DataForge — Data analytics consultancy platform with Power BI dashboards
A data analytics consultancy site featuring interactive Power BI dashboards for customer retention, sales performance, and financial reporting.
Client: Sample project (Built on public data)
Visit live project (data-forge-liart.vercel.app/)DataForge dashboard preview (upload approved screenshot to /public/work/dataforge/preview.png)
01
The business problem
Growing companies frequently run operations across siloed spreadsheets and disconnected platforms. Commercial reviews stall because numbers disagree, and executive teams spend days compiling data rather than acting on it.
02
The challenge
Visualizations must serve concrete decisions rather than vanity graphics. The platform needed to demonstrate how raw operational data translates into governed semantic models and clear executive interventions.
03
What we built
Developed a modern web platform showcasing consultative analytics workflows and Power BI report models covering customer churn, B2B sales performance, and multi-entity financial consolidation.
04
How it works
- 01Executive overview cards summarize high-level KPIs and risk metrics.
- 02Drill-down views enable deep diagnostic inspection by segment, region, or product.
- 03DAX calculations and Power Query transformations clean and align source data.
- 04Case study walkthroughs demonstrate how analytical findings lead to specific operational interventions.
05
Notable decisions
- Built using React and modern component styling, showcasing embedded Power BI report structures.
- Semantic models structured for auditability and consistent calculation definitions.
- Demonstrates consultancy methodologies for data preparation, modeling, and presentation.
06
Where it stands
- Live sample project deployed at data-forge-liart.vercel.app.
- Demonstrates analytics capability using sample/public datasets.
- Figures on the demo site (e.g. churn account counts, cycle reductions) are illustrative sample data and not claimed as verified client outcomes.
07
What we'd do differently / next
- For a production enterprise deployment: integrate direct database connectors with automated scheduled refresh and organizational row-level security.
08
Outcome
Sample project built on public/sample data to demonstrate analytics architecture and dashboard design. Figures shown on demonstration dashboards reflect sample scenario data.
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