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2 — Predict First & Build the Data Asset Inventory

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Predict first

Write your answers before detailed analysis. The purpose is to expose your current mental model.

  1. Which three Meridian data domains do you expect to create the most enterprise value? Why?
  2. Which three do you expect to create the greatest enterprise risk if poorly managed? Why?
  3. Which Meridian problem looks most technical at first glance but is actually broader than technology?
  4. If Elena Park can fund only two Data Management initiatives this quarter, what would you choose now?
  5. What evidence would make you change those priorities?

Do not fix yet. Preserve these predictions so you can compare them with your later evidence.

Lab A — Build Meridian's Data Asset Inventory

Select at least six assets/domains. Include Customer, Product, and Order, then choose at least three more.

For each asset record:

Field What to capture
Asset / domain Business concept, not merely a table name
Business process What creates/uses it
Key systems Where the concept is represented
Primary consumers Who depends on it
Value if well managed Operational, analytical, customer, compliance, or other value
Risk if poorly managed Quality, access, misuse, inconsistency, loss, bad decisions, etc.
Metadata/context needed Definition, identifiers, source, owner, allowed use, grain, timestamps, etc.
Criticality High / Medium / Low with a reason

Starting context

Customer
Processes: Browse-to-Order; Campaign-to-Engagement; Customer-Issue-to-Resolution
Systems: WEB / CRM / POS / SERV
Consumers: Sales, Service, Marketing, Finance
Metadata/context examples: definition, identifiers, source, owner, allowed uses

Product
Processes: Product-to-Sellable-SKU; Order-to-Fulfillment
Systems: PIM / WEB / OMS / DWH
Consumers: Merchandising, Sales, Fulfillment, BI
Metadata/context examples: SKU meaning, category, lifecycle status, source/owner

Order
Processes: Browse-to-Order; Order-to-Fulfillment
Systems: WEB / OMS / DWH
Consumers: Operations, Finance, Service, BI
Metadata/context examples: grain, status meaning, timestamps, source rules

Decision questions

After completing the inventory, answer:

  • Which assets are enterprise assets rather than merely “owned by one application”?
  • Where does the same business concept have multiple representations?
  • Which assets would be hardest to replace if lost?
  • Which assets are easy to copy/share and therefore create control or privacy/security risk?
  • Which assets cannot be interpreted correctly without stronger Metadata?

Evidence

Save as CH01-A — Meridian Data Asset Inventory and preserve enough reasoning that another person can understand why you classified each asset the way you did.