Algemene Pharmaceutische Bond Business Intelligence project with Qlik element61 provided assistance in the implementation of Qlik for Business Intelligence.
Renson Ventilation QlikSense as a self service BI solution | element61 Renson uses Qlik Sense to collect, analyze, and visualize data from various data sources including the AS400 and some Microsoft based platforms.
Insights Is there room for yet another product in SAP’s financial Consolidation product portfolio? With SAP BPC (BusinessObjects Planning and Consolidation), customers can already benefit from one single platform where management reporting, planning processes and financial consolidation are unified. Bjorn Van Damme Wednesday, 13 March 2019
Case study Data Warehouse Automation As Business Intelligence is becoming mature and more of a commodity, there is pressure to achieve things in a faster & cheaper way.
DPG Media BPC MS & SQL DWH project Together with the merger with Medialaan, De Persgroep started upgrading their MS Dynamics AX 2009 ERP system to the new Microsoft Dynamics 365 system.
Insights Microsoft Power BI on top of SAP Data sources : a winning combo ? Power BI is a Self-service Business Intelligence solution from Microsoft. In this Insight we discuss the approach and the limitations for connecting to SAP Data Sources including SAP HANA, SAP Business Warehouse, SAP BPC cubes and SAP BW4/HANA. Monday, 18 February 2019
Bi-kipedia Lineage key or audit key A Lineage key or audit key is an extra column in a dimension or fact table that has a foreign key relationship to another table in which data about Extract Transfer Load (ETL) processes is maintained. Tuesday, 29 January 2019
Bi-kipedia Hybrid Online Analytical Processing HOLAP storage is a combination of MOLAP and ROLAP. Detail data is kept in the relational data source. But aggregate data and indexes are loaded into MOLAP storage during processing, as shown in figure below. Tuesday, 29 January 2019
Insights How to parallelize your AI scripts using Azure? Parallel Computing is the process of running different tasks at the same time. In training and building AI and Machine Learning, algorithms parallelism is often crucial for the following use-cases. Thursday, 17 January 2019
