As you strive to maximize the value of your data, you must bring together different types of data, combine them leveraging different engines to extract meaningful insights, and then drive operationalized business process changes to extract real value. Achieving data-to-value can be so difficult due to questions from data discovery (what is this data, what does it mean, can I trust it), integration (need to join structured data with unstructured documents or streaming data), and complex data processing (e.g., how to combine Python and R with HANA ML or other predictive models). This creates tension between reaching the aspired agility on one side (with the expected speed, ease of use, and intelligence) and guaranteeing governance on the other side, ensuring the required security, quality, trust, and protection.
In this session, you will learn SAP’s approach to drive automation across the data and analytics lifecycle through automated integration that connects, transforms, processes, and catalogs data across any complex enterprise landscape. You will leave understanding the key benefits of SAP’s Unified Data and Analytics offerings based on the SAP Business Technology Platform. We welcome your questions and enjoy learning about your challenges.