ENROLLMENT INFORMATION

OBJECTIVES

Decision-Driven Analytics

• Apply the Three-Question Test to decide whether a measure belongs in a KPI dictionary.
• Construct a seven-field KPI dictionary entry in which the decision is defined before the formula.
• Classify a KPI as leading or lagging, and define its action trigger and stopping condition.
• Write a governance note that names accountable ownership, review cadence, change process, and escalation by role.
• Write a fit-for-use statement that names what the measure is designed to support, at least one use it should never serve, and the data-quality conditions that must hold for it to be trustworthy.

Signal vs. Noise

• Perform exploratory data analysis and document auditable data-cleaning decisions without hiding real performance variation.
• Characterize a process using center, spread, and shape with a histogram and summary statistics.
• Construct and read a Process Behavior Chart to distinguish routine, common-cause variation from a sustained shift, a gradual trend, or an isolated special cause.
• Determine, for any scenario, whether the process is stable and capable, and recommend a fitting response.

Storytelling with Data

• Run the audience-first design questions before building a deck.
• Write a single Big Idea sentence that states what the data means and the action it should drive.
• Construct a five-slide data story using the Context, Insight, So What, Now What, Supporting Evidence approach.

INSTRUCTOR - Anthony (Tony) Orzechowski