From Big Data to Big Profits: Success with Data and AnalyticsTechnological advancements in computing have changed how data is leveraged by businesses to develop, grow, and innovate. In recent years, leading analytical companies have begun to realize the value in their vast holdings of customer data and have found ways to leverage this untapped potential. Now, more firms are following suit and looking to monetize Big Data for big profits. Such changes will have implications for both businesses and consumers in the coming years. In From Big Data to Big Profits, Russell Walker investigates the use of Big Data to stimulate innovations in operational effectiveness and business growth. Walker examines the nature of Big Data and how businesses can use it to create new monetization opportunities. Using case studies of Apple, Netflix, Google, LinkedIn, Zillow, Amazon, and other leaders in the use of Big Data, Walker explores how digital platforms such as mobile apps and social networks are changing the nature of customer interactions and the way Big Data is created and used by companies. Such changes, as Walker points out, will require careful consideration of legal and unspoken business practices as they affect consumer privacy. Companies looking to develop a Big Data strategy will find great value in the SIGMA framework, which he has developed to assess companies for Big Data readiness and provide direction on the steps necessary to get the most from Big Data. Rigorous and meticulous, From Big Data to Big Profits is a valuable resource for students, researchers, and professionals with an interest in Big Data, digital platforms, and analytics |
Other editions - View all
High Tech and High Touch: Headhunting, Technology, and Economic Transformation James E. Coverdill No preview available - 2017 |
Common terms and phrases
ability active data capture advertisement Airbnb algorithms allows Amazon asset owner automation Big Data billboard Blockbuster business models buyers and sellers cellular network computers consumers customer data customer’s data assets data collection data creation data exchange data mining data products Data Science data sets decisions deployed develop digital platform drive eBay economic value enabled enterprise example Facebook firms focus focused Foursquare Google Hadoop high velocity identify improve increase innovation insights interaction Internet of Things investment LinkedIn location-based data Location-Based Services look marketplace measure merchants Mint.com mobile devices monetization monetization strategy Moore’s Law movie needed Netflix offer one’s opportunity passive data capture precision real estate requires retailers risk scale sensors sharing smartphones social media social networks specific tion tomer tracking transactions TripAdvisor users valuable Virgin America Zillow