What it is
Data engineering and audit helps when your data sits in several systems and spreadsheets, comes in different formats and management reports do not agree with each other. First we audit your existing data sources and their quality. Then we cleanse and structure the historical data, build ETL pipelines that regularly combine it into a single structure, and prepare BI visualisations for management. As a result, financial, sales and operational figures are calculated from one source using one set of rules. The audit results also help you decide which data is worth keeping and which is better replaced.
What you get
- A clear view of your data: an audit report on duplicates, missing fields and contradictions between systems.
- A single data source: an analysis-ready structure that combines data from all relevant sources.
- Automated refresh: ETL pipelines update the data regularly, with no manual merging of spreadsheets.
- Reports you can trust: BI dashboards with a clear definition for every metric.
How we work
- Data audit: we identify the sources, assess data quality and agree on priorities.
- Model design: we define a unified data structure and the rules for calculating each metric.
- Cleansing and ETL: we put the historical data in order and build automated loading pipelines.
- Visualisation and handover: we build the BI dashboards, train users and document the data flows.