Metrics Visualization Studio

A six-week studio for analysts, PMOs, and product leads who need a Data Visualization and Analytics Platform for Digital Transformation Metrics that executives trust.

Close-up of charts and graphs on paper

Learning outcomes

  • Write metric contracts that survive reorgs and vendor changes
  • Compose an overview → drill → exception visual hierarchy
  • Separate adoption, reliability, and outcome families without clutter
  • Deliver a ten-minute steering narrative backed by your scorecard

Informational pricing

RM 4,920 / learner

Included in Scorecard Lab. Team seats available via Transformation Atlas. No payment is processed on this website.

Modules

  1. Week 1 — Initiative archaeology

    Inventory programs, owners, and conflicting definitions. Produce a one-page signal map draft.

  2. Week 2 — Baseline honesty

    Establish pre-change measurements and document gaps instead of inventing zeros.

  3. Week 3 — Metric families

    Cluster adoption, reliability, and outcomes; retire vanity traffic from the primary view.

  4. Week 4 — Visual hierarchy lab

    Build overview, drill, and exception strips in your preferred BI tool.

  5. Week 5 — Narrative pack

    Translate the scorecard into a steering script with annotated screenshots.

  6. Week 6 — Live critique

    Present to a mock panel. Revise based on objections about clarity and fairness.

Instructor

Portrait of instructor Aisha Rahman

Aisha Rahman

Former analytics lead for a Southeast Asian digital bank. Aisha now coaches PMOs on scorecard design from DataSignal Tools’ Petaling Jaya studio. She focuses on metric contracts and visual restraint over chart novelty.

Learners on this course

“Week 4 forced us to delete half our tiles. The remaining adoption funnel view is the only chart our COO asks for by name.”
Ravi S. · Product analytics · Cyberjaya
Strong on visualization critique. Weaker if you hoped for deep data-engineering pipelines — that is intentionally out of scope.
Anonymous · client in telecom

FAQ

Which tools do you teach?

Concepts transfer across Power BI, Tableau, Looker Studio, and similar platforms. Labs accept exports from the stack you already use.

Do I need SQL?

Basic joins help in week three. We provide prep exercises, but this is not a SQL bootcamp.

What is a real limitation of this course?

We do not implement production data pipelines or guarantee executive buy-in. If your organization refuses to agree on definitions, a polished scorecard will not resolve that politics — we only make the disagreement visible earlier.

Are sessions live in Malaysia time?

Yes. Cohorts schedule evening labs in MYT, with recordings for missed weeks.