A GKM Legacy Holdings company · contracting in Maryland, USA · delivering from Accra, Ghana
Strategic Advisory
& AI
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Practice 09 of 11

Data, analytics & automation reliable data, repeatable operations

Dashboards, analysis, financial models, document analysis, automation and data pipelines that connect reliable information to decisions, with validation first and a handover your team can run.

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Led byMichael Gagakuma 11 services 4 free tools

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The practice

Dashboards, analysis, financial models, document analysis, automation and data pipelines that connect reliable information to decisions, with validation first and a handover your team can run.

Practice 09 of 11

When organisations call us, and where we stop.

The situations this practice exists for, and the lines we do not cross.

When to call

  1. Meetings start with arguments about the numbers
  2. Reporting is rebuilt by hand every month
  3. A decision needs analysis nobody has time to do
  4. Staff copy data between systems all day

Our boundaries

  • Validation comes before visualisation; exceptions are shown, not hidden.
  • We do not audit accounts or give investment advice.
  • Some tasks should stay manual; we say which.

Services in this practice.

Each one starts with a defined first scope and a fixed fee agreed in writing.

  1. 09.01 Market, competitor and brand radarWe produce one sector radar issue that answers your live commercial questions from public and permitted sources, then agree recurring coverage only if it earns its place.

    Led by Michael Gagakuma

  2. 09.02 AI agents and workflow automationWe automate one recurring task end to end, with error recovery, run logs and a tested handover, before touching the next one.

    Led by Michael GagakumaFree tool: Workflow automation value calculator

  3. 09.03 Marketing, GA4 and brand-sentiment analyticsWe diagnose one tracking or campaign-measurement problem using your actual account data and a clear test plan, then fix it or tell you exactly who should.

    Led by Michael GagakumaFree tool: Campaign UTM & naming builder

  4. 09.04 KPI dashboards and Power BIWe reconcile one dataset into a useful KPI view with agreed definitions and refresh logic, and teach your team to maintain it.

    Led by Michael GagakumaFree tool: KPI dictionary & dashboard planner

  5. 09.05 Fractional data analystWe answer one management decision with the data you already hold, then offer recurring, bounded analysis cycles once the first sprint has proved useful.

    Led by Michael GagakumaFree tool: KPI dictionary & dashboard planner

  6. 09.06 Donor results dataWe reconcile your programme results data and deliver one usable analysis, dashboard or reporting cycle, with every figure traceable to its source.

    Led by Michael GagakumaFree tool: Donor reporting reconciliation workbench

  7. 09.07 Management, board and investor reportingWe produce one board reporting cycle from approved figures, with a clear narrative, exceptions highlighted and a finance review step before anything is circulated.

    Led by Michael GagakumaFree tool: Cash-flow & runway scenario planner

  8. 09.08 Document analysis at scaleWe compare a defined set of documents and return cited findings, a list of extraction exceptions and a hand-checked validation sample, so you can trust what AI-assisted review found.

    Led by Michael GagakumaFree tool: RFP compliance matrix builder

  9. 09.09 Financial models and cash-flow scenariosWe build and test a bounded cash-flow or scenario model with explicit assumptions and an independent formula review, so the numbers can be challenged and still stand.

    Led by Michael GagakumaFree tool: Feasibility sensitivity explorer

Also within this practice

Mapping & Location Intelligence (site selection, coverage, asset and farm mapping)

Location analysis from open data for site selection, coverage and asset or farm mapping, with coordinate checks and uncertainty stated. It is not a land survey.

  • Mapped layers with sources and dates
  • Coordinate and coverage checks
  • A note on uncertainty and limits
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Data Plumbing: Databases, Pipelines & API Integrations

We connect one source to one destination, such as a form to a database or a system to a dashboard, with validation, retries and sanitised logs.

  • A working, monitored connection
  • Validation rules and error handling
  • Operating log and runbook
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How the work runs.

Inputs, then validation, then analysis/build, then acceptance, then operation. Each stage ends in something you review.

Stage 1 of 5

Inputs

List the inputs, owners and access.

Review pointInputs confirmed.

Documented experience.

Roles held by our principals, each with its source. Demonstrations are labelled as demonstrations.

Individual experience of our principals, before or outside GKM Strategic Advisory & AI. Not GKM contracts.

See the proof collection: Reconciled data-to-decision demo

What needs to move forward?

Tell us the decision, the challenge or the opportunity. We reply with a scoped approach, a named principal and a fee before any work begins.

No charge to submit an enquiry.