Section 1 - Instruction

A successful data practice is a loop: strategy guides where to focus, and governance ensures the data is reliable enough to act on. Without one, the other fails. A churn model (strategy) is useless if the data is wrong (governance).

Let's practice connecting these two critical areas.

Engagement Message

How does data quality currently limit your strategic goals?

Section 2 - Practice

Type

Sort Into Boxes

Practice Question

A key part of governance is identifying quality issues. Sort these problems into the correct dimension.

Labels

  • First Box Label: Accuracy Issue
  • Second Box Label: Timeliness Issue

First Box Items

  • Incorrect address
  • Wrong price listed
  • Misspelled name
  • Outdated status

Second Box Items

  • Sales data is a week old
  • Report is from last Q
  • Inventory not updated
  • Data arrives too late
Section 3 - Practice

Type

Swipe Left or Right

Practice Question

Let's distinguish between foundational work and strategic work. Swipe left for Data Governance tasks and right for Analytical Strategy tasks.

Labels

  • Left Label: Data Governance
  • Right Label: Analytical Strategy

Left Label Items

  • Creating a data dictionary
  • Fixing missing values in a table
  • Setting up data quality alerts
  • Documenting data lineage

Right Label Items

  • Building a customer churn model
  • Presenting insights to the CEO
  • Creating an analytics roadmap
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