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Five Minute Briefing - SAP
February 28, 2018

Published in conjunction with the Independent SAP Technical User Group (formerly the International Sybase User Group), this monthly publication contains news, market research, insight for the SAP user community, as well as ISUG-TECH news and information.

News Flashes

SAP is introducing the latest release of SAP S/4HANA Cloud, 1802, including advanced and more intelligent functionality in machine learning, in-memory analytics, in-context collaboration and more.This, combined and enriched by SAP's digital assistant, is enhancing new innovations for the finance, manufacturing, sales, procurement, and professional services industries.

Registration is now open for Data Summit 2018 presented by DBTA and Big Data Quarterly. For a limited time, super early bird pricing is also available for the conference which will take place May 22 - 23, 2018 at the Hyatt Regency Boston.

Fujitsu has announced two solutions designed to help organizations deploy extremely data-intensive applications needed for their digital transformation, through greatly improving the ease of management for scale-out SAP HANA in-memory database deployments.

SUSE is extending its partnership with Infosys, naming the company a global Solution Partner in the top tier of the SUSE Partner Program. In addition, Infosys has chosen SUSE Linux Enterprise Server for SAP Applications as its preferred platform for SAP HANA Transformation Programs.

SAP unveiled a new consumption-based commercial model for customers to easily acquire and engage SAP Cloud Platform, the company's platform as a service (PaaS). Other updates include the next-generation SAP Cloud Platform SDK for iOS, which allows customers to extend enterprise apps and processes to mobile devices.

Think About It

Cleaning data is no different from many types of maintenance - just as disorganization creates disruptions in life, working with unclean data can be a recipe for disaster for an enterprise. Wasting time searching for clean data, making bad decisions, inefficiently processing functions, and receiving regulatory fines are just a few of the mishaps that can confront an organization with dirty data.