sap business intelligence strategy assessment

#SAP BUSINESS INTELLIGENCE STRATEGY ASSESSMENT HOW TO#
#SAP BUSINESS INTELLIGENCE STRATEGY ASSESSMENT FULL#

We cover the industry use cases along with the benefits realized with business content and where not feasible with use cases implemented for the clients globally. This book is geared toward CxOs, Data Stakeholders, Data Scientists, Data Engineers, Administrators, Business data owners, Enterprise Architects, and project managers who want to get a consolidated overview of the value of SAP Data Intelligence and the other products such as SAP S/4HANA, SAP BW/4HANA, Enterprise HANA, SAP Analytics Cloud, SAP DWC, Non-SAP solutions for data lake to support the digital transformation.

#SAP BUSINESS INTELLIGENCE STRATEGY ASSESSMENT FULL#

This overview should help both new SAP clients and experienced SAP customers irrespective of the type of source systems and type of data to understand the different aspects of components available and to get a full breakdown of the benefits you can realize by adopting SAP Data Intelligence down to technical knowledge needed for installation, set up, configuration, implementation and monitoring with right automation levers. In addition, we’ve identified a need to prepare customers for the use cases around where SAP Data Intelligence stands out compared to other ETL tools available and to provide them with the right setup to put together the business case.

#SAP BUSINESS INTELLIGENCE STRATEGY ASSESSMENT HOW TO#

We also share the experiences we’ve gathered in different client scenarios, as well as challenges and how to address them, with best practices listed along with the business content being defined for SAP Data Intelligence. With this book, we provide a comprehensive overview of the different aspects of SAP Data Intelligence from industry, business, and technical perspectives. We know that there is information available for certain aspects of SAP Data Hub and SAP Data Intelligence, but we believe that other sources only cover a subset of the overall information and that only address a specific audience.

With this shift and prioritization from the organizations towards all the changes introduced in the past years with SAP Data Hub to start with and SAP Data Intelligence in the current context along with the rapid pace of innovations that are coming alongside those changes, there is a need for more detailed information about and experience with SAP Data Intelligence from an architectural point of view which would be critical to achieve the desired strategy. With “Data being the new Oil”, most of the organizations have been focusing on Data & Analytics strategy to establish a data driven platform which can not only help with the consumption of SAP and Non-SAP data sets (structured & un-structured) but also can process it real time based on the data consumed the data insights as well to be able to support the business users for making insight driven decisions to take advantage from the market model than living on traditional multi-platform approach for load and process. This allowed organizations to reduce their implementation, maintenance and ongoing run costs with AI/Machine Learning scenarios while increasing the productivity and flexibility when it comes to cloud-based, and on-premises based deployment options. This is critical for organizations to be able to have one tool to support multiple personas such as a Data Engineer, Data Steward, Analyst, Data Scientist and Administrator. In 2019, SAP made the move to make SAP Data Intelligence as a single stop shop for integration, metadata management (data profiling, data lineage), connectivity, orchestration along with the Machine Learning services which can support both built in and BYOM based scenarios. With the introduction of much more enhanced features along with as a managed service on SAP BTP and On-Premises, SAP Data Hub evolved into what is now known as SAP Data Intelligence. SAP constantly is on an innovation journey to provide the best of services to the organizations and aligned with that vision was SAP Data Hub which was released in 2017 with the primary objective of data orchestration and management based on Kubernetes deployment. Welcome to the first comprehensive guide on SAP Data Intelligence. SAP Data Intelligence – The Comprehensive Guide:

Sap business intelligence strategy assessment