Quality
Normind Intègre can correct inadequate guiding principles and help improve the existing body of best practices

Intègre manages best practice virtuous circle, supporting each step of best practice application :


Image(1) Their definition,
(2) Their usage, by professionals, in decision making process,
(3) Data collection,
(4) Public or individual monitoring dashboards’ definition,
(5) Dysfunctions’ detection,
(6) New proposals for correcting and updating best practice guidelines with relevance, then ensuring quality expectations and laws/regulation standards are met.



Within an organization, Intègre comes along the global deployment of a strategic vision through a quality policy :


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  • Professionals act regarding best practice guidelines,
  • Transversal coordination process between departments benefit from a permanent practices’ collection
  • Monitoring dashboards help to define strategy and to pilot it
  • Practices/Strategy gaps observation is permanent
  • Corrections are immediately integrated into practices and process.



Modeling and Data Collection
The professional area is modeled through a specific vocabulary and constraints sets. This modeling process is used to describe the experts’ well–known action, thinking and mechanism’s modes in a semantic way.
Learning and knowledge retrieval
Ongoing information collection enables to detect regularities in practices. These regularities can be compared to existing models by experts. These comparisons lead to a dynamic models’ update and to practice deviations’ detection.
Social mapping, linkages between entities
Information are put together to produce a global vision of all the information managed by the system. The it gets possible to search for existing or deduced linkages between different entities (people, organizations,…) and to evaluate their coherency regarding modeled constraints.
Decision chains
The constraints modeled into the system stand for the mechanism’s understanding and knowledge which are behind all professional process. These constraints can be gathered to design a global vision of decision chains.
Systemic analysis, behavior simulation
Modeling enables to simulate certain actions’ consequences, and so to evaluate some actions’ effects, especially non-desired effects (unpreviewed events, incoherencies) or information lacks. Vicious or virtuous circles detection also becomes possible.
Decision anticipation
Behavior simulation enables to anticipate decisions, alerting about possible sources of incoherencies and about information to check in order to ensure a full coherency of the system.
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