Data must move between systems
Teams spend time copying source data into analytical tools, then moving transformed data and predictions back into operational systems.
Warehouse
Bring data from S3, SQL Server, MySQL, and PostgreSQL into one place. Build repeatable transformations and run data pipelines. Analyse the results in place, or write data and prediction scores back to another system.
Data challenges
Teams spend time copying source data into analytical tools, then moving transformed data and predictions back into operational systems.
Queries and stored procedures often change without a clear record of who changed them or which version ran.
Analysts often wait for data to move into a separate BI tool before they can check a result or find a problem.
How Exakt helps
Create one workflow from source data to a finished dataset, then write the result back to the systems that use it. Versioned queries and stored procedures make each run repeatable, while DuckDB supports recurring prediction work such as renewal scoring and customer lifetime value scoring.
SELECT * FROM lake.main.claims LIMIT 100;
| # | claim_id | policy_id | vehicle_id | incident_date | claim_type | status | incurred_amount | paid_amount |
|---|---|---|---|---|---|---|---|---|
| 1 | CLM-10482 | POL-82491 | VEH-39204 | 2026-09-27 | Collision | Open | £8,420.00 | £2,100.00 |
| 2 | CLM-10483 | POL-71138 | VEH-18462 | 2026-09-26 | Glass damage | Settled | £640.00 | £640.00 |
| 3 | CLM-10484 | POL-93720 | VEH-55013 | 2026-09-26 | Theft | Assessing | £24,900.00 | £0.00 |
| 4 | CLM-10485 | POL-62844 | VEH-77192 | 2026-09-25 | Weather | Open | £3,280.00 | £750.00 |