Analytics dashboard

Business Intelligence & Analytics

From siloed data to a single source of truth with executive dashboards.

Client Overview

Industry: Retail | Region: East Africa | Size: 65 stores | Scope: 4 months

A regional retail chain with multiple data sources, struggling to consolidate sales, inventory, and marketing KPIs.

The Challenge

Data silos: POS, ERP, and marketing tools disconnected
Manual reporting: Weekly reports took 3–5 days to compile
Inconsistent KPIs: Different teams used different definitions
Low data trust: Leaders questioned report accuracy
Limited self-service: Analysts were bottlenecks for insights

Solution

We built a modern analytics foundation with governed KPIs:

Data warehouse: Centralized sales, inventory, and customer data
ETL pipelines: Automated nightly loads and data quality checks
Semantic layer: Standard KPI definitions and metrics catalog
Dashboards: Executive, store, and category performance views
Training: BI enablement for managers and analysts

Adoption focus: KPI scorecards embedded in weekly leadership reviews.

Results

60%

Faster Reporting

15%

Margin Improvement

4 hrs

KPI Refresh Time

92%

Data Accuracy Score

Technology Stack

PostgreSQL Airflow dbt Power BI Python Docker

Learnings & Best Practices

Metric governance: Agreed KPI definitions reduced disputes
Data quality gates: Automated checks improved trust
Self-service training: Reduced analyst backlog
Executive sponsorship: Weekly KPI cadence drove adoption

Client quote: "We now make decisions based on shared KPIs, not competing spreadsheets."

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