Your organisation probably uses, or is considering, a data warehouse (DWH) to supply data to the business so they can make ad-hoc analyses, standard reports and dashboards independently (Self-Service). Traditional DWH-applications are based on ETL (Extract, Transform, Load) to retrieve and process data before loading it into the DWH. Then, the data is made available to the business from the DWH through cubes and datamarts.
This traditional datahousing design requires a lot of manual labour, is difficult to maintain, has limited flexibility and high maintenance costs. Also, as the business demands for new data insights are constantly evolving, the Business Intelligence Competence Center delivering those new data insights is under a lot of time pressure. All this requires a new, innovative approach: Next generation data warehouse solutions automating the setup and maintenance of the data infrastructure.