Case Study: DataStax achieves faster M&A planning and improved efficiency with Workday Adaptive Planning

A Workday Adaptive Planning Case Study

Preview of the DataStax Case Study

Smart savings AI tech leader saves time and resources on M&A.

DataStax, an AI tech leader, needed a better way to support growth, M&A planning, and forecasting without relying on spreadsheets. As the company expanded, it wanted to save time, improve transparency, and enable faster, more accurate decision-making with a planning tool like Workday Adaptive Planning.

With Workday Adaptive Planning, DataStax moved its OPEX planning and revenue modeling into a more flexible, real-time system. The solution let employees build scenarios, create hiring plans, and assess future resource needs, helping generate stakeholder reports in hours instead of days, reduce accounting errors, and improve data accuracy and operational efficiency.


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DataStax

Arnulfo Sanchez

Chief Accounting Officer


Workday Adaptive Planning

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