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Data and analytics leaders can trust

Reports that disagree, numbers rebuilt by hand every month and data scattered across tools mean decisions are made on instinct. We bring your data together, clean it and turn it into dashboards and reporting that answer the questions you actually ask, and give AI something reliable to work with.

One version of the numbers, reports that build themselves, and data ready for AI.

The problem

Every system has its own report, none of them agree, and someone spends the first week of each month stitching them together in a spreadsheet. By the time the numbers arrive they are out of date, and nobody is sure which version is right. The same gap blocks AI: models are only as useful as the data they can reach.

What we deliver

  • Data pipelines that pull from your CRM, finance, store and operations tools automatically
  • A single reporting database with clear definitions for every metric
  • Dashboards for leadership, sales and operations, refreshed without manual work
  • Data cleaning and migration when systems are replaced or merged
  • AI-ready data: structured, documented and access-controlled for assistants and agents

How we work

We start with the decisions, not the data: which questions leaders need answered each week, and what they do with the answer. Then we trace each figure to its source, agree a definition, and build the pipeline and dashboard for the most important ones first.

Who it is for

Owners and leadership teams running the business on monthly spreadsheets, multi-site operators comparing locations, and companies preparing their data for AI.

Capabilities

What this covers

Data pipelines

Automatic, monitored feeds from the tools you already use.

  • ETL
  • APIs

Single source of truth

One reporting database with agreed metric definitions.

  • MySQL
  • PostgreSQL

Dashboards

Leadership, sales and operations reporting that refreshes itself.

  • Looker Studio
  • Power BI

Data quality

Cleaning, de-duplication and validation rules.

  • Cleansing
  • Validation

Migration

Data moved safely when systems are replaced or merged.

  • Mapping
  • Reconciliation

AI-ready data

Structured, documented and permissioned for AI use.

  • Embeddings
  • Access control
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Questions

Frequently asked questions

Do we need a data warehouse?

Not always. Many businesses need one well-designed reporting database fed automatically from their tools. We recommend a warehouse only when volume or complexity justifies it.

Which dashboard tools do you use?

Looker Studio, Power BI or a custom dashboard inside your own software, depending on who uses it and what you already pay for.

How does this help with AI?

AI assistants and agents need clean, structured, permissioned data. The same pipelines that power your reports give AI a reliable source to work from.

Next step

Tell us what you need to ship.

A 30-minute call with a senior lead. You leave with a clear scope, a realistic timeline and a fixed price, whether or not you work with us.