What are different tools useful in the process of Data Analysis

Owing to the growing importance and demand for data analytics by companies all over the world, recruiters are struggling to fill positions. Starting with data analytics can be extremely daunting, and moreover, the choice of tools can be even tougher. To make things easier for you, Data Analyst Training in Gurgaon can be your best choice to learn the necessities of Data Analyst. Let’s see how some tools aid your data analysis process.

Different Data Analytics tools

Microsoft Power BI

Microsoft Power BI is a business intelligence platform with support from different data sources. It allows users to create and share reports, visualizations, and also dashboards. Users can easily combine a group of dashboards and reports into a Power BI app for simple distribution.

SAP Business Objects

SAP Business Objects offers a suite of business intelligence applications for data discovery, analysis, and reporting. The tools are available for less technical business users but are also capable of performing complex analyses.


Sisense is a data analytics platform for helping both technical developers and business analysts process and visualizes all of their business data. It hosts a large collection of drag-and-drop tools and offers interactive dashboards for collaboration.

TIBCO Spotfire

TIBCO Spotfire is a data analytics platform that offers natural language search and AI-powered data insights. It’s a complete visualization tool that can publish reports to both mobile and desktop applications.


Thoughtspot is an analytics platform that allows users to explore data from different types of sources through reports and natural language searches. Its AI system, SpotIQ, finds insights automatically to help users discover patterns they didn’t know to look for.


Qlik provides a self-service data analytics and business intelligence platform for both cloud and on-premises deployment. The tool hosts strong support for data exploration and discovery by technical and nontechnical users alike.

SAS Business Intelligence

SAS Business Intelligence provides a complete suite of applications for self-service analytics. It has various built-in collaboration features, like the ability to push reports to mobile applications. While SAS Business Intelligence is a flexible platform and can be more expensive than some of its competitors.


Tableau is a data visualization and analytics platform that enable users to create reports and share them across desktop and mobile platforms. It can run on both the cloud and on-premises.

Google Data Studio

Google Data Studio is a free dashboarding and data visualization tool that automatically integrates further with most other Google applications. Owing to its integration with other Google services, Data Studio is an excellent choice for those who need to analyze their Google data.


Redash is a cost-effective and lightweight tool for querying data sources and building visualizations. The code is open source, and an affordable version is available for organizations.

Periscope Data

Periscope Data is a business intelligence platform that supports integrations for a variety of popular data warehouses and databases. Technical analysts can generally transform data using SQL, Python, or R, and less technical users can easily create and share dashboards.


Metabase is a free, open-source business intelligence tool. Besides, Metabase allows users to “ask questions” about data, which is a way for non-technical users to use a point-and-click interface for every query construction. This moreover works well for simple filtering and aggregations. Thus, more technical users can go straight to raw SQL for more complex analysis.

Jupyter Notebook

Jupyter Notebook is a free, open-source web application to run in a browser or on desktop platforms after installation using the Anaconda platform or Python’s package manager, pip. It enables developers to create reports with data and visualizations from live code.


If you look to move ahead in your data analytics journey and search for the right tool, you need to invest quite your time in understanding your organization’s data needs. And further, analyze various tools available in the market and then decide. To correctly process the data analytic tool, you need to have an in-depth knowledge of the Data Analytics system. However, owing a Data Analyst Online Certification justifies your knowledge about the areas of Data Analysis. However, looking at the industry demands, a certification is a very essential requirement for your future in the field of Data Analysis.



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