Founder-led data advisory and delivery

From fragmented data to trusted decisions.

Mayimona Data Advisory helps complex and regulated organisations modernise fragmented data estates and build trusted platforms for reporting, operations, decision-making and AI.

Start with a focused conversationExplore the diagnostics

Most organisations do not have a data shortage. They have a trust, meaning and usability problem.

The data exists. It arrives, it loads, the pipelines run green. Then two reports disagree, a definition shifts between teams, and a decision waits while someone reconciles spreadsheets by hand.

More tooling rarely closes that gap, because it sits between data being moved and data being understood, controlled and used with confidence.

Does any of this sound familiar?

  • Executive reports disagree because teams define customers, products or performance differently.
  • A cloud warehouse or lakehouse is live, but people still export to Excel to check the numbers.
  • A new ERP or business system has gone live, but people still do not trust the numbers coming out of it.
  • Legacy systems hold conflicting versions of the same customer, product or transaction.
  • Governance exists as policy, without clear ownership, controls, lineage or access decisions.
  • An AI initiative has stalled because the data, context or permissions behind it cannot be trusted.
  • A deployed AI tool produces answers people double-check, or quietly ignore.
  • A programme or delivery partner needs senior data leadership for a defined phase.

How MDA works

Strategy connected to delivery

MDA works across the whole journey, so the design that is agreed is the design that gets built.

  1. Discover & Diagnose

    What is happening, and where should we start?

    We assess the estate, the decisions it supports, its risks, users and constraints.

  2. Design & Govern

    What should the target state mean, control and enable?

    We define the architecture, shared meaning, ownership, security and controls.

  3. Build & Modernise

    Can the design work in production?

    We implement the priority platforms, pipelines, models and analytics products.

  4. Activate & Scale

    How do we operate, adopt and extend it safely?

    We embed monitoring, ownership, enablement and a repeatable delivery model.

Meaning before scale. Controls before confidence. Decisions before tools.

See the approach

Three ways to start

Most engagements begin with a bounded diagnostic, so you can decide what to fund next on evidence rather than assumption.

2-3 weeks

Data Trust & Transformation Diagnostic

For estate-wide uncertainty: untrusted reporting, fragmented sources or unclear modernisation priorities.

You receive an evidence-based view of the current state and a prioritised 12-month roadmap.

View details

2-3 weeks

AI Reliability & Adoption Diagnostic

For an AI solution already in use that is unreliable, poorly controlled or not being used.

You receive a root-cause verdict and a prioritised plan to repair, redesign, replace, retire or scale it.

View details
Founder photo

Founder-led

Founded and led by Gaety Mayimona

Gaety leads every MDA engagement directly, from the first conversation to handover. Where the scope requires it, verified specialists join for defined pieces of work, and you will always know who is doing what.

His experience spans eight years of data strategy, architecture, engineering, governance and analytics across:

  • Pensions
  • Aviation
  • Financial services
  • Insurance
  • FMCG
  • Retail
About Gaety

Start with a focused conversation

Tell us about the decision, the data behind it and what is getting in the way. We will suggest the most proportionate next step. Sometimes that is a diagnostic; sometimes it is simply a clear piece of advice.

Start a conversation