Jul 1, 2024
Polymath
Polymath automated their entire data pipeline and reporting infrastructure, quadrupling analyst capacity while reducing errors by 96% and delivering insights 2 weeks faster.
Polymath's analysts spent 70% of their time on manual data work: extracting data from client systems, cleaning and transforming datasets, running analyses, and formatting reports.
Each client required custom data pipelines and reporting templates. With 40 clients, the team of 85 analysts was at capacity, and data pipeline errors caused frequent report delays. Manual work meant analysts spent only 30% of their time on actual analysis and client strategy. Scaling to more clients required proportional hiring, which wasn't sustainable given market demand. Every Monday morning started with analysts logging into dozens of different client systems to manually export data. They spent hours cleaning datasets, fixing formatting issues, and reconciling inconsistencies between data sources. Each client had different KPIs, metrics definitions, and reporting preferences that required custom handling. Analysts built reports in Excel and PowerPoint, copying charts and updating numbers manually each month. When data didn't match expectations, they had to trace back through their process to find the error. The work was tedious, error-prone, and prevented analysts from doing the strategic thinking clients were actually paying for. Junior analysts quit after six months because they didn't sign up to be data janitors.
KYMA built a fully automated data pipeline and reporting platform.
The system automatically extracts data from client systems on scheduled intervals, applies client-specific transformation rules, and runs analyses using pre-built algorithms. AI-powered data validation catches anomalies before they reach reports. Automated report generation creates client dashboards and insights documents using approved templates, with smart commentary generated based on data trends. Analysts receive alerts only when data anomalies require human judgment. What used to take 3 weeks of manual work now happens automatically overnight, with analysts spending their time on strategic insights and client consultation.
