Modern Data Warehouse
The modern Data Warehouse is a core enabler for your data strategy, helping you to deploy data solutions with agility and achieve a rapid return on investment. A Data Warehouse needs to be driven by the needs of your business. Its aims should be to identify the information requirements of the business, and then make that information easily accessible.
Once completed, your Data Warehouse will give you:
- a single version of the truth, across your organisation
- the capability to make better-informed, data-driven decisions
- a platform to enable self-service Business Intelligence and analytics
- more value from the data you capture.
How a Data Warehouse works for your business
A Data Warehouse is an enterprise-level application, which requires executive-level support to succeed. A properly constructed and successful Data Warehouse will:
- have enterprise-wide visibility and impact
- support your business’s tactical and strategic decision-making
- enable reporting at the highest levels.
The GRADIS Approach
Traditionally, data warehousing engagements have been seen as highly expensive and slow to deliver value. Our approach overcomes this by prioritising rapid delivery of core reporting needs and growing the data warehouse over time.
It begins with a discovery phase, during which Gradis will help your team to:
- Identify detailed reporting requirements
- Design corresponding Business Intelligence Data Marts
- Capture all properly granulated facts and dimensions required for reporting
- Populate the Data Marts via integration processes
- Couple the Data Marts to the visualisation layer.
At the end of this phase, you will have a Data Mart of your key information – modelled, structured and populated in an underlying platform, available for the BI layer to consume. This will be coupled with a prioritised backlog of data and reporting requirements, and an understanding of the risks and blockers – such as poor data quality – that need to be addressed in future iterations.
GRADIS will then help you to develop a Minimum Viable Product (MVP), with a framework for your Data Warehouse and a platform to build on in subsequent projects. This MVP will act as a platform for future growth of the warehouse and will also provide immediate business value. This platform can then be scaled as required to meet the needs of your business.
