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Data Strategy Lifecycle

bkjohn2018bybkjohn2018
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Database Management

Architects and orchestrates enterprise data strategies from minimum viable data governance to mature Center of Excellence operating models.

The Data Strategy Lifecycle skill serves as a comprehensive strategic orchestrator for enterprise data management initiatives, grounding planning in DAMA-DMBOK concepts. It guides data leaders, enterprise architects, and executives through a structured 5-stage evolutionary path—progressing from Minimum Viable Data Governance (MVDG) launch and foundational builds to scaled standardizations, managed functions, and a dedicated Center of Excellence (CoE). Use this skill when drafting executive-ready strategy proposals, conducting maturity assessments, sequencing capability roadmaps across data domains, or planning continuous lifecycle refreshes.

Key Features

01Executive-ready templates for investment themes, business outcomes, and risk profiling
02Phased 5-stage roadmap planning from initial MVDG to mature CoE
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04Comprehensive scorecards tracking adoption, value realization, and maturity improvements
05DAMA-DMBOK framework alignment across all 11 core data capability areas
06Structured target operating model and decision rights governance design

Use Cases

01Creating an executive-level enterprise data management roadmap and investment business case
02Transitioning decentralized data teams into a coordinated Data Center of Excellence with clear operating cadence
03Establishing a Minimum Viable Data Governance (MVDG) baseline for rapid compliance and initial data quality wins