sap data
Gain Insights from SAP Data with Qlik and Microsoft
How Greene Tweed reduced time to insights by 65% for SAP data In this latest Data Science Central Webinar, enterprises are inundated with massive amounts of SAP data and challenged to create more consumable insights without increasing headcount or system resources. It is a daunting task to deal with slow systems and manual coding to gain any value from historical data spanning thousands of products, customers, sales history, and the list goes on. In this webinar, you'll hear how global manufacturer Greene Tweed developed an efficient, cost-effective, and logical strategy to connect Qlik Data integration and Microsoft Azure Synapse to build an intelligent supply chain for better business insight. Learn how Greene Tweed addressed their challenges and how they use data liberated from SAP for strategic analytics initiatives. In addition, you will discover: • How to create a plan of attack to extract insights from massive amounts of SAP data • How important change data capture is to building low latency extracts for massive data volumes • Why automation with Qlik Data Integration is crucial to expedite data availability • How SAP data drives insights to optimize Manufacturing & Supply Chain • The gains Greene Tweed realized by moving SAP data to Azure Synapse Register today to start your journey to improving data operations, accelerating reporting, reducing systems overhead and enabling AI operations with Qlik and Azure Synapse.
- Information Technology > Data Science (0.85)
- Information Technology > Artificial Intelligence (0.85)
Home :: Books :: Practical Data Science With Sap: Machine Learning Techniques for Enterprise Data
With this practical guide, SAP veterans Greg Foss and Paul Modderman demonstrate how to use several data analysis tools to solve interesting problems with your SAP data.Data engineers and scientists will explore ways to add SAP data to their analysis processes, while SAP business analysts will learn practical methods for answering questions about the business. By focusing on grounded explanations of both SAP processes and data science tools, this book gives data scientists and business analysts powerful methods for discovering deep data truths.