This is a guest post from Ella Brand, Big Data Solution Specialist for Product Marketing at SAP.
Accepting that every organization today wants to be data-driven, we should all recognize that data flows are nothing else but business workflows without prose. Efficient data operations are key to the agile management of data in the complex enterprise landscapes we live in nowadays.
Yet data management and integrations are still largely manual. Usually, these require expensive involvement of technical consulting along with a good deal of imperturbable calm, or Bierruhe, as we would call it in German. It is time to talk about good reasons to invest in a sophisticated data operations management solution.
Here are the top five reasons why:
Reason 1: You will have a universal view of Big Data across your enterprise. Getting your data operations under control will give you, and those across your company, a consolidated view and control of all data coming in from all sources, covering both business processes and applications.
Reason 2: You will be armed with the intelligence to discover data relationships. Once you are able to improve the quality of your data through cleansing, you will be ready to visualize data correlations and lineage across your entire enterprise. You will able to see relationships in your data that you never knew existed.
Reason 3: You will be able to get more from your data while putting in less work. A sophisticated data operations management solution will allow you to process your distributed data pipeline and refine your data using a variety of computation techniques such as online analytical processing (OLAP), graphs, time series, and machine learning.
Reason 4: You will be able to scale your data operations. A data operations management solution gives you the power to orchestrate your data from end to end. Efficiencies will come from your ability to identify and process data close to where it resides, moving only the results that are absolutely necessary to the use case to avoid expensive data movement.
Reason 5: You can achieve optimal compliance and data governance across your enterprise. You will be able to maintain your security policy dynamically in one place and help ensure that policy measures are in place to meet constantly changing corporate and regulatory requirements, such as GDPR.
Join Us to Discuss Agile Data in Person
Want to learn about SAP’s approach of addressing these top reasons for agile data operations management? Then join us for our ASUG Pre-Conference Session, A Comprehensive Introduction to Managing Complex Data Landscapes with SAP Data Hub.
During this pre-conference session, you will hear from experts like Mike Eacrett, Vice President Product Management, and Marc Hartz, Director of SAP Data Hub Product Management, how to burst your data siloes, reduce data and data processing redundancy, and prevent your data lake from becoming a data swamp. You will learn how to leverage your existing data stores and Enterprise Information Management (EIM) investments with SAP Data Hub. By listening to customer use cases for #SAPDataHub in this session, you will get a head start to all the SAP Big Data sessions at #SAPPHIRENOW.
What is SAP Data Hub?
SAP Data Hub is an enterprise-ready solution that provides governance and orchestration for data refinement and enrichment using pipelining of many complex data processing operations like machine learning. SAP Data Hub harnesses big data processing to create uniquely powerful data pipelines that are based on the serverless computing paradigm. The push-down processing allows the data to be processed at the source where possible. SAP Data Hub is also not limited to connecting SAP products themselves. It explicitly focuses on interactions with other enterprise solutions, big data stores, and open source components.
Register now for the ASUG Pre-Conference Session, Monday, June 4, 2018, A Comprehensive Introduction to Managing Complex Data Landscapes with SAP Data Hub.