LYVATE

Service

Data Platforms & Reporting

Trusted data platforms, analytics products, and decision systems for leaders and operators.

Problem statement

Disagreement about a number is usually a disagreement about its definition.

Business teams cannot act confidently when metrics are scattered, definitions conflict, and reporting is detached from operations.

Two teams present the same metric and the figures do not match, so the meeting becomes an argument about the data instead of a decision about the business. The pipeline is rarely at fault. What is missing is an agreed definition, a named owner, and a way to trace a number back to the systems it came from — which is slower to establish than a dashboard and considerably more valuable.

Who this is for

  • Leadership cannot get a straight answer because each system reports its own version of the truth.
  • Reporting arrives too late in the month to change anything.
  • You are preparing data for AI work and need it trustworthy before it is useful.

When it is not a fit. If you need a visualisation layer over data you already trust, a BI contractor will be faster and cheaper than this engagement.

Typical engagement

Priority sources connected, definitions agreed with the people who own them, quality thresholds and lineage established, and a governed layer the business can query without asking an analyst.

First output. A reconciliation of your two or three most-argued-about metrics back to source, with the definitional gaps written down.

What LYVATE does

  • Unify key data sources and metric definitions.
  • Build governed dashboards, semantic models, and AI-ready data layers.
  • Operationalize insight with alerts, workflows, and decision cadences.

Deliverables

  • Data model
  • Executive dashboards
  • Metric definitions
  • AI-ready knowledge layer

Technologies

  • PostgreSQL
  • dbt
  • Python
  • BI tools
  • Warehouses
  • Data quality checks

Outcomes to measure

  • Trusted reporting
  • Faster decisions
  • AI-ready operational data

Start with Data Platforms & Reporting

Bring us the number two teams cannot agree on.

Tell us which metric gets argued about and which systems each version comes from. We will trace it back to source and show you where the definitions diverge.