Data, analytics and decision support
Turning scattered data into dependable elements of decision, with human control over critical decisions.
The issue
The problem as it presents itself.
Organisations hold more data than they use, and the difficulty is organisational rather than technical: uneven quality, unclear ownership, no governance. A decision founded on unqualified data is more dangerous than a decision taken without data at all.
Intended outcome
What the organisation gets.
Indicators whose provenance can be traced, whose quality is measured, and whose use in a decision is documented and open to challenge.
Before committing
Four preliminary questions.
An organisation that cannot answer these questions does not yet have a programme: it has an intention. Formulating them costs less than discovering them mid-delivery.
- 01For each of your management indicators, do you know who owns it and where its underlying data comes from?
- 02Can an analytical result be explained to the person it concerns, and challenged by them?
- 03Which decisions would you be willing to base on data whose quality is not measured?
- 04Are your indicators re-evaluated after going live, or only at acceptance?
Our role
What we take on.
- Data governance: ownership, quality, life cycle and access rights.
- Consolidation of heterogeneous sources with traceability of origin.
- Analytical and decision-support methods proportionate to their use.
- Presentation adapted to the decision-maker, with uncertainty stated explicitly.
- Continuous monitoring of indicator quality and conditions of use.
Security
Principles applied.
- Minimisation: only the data required for the stated purpose is processed.
- Separation of data sets and access control by purpose.
- Logging of access and of analytical use.
- Mandatory human control over any decision with significant effect.
Deployment
Available modes.
- On the client’s own infrastructure, including in disconnected environments.
- In a hybrid environment, with sensitive data processed locally.
The mode depends on the organisation’s own sovereignty, continuity and classification requirements. It is settled before design, not after.
Deployment modes
Encryption keys held by the client organisation
Konect keeps no copy, whichever mode is chosen.
National infrastructure
- AccessPublic network
- ProcessingPublic network
- DataSegregated
Execution and data residency within the organisation’s own territory.
Hybrid environment
- AccessPublic network
- ProcessingSegregated
- DataSegregated
Sensitive processing stays local; the rest may be shared.
Isolated environment
- AccessSegregated
- ProcessingSegregated
- DataSegregated
No link to the public network. Exchanges pass through a controlled transfer.
Transfer of skills
End of engagement.
Training of analysts and business owners in interpreting indicators, understanding their limits and recognising when a result must not be used.
Related domains.
Consultations · Pre-qualifications · Partnerships
Continue the conversation.
Detailed material — methodology, references, capability statement — is provided within a controlled framework, at the request of an identified organisation.