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Category: governance

Top 10 Differences in our Data Program Consulting Engagements

July 12, 2020February 4, 2022 wiki@xentity.com

Why Xentity where others have failed? It is a common question. What can a smaller firm do for me where […]

architecture, brain-drain, change-agents, disruptive-technology, enterprise-architecture, geospatial, governance, innovation, it-performance, mbt, next-generation, portfolio-management, solution-architecture, transformation

Wish you had a Chief Data Office (CDO) Services Toolkit

July 7, 2017July 6, 2021 marketing@xentity.com

Government Large Data Program next generation solutions require high data integration to achieve its goals. There are current major investments […]

architecture, governance, transformation

Our Change Services Concepts

January 22, 2016July 9, 2021 marketing@xentity.com

Our Concepts And Approach Starts With The Executive Sponsor Xentity’s approach to technology project design and execution enables us and […]

architecture, change-agents, disruptive-technology, governance

How Understanding Complexity May Help You Change The Game

May 7, 2015July 13, 2021 Matt Tricomi

In Data And IT, There Are Various Levels And Classes Of Complexity Which Our Design Methods Need To Adapt To […]

agile, architecture, change-agents, disruptive-technology, enterprise-architecture, governance, innovation, next-generation, portfolio-management, solution-architecture

Flipping The Educational Value Chain

January 3, 2014July 20, 2021 marketing@xentity.com

The article “In 2014 Every Business will be Disrupted by Open Technology” raised some very key points on some key […]

architecture, brain-drain, disruptive-technology, governance, transformation

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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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