DW - Data Warehousing & Modeling
The BI program at Isabel consist of a number of main project iterations. The first two increments concerned mainly the actual platform usage & the expected product usage by customers, next to delivering a detailed insight on the customers of Isabel in terms of various segmentations based on a complexity of business rules within a challenging context. For obvious reasons the BI program and corresponding roadmap is reviewed and thereby re-defined on a frequent basis. Other important information domains and projects delivered are: product integration, a corporate objectives dashboard, an integrated churn & value based model, service calls, various Zoomit related domains and several divisional dashboards. At the same time a BICC was defined and set up.
element61 has been involved -following a BA roadmap- in assisting iMinds with building a data warehouse (based on timeXtender/SQL Server 2012) -and delivering associated Performance Dashboards- that brings together the different business domains including CRM, Finance, Project Monitoring, Human Resources and Publications.
SAP BW 7.3 & BO 4 implementation.
Continuga asked element61 to build out a BI environment. Based on the requirements, the decision was made to implement this BI architecture in a SaaS model.
The BI program at Isabel consist of a number of main project iterations. The first two increments concerned mainly the actual platform usage & the expected product usage by customers.
Mensura have based their BI architecture on the MS BI platform, including the available 3rd party extensions and improvements Targit and TimeXtender. TimeXtender is used as a data warehouse automation tool to speed up the ETL development process, whereas Targit is implemented as a user-friendly front-end – an alternative to MS Excel - on top of MS Analysis Server cubes. Mensura have selected element61 as the partner of choice for support them in all of these technologies.
After the budgeting and the consolidation project at bpost, SAP BPC data needed to flow back to the corporate data warehouse so that it could be analysed against the actual data by a large user community. The technology used was Microsoft stored procedure scripting to retrieve the data from the cubes and send it to the Microsoft data warehouse. Via BusinessObjects Webi, the users can now analyse data in a more efficient manner.