Filter by category to explore solutions across industries.
Trading Company · 8 Regions
Real-time sales analytics tracking revenue, margin, and rep performance across 8 regions with drill-through to SKU level. Replaced a 40-tab Excel workbook used by the sales director.
Manufacturing Plant · 3 Facilities
Overall Equipment Effectiveness (OEE) monitoring across 3 plants — tracking availability, performance, and quality in real time with automated downtime alerts.
Manufacturing · 5 Source Systems
Automated ETL pipeline consolidating inventory data from ERP, WMS, barcode scanners, and supplier portals into a single SQL Server data warehouse — updated every 15 minutes.
E-commerce Brand · 15K+ Customers
Full-funnel analytics covering acquisition, conversion, retention, and LTV — with cohort analysis, RFM segmentation, and channel attribution for a 15K-customer DTC brand.
E-commerce · FMCG
ML-powered demand forecasting model using historical sales, seasonality, and promotions data to predict demand across 200+ SKUs with 92% accuracy — integrated into Power BI.
Trading Company · CFO Dashboard
Executive-level financial dashboard with P&L analysis, cash flow monitoring, debtor/creditor aging, and budget vs. actuals — delivered as a daily-refresh CFO briefing pack.
Manufacturing · HQ + 3 Plants
Fully automated MIS reporting system delivering formatted daily, weekly, and monthly reports to 15+ stakeholders via email — replacing a 4-person manual reporting team.
Logistics · 120+ Vendors
Vendor performance scorecard and procurement analytics covering delivery SLA, quality rejection rates, and cost variance — across 120+ active vendors and 3 procurement teams.
Multi-sector · 500+ Employees
People analytics covering headcount, attrition, attendance, performance ratings, and department cost — with demographic breakdowns and trend analysis for HR leadership.
No projects in this category yet.
Check back soon or request a custom project.
A structured approach that delivers on time, on scope, and on budget.
Understand your business, data sources, KPIs, and success metrics.
Wireframe the solution and agree on data model, visuals, and timeline.
Develop the full solution — ETL, data model, reports — with UAT cycles.
Launch to production, train your team, and hand over documentation.