Turning raw, chaotic data streams into clean pipelines and decision-ready interfaces
ETL, schema mapping, and warehouse migration, paired with the reporting layer your stakeholders actually look at.
From raw stream to decision-ready
Raw data is a liability until it’s a system. Clatani’s intelligence layer takes the feeds we build for you, or the ones you already have, and turns them into modeled, documented, decision-ready datasets, then builds the Power BI dashboards on top, so executives read answers instead of exports.
This is the stage most analytics projects stall at: the unglamorous transformation, validation, and dashboard-plumbing work that sits between a data source and a number someone will actually act on. It is the part we like doing, and the part we scope and price up front so it doesn’t quietly become an open-ended retainer.
Analysts spend most of their time wrangling, not analyzing
Study after study finds analysts and data scientists burning the bulk of their hours finding, cleaning, and reshaping data before a single insight is produced. Clatani’s intelligence layer exists to hand that time back, modeled, documented, decision-ready datasets from day one.
Intelligence, tuned by industry
The same pipeline discipline, shaped to the questions each sector actually asks.
Healthcare & Life Sciences
Unlock the value of fragmented health data.
Insurance & Risk Management
Predict risk and accelerate claims intelligence.
Financial Services & FinTech
Capitalize on alternative data and centralized pipelines.
What makes a number trustworthy
A dashboard is only as good as the definitions behind it. Four things that separate a report people use from one they quietly stop opening.