Business Intelligence & Analytics

Turn fragmented reporting into trusted dashboards and shared business metrics.

Reports disagree, month-end takes too long, and leaders still reconcile in spreadsheets before they trust a decision.

We implement and improve Power BI and related analytics: centralized semantic models, KPI definitions, executive and departmental dashboards, and self-service foundations—with validation and access rules so totals reconcile to agreed sources.

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How this work looks

BI & analytics is the Understand stage—interactive KPIs and charts on a shared semantic model.

Connect → Understand → Apply AI → Act
Interactive demo · Sample data · Simulated AI
2/4

Revenue

$1.25M

FY26 Q2 · Apr–Jun

Open Pipeline

$420k

As of Jun 30

Conversion Rate

28%

Company

Revenue over time

FY26 Q2 · Apr–Jun

$458k$0AprMayJun

Hover a point for detail

Revenue by region

Q2 YTD

West$420kEast$448kCentral$380k

Pipeline by stage

As of Jun 30

Prospecting
$40k
Qualified
$130k
Proposal
$55k
Negotiation
$111k
Delayed
$84k

Explore performance with clear, interactive analytics.

What’s included

Dashboard Development

Executive and departmental views for the questions leaders actually ask—financial, sales, marketing, workforce, and operational.

Executive & Departmental Reporting

Trusted reporting packs with validation so totals reconcile to agreed sources.

Self-Service Analytics

Governed publish and consume patterns so self-service does not become conflicting shadow reports.

Reporting Modernization

Retire brittle extracts deliberately; consolidate and tune models for freshness and usable performance.

Centralized Data & Semantic Models

Shared measures with business owners so finance, sales, and ops stop arguing about the same number.

Power BI implementation & improvement

Models, reports, and workspace patterns that make Power BI a reliable decision surface—not a chart graveyard.

Example use cases

Hypothetical patterns · Not customer claims

Financial reporting pack

Shared P&L and variance views with definitions finance owns.

Revenue & pipeline analytics

CRM and billing aligned so pipeline metrics stop disputing each other.

Workforce headcount views

Governed headcount and attrition metrics with clear owners.

What engagement includes

  • Discovery of sources, definitions, and access constraints
  • Semantic model and metric dictionary
  • Dashboards with validation results
  • Access rules and user handover

What we ask from you

  • Access to relevant systems or extracts
  • Business owners for metric approval
  • Examples of current reports and pain points

See the From data to decisions walkthrough on the homepage, or Job #4821 on /demo and /ops-visibility for a deeper operational example. View demonstration

Sample deliverables

  • Semantic model
  • Metric dictionary
  • Dashboards
  • Access rules
  • Validation results
  • User handover

Engagement boundaries

  • Row-level security and report permissions are in scope; organization-wide MFA rollout is not.
  • No invented savings or guaranteed adoption metrics.

Relevant platforms: Power BI · Microsoft Fabric

Technologies we work with

Confirmed capabilities only — not certifications or partnership badges.

  • Power BI
  • Microsoft Fabric
  • Palantir Foundry
  • SQL
  • dbt
  • Python
  • Power Apps
  • Power Automate
  • Azure Data services
  • Databricks

FAQs

We work with Power BI and the stack you have when it is the practical path, including Fabric-backed models.

Ready to talk through this capability?

Tell us about your situation. We will help you define a practical next step.

Discuss Your Project