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Big data analytic represents a huge business opportunity for organizations to innovate
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Big Data • A term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. • Following are the characteristics: • High volume • High velocity • High variety • Big data comes from sensors, devices, video/audio, networks, log files, transactional applications, web, and social media • Much of it generated in real time and in a very large scale.
Big Data Analytics • It is the use of advanced analytic techniques against very large, diverse data sets. • It allows analysts, researchers, and business users to make better and faster decisions using data that was previously inaccessible or unusable. • Using advanced analytics tools like: • Predictive analytics • Data mining • Statistics • Natural language processing • Businesses can analyze previously untapped data sources independent or together with their existing enterprise data to gain new insights resulting faster decisions.
Organizational Use of Big Data • To process and analyze a vast array of information in new ways. • To compete in a globally-integrated economy. • Many organizations consider information to be their most valuable and differentiated asset. • To improve decision-making and performance throughout the enterprise. • To utilize new data, technology and analysis techniques that exist in almost every industry.
Enterprise Data Warehouse • A service offered by the Data Services Department of the Information Services and Technology Division. • Enterprise Data Warehouse consolidates data from multiple sources in support of campus wide decision making. • It is to provide information that is secure, accurate, timely, consistent, integrated, appropriately detailed, well-organized, and easy to obtain.
Big Analytics Appliance • Big Analytics Appliance will make your big data problems manageable. • This Appliance helps executives, business managers, IT managers and analysts leverage breakthrough business insights to: • Take better business decisions resulting in better business results. • Optimize & innovate across business processes with data driven decisions. • Minimize risk, maximize ROI and accelerate time to value with enterprise ready big data solutions.
Conclusion • According to a recent research into large enterprises they use and planned use of big data which indicates that analytics initiatives are becoming a reality in large organizations.
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