Solutions

Analytics & Business Intelligence

Get the right numbers to the right people, at the right time, with one shared definition. BigAI builds the certified metric layer and opens self-service to business users.

Signals

When does an organisation need this?

Every data question goes through IT

Business teams wait days for a simple table while IT drowns in small ad-hoc requests.

Dashboards exist but nobody opens them

Reports were built to one person specification and do not match how teams actually decide.

Each report defines metrics differently

Three reports, three different answers for "active customers".

Capabilities

What BigAI delivers in a project

The BI problem is rarely the BI tool

Companies usually blame the reporting software when dashboards are slow. In most assessments BigAI runs, the cause sits one layer down: no analytical model, with every chart querying transactional tables directly.

Swapping tools in that situation just moves the bottleneck. Build the analytical layer and the certified metric set first — after that, any tool performs well.

Analytical data modelling

Star schemas and subject-area marts designed for analysis rather than transactions.

Shared metric dictionary

One definition, one formula and one accountable owner per metric.

Role-based dashboards

Purpose-built packs for the executive team, finance, sales, operations and HR.

Self-service BI

Business users build their own reports within their data boundary — no SQL required.

Outcomes

Expected results

Ranges aggregated across delivered BigAI projects. Specific targets are agreed during the assessment phase.

Swipe to see the full table

Expected results
MetricBeforeAfterImprovement
Wait time for a new report3–10 daysSelf-served in minutes−90%
Weekly active business usersunder 15%60–75%4x

Technology used

dbtTrinoClickHouseApache SupersetPower BIMetabaseCube

Case studies

Related projects

View all case studies

FAQ

Frequently asked questions

No. BigAI works on the data and metric layer underneath; your visualisation tool stays. In practice Power BI gets noticeably faster once the model beneath it is correct.

Typically 4–6 weeks for the executive pack, assuming source data is available. Without a data platform in place, source consolidation has to come first.

Start with a free 60-minute data assessment

A BigAI solution engineer will review your current data estate with you, identify the highest-value problem to solve and sketch a realistic roadmap. No commitment.

  • Data maturity assessment
  • 2–3 use cases with clear ROI
  • Budget and timeline estimate

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