BACK TO ARTICLES
Practical Guides

The Chief Data Officer Operating Plan: Asset Auditing, Chargeback Models and Governance

The Chief Data Officer Operating Plan: Asset Auditing, Chargeback Models and Governance
Datta Sable
Datta Sable
BI & Analytics Expert

The 90-Day CDO Execution Roadmap

Incoming data executives face dual pressures: demonstrating immediate business value while addressing years of accumulated technical debt, fragmented data silos, and spiraling cloud compute costs. The CDO operating plan provides a structured sequence for establishing credibility and governance:

  • Days 1–30 (Discovery & Audit): Inventory all data assets, active SaaS subscriptions, cloud compute capacity (Fabric, Snowflake, Azure), and report usage. Identify and decommission zombie workspaces that have had zero active viewers in the preceding 90 days.
  • Days 31–60 (Alignment & Quick Wins): Meet with business unit heads to define top 3 revenue-impacting decision metrics. Deliver one high-visibility, certified executive dashboard with verifiable ROI.
  • Days 61–90 (Operating Model & Chargebacks): Publish the enterprise data governance charter, implement automated capacity chargebacks, and establish data quality SLAs.

Capacity Chargeback and Allocation Math

When multiple business departments share a centralized Microsoft Fabric capacity (e.g., an F64 or F128 reservation), central IT must avoid subsidizing inefficient department queries. Chargeback models allocate monthly capacity invoices based on verified Compute Unit (CU) consumption seconds tracked by the Fabric Capacity Metrics App:

Department_Charge = (Dept_CU_Seconds / Total_Capacity_CU_Seconds) * Total_Monthly_Invoice

If Marketing consumes 1,200,000 CU seconds out of 6,000,000 total CU seconds on an F64 capacity costing 5,000 per month, their allocated chargeback is (1.2M / 6.0M) * 5,000 = 1,000. This transparency incentivizes department developers to optimize slow DAX measures and prune unnecessary data refreshes.

Primary references

Datta Sable
Author

Datta Sable

Senior BI Developer & Data Architect with over 10 years of experience in engineering high-fidelity analytics systems. Specialized in Tableau, Power BI, SQL, and Python-driven automation for enterprise-grade decision clarity.