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Category: data-discovery

The Various Roles Found in the Data Lifecycle

June 29, 2020January 31, 2024 marketing@xentity.com

The Various Roles That Act as Both a Checkpoint and a Helper Throughout the Lifecycle In data analysis and consulting, […]

data-discovery, data-science, data-visualization, 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

The Importance of Discovery in Metadata

September 23, 2019June 30, 2021 marketing@xentity.com

But…What Is Metadata? The point of metadata is to describe other data. It is literally the “data within the data”. […]

data-discovery

Interview With The University Of Denver Daniels College Of Business

May 30, 2019July 1, 2021 marketing@xentity.com

An Insight For Students Of Business The University of Denver (DU) Daniels College of Business recently created a video series […]

data-discovery, recognition

The Challenge of Perpetual Acceleration

June 1, 2018July 2, 2021 marketing@xentity.com

What Perpetual Acceleration Means to Geospatial Data In a recent article, “Why We Focus On Spatial Data Science”, we discussed, […]

big-data, data-discovery, data-science, data-supply-chain, disruptive-technology, geospatial, innovation, knowledge, semantic-web, Uncategorized

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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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