Make your developers more productive with Data Automation

Building data infrastructure with a small team

WhereScape Data Warehouse Automation enables small data teams to build and manage complex data infrastructure. It allows your developers to be many times more productive by using automated workflows, a code generator and best practice templates.

It is time for automation:

  • Get from requirements into production in a matter of days
  • Generate thousands of lines of native code in seconds rather than writing every line by hand
  • Automatically document the entire process at the click of a button
  • Fix bugs in a couple of hours
  • Track the code through the whole process via an abstracted GUI

With traditional waterfall methodologies, a new data solution took months to build, with various specialized teams handing over code to the next. WhereScape allows a small team to complete all the stages from design to production, management, and bug fixing within the same tool. Now solutions can be built in weeks and days rather than months and years, using large teams.

These gains in speed are life-changing for smaller data teams who have been working under the traditional methodology, and this actually changes working lives, not just project completion dates.

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“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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