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Category: staffing

What Are Various Architecture Staffing Models

April 10, 2013August 3, 2021 marketing@xentity.com

Various Architecture Staffing Models Choosing an Architect workforce model that addresses your particular needs is a critical step in development […]

brain-drain, staffing

How Xentity Finds Top Talent

March 25, 2012August 5, 2021 marketing@xentity.com

Xentity has a knack for presenting and vetting top-talent for clients across the globe. A great amount of the credit […]

staffing

We Can Approach Architecture For Other Implementers

January 12, 2011August 5, 2021 marketing@xentity.com

A large majority of consulting companies struggle with the design and implementation phases of their projects. This is mainly due […]

architecture, brain-drain, enterprise-architecture, project-management, staffing

Blending A Distributed Transformation Team

November 10, 2010August 6, 2021 marketing@xentity.com

A common question from agencies, partners, and candidates is “Why would a transformation and management consulting firm providing data services […]

architecture, project-management, risk-management, staffing, transformation

Supporting Commercial Small Business Clients

April 28, 2007August 11, 2021 marketing@xentity.com

Regarding business practices, commercial Small businesses often need as much advice on proper practices than large businesses. Here at Xentity […]

staffing

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Newer 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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