Business Intelligence / DWH

Your organisation owns and processes significant amounts of data. The data comes in from diversified channels and relates to all different areas of your business. Moreover, the all-round situation the data represents offers you a broad and deep insight into the all-round efficiency and effectiveness of your business. Your clear understanding of the information it holds will therefore enable you to affect your business in important ways.

Great Business Intelligence is all about turning your data into information that will confidently support decision making and strengthening your ability to take the actions that will result in the highest added value for your business.

To get there, sometimes a data warehouse (DWH) will be set-up. This will integrate data from multiple sources and track history. Alternatively, reports can be created directly from operational systems, such as your CRM, ERP, etc. solutions. All information can be made available through a portal solution.

To achieve the highest value for you, in the short as well as longer-term, ENQIO will engage the architecture that is a ‘best fit’ for your needs. What that means practically, and how successful any implementation will be, is governed by several factors that we’ll look at together with you:

• Vision and strategy
• Business priorities
• The expected added value: the business case
• The business requirements
• Data quality and data management processes
• Senior management commitment
• Technical implementation

Areas of expertise:

• Data warehousing strategy, and BI architecture:
  How to align “business” and IT? What is the best fit-for-purpose architecture? What technology will be used?
• Business Information Modelling:
  What are the “things that matter for your business” and how do they relate to one another? Do you have agreed and uniform terminology across your organisation, such that terms and definitions are agreed, known and used uniformly throughout the organisation? e.g. is there one definition in your organisation for a “Customer”?
• Data Modelling:
  The Business Information Model will eventually be implemented as technical solutions: How is this best executed?
• Data quality:
  Do we have all data needed for supporting the requirements? Is it available in the required quality for supporting decision making? How can data quality be measured? How can it be related to financial business results?
• Meta-data management:
  Defining and disseminating data about your data. This includes things ranging from the “corporate glossary” or business information model that enables business and technical users to be sure of using the proper agreed terms to technical documentation for dependency analysis, data lineage, etc.
• Execution:
  Technical execution, design and development, project management and program management.

Mastered technology:

• Microsoft
• Oracle (RDMBS, incl. OWB)
• SAS Institute
• Sybase
• Teradata
• IBM Information Server (incl. Data Stage)
• SAP/Business Objects (incl. BODI)