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Category: knowledge

Mastering Data Sprawl: Strategies to Tame the Digital Deluge

June 27, 2024 marketing@xentity.com

Understanding Data Sprawl In today’s digital age, the volume of data being generated by businesses is growing at an unprecedented […]

data-discovery, data-science, knowledge, Thoughts

USGS Cloud Hosting Services Contract Awarded

March 28, 2024March 25, 2025 marketing@xentity.com

As subcontractor to Peraton, the team has secured Cloud Hosting Solutions (CHS) III contract for the the United States Geological Survey […]

cloud, data-discovery, data-science, data-supply-chain, data-visualization, disruptive-technology, earth-science, geospatial, high-performance-computing, innovation, knowledge, News, open-data, Our News, remote-sensing, solution-architecture, transformation

Tools and Tricks in Unhiding Data

September 22, 2021February 2, 2022 marketing@xentity.com

Top. Men. We all know what comes after that statement. The ark of the covenant is boarded up and wheeled […]

data-discovery, data-supply-chain, knowledge

Concepts of KID Part 1

May 19, 2021June 29, 2021 marketing@xentity.com

Part 1 – The Basics We’ve come to use a concept known as the ‘KID’ operating model quite a bit […]

knowledge

Using Portfolio Concepts to Deal With Changing Data Solutions

December 10, 2020June 29, 2021 marketing@xentity.com

How would you like it if your tools changed every two years? In 2018, the construction sector employed almost 11.2 […]

data-science, knowledge, Thoughts

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Older posts

Recent Posts

  • Navigating Automation and AI: Comparing RPA, iPaaS, Microservices, and Advanced AI Integration
  • Accelerating the Integration of Supply Chain Management Concepts into Data Science and Data Management
  • Place-Based and Geospatial Business Cases: Maximizing Impact Across Data Themes and Services
  • Integrating MIS Platforms: Key Trends in Enterprise Service Management
  • Mastering Data Sprawl: Strategies to Tame the Digital Deluge

Recent Posts

  • Navigating Automation and AI: Comparing RPA, iPaaS, Microservices, and Advanced AI Integration
  • Accelerating the Integration of Supply Chain Management Concepts into Data Science and Data Management
  • Place-Based and Geospatial Business Cases: Maximizing Impact Across Data Themes and Services
  • Integrating MIS Platforms: Key Trends in Enterprise Service Management
  • Mastering Data Sprawl: Strategies to Tame the Digital Deluge

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