Delivering an enterprise data platform with compliance built in
Led the end-to-end implementation of a governed Microsoft Fabric platform, embedding security, lineage, quality and compliance controls into the foundation.
TRACE → SAFEGUARD → TRACKData Trust & AI Readiness Advisory
Trust your data
before you scale it.
We help organisations fix the data problems that make reports unreliable, projects slower and AI harder to trust.
We find where the problem begins, who should own it and what needs to change first.
Clear findings. Practical fixes. No unnecessary bureaucracy.
DATA ENVIRONMENTCONTROLLED
05 signals traced01 control path
Selected experience
Experience built across respected organisations.
Our consultants have supported organisations across infrastructure, higher education, financial services and growing businesses.
Selected experience includes work delivered by REMAVELLE consultants in current and previous roles. Organisation names and marks remain the property of their respective owners.
The hidden risk
Most data problems are discovered too late.
Data quality failures rarely stay inside the data team.
They surface later as unreliable reporting, rework, transformation delays, operational disruption, regulatory exposure and AI outputs nobody fully trusts.
We trace the problem back to its source and show what to fix before the cost spreads.
01
Reporting nobody fully trusts
02
Critical data nobody clearly owns
03
Governance that exists mainly on paper
04
Quality issues detected after business impact
05
AI programmes built on weak data foundations
What we believe
A policy does not make data trustworthy.
A dashboard can show that something is wrong. It cannot decide who owns the problem or make sure it gets fixed.
Trust comes from clear ownership, useful checks and a simple way to deal with problems when they appear.
We bring those pieces together so people can use important data without second-guessing it every time.
Clear ownership. Better checks. Fewer surprises.
Services
What we help with
Four common problem areas, all connected by the same question: can people rely on the data?
01
Data Trust
Measure whether the organisation can confidently rely on its critical data.
Explore Data Trust →02Data Quality
Detect, prioritise and prevent the issues that undermine reporting and operations.
Explore Data Quality →03Data Governance
Create ownership, accountability, standards and decision rights that work in practice.
Explore Data Governance →04AI Data Readiness
Assess whether enterprise data is governed, reliable and controlled enough to support AI.
Explore AI Data Readiness →The REMAVELLE Method
A straightforward way to find and fix the problem.
We follow the data, check what is actually happening and agree the smallest useful set of changes.
T1
TRACE
Map critical systems, data sources, flows, dependencies and stakeholders.
R2
RATE
Assess quality, ownership, governance, controls and reporting confidence.
U3
UNIFY
Define standards, ownership, priorities and the target operating approach.
S4
SAFEGUARD
Strengthen controls, governance, security and responsible access.
T5
TRACK
Measure improvement, monitor recurring issues and maintain trust over time.
REMAVELLE Data Trust Assessment
How much of your critical data can you actually trust?
We show leaders which data is reliable, where the main risks sit and what to fix first.
Data QualityData OwnershipData GovernanceData ControlsReporting TrustAI Data Readiness
Request a Data Trust Assessment Illustrative assessment viewREMAVELLE / TRUST
58/ 100
DATA TRUST SCORE
EXPOSEDCONTROLLED
Delivery evidence
Selected delivery
Four examples of complex data and AI capabilities we have designed and delivered.
Building a data-quality early-warning platform
Designed and built a monitoring platform that detects emerging data-quality failures before they spread into reports, operations and customer decisions.
RATE → SAFEGUARD → TRACKEngineering the data, ML and AI intelligence behind FlashRole
Led the data, machine-learning and AI capability behind FlashRole, transforming CV, role and market signals into more relevant career guidance.
TRACE → RATE → SAFEGUARDUnifying Kare24’s data and systems for growth
Assessed and improved Kare24’s fragmented data and systems, creating clearer information flows, simpler operations and a stronger digital foundation for growth.
TRACE → SAFEGUARD → TRACKBad data bites.
One broken field can cause problems across reports, teams and systems.
We are the antidote.
We find the original cause instead of adding another workaround downstream.
Read our perspectiveInsights
Thinking on data trust
Explore insights01
AI Readiness
↗02Why AI programmes fail before the model is even deployed
AI readiness begins with trusted data, ownership and control.
Data Governance
↗03The hidden cost of data nobody owns
When ownership is unclear, quality problems become organisational problems.
Data Governance
↗Data governance without bureaucracy
Governance should accelerate confidence, not create unnecessary process.
FREE DECISION TOOL
Not sure which compliance route fits?
Answer seven quick questions. We will tell you whether ISO 27001, SOC 1, SOC 2, privacy work or stronger internal controls is the most sensible next step.
Find the data problem before it becomes a business problem.
If reporting, transformation or AI depends on data people do not fully trust, we can help you work out why and what to do next.