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English
Morgan Kaufmann Publishers In
13 November 2014
Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease.

You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project.

By:   , , , ,
Imprint:   Morgan Kaufmann Publishers In
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 191mm,  Spine: 10mm
Weight:   340g
ISBN:   9780123971869
ISBN 10:   0123971861
Series:   The Morgan Kaufmann Series on Business Intelligence
Pages:   158
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
1. A New Universe of Data2. Tech Innovations3. Social Platforms4. Valuable Data for the Enterprise5. Accessing the Data6. Social Analytics in the Enterprise7. Social Business Intelligence8. 4 Steps to the Social BI Process9. Social Data Analytics10. Social Media and Network Monitoring11. Real-World Examples12. Your First Project

Shawn Rogers joined Enterprise Management Associates in 2010 as vice president of the business intelligence (BI) practice area. In this role, Rogers delivers comprehensive coverage of the business intelligence and data warehouse technology stack with a focus on database technology, data integration, business intelligence management solutions, reporting, analytics, performance management, as well as emerging technologies such as SaaS BI, embedded BI and social BI. Shawn has more than 19 years of hands-on IT experience, with a focus on Internet- enabled technology. In 2004 he co-founded the BeyeNETWORK and held the position of Executive Vice President and Editorial Director. Shawn guided the company's international growth strategy and helped the BeyeNETWORK grow to 18 Web sites around the world, making it the largest and most read community covering the business intelligence, data warehousing, performance management and data integration space. Prior to co-founding the BeyeNETWORK, Shawn was Internet Business Development Director at Thomson Media (now SourceMedia), President of Achieve Communications and a partner at DMReview magazine (now Information Management) - where he was Vice President as well as Publisher and Editorial Director of DMReview.com, a leading business intelligence and data warehousing Web site. Krish Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions and unstructured Data. A sought after visionary data warehouse thought leader and practitioner, he is ranked as one of the top strategy and architecture consultants in the world in this subject. Krish is also an independent analyst, and a speaker at various conferences around the world on Big Data and teaches at TDWI on this subject. Krish along with other experts is helping drive the industry maturity on the next generation of data warehousing, focusing on Big Data, Semantic Technologies, Crowdsourcing, Analytics, and Platform Engineering. Krish is the founder president of Sixth Sense Advisors Inc., a Chicago based company providing Independent Analyst services in Big Data, Analytics, Data Warehouse and Business Intelligence.

Reviews for Social Data Analytics: Collaboration for the Enterprise

...useful for instrumenting business owners and managers with the basic knowledge to talk to technical staff, and it provides a lot of food for thought. It presents several case studies throughout to illustrate how the concepts can be applied in practice. --Computing Reviews


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