1. Introduction >> 2. Our Value Proposition

In major companies, Management has access to many information sources to drive their Business. However, they consider this much of this ‘information’ as not relevant, as they still need some missing and clear indicators and measures to make efficient decisions.

In these organisations, Business Intelligence must be introduced in order to leverage all available data (internal and external), and transform these into added value information supporting the decision making process.

Thus, a clear Information & Analytics strategy must address:

• Business needs
• What are the Information & Analytics needs of the entire organisation?
• Executive / Top management: Management cockpit, Balanced Scorecards
• Finance: Budgeting, Actual vs. Forecast analysis, Narrative process, Finance performance
• Marketing & Sales: Customer insight, Marketing automation, Call centre management, Portfolio management, Sales Force management
• Human Resources: Organisation and Governance, Career management, Resource planning
• Production & Logistics: Supply chain management, Production management & optimisation
• Organisation and processes:
• How to organise the Information & Analytics domain between Business and IT lines?
• How to define a Data Quality stewardship?
• What are the main processes to collect and maintain data?
• Business Intelligence capabilities:
• What are the required capabilities to meet the Business needs?
• What kind of solutions and technologies are available to support these capabilities?
• Business Intelligence architecture:
• How to structure the entire architecture (Legacy Systems, Operational Data Store – ODS, Data warehouse, Data marts, ‘Dashboarding’ tools, Reporting tools, Mining tools …)?
• What are the key skills to build and manage this environment?
• What are the various technology options?

>> Find out about our Information & Analytics value proposition