Data warehousing and reporting
Data accuracy, loss, manipulation and the reliability of reported figures.
My experience developing data warehouses and analytics frameworks lets me trace data flows, examine the reliability of datasets and assess whether reporting outputs can be trusted.
I investigate questions of data accuracy, loss, manipulation or operational impact where data-driven decisions are challenged.
Questions I am asked to address
- Can the reported figures be relied on?
- Has data been lost, altered or incorrectly transformed between source and report?
- What did the data show at the time a disputed decision was made?
Example tools and platforms
- Databases
- Microsoft SQL Server and Azure SQL
- PostgreSQL
- MySQL
- SQLite
- Reporting and BI
- Power BI (including DAX modelling)
- Tableau
- Looker Studio
- Analytics and tracking
- Google Analytics 4
- Google Tag Manager, including server-side tagging
- Event and transaction tracking at scale
- Modelling
- R
- Python (pandas and scientific libraries)
- Forecasting, including cash-flow forecasting
- ERP and CRM data migration
Let's work together
Discuss an instruction
Send a short outline of the matter, the parties and any deadlines. I will run a conflict check and reply, usually within one working day.