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Data Integration & Automation for Business Value
From Data to Decisions — The New Consulting Mandate
Intelligence • Strategy • Integration
Executive Summary
Data abundance ≠ value
Consulting imperative: Integrate → Automate → Apply AI → Measure outcomes

Data + Automation + AI = Value
The Modern Data Value Chain
Horizontal flow diagram:
Collect
APIs
Integrate
ETL
Automate
RPA
Analyze
AI
Act
Value
ROI
Architecture Blueprint
Layered pyramid graphic:
1️⃣ Data Sources
2️⃣ Integration Layer
3️⃣ Data Lakehouse
4️⃣ Automation Layer
5️⃣ AI/Analytics
6️⃣ Action Layer
Note: orchestration & governance layer overlays all
Automation in Practice
Table of 4 verticals (Ops, Finance, CX, Supply Chain) with results:
CDI Consulting Framework
5 phases wheel:
1️⃣ Discovery
Key deliverables
2️⃣ Strategy & Architecture
Key deliverables
3️⃣ Implementation
Key deliverables
4️⃣ Intelligence Enablement
Key deliverables
5️⃣ Value Realization
Key deliverables
Each with key deliverables
Governance & Security
  • Data lineage, RBAC, compliance (GDPR/CCPA/HIPAA)
  • Ethical AI & bias mitigation
Visual: layered lock-shield icon over data stream
KPIs & Metrics Dashboard
Technology Ecosystem
Logos / icons grid:
Integration
Talend, dbt, Kafka
Automation
Airflow, UiPath
Analytics
Snowflake, Databricks
Governance
Collibra
BI
Power BI, Tableau
Business Impact Showcases
Two mini-case snippets:

Manufacturing
Predictive Maintenance
30% less downtime

Retail
Customer 360 + Automation
12% sales uplift
"Data only becomes an asset when it is connected, automated, and acted upon."
Next Steps:
  • Schedule a Data-to-Value Assessment
  • Social links + QR code