Data Science
Centient1 makes enterprise‑grade analytics and ML accessible for SMBs. We build the data foundation—clean sources, pipelines, and governance—then deliver dashboards, forecasting, and anomaly detection that teams actually use. The result: faster decisions, fewer manual steps, and AI‑ready data that powers assistants and automations.
What We Do
- Data foundation & governance: Inventory sources, standardize schemas, and set retention/access policies so data is reliable and auditable.
- Pipelines & modeling: Build ETL/ELT flows and features for descriptive, diagnostic, predictive, and prescriptive analytics.
- KPIs & reporting: Define metrics that matter, then ship dashboards that drive daily decisions in ops, finance, sales, and service.
- Forecasting & anomaly detection: Predict demand/churn and flag exceptions early to reduce risk and rework.
- AI readiness: Prepare data for custom AI assistants and AI‑assisted automations, so models perform accurately in real workflows.
- Platform context: Integrate insights into CRM/ERP and Microsoft 365 to ensure adoption and measurable outcomes.
Our Approach
Discover & align — clarify outcomes, constraints, and KPIs; assess current data and access patterns.
Design the data layer — model sources, define governance, and plan pipelines/feature sets for analytics and ML.
Build & validate — implement ETL/ELT, train/evaluate models, and test metrics against business targets.
Deliver insights — publish dashboards and alerts into the tools teams use (CRM/ERP/M365) so action happens in context.
Operate & improve — monitor data quality and model performance; iterate as processes change and scale.