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Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Increase the impact of your people

For organizations who want to make better decisions faster, Tableau is the analytics platform that increases the impact of your people by allowing fast adoption at scale across all skill sets, by providing powerful analytics that drive business value, by providing the flexibility to leverage existing technology investments , and by providing a mission critical platform.



As a leader in analytic process automation (APA), Alteryx unifies analytics, data science and process automation in one, end-to-end platform to accelerate digital transformation and rapidly upskill the modern workforce. The Alteryx APA Platform™ provides hundreds of automation building blocks for data prep and blending, diagnostic and predictive analytics, autoML, and code-free data science.

How does it deliver actionable business insights?

The self-service platform requires no specialized skillsets and is designed to put automation in the hands of all data workers; it can automate analytics and data science pipelines, manage complex data-centric business processes and deliver actionable insights to stakeholders in every line of business. Thousands of organizations globally use Alteryx to deliver quick wins and high-impact business outcomes. For more information visit



Microsoft Power BI is a business intelligence platform that provides nontechnical business users with tools for aggregating, analyzing, visualizing and sharing data.

How does it help visualize data better?

Anything and everything you may need to speed up analytics is here – self-service, machine learning, streaming analytics, Excel integration and data connectors. It is a wall-to-wall analytics answer that comes with built-in AI capabilities, proven methods of data loss prevention, sturdy data security mechanisms, and sharp sensitivity classification.


Python language is suitable for almost any data science task, from data manipulation and automation to ad-hoc analysis and exploring datasets.

How does it help automate key areas?

Armed with this much-adored programming language tool we can do data analysis at a never-before seen speed and ease. With a slew of frameworks and choices, Python offers many libraries, application uses and protocols that lead the way to new-age, lean and fit business applications that leverage acute analytics.

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