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The guide to targeting and leveraging business opportunities using big data & analytics By leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments. The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic. * Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics * Offers the results of research and the author's personal experience in banking, retail, and government * Contains an overview of the visionary ideas and current developments on the strategic use of analytics for business * Covers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysis For organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.Contraportada:
Praise for Analytics in a Big Data World: The EssentialGuide to Data Science and its Applications
"Just by continuously exploiting masses of data, companieslike Google, Facebook, Uber, Waze, Zillow, etc. have been able toshake up traditional operating models and industries. Putting therequired effort and investment in collecting and exploiting newsets of data is simply a must for competitive advantage. The goodnews is that today, thanks to the rapidly evolving field oftechnology, we can collect, store and analyze any type of data atlower cost and faster than ever. With this book, the authorprovides a unique blend of research and business insights into datascience and/or analytics, making it a must read for anyone usingthese technologies to gain sustainable strategicleverage!"
--Sabine Everaet, Europe CIO, The Coca-Cola Company
"Technology companies today, such as eBay, Amazon, andFacebook, touch large volumes of users and generate massive amountsof data, from transactional to behavioral. An understanding of howto extract value from these massive datasets is critical for all ofthese companies' ability to compete for customers. Buildingupon his profound business expertise and knowledge, the authordescribes the real-world application of varied data science andanalytical techniques that would serve as an excellent guide foranalytics professionals as they attempt to use the insightsresiding in the stores of company data to drive decision-making intheir organizations."
--Steve Metz, Senior Director, Global CustomerExperience Finance/Analytics & Collections, eBay
Turn Big Data into Big Opportunities
"Where do we start?" More and more businesses areasking this question as the need to strategically manage dataintensifies. Analytics in a Big Data World addresses theseemingly Herculean task of coming to grips with multiple channelsof data and sculpting them into quantifiable value. This book isfor business professionals who want a focused, practical approachto big data analytics. Analytics researcher Bart Baesens focuses oncase studies, real-world application, and steps for implementation, using theory and mathematical formulas only when necessary.
The number of strategic applications for big data is constantlyexpanding. Analytics in a Big Data World provides anapproach to data that can be used in customer relationshipmanagement, social media, risk management, and beyond. Pastbehavior can predict future trends so that you can react moreeffectively. Learn how to begin describing and predictingcustomers' complex behavioral patterns, and find out how toapply your analysis in ways that have been proven to add value andtarget the bottom line.
Big data sets are assets that can be leveraged quickly andinexpensively. As the science of analytics penetrates everyindustry in every sector, businesses that fail to use their dataassets wisely could fall behind the competition. The flood of newinformation available to businesses has changed the rules ofidentifying new business opportunities. Analytics in a Big DataWorld will help you harness the innovations in data science andaddress the challenges involved in taming big data.
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