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Category: Thoughts

5 Times “Star Wars” Leveraged Data Concepts

May 27, 2020June 29, 2021 marketing@xentity.com

Happy Star Wars Month!  It’s May, which makes it Star Wars Month. May the 4th be with you readers. At […]

big-data, cloud, data-science, geospatial, Thoughts
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What The IMIA’s Subjects Means For the Industry In 2020 And Beyond

February 27, 2020June 29, 2021 marketing@xentity.com

The IMIA’s Mapping Leaders Forum Last January in 2019, a few members of Xentity had the privilege of participating in […]

Development, innovation, News, next-generation, open-data, Thoughts

Quick Thoughts On CDOT Unlocking Their “Data Potential”

January 28, 2020June 29, 2021 marketing@xentity.com

The Colorado Department of Transportation (CDOT) and Esri have been working together recently to unlock CDOT’s “data’s potential.” A recent […]

data-discovery, data-science, Thoughts

To Be a Data Scientist You Need to Be a Data Engineer First

December 30, 2019June 30, 2021 marketing@xentity.com

In the data industry, there are many positions that require an expertise in data methodology in order to be successful. […]

data-science, Thoughts

How Integrating Data Pipelines Improves Redundancies in Work Activities

December 5, 2019June 30, 2021 marketing@xentity.com

Integrating Data Streams To Reduce Redundancy At Work In our previous blog, we discussed data pipelines and how they improve […]

data-science, data-supply-chain, Thoughts

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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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