SAP Extends Reach of Predictive Analytics Portfolio

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    Capitalizing on Big Data: Analytics with a Purpose

    At the SAPinsider BI 2015 conference today, SAP rolled out a comprehensive set of predictive analytics offerings intended to appeal to everyone from the average business user to data scientists.

    Chandran Saravana, senior director of solution marketing for advanced analytics at SAP, says SAP Predictive Analytics 2.0 provides organizations with offerings spanning everything from data preparation to advanced visualization.

    Rather than trying to integrate a hodgepodge of disparate analytics tools, Saravana says SAP has crafted a set of applications that are designed to provide a consistent data model across multiple classes of users.

    For example, running on either the SAP HANA in-memory database platform or a traditional relational database, organizations can employ a modelling environment using the R programming language for both business analysts and data scientists in a matter of days, says Saravana.

    Data Analytics

    To help make that software more accessible to small to midsize businesses (SMBs), SAP also announced SAP Lumira, Edge edition, which is designed to make it simpler to collaborate around a common set of data visualization tools.

    In general, analytics has been something of a free for all, with different departments and business units standardizing on various tools and applications. Now that analytics is increasingly being viewed as a way to make better business decisions faster, SAP is betting that organizations will want an approach that can be more consistently applied all across the business.

    Mike Vizard
    Mike Vizard
    Michael Vizard is a seasoned IT journalist, with nearly 30 years of experience writing and editing about enterprise IT issues. He is a contributor to publications including Programmableweb, IT Business Edge, CIOinsight and UBM Tech. He formerly was editorial director for Ziff-Davis Enterprise, where he launched the company’s custom content division, and has also served as editor in chief for CRN and InfoWorld. He also has held editorial positions at PC Week, Computerworld and Digital Review.

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