Services
Ten ways in. One standard of close.
Audits and focused fixes. Power BI models and dashboards. SQL, ETL and source pipelines. Credit-risk controls. Pricing and profitability. Cross-source data quality. An enterprise reporting estate. Reverse engineering. AI output evaluation behind a human gate. A blueprint before anyone writes a measure.
01 · Focused fix
BI troubleshooting and audit
When a dashboard cannot be trusted, the work is not another visual. It is finding the break, reconciling the output, and leaving a model someone else can keep.
Audit · then the smallest useful repair
02 · Reporting
Power BI dashboards and models
Requirements to a model, to a report the floor will actually open — desktop and mobile — with training and handover.
Sprint to a decision-ready board
03 · Data
SQL / ETL, analytics backend
Analytics-ready models and pipelines: SQL Server, SSIS, Power Query. SAP, BW and Navision extracts, quality gates, and reconciliation before the dashboard exists.
Transformations that survive the next source change
04 · Definition
KPI and BI solution blueprint
A written path from business outcome to model to report. Acceptance criteria first. Assumptions explicit. The smallest useful cut, named.
Before anyone writes a measure
05 · Banking
Credit-risk controls and recon
Independent scoring and dataset validation, AML classification at volume, accounting reconciliation. Python and SAS controls. A grain you can recompute two ways.
Validate the book. Name the exception.
06 · The gate
AI output evaluation
Task specifications, objective rubrics and acceptance criteria. Line-by-line review of generated analysis and code. Unsupported claims labelled unverified. The agent does not replace the bench.
Rubric first. A person signs.
07 · Banking · CVM
Pricing and profitability analytics
Client data for segmentation, pricing and profitability. Python and SAS on large sets. Taxonomies and classification rules. Methodology the business can read. Two-path recon of the margin.
Segment. Price. Tie the margin.
08 · Insurance · risk data
Cross-source data quality
Consistency rules across sources. Incomplete and aberrant records named before reporting. Parameterised investigation applications. A quality gate in front of the dashboard.
Name the bad row. Then the book.
09 · Commercial operations
Enterprise reporting estate
MicroStrategy dossiers and Power BI Service on a keepable model. Recurring commercial KPIs. Guided navigation. Training. The client can run without me.
A chapter the floor opens every day
10 · Handover
Reverse engineering and method package
Someone left. The file stayed. Map the model, recover the requirements, write the ADR, put tests on the grain, train the next person.
Recover the logic. Write it down.
Not sure yet
Name the symptom first.
Start here
What is actually wrong?
Pick the closest symptom. We will name the service, not invent a platform.