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Category: enterprise-architecture

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

How To Reduce Time While Increasing Impact – Complex Project Analysis

October 16, 2014July 14, 2021 marketing@xentity.com

The Problem Business Leaders…you are being asked to lead your organization to become more flexible, drive down cost, reduce cycle […]

change-agents, enterprise-architecture

Is Federal Enterprise Architecture Dead As We Know It? Yes

May 8, 2014July 15, 2021 marketing@xentity.com

Is It? In short, yes. And it was not a humane end, because it honestly lived on for way too […]

enterprise-architecture

FSAM Replacement – Collaborative Planning Methodology (CPM)

May 7, 2014July 15, 2021 marketing@xentity.com

Before we begin, a quick walkthrough on the two major terms used here. The Collaborative Planning Methodology (CPM) is a […]

enterprise-architecture, mbt, next-generation, portfolio-management, transformation

GAO 4th Annual Report Cites Enterprise Architecture, Geospatial, And Coordinating Research Among Ways To Help Reduce Duplication – Fragmentation – Overlap

April 10, 2014July 16, 2021 marketing@xentity.com

The Government Accountability Office (GAO) released its 2014 Annual Report identifying 11 new areas of fragmentation, overlap, and duplication in federal […]

enterprise-architecture, portfolio-management

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  • Beyond the Map: Charting the Future with Geospatial AI
  • Navigating Automation and AI: Comparing RPA, iPaaS, Microservices, and Advanced AI Integration
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Recent Posts

  • From Months to Momentum: Xentity’s AI-Driven Strategy for Faster Data Program Transformation
  • Beyond the Map: Charting the Future with Geospatial AI
  • 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

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