Product Demo: Be 8 to 10 Times as Productive in Implementing Your Data Warehouse

Struggling with delays and budget overruns in your data projects?

Data warehouses, vaults, lakes, and marts often take longer than planned. What if you could accelerate progress?

See the transformation on demand. Watch our demo to discover how WhereScape customers achieve 8-10x productivity gains, turning years of work into weeks.

Why Watch?

  • Reduce hand-coding by 95% – Focus on strategy, not scripting.
  • Achieve near-zero errors – Build with confidence.
  • Minimize rework – Get it right the first time.
  • Automate documentation – Instant updates, zero hassle.

Revolutionize your data lifecycle with automation. Watch now.

Learn more about our unique data productivity capabilities for these leading platforms

Deploy on Microsoft Azure and integrate with Microsoft applications.

Seamlessly work with Amazon Web Services (AWS).

Leverage a complete range of Google infrastructure and data solutions.

Ingest data from multiple sources and deliver more business insights.

DataBricks

Deliver a wider variety of real-time data for Al, ML and data science.

“It took the architects a day and a half to solve all four use cases. They built two Data Vaults on the host application data, linked the two applications together and documented the whole process. This was impressive by any standard. After that it was an easy process to get all the documents signed.”

Daniel Seymore, Head of BI, Investec South Africa

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"At seven months into the project we can say it really worked out. We have been able to really quickly develop an initial MVP for our first country and that was really good. The automation and the changes we needed to do were rapidly applied. We had to remodel a few things and that was done within a day with the automation in WhereScape."

Carsten Griefnow, Senior BI Manager

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"It’s like having five people with only really two people working on it."

Will Mealing, Head of Data & Analytics at L&G

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VIDEO

Product Demo: Be 8 to 10 Times as Productive in Implementing Your Data Warehouse

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