Why is Data Intelligence necessary?

SAP HANA, the first Translytical Data Platform
September 7, 2020
Data and Analytics Trends for 2020
September 7, 2020

Why is Data Intelligence necessary?

Intelligent Enterprises need to gain business value from massive amounts of data to improve internal processes such as fraud prevention, predictive maintenance, and supply chain optimization. However, it is difficult to transform large volumes and varieties of data coming from SAP and non-SAP systems

Your company needs actionable data to enhance customer-facing activities such as pricing, customer churn, up-selling, and promotion optimization that drive growth. Complexity in preparing, cleansing, and delivering quality data from SAP and non-SAP systems for machine learning and Internet of Things (IoT) use cases is one of the biggest challenges. So is the lack of simple, production-ready tools to automate end-to-end processing of all data, such as IoT, social, and raw unstructured data. You must be able to reuse data operations in data-driven applications. Manual, siloed data operations are not effective in delivering required service levels.

SAP Data Intelligence accelerates the development and deployment of AI with an enhanced developer and data science experience, rapid deployment of experimental and production environments, and comprehensive landscape management from a single solution.


  • Discover and connect multiple data types regardless of where the data resides
  • Orchestrate and execute modular data pipelines across distributed infrastructures
  • Refine and reuse audio, image, and video streams and data from devices based on the Internet of Things
  • Optimize governance and minimize compliance risk with robust metadata management rules
  • Design and deploy state-of-the-art AI models using data science tools
  • Get insights into the performance of machine learning models with advanced reporting capabilities
SAP Data Intelligence