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Business Intelligence consulting

Build reporting that changes decisions.

Replace disconnected spreadsheets, unclear KPIs, and overloaded dashboards with an intelligence environment leaders and operating teams can trust.

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A dashboard is only the visible layer of the problem.

When measures lack shared definitions, source data is unreliable, reports have no clear audience, and ownership is fragmented, visual redesign alone cannot create confidence.

Tekrra1 strengthens the full reporting chain: decisions, KPIs, semantic models, data quality, information design, security, validation, release, and adoption.

Decision-led designBegin with the questions and actions the audience owns.
Shared metric logicCreate reusable definitions and governed semantic models.
Exception visibilityHelp users see what changed, why, and where to act.
Audience fitGive executives, operators, and analysts the depth they need.
Business Intelligence delivery team
The best dashboard reduces the time between seeing a signal and taking the right action.

Where this capability creates practical value.

The right scope focuses on a defined business change, not a long list of technology features.

01

KPI frameworks

Define purpose, calculation, owner, grain, target, context, and intended action for each important measure.

02

Power BI delivery

Design, develop, test, deploy, and optimize Power BI models, reports, apps, and workspaces.

03

Semantic models

Create consistent, reusable business logic across reporting experiences.

04

Executive reporting

Focus leadership attention on movement, drivers, exceptions, risk, and decisions.

05

Operational analytics

Support daily investigation, prioritization, coordination, and performance management.

06

Governance and modernization

Reduce duplication, improve release discipline, secure access, and replace fragile legacy reporting.

A delivery path that keeps the business involved.

Technical decisions stay connected to users, controls, ownership, and adoption throughout the work.

01

Frame the decisions

Identify audiences, questions, actions, and the information needed to support them.

02

Align the measures

Define logic, ownership, sources, and validation before visual design.

03

Design and build

Create the model, experience, testing, security, and deployment path.

04

Adopt and govern

Train users, monitor usage, manage change, and improve the reporting portfolio.

Realistic Business Intelligence use case

Operational leaders with many reports but little shared clarity.

Situation: Teams received large report packs with overlapping measures, inconsistent filters, and no clear separation between executive signal and analytical detail.

Solution: A shared semantic model supported distinct executive, operational, and analytical experiences, with clearer KPI ownership and validation.

Qualitative outcome: Leadership conversations became more consistent, users could investigate drivers without leaving the governed environment, and report maintenance became easier to coordinate.

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Signals the current approach is not working

  • Meetings begin by debating which report is correct.
  • Important dashboards show activity without context or action.
  • Similar measures are rebuilt differently across teams.
  • Report changes are released without clear testing or ownership.

What a stronger operating capability provides

  • A shared language for important business performance.
  • Audience-specific views built on consistent underlying logic.
  • Stronger validation, security, release, and workspace discipline.
  • A reporting portfolio that is easier to use, govern, and evolve.

A dashboard should make the next decision easier.

If it does not, the reporting design is not finished.

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