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Data and analytics consulting

Data systems built around how your business actually works.

Connect your sources, repair unreliable reporting, and automate recurring analysis with systems your team can maintain.

Discuss a projectSee the work

Working with your stack

  • Power BI
  • Microsoft Fabric
  • Snowflake
  • SQL
  • Python
  • APIs & existing systems

Start with the problem

What needs to work better?

A useful first project starts with the work that is slow, fragile, or repeated.

Our reports are slow or unreliable.

Fix refresh failures, conflicting measures, and fragile models so the reports your team relies on work consistently.

Explore reporting rescue

Reporting takes too much manual work.

Connect source data, calculations, and checks to reduce repeated exports, reconciliation, and report preparation.

Explore reporting automation

Our data is scattered across systems.

Bring sources and shared definitions together so teams can trace the numbers and work from a consistent view.

Build a trusted data foundation
Explore all data services

Selected work

From reporting problems to working systems.

Anonymized accounts of the engineering work: the problem, what changed, and the capability it created.

Anonymized systems work · Operational reporting

Make recurring reporting dependable.

The problem
Definitions, reporting logic, and source knowledge were spread across systems and teams.
What changed
Connected data models and shared measures with validation, refresh routines, and visible exception handling.
The result
A more maintainable reporting path with clearer definitions and ownership.
Read the reporting account

Anonymized systems work · Financial reporting

Keep every number connected to its source.

The problem
Recurring review depended on assembling numeric data, calculation logic, and supporting context from several sources.
What changed
Organized source records, transformations, assumptions, and commentary into a reporting process that could be reviewed and maintained.
The result
A clearer information model with less dependence on manual assembly.
Read the systems account
View all representative work

A clear starting point

Choose the first useful engagement.

Defined scope, published investment guidance, and concrete deliverables. Each engagement starts with the system and outcome in front of you.

Two weeks · $12K to $18K

Data and Analytics Diagnostic

Establish what is working, what is fragile, and the first useful boundary for a data and analytics investment.View the engagement

Six to ten weeks · $45K to $100K

Reporting and BI Rescue Consulting

Stabilize fragile reporting without assuming that every report, model, or platform must be replaced.View the engagement

Eight to twelve weeks · $75K to $150K

Operational Performance Foundation

Create a governed path from agreed operating sources to shared measures, exceptions, and recurring review.View the engagement
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Delivery

Working increments. Clear ownership.

Build around your existing platforms and constraints, with checks and handoff built into the work.

Find the constraint

Trace the decision, sources, and recurring work with the people who know the system.

Agree the first outcome

Define the scope, owners, and evidence that will show the work is ready.

Build and verify

Review working increments and test calculations, access, refresh, and failure handling.

Hand over a usable system

Release with documentation, monitoring, and a clear plan for maintenance.

Explore platform capabilitiesHow we engage