Big Data Sap Hana

Topics: Data management, Business intelligence, Data mining Pages: 20 (6226 words) Published: June 8, 2013
Big Data: Trends, Strategies, and SAP Technology
Sponsored by: SAP
Carl W. Olofson Dan Vesset
August 2012
The intelligent economy has arrived. The convergence of intelligent devices, social networking, pervasive broadband communications, and analytics is redefining relationships among producers, distributors, and consumers of goods and services. The growth in volume, variety, and velocity of data has created new challenges and opportunities. The information access, analysis, and management challenges of the intelligent economy can overwhelm organizations unprepared for the emerging changes. In this environment, it is not only access to data but the ability to analyze and act upon it that creates competitive advantage in commercial transactions, enables sustainable and secure management of communities, and promotes appropriate distribution of social, healthcare, and educational services. In This White Paper

This IDC white paper discusses the emerging technologies of the Big Data movement. It breaks out these technologies according to their most effective roles and use cases. It also discusses why Big Data has become so important at this time and how Big Data can help enterprises reach their business goals. It considers the challenges created by Big Data and how they can be met. It identifies the relevant technology offered by SAP and shows how those technologies can help enterprises effectively leverage Big Data to their advantage. Drivers of Big Data: Why Now? What's New?

Commercial and public sector organizations are driven to invest in Big Data solutions for various reasons that span all business processes. Although data generated by social media sites garners the most attention at Big Data conferences and in press articles about Big Data, it is the analysis of operational data that is the biggest driver for using Big Data solutions (see Figure 1). However, putting aside the rank order of the results shown in Figure 1, it is important to recognize that Big Data encompasses a broad domain of business processes, technologies, and types of expertise. As such, Big Data presents almost unlimited opportunities, but with this broad scope also come ambiguity and confusion. Global Headquarters: 5 Speen Street Framingham, MA 01701 USA P.508.872.8200 F.508.935.4015 It is not only access to data but the ability to analyze and act upon it that creates competitive advantage. 2 #236135 ©2012 IDC

F I G U R E 1
T o p Dr i v e r s f o r U s i n g B u s i n e s s I n t e l l i g e n c e , A n a l y t i c s , o r B i g D a t a T e c h n o l o g i e s Q. What are your organization's drivers for using BI, analytics, or Big Data technologies? Unweighted n = 4,177

Source: IDC's 2012 Vertical IT and Communications Survey
Ultimately, Big Data solutions exist to improve decision making and to provide greater insights, faster, to decision makers at all levels of the organization. While some equate the use of Big Data solutions exclusively with the analysis of large amounts of data by data scientists or quantitative analysts, deployments of the various Big Data solutions suggest that opportunities exist across the spectrum of various decision types and for various decision makers.

IDC's Decision Management Framework
One tool to evaluate these opportunities is IDC's Decision Management Framework. This framework can be applied to Big Data use cases and depicts three decision types and four primary variables of each decision type as shown on Figure 2's axes. Strategic decisions have the highest scope and risk because of their long-term horizon and many unknown factors. There are relatively few strategic decisions; they require a high level of collaboration among internal and external decision makers, and they allow for relatively little automation. At the other end of spectrum are tactical decisions made by either frontline employees or systems. There are a lot of these decisions...
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