Gartner Research

Organizing Your Teams for Modern Data and Analytics Deployment

Published: 20 March 2017

ID: G00280461

Analyst(s): Mark Beyer

Summary

Advanced analytics, modern business analytics and related data management supporting the digital business demands that data and analytics leaders recognize a new symbiosis across the infrastructure, the organization and approach.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • The emergence of data science and self-service or "citizen" users is driving data and analytics leaders to seek more diverse solutions for infrastructure design and implementation
  • A diverse spectrum of analytics use cases often results in conflicts between differing infrastructure options, which forces earlier consideration of broad SLAs
  • A new "symbiotic" relationship between advanced users and enterprise solution architects is steering data and analytics leaders toward a fresh organizational structure
    • Step One: Replace the BICC With an ACE
    • Step Two: Align User Service-Level Expectations to Infrastructure Capability
    • Step Three: Evolve the Data Science Laboratory
    • Step Four: Establish the "Pivot" Responsibility for Data Engineers/Miners
    • Step Five: Deploy Parallel Delivery Teams and Approaches

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