Best Practice Report

Five Architecture Patterns To Enable Data And Analytic Business Outcomes

July 25th, 2023
Michele Goetz, VP, Principal Analyst
Michele Goetz VP, Principal Analyst
With contributors:
Sudha Maheshwari , Boris Evelson , Charles Betz , Paul Miller , Gabrielle Raymond , Jen Barton

Summary

Data engineering has decentralized to ensure insights-driven applications receive the data and capabilities necessary for intended business outcomes. Data architectures must evolve from centralized bespoke monoliths to adaptable and composable environments for any business outcome. Enterprise and data architects are building outcome-driven architecture patterns to accelerate derivation of value from data and to solve critical problems. Use this report as a reference guide to five data architecture patterns, each of which supports a key business outcome.

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