A Big Data project is no ordinary one. It will trigger major changes which must necessarily be based on your corporate strategy. The Micropole teams partner you on:
- The project scoping: its description, the requestors, the possible data paths, the expected benefits.
- Sponsoring: sponsor determination and involvement.
- Steering: defining the composition, the role and the governance of the project strategic committee ?-
- Representativeness (General management, business management, IS)
- Forecast loads of members
Procedures and collaborative tools
- Strategic committee sensitization to Big Data specifics
- Decision support IS / Big Analytics analogy
- Definition of stakes, goals and milestones of the project
- Means and budget scoping specific to the project
- Definition of follow-up and evaluation rules for the strategic committee
A Big Data initiative must be at the service of the business users, as it is they who will benefit from the newly acquired value in the IS. The organization must therefore reflect this ongoing working relationship between the IS management and the business.
Implement the decision-support IS business dictionaries. A corporation leverages knowledge of data and in particular those data which are critical for the management and optimization of its commercial development. Documentation and data sharing are based on ongoing mapping, validation and evaluation procedures.
- Assist in method and documentation choice, which on a technical level will be based on the I.S. meta-data of storage and quality compliance (ETL, DQM, MDM …), and which will enable progressive definition of corporate dictionaries directly by the business –savvy users.
Define the moderation and governance organization on decision-support IS projects per business field.
- Assist in the choice and implementation of collaborative tools, enabling needs collection, support, best practice and diverse information.
- Assist in the building of permanent decision-support IS project committees per business field.
A Big Data / Big Analytics project tests the limits of capacity of the technical bases used on the DSIS. The existing bases must be adapted to meet these new challenges.
- Sensitize the DSIS teams to the Big Data markets, actors and practices. (Summary of Micropole Research & Innovation Watch).
- Evaluate the current performance of the DSIS (and its components) and challenge it with cutting-edge technologies, independently of the Big Data issue.
- Inventory the needs of different Big Data initiatives and undertake a gap analysis in relation to the current system with the cutting edge enhancement.
- Consider the technical components specific to some new organizations. (DataLabs, sandbox, agile BI …).
- Define the corporate platform technological roadmap (in relation to the legacy, milestones, project emergencies…and of course, budgets).
- Assist in the choice of components to be replaced or missing.
- Assemble and deploy the platform.
Define the skills enhancement plan.