A business request, approved for analysis
A business stakeholder asks for a new data product: what they need, why, and who will use it. The data team reviews the request and approves it to be analysed.
One data product, followed end to end. Customer 360 is the example: every stage measured, every step recorded, and the business able to see it as it happens.
At every stage FluenBox consolidates the reports from the tools you already use, recalculates the score and records the change in the audit trail.
A business stakeholder asks for a new data product: what they need, why, and who will use it. The data team reviews the request and approves it to be analysed.
Every data product starts with its RACI matrix: who does the work, who answers for it, who is consulted and who is kept informed. Each role sees only its own tasks and approvals.
Teams complete tasks, and the evidence arrives from the connected tools instead of being uploaded by hand. Oregon AI flags the gaps as they appear.
Each control is mapped to the frameworks that apply: DAMA-DMBOK, DCAM, CDMC and ISO 8000, GDPR where personal data is processed, and BCBS 239, DORA and the EU AI Act for regulated institutions.
Once the score passes the go-live threshold, the data product goes to production with its certificate. From then on the score is recalculated continuously.
Every report, task, evidence item, approval and score change is logged with date and author. Auditors validate the evidence and export the audit pack.
Each organisation decides the data maturity a data product needs before it goes live, depending on how critical it is.
Each fix is measured again, so progress shows as a trend. If a live product drops below the threshold, its tasks reopen.
Product results roll up to domains, countries and the whole organisation, so the board reads the same picture the teams work on.
Data owners, sponsors and consumers do not need to read pipelines or quality rules. They get one live view per data product.
Where the product is in the lifecycle, its score against the go-live threshold, and what is blocking it.
Approvals and sign-offs assigned by RACI role, in the same place the work happens.
Built by Oregon AI across every data product, for the leadership team and the board.
FluenBox does not replace your stack. It reads reports and signals from it through connectors, and turns them into evidence.
Cost against the value delivered.
Rules, results and trends.
Runs, failures and freshness.
Structure and change over time.
Incidents and requests.
Ownership and how data flows.
Who can see what, and why.
Frameworks, controls and evidence.
When a data product holds personal data, FluenBox adds the GDPR controls to its plan: lawful basis, purpose limitation, minimisation, retention, data subject rights, security of processing, records of processing, impact assessment and international transfers. Each one counts only when the evidence is there.
Strategies, policies and procedures, measured for executives.
Who does the work and who answers for it, on every data product.
Answers, reports, dashboards and data products, inside your guardrails.
What each data product costs, across every cloud and on-premise.
Pipeline status and data lineage, attached to each data product.
The same lifecycle, with regulatory controls switched on.
A 30-day pilot on a real part of your business, scored from business request to go live.