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SAP Big Data Predictive Analytics: An Overview
Big data analytics is the process of examining large datasetsto uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analyticalfindings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitiveadvantages over rival organizations and other business benefits. Theprimary goal of big dataanalytics is to help companies make more informedbusiness decisions by enabling data scientistspredictive modelers andother analytics professionals to analyze large volumes of transaction data, aswell as other forms of data that may be untapped by conventional businessintelligenceprograms. That could include Web server logs and Internetstreamdata, social media content and social network activity reports, text from customer emails and survey responses, mobile-phone call detailrecords and machine data captured by sensors connected to the Internet ofthings. Big datacan be analyzed with the software tools commonly used as part of advancedanalyticsdisciplines such as predictive analytics, Datamining, Text analyticsandStatistical Analysis. Potentialpitfalls that can trip up organizations on big data analytics initiativesinclude a lack of internal analytics skills and the high cost of hiringexperienced analytics professionals. The amount of information that’s typicallyinvolved, and its variety, can also cause data management headaches, includingdata qualityand consistency issues. In addition, integrating Hadoopsystems and data warehouses can be a challenge, although various vendors nowoffer software connectors between Hadoop and relational databases, as well asother data integration tools with big data capabilities. SAP has whole range of solution for taking care of entire analytics scope-SAP is a registered trademark of SAP A.G, Germany. We have no association with SAP.
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