Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses: 578 (Wiley CIO) - Hardcover

Über die Autorin bzw. den Autor

Considered one of the top sales and marketing executives in the business analytics space, MICHAEL MINELLI is Vice President, Information Services, for MasterCard Advisors. The majority of his sixteen years of analytics industry experience was at SAS, where he spent over eleven years helping clients with large-scale analytic projects related to marketing, risk, supply chain, and finance.

MICHELE CHAMBERS is currently in the Big Data Analytics startup world and was formerly the General Manager & Vice President of Big Data Analytics at IBM, where her team was responsible for working with customers to fully exploit the IBM Big Data Platform.

AMBIGA DHIRAJ is the Head of Client Delivery for Mu Sigma, where she leads their delivery teams to solve high-impact business problems in the areas of marketing, supply chain, and risk analytics for market-leading companies across multiple verticals.

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BIG DATA BIG ANALYTICS

The Age of Big Data Analytics is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. This represents a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability.

Written for business managers and executives who want to make the most out of their information resources, Big Data, Big Analytics strikes a careful balance between high-level strategy and sample code, making an otherwise highly technical topic accessible through stories, metaphors, and analogies. The authors—decision science and analytics experts—describe the enabling technology and illustrate the value of Big Data through industry examples. After introducing the people and corporations who are successfully working with Big Data, the book delves deeper into the organization and the roles it takes to make Big Data successful.

In this user-friendly guide, you'll discover:

• What Big Data is and why it's important
• Industry examples (Financial Services, Healthcare, etc.)
• Big Data and the New School of Marketing
• Fraud, risk, and Big Data
• Big Data technology
• Old versus new approaches
• Open source technology for Big Data analytics
• The Cloud and Big Data
• Predictive analytics
• Crowdsourcing analytics
• Computing platforms, limitations, and emerging technologies
• Consumption of analytics
• Data visualization as a way to take immediate action
• Moving from beyond the tools to analytic applications
• Creating a culture that nurtures decision science talent
• A thorough summary of ethical and privacy issues

The availability of Big Data, low-cost commodity hardware, new information management, and analytic software has produced boundless opportunities for your organization to jump ahead of the competition. Discover how to analyze astonishing data sets quickly and cost-effectively with the tools and strategies found in Big Data, Big Analytics.

Aus dem Klappentext

BIG DATA BIG ANALYTICS

The Age of Big Data Analytics is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. This represents a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability.

Written for business managers and executives who want to make the most out of their information resources, Big Data, Big Analytics strikes a careful balance between high-level strategy and sample code, making an otherwise highly technical topic accessible through stories, metaphors, and analogies. The authors—decision science and analytics experts—describe the enabling technology and illustrate the value of Big Data through industry examples. After introducing the people and corporations who are successfully working with Big Data, the book delves deeper into the organization and the roles it takes to make Big Data successful.

In this user-friendly guide, you'll discover:

• What Big Data is and why it's important
• Industry examples (Financial Services, Healthcare, etc.)
• Big Data and the New School of Marketing
• Fraud, risk, and Big Data
• Big Data technology
• Old versus new approaches
• Open source technology for Big Data analytics
• The Cloud and Big Data
• Predictive analytics
• Crowdsourcing analytics
• Computing platforms, limitations, and emerging technologies
• Consumption of analytics
• Data visualization as a way to take immediate action
• Moving from beyond the tools to analytic applications
• Creating a culture that nurtures decision science talent
• A thorough summary of ethical and privacy issues

The availability of Big Data, low-cost commodity hardware, new information management, and analytic software has produced boundless opportunities for your organization to jump ahead of the competition. Discover how to analyze astonishing data sets quickly and cost-effectively with the tools and strategies found in Big Data, Big Analytics.