Working with Data...Was KES 12,500
powerbi

Customer Segmentation Report

Use RFM analysis to segment customers and build a churn-risk dashboard with cohort analysis.

3

deliverables

4

rubric areas

Advanced

level

7-9 hrs

time

Live surface

Learner workspace

Project briefs, mentor feedback, and proof artifacts are always visible.

Next action

Build, submit, review

Every page gives the user a clear next step without extra narration.

Today

Mentor review queue

12 pending

Submissions

28

Healthy

21

At risk

3

Duka SmartKenyan Market

What you learn

Build segmentation logic that supports targeted retention decisions.

Deliverables

RFM modelChurn dashboardRetention action list

Scoring rubric

Segmentation logicDAX depthCohort clarityActionability

Skills practiced

Complex DAXRFM modellingCohort analysisWhat-if parameters

Mentors review the submission for technical accuracy, business reasoning, and manager-ready communication.

How submissions are judged

Data source: Synthetic CRM dataset
Accuracy of the analysis and any calculations.
Whether the recommendation is specific and useful.
How clearly the learner explains the decision.
Whether the output feels ready for a hiring manager.

Score bands

90-100: portfolio-ready
75-89: strong with revisions
60-74: needs coaching

Submit

Send your work for review.

Submit a shareable artifact link so a mentor can review your workbook, dashboard, notebook, or written recommendation.

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Related proof

Strong submissions surface here

These cards show what the finished work should feel like once the project has been scored.

Product Growth Funnel Analysis

Alice Mwangi

93%

A funnel readout with cohort breakdowns and a practical activation experiment.

See showcase

SME Collections Priority Model

Kevin M.

90%

A prioritized collections list with risk bands and expected cash recovery.

See showcase

Customer Support Quality Scorecard

Naomi A.

88%

A support dashboard that connects response time, quality, and coaching actions.

See showcase