Forrester Report: Data Warehouse Automation for Agile Business Intelligence

Agile Business Intelligence

Agile business intelligence (BI) platforms only partially support the iterative development of BI applications. Parts of the process, like data integration and modeling, still follow a less flexible waterfall development life cycle. In this report, AD&D pros can learn about a landscape of vendors that bring Agile options to all phases of BI application development. These data warehouse automation (DWA) platforms facilitate shorter, more iterative development cycles, foster collaboration between the business and technology management, and require fewer expensive human resources with specialized data modeling skills.

Data Warehouse Automation

Agile BI Requires More Than Just Agile Dashboards

True agility means prototyping data models (not just dashboards and reports) quickly so business users can continuously iterate on it. AD&D pros working on BI initiatives should consider adding DWA platforms to their BI toolbox.

DWA Enables BI Self-Service

DWA is not a data warehouse appliance, nor data-warehouse-as-a-service (DWaaS) — it’s software that automatically generates a data warehouse by analyzing the data itself and applying best practices for DW design embedded in the technology. Another name for this type of technology is “metadata-generated analytics.”

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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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EBOOK

How PyD Revolutionized Their ERP System with WhereScape Data Automation

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WHITEPAPER

Complimentary Gartner®: How are Organizations Overcoming Issues to Start Their Data Fabric or Mesh?

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ON-DEMAND WEBINAR

Webcast: Capitalizing on 2024 Data Analytic Predictions by Focusing on Cross-functional Value of Automation

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VIDEO

Interview: AVP of Enterprise Architecture about Data Automation at Genesee & Wyoming Inc

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