About Us

Datasturdy Consulting

We at DataSturdy Consulting act as a trusted advisor to customers maximizing their IT investments with 100% adaptation of technologies in an optimized and best in-class usage experience. With high sensitivity of cost, we consult customers to achieve more out of less. We comprise of professionals with extensive knowledge on Data Platform, Database Modernization, DWH/BI Analytics Modernization, Application Modernization and Business Application Development, for more than two decades working across industries. Excellent understanding of IT Solutions, and business processes in various industry verticals like IT/ITES, Telecom, Government, BFSI, Retail, Unicorn, Manufacturing and Health Care. Decisive ability to initiate and architect complex heterogeneous IT solutions for large and strategic customers leading to customer success, demonstrating bottom line performance.


We bring the right people together to challenge established thinking and drive transformation.

Let the numbers speak!

10+

Customers aquired in one year

1100+

Professionals Trained Successfully

250+

Trained Professionals Cleared Certification

5+

Countries where we have clients.

 

Why Datasturdy ?

  • Niche Software Development experience with quality delivery
  • Non-bias and neutral software consulting with customer centricity
  • Platform agnostic solution consulting with best-in-breed and best-in-class solution approach
  • In-depth understanding of Database Licensing leading to cost optimization
  • Decades of Industry knowledge providing Application Development, Data Platform and Analytics best practices

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    Blogs

    Read our views on the things that matter to you most we make the difference.

    February 6, 2025

    DeepSeek: The Rise of China’s AI Powerhouse

    In a world where AI is advancing at lightning speed, a new player is emerging […]
    January 9, 2025

    The Impact of Filter Context on Power BI Performance

    Filter context is one of the most important concepts in Power BI, shaping how data […]
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