Analytics & BI

Turn fragmented reporting into trusted dashboards and shared business metrics.

We build the dashboards and shared definitions your leaders actually use for finance, sales, and operations, so totals match and the month-end argument gets shorter. Power BI is the tool we usually use.

Contact us for a Free Assessment. We'll follow up within 2 business days. See a sample Free Assessment.

Analytics & BI

Understand performance with reports your team can trust.

ReportingDashboardsPower BI

The problem, and how we fix it

Which number is right?

Sales, finance, and ops each report a different number for the same KPI, so every meeting starts with reconciling.

How we fix it: We build a source of truth with shared KPI definitions, so the whole business trusts the same numbers.

Today: Numbers disagreeNext: One trusted number

Illustrative example

Before

Illustrative example, before: sales, finance, and operations reports each show a different revenue figure, flagged as a mismatch, with hours lost reconciling.Sales reportRevenue, Q3$1.24M≠Finance reportRevenue, Q3$1.31M≠Ops reportRevenue, Q3$1.18M≠Hours spent reconcilingbefore every meeting

After

Illustrative example, after: sales, finance, and operations data combine into one source of truth with a shared revenue definition, feeding one dashboard where every team sees the same figure.SalesFinanceOpsSource of truthShared KPI definitionRevenue = invoiced, net of creditsCompany dashboard$1.27MRevenue, Q3Sales$1.27MFinance$1.27MOps$1.27MOne definition, one number

What's included

Turn scattered reports into dashboards and shared definitions your team can trust. See what changed, and where to focus, without another spreadsheet reconcile.

  • 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.

  • Shared definitions

    One meaning for revenue, margin, and headcount, with a named owner, 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.

See performance clearly. Know where to focus.

We build dashboards and shared metric definitions that help your team understand performance, investigate changes, and make informed decisions.

Illustrative example. A regional service company needs to compare revenue, labor cost, job completion, and outstanding work across branches.

Sample scenarioRidgeline Field ServicesFictional branch sample, not a client report

Paused · Step 1 of 4

Management view

Branch performance

Sample close · one definition of the numbers

Revenue

$562,000

Gross margin

41.9%

Revenue − direct labor

Completed jobs

131

Overdue jobs

6

Open at month end

Monthly performance

Revenue and direct labor for the selected branches

Revenue Labor
Jan$508,000
Feb$524,000
Mar$562,000Selected

Branch comparison

Service territory · revenue and overdue jobs

North has the highest overdue-job count this month (3).

Jobs needing attention

6 open jobs in this selection. The overdue KPI uses this same list.

  • J-1048 · North

    Pump station rebuild

    Parts waiting · 11 days overdue

  • J-1088 · South

    Roof coating

    Weather hold · 8 days overdue

  • J-1062 · North

    HVAC retrofit

    Crew not scheduled · 6 days overdue

  • J-1019 · Central

    Generator service

    Customer reschedule · 4 days overdue

  • J-1071 · North

    Panel inspection

    Access window missed · 3 days overdue

  • J-1094 · South

    Dock repair

    Permit pending · 2 days overdue

Consistent metrics, interactive reporting, and clearer priorities.

Platforms and tools we work with

  • Power BI
  • Microsoft Fabric
  • Palantir Foundry

Capabilities

  • Shared definitions
  • Trusted dashboards
  • Branch comparisons
  • Numbers that match

Selection depends on the client environment. Not every implementation uses every tool. Not a partnership or certification list.

Tell us about this workflow. We'll follow up within 2 business days.

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Example use cases

Illustrative 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.

Deliverables and expectations

What you leave with

  • Shared definitions
  • A short metric guide
  • Dashboards
  • Who can see what
  • A check that totals match
  • Handover for the people who will use them

What this does not cover

  • Who can open a report is in scope; organization-wide MFA rollout is not.
  • No invented savings or guaranteed adoption metrics.

What you can count on

  • 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 Connect, Understand, Apply AI, and Act walkthrough. View demonstration

How an engagement runs

Every engagement starts with a conversation, then a clear written scope.

  1. Understand

    We look at how the work happens today and agree on the one problem to solve first.

  2. Agree the scope

    You get a short written plan: what changes, what stays, and how we will check it worked.

  3. Build and check

    We build in small steps and review each one with the people who will use it.

  4. Hand over

    Your team gets plain notes and a walkthrough, so they can run it without us.

Tools we use

Named so you know what we can work with. These are tools, not the product, and not partnership badges.

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

FAQs

Do you only work with Power BI?

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

Will this replace every existing report?

Only where replacement reduces risk or confusion. Often we stabilize the trusted few and retire the rest deliberately.

Tell us where the numbers are hard to trust.

Contact us for a Free Assessment. We'll follow up within 2 business days.

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