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Data
systems.

Analytics, reporting and automation designed to make operational information dependable and actionable.

Good analysis begins long before the dashboard.
01 · Context

The challenge

Operational reporting frequently begins with fragmented source data, manual preparation and business rules that exist only in people’s memory.

02 · Approach

Connect logic, quality and presentation

I connect source logic, quality controls, transformation and presentation so that the final dashboard or report is supported by a transparent system.

Data qualityRules, validation and consistent definitions close to the source.
AutomationRepeatable workflows that reduce manual preparation.
AnalyticsFocused measures built around operational decisions.
DocumentationBusiness logic made explicit and maintainable.
03 · Technology

A stack built around the source

Typical work combines database logic, Python-based transformation and business-intelligence tools. The exact choice depends on the source, delivery environment and people using the output.

SAP HANASQLSQLPythonpandasPower BITableauExcel