What are the Tools we use in the Data Analytics Process?

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Data Analysis is one of the essential practices of modern businesses in order to experience success.

As a consequence, a lot of students have taken to this field because the scope is definitely high and will lead them to great results and outcomes in the future.

Since the process can only be carried out by experts with the right training and certification, it comes as no surprise that a lot of things can only be learnt via right training from an experienced institute.

For every aspiring data analyst, a question that stands high on the list of things to find out is that what are the tools we use in the data analytics process.

For this every purpose, we bring to you this article, which will render you with all the most amazing information about data analytics tools and how you can choose based on what an organization does.

Choosing the right data analytics tools can be tricky, especially given how each serve a different purpose and fits different needs. Thus, to say that only certain specific tools are all that you need will be entirely wrong.

Hence, we are here with a list of some of the best data analytics tools in the market today, from which you can choose which ones you wish to gain expertise in and become a valuable part of the tech world.

Let’s begin!

Data Analytics Process

Microsoft Power BI

Considered to be a leading business intelligence platform today, it supports dozens of data sources and allows its users the chance to create and share dashboards, reports, and visualizations. It also gives its users the facility of building automated machine learning (ML) models.


A well- known data analytics platform, it aims to help business analysts and technical developers visualise and process their entire business data.

Its keys features include interactive dashboards for the purpose of collaboration and a humongous collection of drag- and- drop tools. It also flaunts a custom In- Chip technology.


A data analytics platform, Thoughtspot gives its users the facility to explore data from multiple sources via natural language searches and reports.

It has an AI (artificial intelligence) system names SpotIQ that automatically finds insights in order to help users detect patterns that they were not originally looking for.

SAS Business Intelligence

With multiple built- in collaboration features, SAS Business Intelligence offers a myriad of applications for self- service analytics. It is known to be highly flexible and comprehensive, but also comparatively more expensive than its competitors. Thus, it is majorly chosen by larger enterprises.

Google Data Studio

A free data visualization and dashboarding tool, Google Data Studio automatically integrates with multiple Google applications including Google Ads, Google BigQuery and Google Analytics, amongst others.

Thus, it has become a boon for enterprises that wish to analyse their Google data because of its integration with these Google services.

SAP BusinessObjects

This platform offers various different business intelligence applications for the purpose of data analysis, data reporting and data discovery.

While its tools are majorly directed for those enterprises with less technical business purposes, more complex tasks can also be performed. SAP BusinessObjects also facilitates its uses for self- service predictive analytics.

TIBCO Spotfire

This data analytics platform is one which offers artificial intelligence and natural language search- powered data insights. It also offers point- and- click tools to build predictive analytics models.


A well- known self- service business intelligence and data analytics platform, Qlik supports both on- premises and cloud deployment.

This tool is famous for the strong support it offers for data discovery and data exploration by technical as well as non- technical users.


A data analytics and data visualization platform, Tableau facilitates its users to create as well as share reports across mobile and desktop platforms, embedded in an application, or within a browser.

This can run on both on- premises and on the cloud. However, the one major drawback is that its lacks support for advanced SQL queries.


A cost- effective and lightweight tool, Redash is used for querying data sources as well as building visualizations.

The core of this tool is the query editor that offers a simple yet effective interface to help write queries, manage integrations and explore schemas.


This open- source, free data analytics and business intelligence tool is turning heads. It gives its users the chance to ask questions about data.

This tool also holds the capability to push analytics results towards external systems such as Slack.


A famous cloud- based data analytics and business intelligence platform, Looker features automatic data model generation which can scan data schemas while inferring relationships between data sources and tables.

A built- in code editor can be used by the data engineers to modify the generated models.

The list of tools we use in the data analytics process are quite many and learning all of them is something quite difficult.

Hence, what you should be aiming at is getting trained by the best institute in the country to ensure you get the best opportunities in the time to come.

For this purpose, you should enroll with Grras Solutionsdata analytics training course today.