Data analytics is extracting data from raw sources and then processing it to generate meaningful insights. It is an important part of most businesses, as it helps them make informed decisions that can improve their processes and increase profits.
The use of tools for data analytics has grown exponentially over the years, with many companies now using it to gain a competitive advantage over their rivals. The challenge today is finding the right tools used for data analysis to help you get started with this process.
But let us first try to understand what data analytics is.
Data analytics is the process of collecting, analysing and interpreting data in order to make better business decisions. It allows customers to gain useful insights about their customers through various sources such as customer surveys, social media posts, website visits, etc.Today, it is used in almost every industry from retail to manufacturing to healthcare.
Data analytics tools are software that helps you to collect, store, and analyse data. They can be used to create visualisations, build predictive models, and perform statistical tests.
These tools are often used by businesses to gain insights into their customers and operations. For example, a company might want to know how many customers they have at different times of the day. They could use an analytics tool like Google Analytics or Kissmetrics to track this information over time.
The rise of big data has led to the development of data analytics tools that help businesses process large amounts of data in order to make informed decisions.
A good data analytics tool helps you get from raw data to useful insights quickly and easily. It should make your job easier by automating tasks that might otherwise be complex. It also helps you understand how your customers are interacting with your business so that you can improve their experience with your product or service.
To help you, here are the top 10 data analytics tools list in 2022:
Microsoft Power BI is a software product that helps you visualise your data and make it more accessible. The software is used in various industries, including education, healthcare, finance, and retail. If you are looking to improve your business performance, then Microsoft Power BI can help you make data easier to analyse and understand. It is one of the best analytics tools in the market.
The following are some of the benefits of using this tool:
Tableau is a data analytics tool companies use to extract insights from their data and make better business decisions. It is a cloud-based software with various features such as visualisation, reporting, analytics and collaboration, making it easy for users to quickly analyse large amounts of data.
Tableau is used by many organisations across the globe to improve their business processes by making better decisions based on data analysis. Some of its key features include:
Qlik Sense is a platform that enables users to create, share and analyse data. It can be used to display data in various charts, tables and graphs. Qlik Sense is also compatible with other software such as Microsoft Office, Salesforce and SAP.
Qlik Sense is useful for companies that need to analyse their data to make better business decisions. The platform provides an easy way for users to explore their data by creating interactive visualisations that let them see relationships between different types of information clearly.
Qlik Sense offers many advantages over other similar platforms:
Looker is a data analytics tool that helps you visualise and analyse your data simply and interactively. It allows you to connect to any database and gives you the ability to create powerful reports, pivot tables, dashboards, and more.
Looker allows users to create reports that can be shared with others in their organisation. This makes it easier for everyone to collaborate on projects. With Looker, users can share their work with other team members and set up alerts to know when new information has been entered into their database.
Looker also offers extensive API support so companies can integrate their data into third-party apps such as Gmail, Google Sheets, Microsoft Office 365, and Salesforce. This makes it easy for teams to share information across different platforms without worrying about compatibility issues or data duplication errors caused by manual data entry errors.
Klipfolio is a cloud-based data analytics tool that allows users to create and share custom data visualisations. With Klipfolio, you can easily create dashboards and graphs specific to your needs—and then share them with clients, colleagues, or others who need to see the data.
There are several advantages to using Klipfolio:
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Zoho Analytics is a comprehensive and easy-to-use business intelligence software tool. Zoho Analytics is used by companies of all sizes, including small, mid-market, and large enterprises.
Zoho Analytics features include:
DOMO is a tool of data analysis that helps users build a business intelligence dashboard. The software offers over 200 pre-built widgets and connectors and the ability to create custom dashboards.
The dashboard builder allows users to drag and drop widgets onto a canvas to build their own customised dashboards. These widgets are organised by category, including reports, charts, maps, alerts, etc. Once added to the canvas, users can connect their widgets together using DOMO’s drag-and-drop functionality.
Users can access all their data from one place using DOMO’s data warehouse technology. The platform offers access to over 100 data sources, including Google Analytics, Salesforce CRM, Salesforce Data Cloud and AWS Lambda.
It also integrates with many other third-party applications such as QuickBooks Online and Microsoft Power BI so that you can use your existing data without having any duplication issues between systems or having multiple providers that might be hard to manage later on down the road when things start getting complicated for example if you have multiple providers with different pricing models etc.
Splunk is an analytics tool that analyses data and turns it into actionable information. Splunk users can use the tool to monitor, troubleshoot, and gain insight into their business applications and IT infrastructure.
Splunk provides a robust platform for collecting, indexing, searching, and analysing machine-generated data in real time. This platform allows you to search for insights in your data using natural language queries.
The following are some of the benefits of using Splunk:
Apache Spark is a tool for data analysis. When people talk about Apache Spark, they usually mean the Apache Spark Core project. The core project contains the Scala and Java APIs for building programmes that run on a cluster of nodes and manipulate data in parallel using in-memory storage.
This post discusses the benefits of using Apache Spark for data analysis.
Benefits of using Apache Spark for data analysis
Talend is a data integration tool that provides access to data from all over the place, including databases, files and APIs. It allows you to integrate these disparate sources and use them as one cohesive source of information—and what’s more, it is extremely easy to use.
One of Talend’s most useful features is its ability to connect with multiple databases at once, which means you don’t have to worry about having different people working on different parts of your data analysis. This saves time and makes it easier for everyone involved in the process to stay up-to-date on what’s going on.
Analytics is a critical aspect of digital marketing; as such, it is only expected to become more important in the coming years. Make sure you invest in the best data analytics tools for your business. Using the right skills will help you gain a competitive advantage and increase your revenue. There are various analytics tools and platforms that you can use to get actionable insights from your website or app. Want to become an expert in the data analysis domain? Enrol with Online Manipal Courses to make it possible.
Information related to companies and external organizations is based on secondary research or the opinion of individual authors and must not be interpreted as the official information shared by the concerned organization.
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