Decision Workspace

Data Platform Transformation

Single source of truth for this strategic initiative — objectives, risks, expert guidance and the path to a decision.

Confidence
94%
Status
Validated
Budget
$6.7M / 36mo
Target decision
Approved
Business objective

Consolidate 12 legacy data estates into a unified platform to cut pipeline latency by 60% and enable real-time analytics.

Decision summary

Data fragmentation across trading, research, and corporate systems is creating duplicate pipelines, inconsistent golden records, and AI-readiness gaps. This decision selects the unified data platform architecture, migration sequence, and vendor stack to consolidate 12 legacy estates.

Objectives
  • Consolidate 12 legacy data estates into unified lakehouse
  • Reduce pipeline latency from batch to near-real-time
  • Establish single golden record for commodities data
  • Enable self-service analytics for 400+ business users
Key risks
High
Migration complexity — 12 estates, 3 vendors
High
Business continuity during cutover
Medium
Skills gap in lakehouse engineering
Medium
Data residency & sovereignty requirements
Timeline
Jun 10
Decision opened
Jul 22
Architecture blueprint approved
Sep 05
POC complete — 2 pilot estates migrated
Oct 18
Vendor selection & negotiation
Nov 01
Board approval & contract award
Stakeholders
EV
Elena Voss
Chief Data Officer — Owner
MH
Marcus Hale
Head of Infrastructure
DC
Daniel Cho
VP Procurement
AP
Aisha Patel
Head of Engineering
Expert recommendations
HM
Dr. Hannah Mehta
Lead Analyst — Cybersecurity

"Wood Mackenzie's OT footprint and energy threat profile push the recommendation toward CrowdStrike Falcon Complete + Charlotte AI. Confirm Defender economics for non-trading endpoints."

JO
James Okafor
Principal Analyst — Enterprise Architecture

"Wood Mackenzie's OT footprint and energy threat profile push the recommendation toward CrowdStrike Falcon Complete + Charlotte AI. Confirm Defender economics for non-trading endpoints."

Linked intelligence
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