Tag: SAP

SAP Datasphere and its BW Bridge: a winning team

SAP Datasphere and its BW Bridge: a winning team

Hi there! Welcome to the third stage of our Tour of SAP Datasphere! During this stage we will be tackling a very exciting feature of SAP Datasphere – The BW Bridge. In the Tour De France, riders climb mountains to be rewarded the polka dot jersey. In our tour, we are rewarded with a seamless […]

SAP Data Warehouse Cloud is now SAP Datasphere!

SAP Data Warehouse Cloud is now SAP Datasphere!

SAP has introduced SAP Datasphere as the successor to SAP Data Warehouse Cloud, with a range of new capabilities to improve data discovery, modeling, and distribution. One of the most significant additions is the centralized data catalog, which serves as a repository of all data and metadata, including lineage and governance, ensuring data accuracy, completeness, […]

From meaningless to actionable: revive your data using Data Warehouse Cloud

From meaningless to actionable: revive your data using Data Warehouse Cloud

Hi there! Welcome to the first stage of our Tour of Data Warehouse Cloud! These days it’s rather challenging to keep up with the everchanging and always more demanding world of analytics. Whether you are looking to migrate your data and models from an old-school data warehouse to the cloud or to provide business users […]

Row level security with third-party reporting tools (Power BI) on SAP Data Warehouse Cloud

Row level security with third-party reporting tools (Power BI) on SAP Data Warehouse Cloud

SAP Data Warehouse Cloud is a cloud tool that runs on a HANA database. Although native connectivity with SAP Analytics Cloud exists for reporting and planning, it’s possible to create dashboards with third-party tools (like Power BI) on top of a space in SAP Data Warehouse Cloud. In this article, we are going to explain […]

Tips for importing SAP BW objects from one system to another

Tips for importing SAP BW objects from one system to another

It’s not common and recommended to work directly in a production environment. So, in most of your BW projects, you must import SAP BW objects from one system to another. We usually start working in a development system and transport all our objects from the source to the next target system chosen by the company […]

5 Tips & Tricks for your Business Objects

5 Tips & Tricks for your Business Objects

Hi again, in this short article I’ll go over 5 functions of Business Objects I often used and think are worth spreading the word about. They will highlight the possibilities of WebIntelligence and Analysis for Office You might know none of them or you might know all of them. Even so it would never hurt […]

Atteignez un niveau d’analyse supérieur grâce à SAC Planning !

Atteignez un niveau d’analyse supérieur grâce à SAC Planning !

Atteignez un niveau d’analyse supérieur grâce à SAC Planning ! Sur base des données collectées au sein de leurs entreprises, les dirigeants sont chargés d’avoir une vision globale de leurs activités. Pour pouvoir y parvenir, ces dirigeants sont idéalement accompagnés, et ce par la planification. La planification au sein d’une entreprise est une réelle manière […]

SAP BW (parent/child) hierarchies in Power BI

SAP BW (parent/child) hierarchies in Power BI

SAP BW (parent/child) hierarchies in Power BI Hierarchies are a very powerful concept in the world of data processing and visualization. For anyone working with hierarchies, it’s important to understand the different formats that can exist on DB level, and how they can be handled in the reporting tools. In this blog we’ll specifically look […]

New Planning Area for Data Entry

New Planning Area for Data Entry

New Planning Area for Data Entry In SAP Analytics Cloud, release 2021Q4 (2021.20.12) many new features were introduced. (https://help.sap.com/doc/00f68c2e08b941f081002fd3691d86a7/2021.20/en- US/c96a267c5da04fff90bb55313ee9f77c.html One of these new features was a bit hidden in the background, but of great importance when using SAP Analytics Cloud for Planning. Especially when using Planning on large Data Models with millions of records. […]