Implementation of your projects
As a consulting and technological expertise firm dedicated to Cybersecurity, Synetis supports its customers in the deployment of their IAM solutions.
Synetis can handle the integration of solutions, from the functional & technical design phase through to production deployment and data initialization.
In terms of integration and deployment strategy, there are two distinct approaches depending on the context:
- Deployment of a solution, without an existing platform beforehand :
- Here, we are talking about the first implementation of a Digital Identity service within the customer’s firm
- In this case, we go for an MVP (minimum viable product) approach comprising a basic platform …. and we build on this to gradually broaden this Digital Identity service, in order to deliver new features by iteration.
- For the project to succeed, it is essential that users adhere willingly to this new Digital Identity service; their enthusiastic and early embrace of the service can make it easier to identify priorities to be taken into account right from the first iteration of the platform.
- Migration from an existing service to a new service :
- When replacing an existing solution, we need to define a migration strategy ; this might include a “double run” phase to minimize risk at the time of the switchover or to get a rudimentary but value-added service up and running faster.
- Migration projects should not be seen as doing the same thing as before just a tittle bit better thanks to a new product or to resolve a problem of technical obsolescence; rather, such migrations should be an opportunity to start afresh to match needs that will have evolved over time.
- Thus, we need to take into account feedback from the field as well as changes to the initial solution.
State of the art
- Ensure that the needs analysis is exhaustive and that it covers the expectations of the various business lines of the customer’s company.
- Verify that the solution corresponds to the expectations during the acceptance phase. Moreover, this verification should be done regardless of our approach (i.e. classic V-Cycle methodological approach, or Agile approach based on sprints).
- Anticipate data-quality problems by addressing this issue pro-actively before the service is opened
- Monitor the deployment of the solution over time, preparing the data initialization phase and monitoring the launch and evolution of the service
- Implement change management, which is a major factor of success, including awareness raising, communication, training, evaluation of user satisfaction, etc.
- Pilot the project and coordinate the different actors involved to ensure that commitments are met (quality, timeline, SLAs, etc.).