IT services firm Infosys has put in place a number of programs to promote education, healthcare, and community development, including offering training courses for impoverished youngsters and funding rural development initiatives. Governance and accountability: Adapting ESG principles can aid in enhancing corporate governance and accountability in India. Companies can gain the trust of their clients, staff, and investors through fostering openness, moral behavior, and stakeholder involvement. For instance, the Indian conglomerate Mahindra Group has put in place a comprehensive CSR program that focuses on social impact and environmental sustainability, as well as on a code of conduct for moral business behavior. Some of the other Indian businesses who have implemented ESG (Environmental, Social, and Governance) principles and shown a dedication to sustainability and ethical corporate conduct included, the IT company, Wipro, who has implemented a variety of ESG policies, including a commitment to carbon neutrality, the use of renewable energy, and a focus on inclusion and diversity in the workplace. Sustainability is a key element of Mahindra & Mahindra’s business strategy. This is one of India’s top automakers. The company has begun taking several actions to reduce its carbon footprint, including using renewable energy, developing electric and hybrid vehicles, and promoting sustainable agriculture. One of India’s largest banks, HDFC Bank, has demonstrated its commitment to ethical banking practices. In order to promote financial inclusion, sustainable development, and community development, the organization has implemented a number of strategies. You may like to read another blog from this author on popular digital marketing trends. Current scenario in India In recent years, India has significantly advanced in terms of ESG implementation. The nation has started a number of programs and policies to support sustainability and ethical business practices. For instance, SEBI (the Securities and Exchange Board of India) has mandated that the top 1,000 listed businesses declare their ESG performance. In addition, the Indian government has started a number of programs like the National Solar Mission and the National Electric Mobility Mission Plan to support renewable energy and lower carbon emissions. Indian businesses are also beginning to take sustainability seriously. Several businesses have even established goals for lowering their environmental impact and enhancing their social and governance standards as they begin to incorporate ESG concerns into their decision-making processes. Yet, there is still opportunity for development despite the advances made. India has considerable obstacles in the areas of waste management, labor rights, and air and water pollution. However, not all Indian businesses are utilizing ESG principles to their full potential, and more openness and disclosure are still required. India is advancing in the adoption of ESG, but there is still much work to be done. Manipal Academy of Higher Education (MAHE) teaches Sustainability as a subject with online MBA for working professionals. It covers various concepts in sustainability, including circular economy, sustainable business model canvas and others.
How analytics in banking and finance opens doors to lucrative job roles in banks Banks and other financial institutions have long incorporated data analytics into their daily operations. Analytics, out of all the digital tools currently available, offers the ability to improve customer experience, spot chances for revenue development, and maintain competitiveness in this more turbulent market. There are many new employment roles in banks as a result of the application of analytics in banking and finance. These positions frequently call for candidates with strong analytical and mathematical abilities as well as the ability to understand and articulate complicated data insights. The scope of Analytics in Banking and Finance for career growth is tremendous, so job roles are projected to grow over time. You can also read, Top companies hiring TAPMI’s on-campus MBA-BKFS graduates. How is analytics used in the banking and finance sector? Banks today use analytics to extract finely detailed information from vast amounts of data, or “big data,” and then use that information strategically and make wise judgments at all levels of the organization. Some of the most important applications of data analytics in the banking and financial industry are listed below: Client segmentation Customers can be divided into groups based on their behavior, interests, and financial history using data analytics. As a result, customer satisfaction increases, and banks are better able to customize their goods and services to fit the unique demands of each sector. Detecting fraud Fraud in financial transactions is recognized and prevented using data analytics. Banks can spot fraudulent behavior and take preventative actions to stop it by examining trends in transaction data. Investment Evaluation Market movements and possible investment possibilities are analyzed using data analytics. Banks can choose investments that maximize profits while avoiding risks by carefully assessing data from market research reports and previous market data. Risk Administration Banks can detect possible risks and take preemptive steps to manage them by evaluating data from a variety of inputs, including credit ratings, transactional statistics, and past market information. Loan Underwriting The degree of risk involved with financing certain borrowers is assessed by employing data analytics in the loan underwriting process. Banks can assess the risk involved in lending to specific borrowers and make wise credit decisions by examining data like credit ratings, income brackets, and debt-to-income ratios. Top job profiles to explore in banks using analytics There is a need for proficiency in analytics in Banking and Finance for high-paying job roles across the banking and financial sector. A greater demand for employees with excellent analytics abilities is being driven by the banking sector’s rising reliance on data. In banks, the following are among the best profiles to explore utilizing analytics: Credit Risk Analyst The role of credit risk analysts in the banking industry constitutes the assessment of borrowers’ credibility and the estimation of the risk affixed to lending to them. Banks can spot possible hazards and take preventative action to reduce them by examining data like default rates and patterns. Banks can arrive at credit decisions that optimize returns while avoiding risks by utilizing tools and procedures for credit risk analysis. Data Analyst – Banking & Finance Data analysts serve an essential function in banking and finance by offering insights into consumer behavior, market dynamics, risk assessment, and operational excellence. Data analysts in banks might work on a variety of tasks, such as client segmentation and product pricing. Banks can choose investments that maximize profits while avoiding risks by carefully assessing data. Data Scientist Data science is revolutionizing the banking industry by giving banks the resources and knowledge they require to better explain their clients, streamline their processes, and create new goods and services. Data scientists enable banks to make effective use of the enormous volumes of data they gather to understand customer behavior and spot fraud. So, banks can increase client satisfaction, lower risk, and maintain competitiveness in a market that is becoming more and more crowded with competitors with the aid of data scientists. Business Analyst (banking domain) Business analysts in the banking industry evaluate and uncover areas where the operations, procedures, and technology of the bank can be improved. Business analysts assist banks in achieving their business goals by locating issues and resolving them, enhancing productivity, and cutting expenses. Digital Marketing Analyst Digital marketing analysts perform a crucial role in the banking system with the use of data and analytics to enhance the bank’s digital marketing initiatives. They help banks draw in and retain consumers and make closer connections with their clients by leveraging data and analytics to create customized marketing campaigns and assess their efficacy. Pursue an online MBA-BKFS from TAPMI TAPMI’s online MBA in Banking and Financial Services (BKFS) program has been thoughtfully tailored for online education after successful on-campus execution. The online program focuses on developing experts who are prepared for the future by educating them about blockchain technology, cryptocurrencies, and other breakthroughs in the emerging BFSI setting. The program helps working individuals pursue management roles or advance to leadership roles in the BFSI field by equipping them with cutting-edge digitalization, up-to-date content, and 4 industry-focused optional modules. You can also read, How MBA-BKFS helps you transition into leadership positions in the BFSI sector. Conclusion Today, data analytics is indispensable to the seamless operation of financial institutions. It compiles together all data and statistics into a manageable amount of information. Skills acquired from Analytics in Banking and Finance for job roles across various sectors can make you stand apart. If you want to work in the banking and finance sector or advance to leadership and managerial positions in the BFSI sector, getting an MBA in BKFS may be a sensible choice. The MBA in BKFS program is in high demand due to the growing demand for individuals with the competencies and expertise to oversee the quickly expanding financial industry. So, hurry and enroll in MBA in BKFS from a reputed institute like TAPMI for a lucrative career ahead.
How TAPMI’s online MBA-BKFS helps pursue managerial careers in corporate finance TAPMI’s online MBA in BKFS (Banking and Financial Services) program is designed to equip learners with the advanced skills and knowledge to climb the corporate ladder in managerial careers, specifically in the banking and financial services industry. The program can help professionals achieve their career goals with a specialized curriculum, industry exposure, leadership development, and placement assistance. Corporate Finance career path Corporate finance refers to the financial management activities undertaken by businesses to maximize shareholder value through effective financial decision-making. This includes financial planning, investment analysis, capital budgeting, risk management, and financial reporting. Corporate finance professionals are critical in ensuring that companies make sound financial decisions that support their strategic goals and drive growth. Financial planning & analysis – FP&A professionals are responsible for developing financial plans, budgets, and forecasts for the business. They analyze financial data and performance metrics to provide insights and recommendations to senior management on how to improve financial performance and achieve business objectives. Controllership – Controllership professionals are responsible for the accounting and financial reporting activities of the company. They oversee the preparation of financial statements and ensure compliance with accounting standards and regulations. Treasury – Treasury professionals are responsible for managing a company’s cash and liquidity, as well as its investments and financial risk. They work to ensure that the company has enough cash on hand to meet its obligations and invest excess cash in a way that maximizes returns and minimizes risk. Investor relations – Investor relations professionals are responsible for managing the relationship between the company and its investors, as well as the broader financial community. They work to communicate the company’s financial performance, strategy, and outlook to investors and analysts and to provide insights into the factors driving the company’s financial results. Corporate development – Corporate development professionals are responsible for identifying and evaluating growth opportunities for the company, such as mergers and acquisitions, joint ventures, and strategic partnerships. They work to analyze the financial and strategic impact of potential deals and to negotiate and execute transactions that align with the company’s growth objectives. Top careers in Corporate Finance Chief Financial Officer (CFO) is one of the top careers in corporate finance. The CFO is responsible for managing the company’s finances and ensuring that the company is making sound financial decisions that support its strategic goals and drive growth. To become a CFO, candidates typically need a strong background in finance, accounting, and business management, as well as significant experience in leadership roles within the finance function. Many CFOs have advanced degrees in finance or business, such as an MBA or a Master’s in Finance. Other top job roles include- Financial Planning & Analysis Manager – Financial Planning & Analysis (FP&A) Manager is another top career in corporate finance. FP&A managers are responsible for developing and implementing the company’s financial plans and forecasts, as well as analyzing financial data to support the company’s strategic decision-making process. Many FP&A managers have advanced degrees in finance or business, such as an MBA or a Master’s in Finance. Corporate Accountant – Corporate Accountant is another top career in corporate finance. Corporate accountants are responsible for managing the financial records of the company, ensuring that financial transactions are accurately recorded and reported in compliance with accounting regulations. To become a corporate accountant, candidates typically need advanced degrees in accounting or finance, such as a Master’s in Accounting or a CPA designation. Corporate Finance Manager – This is one of the top careers in corporate finance. A corporate finance manager is responsible for managing the financial operations of the company, providing financial analysis, and making strategic recommendations to support the company’s growth and profitability. Many corporate finance managers have advanced degrees in finance or business, such as an MBA or a Master’s in Finance. Treasurer – A treasurer is responsible for managing the company’s cash and liquidity, as well as its debt and risk management strategies. To become a treasurer, candidates typically need a strong background in finance, accounting, and business management, as well as experience in treasury operations and financial risk management. Many treasurers have advanced degrees in finance or business, such as an MBA or a Master’s in Finance. Financial Analyst – Financial analysts are responsible for analyzing financial data and information to support decision-making and strategic planning in the company. Financial analysts must have advanced degrees in finance or business, such as an MBA or a Master’s in Finance. Cost Analyst – Cost Analyst is one of the top careers in corporate finance. A cost analyst is responsible for analyzing the costs associated with the production of goods and services in the company and for identifying opportunities to reduce costs and increase efficiency. To become a cost analyst, candidates typically need a strong background in finance, accounting, and business management, as well as experience in cost analysis and process improvement. Controller – A controller is responsible for managing the company’s financial reporting and accounting functions, as well as for ensuring that the company is in compliance with financial regulations and reporting requirements. Many controllers have advanced degrees in accounting or business, such as a Master’s in Accounting or an MBA. Auditor – An auditor is responsible for examining and evaluating the company’s financial statements, accounting records, and internal controls to ensure accuracy, compliance, and financial integrity. Auditors are required to hold advanced degrees in accounting or business, such as a Master’s in Accounting or an MBA. Also read: Top companies hiring TAPMI on-campus graduates Skills learned with TAPMI’s online MBA BKFS TAPMI’s MBA in Banking and Financial Services (BKFS) program is designed to equip learners with various skills and knowledge related to the finance industry. Some of the key skill sets that one can expect to learn through the program include: Financial Analysis: Students will learn how to analyze financial data, including financial statements, market trends, and investment opportunities. Risk Management: Students will learn how to identify and assess financial risks, as well as how to develop and implement risk management strategies. Strategic Planning: Students will learn how to develop and implement strategic plans for financial organizations, taking into account market trends, customer needs, and business objectives. Leadership and Management: Students will develop leadership and management skills, including team building, communication, and decision-making. Ethics and Professionalism: Students will learn about ethical principles and professional standards in the finance industry and develop a strong sense of professional responsibility. Pursue an online MBA in BKFS from TAPMI The MBA in Banking and Financial Services is a flagship program offered by TAPMI, and this program is now available in the online mode on the Online Manipal website. The advanced corporate finance elective offered by TAPMI under the online MBA BKFS program is designed to equip learners and professionals with the necessary skills and knowledge to advance in corporate finance roles in the banking and financial services industry. Here are some of the key features of TAPMI’s advanced corporate finance elective: Practical Learning: The program includes case studies and simulations that enable learners to apply the concepts learned in real-world scenarios. Industry-Relevant Curriculum: The course curriculum is designed in consultation with industry experts to ensure that it is relevant and up-to-date with the latest trends and practices in the field of corporate finance. Faculty Expertise: TAPMI has a team of experienced faculty members who have extensive experience in corporate finance roles in the industry. They bring their expertise to the classroom, making the course engaging and insightful. Industry Interface: TAPMI has established partnerships with leading companies in the banking and financial services sector, providing students with opportunities to interact with industry leaders, participate in internships, and gain exposure to industry practices. Career Opportunities: The advanced corporate finance elective prepares students for a range of roles in the new-age BFSI industry, including investment banking, corporate finance, and risk management. TAPMI’s strong industry connections also provide students with access to a wide range of career opportunities. Conclusion In conclusion, online TAPMI’s MBA BKFS provides a strong foundation for professionals to pursue and advance in managerial careers in the corporate sector. The skills and knowledge acquired through the program equip one with the confidence and expertise that are necessary for a successful career in the corporate world. The networking opportunities and exposure to industry leaders also provide invaluable resources for students to better understand the corporate landscape and make informed decisions in their managerial careers. Therefore, TAPMI’s online MBA is an invaluable asset for those looking to pursue managerial careers in the corporate world.
Leveraging logistics & transportation for efficient supply chains Suppliers, manufacturers, distributors, and customers are only a few stakeholders involved in the supply chain management process, which is multifaceted and interrelated, necessitating close coordination and cooperation among all parties. Logistics and transportation, which play essential roles in the operation of a supply chain, are required for the timely and effective transfer of commodities and products from one site to another. These two activities are in charge of getting the right commodities to the right places on time and in good condition. Logistics in supply chain management can impact the overall efficiency of the operation, from stock management to shipment coordination. In this blog, we’ll look at how logistics and transportation fit into supply chain management and how they affect KPIs like efficiency, performance, and customer satisfaction. Logistics in supply chain management Supply chain management would be incomplete without logistics. Logistics is the process of moving items and materials from one location to another, and it involves more than one form of transportation. Some of the most important functions of logistics in a supply chain are as follows: Order processing Logistics plays a crucial part in the supply chain, from when an order is received until it’s processed. The key to efficient logistics is controlling the entire process, from taking orders to fulfilling them. Today, technological advancement in order processing is critical to the success of any organization, no matter how big or small. Thanks to a well-oiled logistics infrastructure, orders are processed, packaged, and shipped successfully. Demand forecasting Regarding managing the supply chain, logistics demand forecasting can help foresee the need for materials or goods ahead of time. The market is influenced by various external factors, which can only be mitigated through careful planning and timing. Forecasting models assist organizations in making sound decisions by predicting client demand and quickly fulfilling orders. As a result, utilizing cutting-edge technology, such as advanced analytics and robust databases, can assist your firm in taking the next step forward. Quick response Client inquiries must be resolved as quickly as possible by logisticians. Fleet owners can have greater control over their supply chain, allowing them to serve their consumers better. As a result, firms may respond to customer orders more promptly and correctly. Instant client service makes a successful company model. Meeting a customer’s needs in the present world is significantly faster thanks to the employment of cutting-edge technologies. Information and control Data-driven logistics operations are important supply chain procedures. It is critical to monitor and manage operations to make better decisions. Obtaining meaningful information for the operation of a workflow can assist firms in achieving transparency throughout the supply chain. Information and control are extremely valuable for accomplishing strategic goals and boosting the logistics industry’s future. Understanding and analyzing logistics operations tend to simplify management processes because it assists organizations in keeping track of day-to-day activity. Monitoring the flow of information might, thus, assists firms in developing holistic supply chain management. Role of transportation in supply chain management ResponsibilityDescriptionCritical RoleLogistics and transportation are critical to ensure the timely delivery of products at the lowest possible cost.CoordinationLogistics and transportation management requires coordination of all activities involved in the movement of goods.Transportation ModesTransportation modes should be selected based on product characteristics, cost, and delivery time.Efficient RoutingEfficient transportation routing can minimize transportation costs, reduce lead times, and improve customer service.Logistics ManagementLogistics management involves inventory management, warehousing, packaging, and material handling. The most important component of a supply chain is transportation. It entails delivering things from the beginning to the finish of a supply chain. Transportation must be managed efficiently for a supply chain to be considered effective. This includes ensuring that the transportation and logistics strategy is dynamic and responsive to market demands. Supply chain transportation management comprises transporting a product from a supplier to a client or a distribution shop through road, rail, pipeline, air, or sea. Better inventory flow Effective transportation management keeps your inventory small, making stock flow through your warehouses considerably smoother and more efficient. Improving the flow of items into and out of your warehouse can help you save money on storage and transportation while shortening the overall lead time (the time it takes to receive goods after placing an order.). Effective logistics management can help reduce lead time by ensuring that products are delivered promptly and efficiently. Reduce costs Transportation in a supply chain can reduce expenses. The majority of the logistics budget is spent on freight and gasoline. Moving things from one area to another via one or a combination of means of transportation is an expensive endeavor. With the correct data, shippers can gain insights into freight movements and other elements likely to affect transportation costs to various destinations. This gives them a greater understanding of the transportation ecology and how it affects the supply chain. Local fulfillment and distribution A supply chain distribution network is a linked system of warehouses and transportation hubs that receive stocks of items before distributing them to customers. It connects the maker with the final consumer directly or through a retail network. With changing consumer demand, a fast and dependable distribution network is essential. The proximity of a distribution network to the client and its infrastructure are two of its most important components. Smart transportation facilitates the right connection of various components. Become a professional in logistics & supply chain management Taking up a course or earning a degree in logistics and supply chain management from MAHE is a wonderful way to break into this fascinating and growing field. The MAHE postgraduate degree in logistics and supply chain management will provide a solid foundation in the procedures and infrastructures required for efficient and successful item distribution and data exchange. You will learn about the benefits and drawbacks of various modes of transportation, such as trucking, train, sea, and air, and how to choose the best one for a certain shipment. You’ll also become acquainted with the many technologies and tools in logistics and transportation optimization, including transportation management systems, supply chain planning software, and warehouse management systems. If you want to impact how organizations operate positively, you should consider getting a degree or completing a course in logistics and supply chain management from MAHE. Conclusion Transportation and supply chain logistics management are vital in taking items where they need to go. Professionals in these industries are intimately familiar with the processes and procedures required to ensure on-time, cost-effective, and trouble-free shipment delivery. Professionals who get an MBA degree or take a logistics and supply chain management course have the knowledge and skills needed to compete in this fast-paced business. Check out our courses today! Key takeaways: Logistics and transportation play a critical role in supply chain management, ensuring that products are delivered to customers on time and at the lowest possible cost. Effective logistics and transportation management requires coordinating all activities involved in the movement of goods, including planning, execution, and monitoring. Transportation modes, such as road, rail, air, and sea, should be selected based on product characteristics, cost, and delivery time. Efficient transportation routing can minimize transportation costs, reduce lead times, and improve customer service.
Data science’s impact on digital transformation in companies Data science uses computer programming skills and mathematical techniques to extract information from data sources. It involves several steps: data collection, processing, modeling, analysis, and decision-making. Data scientists often use statistical methods to analyze large amounts of information to find patterns or trends that could lead to new insights. Data science allows organizations to accurately understand their stakeholders’ needs and wants, such as mitigating risk and fraud and predicting trends. This is done using machine learning techniques such as artificial intelligence (AI) and natural language processing (NLP). Want to know the job opportunities in the field of data science? Check out our blog on data science concepts for more information! Importance of digital transformation in today’s business landscape Digital transformation is a process of digitizing existing business processes and systems. It is the process that allows businesses to use information technology and other technologies to improve their performance. Data science in digital transformation has many advantages, including: Reduced costs Improved product and service quality Improved time-to-market Highly-driven growth Improved customer experience Enhanced company culture Sustainability efforts Improved collaboration within and across departments Are you wondering if there is a scope for data science as a career? Check out our detailed blog on data science scope for more information. Data science in digital transformation The concept of data science is an umbrella term for a range of fields that use math, statistics, and computer science to analyze large amounts of data to extract insights. Fraud detection – One example of the application of data science is fraud detection. Companies that use this method can use their data to determine whether or not someone has committed fraud in the past. They can then take action to prevent it from happening again. Healthcare – Another application of data science involves healthcare. Doctors can access patient records to make recommendations based on their medical history and genetic makeup, which might allow them to identify potential cancer early on. Search history – The internet search industry also uses data science. For example, Google uses data science to suggest search terms based on what you’ve searched before. Consequently, you’ll be likelier to click on things you’re interested in when shown in your history than random things from the database! Targeted advertising – Targeted advertising has also become more sophisticated thanks to advances in computer algorithms that can identify people’s interests based on what they’ve been buying online or through social media channels like Facebook or Twitter. Other applications include: Website recommendations Advanced image recognition Speech recognition Airline route planning Gaming and augmented reality Want to know the importance of data science? Check out our detailed blog on reasons for choosing data science to gain more insights. Digital transformation strategies Here’s a quick rundown of the digital transformation strategies: Align on the ‘Why’ of Digital Transformation First, businesses must understand why they want to transform their businesses. The benefits should be clear, such as improved product or service quality. Then, they can choose which steps will help them achieve their goals. Prepare for Culture Change Culture is an important part of any transformation effort, so starting with an open mind and working with existing employees before implementing new processes or technology is important. This will ensure that everyone understands why this change is happening and how it will benefit everyone involved. Start Small but Strategic Companies should begin with small changes to test new technologies before making large systematic changes across the organization. It helps them identify problems early on and avoid costly mistakes later on down the line when it’s too late! Map out Technology Implementation Work with your team to map out the technology implementation strategy for your business. You can do this in various ways, from using a simple spreadsheet or Google Docs to creating a high-level 3-5 year plan. Seek out Partners and Expertise Once you have your plan, it’s time to find the right partners and expertise! You can do this in many ways—from reaching out directly to field experts, seeking out experts online, and scanning through referrals from other businesses that have implemented similar digital transformation strategies. Gather Feedback and Refine Strategies as Needed You may need to tweak your digital transformation strategies based on feedback from partners or experts. Gathering feedback is important to refining what works best for your business model! Is Python necessary for data science? Find out by visiting our blog here. Data-driven decision-making Data science supports data-driven decision-making by systematically analyzing a set of data, identifying its patterns, and interpreting the results. The analysis involves both exploratory and confirmatory techniques. Exploratory techniques are used to understand the data and identify patterns that may not be immediately apparent. These techniques include logistic regression, classification trees, and principal component analysis (PCA). Confirmatory techniques test hypotheses about how well models fit actual data. These include cross-validation methods based on bootstrap resampling or automated feature selection algorithms. Digital transformation case studies Here are some examples of companies that have successfully implemented digital transformation case studies: Commercial Bank of Kuwait (CBK) use of video chat Domino’s chatbot implementation Nike’s e-commerce strategy Use of virtual reality (VR) for patient care Convenience for businesses & customers AUDI’s innovative showroom Sephora’s omnichannel strategy Digital transformation consulting Data science experts can help digital transformation consulting by helping consulting firms gain access to the data they need to make businesses work. They can work with businesses on a case-by-case basis or assist with creating a data science team, which will then work closely with the consultant throughout the process. The experts check that each piece of information gathered is consistent with other information to ensure that it’s not skewed or inaccurate. They will also determine why certain results might change if certain variables are changed. Want to know the reasons for becoming a data scientist? Check out our detailed blog on data scientists for further information! Data science job roles and salaries Job rolesSalariesData ScientistINR 10 LPAData AnalystINR 12 LPAData EngineerINR 8.5 LPAData ArchitectINR 24 LPAData StorytellerINR 7 LPAMachine Learning SpecialistINR 15 LPAMachine Learning EngineerINR 21 LPABusiness Intelligence DeveloperINR 6 LPADatabase AdministratorINR 10 LPASource: AmbitionBox Conclusion Manipal Academy of Higher Education (MAHE) has the industry’s best data science degree program. Online M.Sc. in Data Science from MAHE helps students pursue the program from the convenience of their homes. Our faculty has done extensive research and are world-class experts in their field. We also offer many other courses to help you grow your career in data science or machine learning. You can learn to use R or Python to perform data analysis, create your algorithm, or even become an expert at building a predictive model. If you’re interested in pursuing a degree in these fields, check out our website! Key takeaways: Data science is a discipline that takes data, processes it, and uses it to drive decisions. It encompasses various concepts and tools, including statistics, computer programming, machine learning, and natural language processing. Data science can solve many problems, including fraud detection, risk assessment, marketing optimization, and product development. Data scientists can be found at all levels of an organization, but they tend to work in teams. Data scientists often work closely with business analysts, product managers, software engineers, and machine learning specialists.
