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Bart Baesens Analytics in a Big Data World. The Essential Guide to Data Science and its Applications


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.

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Frank Ohlhorst J. Big Data Analytics. Turning Big Data into Big Money


Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities. Reveals big data analytics as the next wave for businesses looking for competitive advantage Takes an in-depth look at the financial value of big data analytics Offers tools and best practices for working with big data Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy.

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Tony Boobier Analytics for Insurance. The Real Business of Big Data


The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.

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Jean-Paul Isson Win with Advanced Business Analytics. Creating Business Value from Your Data


Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and big data have become more and more ubiquitous. While some businesses don't even know where to start, others are struggling to move from beyond basic reporting. In some instances management and executives do not see the value of analytics or have a clear understanding of business analytics vision mandate and benefits. Win with Advanced Analytics focuses on integrating multiple types of intelligence, such as web analytics, customer feedback, competitive intelligence, customer behavior, and industry intelligence into your business practice. Provides the essential concept and framework to implement business analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big data intelligence into your business Companies now operate on a global scale and are inundated with a large volume of data from multiple locations and sources: B2B data, B2C data, traffic data, transactional data, third party vendor data, macroeconomic data, etc. Packed with case studies from multiple countries across a variety of industries, Win with Advanced Analytics provides a comprehensive framework and applications of how to leverage business analytics/big data to outpace the competition.

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Jared Dean Big Data, Data Mining, and Machine Learning. Value Creation for Business Leaders and Practitioners


With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource for technology and marketing executives looking to cut through the hype and produce real results that hit the bottom line. Providing an engaging, thorough overview of the current state of big data analytics and the growing trend toward high performance computing architectures, the book is a detail-driven look into how big data analytics can be leveraged to foster positive change and drive efficiency. With continued exponential growth in data and ever more competitive markets, businesses must adapt quickly to gain every competitive advantage available. Big data analytics can serve as the linchpin for initiatives that drive business, but only if the underlying technology and analysis is fully understood and appreciated by engaged stakeholders. This book provides a view into the topic that executives, managers, and practitioners require, and includes: A complete overview of big data and its notable characteristics Details on high performance computing architectures for analytics, massively parallel processing (MPP), and in-memory databases Comprehensive coverage of data mining, text analytics, and machine learning algorithms A discussion of explanatory and predictive modeling, and how they can be applied to decision-making processes Big Data, Data Mining, and Machine Learning provides technology and marketing executives with the complete resource that has been notably absent from the veritable libraries of published books on the topic. Take control of your organization's big data analytics to produce real results with a resource that is comprehensive in scope and light on hyperbole.

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Kelly McGuire A. The Analytic Hospitality Executive. Implementing Data Analytics in Hotels and Casinos


Targeted analytics to address the unique opportunities in hospitality and gaming The Analytic Hospitality Executive helps decision makers understand big data and how it can drive value in the industry. Written by a leading business analytics expert who specializes in hospitality and travel, this book draws a direct link between big data and hospitality, and shows you how to incorporate analytics into your strategic management initiative. You'll learn which data types are critical, how to identify productive data sources, and how to integrate analytics into multiple business processes to create an overall analytic culture that turns information into insight. The discussion includes the tools and tips that help make it happen, and points you toward the specific places in your business that could benefit from advanced analytics. The hospitality and gaming industry has unique needs and opportunities, and this book's targeted guidance provides a roadmap to big data benefits. Like most industries, the hospitality and gaming industry is experiencing a rapid increase in data volume, variety, and velocity. This book shows you how to corral this growing current, and channel it into productive avenues that drive better business. Understand big data and analytics Incorporate analytics into existing business processes Identify the most valuable data sources Create a strategic analytic culture that drives value Although the industry is just beginning to recognize the value of big data, it's important to get up to speed quickly or risk losing out on benefits that could drive business to greater heights. The Analytic Hospitality Executive provides a targeted game plan from an expert on the inside, so you can start making your data work for you.

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Bill Franks The Analytics Revolution. How to Improve Your Business By Making Analytics Operational In The Big Data Era


Lead your organization into the industrial revolution of analytics with The Analytics Revolution The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not. The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes: An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.

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Marie Lowman A Practical Guide to Analytics for Governments. Using Big Data for Good


Analytics can make government work better—this book shows you how A Practical Guide to Analytics for Governments provides demonstrations of real-world analytics applications for legislators, policy-makers, and support staff at the federal, state, and local levels. Big data and analytics are transforming industries across the board, and government can reap many of those same benefits by applying analytics to processes and programs already in place. From healthcare delivery and child well-being, to crime and program fraud, analytics can—in fact, already does—transform the way government works. This book shows you how analytics can be implemented in your own milieu: What is the downstream impact of new legislation? How can we make programs more efficient? Is it possible to predict policy outcomes without analytics? How do I get started building analytics into my government organization? The answers are all here, with accessible explanations and useful advice from an expert in the field. Analytics allows you to mine your data to create a holistic picture of your constituents; this model helps you tailor programs, fine-tune legislation, and serve the populace more effectively. This book walks you through analytics as applied to government, and shows you how to reap Big data's benefits at whatever level necessary. Learn how analytics is already transforming government service delivery Delve into the digital healthcare revolution Use analytics to improve education, juvenile justice, and other child-focused areas Apply analytics to transportation, criminal justice, fraud, and much more Legislators and policy makers have plenty of great ideas—but how do they put those ideas into play? Analytics can play a crucial role in getting the job done well. A Practical Guide to Analytics for Governments provides advice, perspective, and real-world guidance for public servants everywhere.

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Byron Ellis Real-Time Analytics


Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's «recipe» layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.

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Bill Schmarzo Big Data MBA. Driving Business Strategies with Data Science


Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.

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Analytics in a Big Data World: The Essential Guide to Data ...

Analytics in a Big Data World advances the discussion of big data by moving it out of the theoretical realm and into everyday business practice. It has been said that data is the new oil--an abundant resource of great value. The difference between data and oil, as top analytics researcher Bart Baesens understands, is that everyone has data. In ...

Advanced Analytics in a Big Data World (E ... - Bart Baesens

Advanced Analytics in a Big Data World (E-learning) 📅 Self-Paced E-learning course 🌍 English Overview. Business Knowledge Series course. Presented by Bart Baesens, Ph.D. Professor at the School of Management of the University of Southampton (UK); or Christophe Mues, Ph.D., Professor at the School of Management of the University of Southampton (UK); or Cristian Bravo, Ph.D, Assistant ...

Bart Baesens

Professor Bart Baesens is a professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data & analytics, credit risk modeling, fraud detection, and marketing analytics. On this web page, you'll find:

Analytics in a Big Data World - Bart Baesens

Analytics in a Big Data World The Essential Guide to Data Science and its Applications. Author: Bart Baesens Publisher: Wiley and SAS Business Series Get it on: Amazon | Wiley ISBN-13: 978-1118892701 | ISBN-10: 1118892704 The guide to targeting and leveraging business opportunities using big data & analytics

Analytics in a Big Data World | Wiley Online Books

BART BAESENS is an associate professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom), as well as an internationally known data analytics consultant. He is a foremost researcher in the areas of web analytics, customer relationship management, and fraud detection.

Analytics in a Big Data World: The Essential Guide to Data ...

Analytics in a Big Data World: The Essential Guide to Data Science and its Applications (Wiley and SAS Business Series) by Bart Baesens (2014-05-19) | Bart Baesens | ISBN: | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

Fraud Detection using Analytics in R - Bart Baesens

Fraud Detection using Analytics in R 📅 January 17th-18th, 2019 🌍 English Course description. The Association of Certified Fraud Examiners estimates that fraud costs organizations worldwide $3.7 trillion a year and that a typical company loses five percent of annual revenue due to fraud.

Analytics in a Big Data World: The Essential Guide to Data ...

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.

Publications - Bart Baesens

Caron, Filip, Vanthienen, Jan, & Baesens, Bart. (2013). Healthcare analytics: Examining the diagnosis-treatment cycle. CENTERIS 2013 - Conference on ENTERprise Information Systems / HCIST 2013 - International Conference on Health and Social Care Information Systems and Technologies, 9, 996-1004. Bagheri, E, Gasevic, D, Halle, S, Hatala, M, Nezhad, HRM, & Reichert, M. (2013). Business rule ...

Putting Big Data & Analytics to Work!

• Bart.Baesens@kuleuven.be. Example Publications. Living in a Data Flooded World! Web/email Partners Corporate data Call center Analytics Survey Customers. The Analytics Process Model. Feel the vibe! APPLICATIONS Fraud Detection Social Network Analytics Response Modeling Customer Lifetime Value Market Basket Analysis Churn Prediction Customer Segmentation Web Analytics. Example: marketing ...

Analytics in a Big Data World: The Essential Guide to Data ...

Bart Baesens has accomplished something significant with Analytics in a Big Data World, which delivers an action-oriented guide to staying competitive using the latest analytical models. From the Back Cover A few years ago, big data was little more than a buzzword.

Fraud Analytics (E-learning) - Bart Baesens

Bart Baesens - Site providing an overview of Prof. Dr. Baesens' books, courses, and other works. Bart Baesens. Home; Instructors; Courses; Books; Publications ☰ ← Back to courses. Fraud Analytics (E-learning) 🌍 English. The ACFE, or Association of Certified Fraud Examiners, estimates that a typical organization loses 5% of its revenues to fraud each year. In this course, participants ...

Advanced Analytics in a Big Data World - by Prof Bart Baesens

In this webinar, professor Bart Baesens will discuss the challenges when dealing with multiple channels of data and sculpting them into quantifiable value. Starting from the basic analytical ...

Fraud Analytics - Bart Baesens

Fraud Analytics. Using Supervised, Unsupervised and Social Network Learning Techniques. Authors: Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke Publisher: Wiley Get it on: Amazon ISBN-13: 978-1119133124 | ISBN-10: 1119133122. Detect fraud before damage cascades. Fraud detection is more valuable the sooner it is made, because further losses are prevented, potential recoveries are higher ...

Analytics in a Big Data World von Bart Baesens ...

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: The Essential Guide to Data ...

BART BAESENS is an associate professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom), as well as an internationally known data analytics consultant. He is a foremost researcher in the areas of web analytics, customer relationship management, and fraud detection. His findings have been published in well-known international journals including Machine ...

Analytics in a Big Data World : The Essential Guide to ...

[(Analytics in a Big Data World : The Essential Guide to Data Science and its Applications)] [By (author) Bart Baesens] published on (July, 2014) | Bart Baesens | ISBN: | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

Analytics in a big data world : the essential guide to ...

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 ...

Credit Risk Analytics - Bart Baesens

Bart Baesens - Site providing an overview of Prof. Dr. Baesens' books, courses, and other works. Bart Baesens. Home; Instructors ; Courses; Books; Publications ☰ ← Back to books. Credit Risk Analytics. Measurement Techniques, Applications, and Examples in SAS. Authors: Bart Baesens, Daniel Roesch, Harald Scheule Publisher: Wiley and SAS Business Series Get it on: Amazon ISBN-13: 978 ...

[Download] Analytics in a Big Data World: The Essential ...

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 ...

Data Mining: Emerging Trends, Challenges and Applications

•Bart.Baesens@kuleuven.be. Example Publications. Overview •Big Data & Analytics: setting the stage •Power and premise of Visual Analytics •Visual Analytics and the Analytics process model –Data preprocessing –Model representation –Model usage –Model backtesting •Software •Guidelines •Conclusions. Living in a Data Flooded World! Web/email Partners Corporate data Call ...

Analytics in a Big Data World (eBook, ePUB) von Bart ...

BART BAESENS is an associate professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom), as well as an internationally known data analytics consultant. He is a foremost researcher in the areas of web analytics, customer relationship management, and fraud detection. His findings have been published in well-known international journals including Machine ...

Bart Baesens - professor - K.U.Leuven | LinkedIn

Professor Bart Baesens is a professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data &...

Bart Baesens: "Challenges in Fraud Analytics" 01/18/21 ...

Prof Bart Baesens,Professor of Big Data & Analytics KU Leuvenwww.dataminingapps.com www.bluecou...

Bart Baesens: Analytics in a Big Data World (eBook epub ...

Bart Baesens: Analytics in a Big Data World - The Essential Guide to Data Science and its Applications. Sprache: Englisch. (eBook epub) - bei eBook.de

Analytics in a Big Data World (eBook, PDF) von Bart ...

Bart Baesens Analytics in a Big Data World (eBook, PDF) The Essential Guide to Data Science and its Applications. Leseprobe. Als Download kaufen-28% . 32,99 € Statt 45,99 €** 32,99 € inkl. MwSt. **Preis der gedruckten Ausgabe (Gebundenes Buch) eBook bestellen. Sofort per Download lieferbar. Versandkostenfrei* 0 °P sammeln. Jetzt verschenken-28%. 32,99 € Statt 45,99 €** 32,99 ...

Bart Baesens | DataCamp

Bart Baesens is professor in Analytics and Data Science at the Faculty of Economics and Business of KU Leuven, and a lecturer at the University of Southampton (UK). He has done extensive research on big data & analytics, credit risk analytics and fraud analytics. He regularly tutors, advises and provides consulting support to international firms with respect to their big data, analytics and ...

Analytics In A Big Data World Bart Baesens | biker-village ...

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Bart Baesens | SAS Support

Bart Baesens is an associate professor at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom), as well as an internationally known data analytics consultant. He is a foremost researcher in the areas of web analytics, customer relationship management, and fraud detection.

Prof. dr. Bart Baesens | DataMiningApps

Professor dr. Bart Baesens holds a master’s degree in Business Engineering (option: Management Informatics) and a PhD in Applied Economic Sciences from KU Leuven University (Belgium). He is currently an associate professor at KU Leuven, and a guest lecturer at the University of Southampton (United Kingdom). He has done extensive research on data mining and its applications. From a ...

| BlueCourses

In this course, participants learn the essentials of social network analytics. Starts: Nov 2, 2019. BC5; Starts: LEARN MORE. Recommender Systems. In this course, you will learn the essentials of recommender systems. Starts: Jan 4, 2020. BC7; Starts: LEARN MORE. Customer Lifetime Value Modeling. In this course, you learn the essentials of Customer Lifetime Value Modeling. Starts: Jan 28, 2020 ...

Dr Bart Baesens | Southampton Business School | University ...

Professor Bart Baesens is a professor of Big Data & Analytics at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on big data & analytics, credit risk modeling, fraud detection, and marketing analytics. He co-authored more than 250 scientific papers and 10 books some of which have been translated into Chinese, Japanese ...

Bart BAESENS | Lecturer | PhD in Applied Economic Sciences ...

Bart Baesens When content consumers explicitly judge content positively, we consider them to be engaged. Unfortunately, explicit user evaluations are difficult to collect, as they require user effort.

Bart Baesens - Amazon.com: Online Shopping for Electronics ...

Prof. dr. Bart Baesens is a professor of Big Data and Analytics at KU Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on Big Data & Analytics, Credit Risk Modeling, Fraud Detection and Marketing Analytics. He has written more than 200 scientific papers, some of which have been published in well-known international journals (e.g., MIS Quarterly, Machine Learning, Management Science, MIT Sloan Management Review and IEEE ...

Cloud-Tech-Life – Migration towards cloud computing…..!!

Cloud-Tech-Life – Migration towards cloud computing…..!!

Credit Risk Analytics: Measurement Techniques ...

Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS - Ebook written by Bart Baesens, Daniel Roesch, Harald Scheule. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS.

The big effects of big data | SAS

Analytics in a Big Data World draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in credit risk, marketing and fraud. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, but focuses on analytics techniques that really provide added value in business environments.

Credit Risk Analytics: Measurement Techniques ...

Bart Baesens, Daniel Roesch, Harald Scheule Anteprima limitata - 2016 Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS Bart Baesens Anteprima non disponibile - 2018

‪Bart Baesens‬ - ‪Google Scholar‬

‪KU Leuven‬ - ‪16.016-mal zitiert‬ - ‪Analytics‬ - ‪Big Data‬

Fraud Analytics Using Descriptive, Predictive, and Social ...

BART BAESENS is a full professor at KU Leuven, and a lecturer at the University of Southampton. He has done extensive research on analytics, customer relationship management, web analytics, fraud detection, and credit risk management. He regularly advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy. VÉRONIQUE VAN ...

dblp: Bart Baesens

Eugen Stripling, Bart Baesens, Barak Chizi, Seppe vanden Broucke: Isolation-based conditional anomaly detection on mixed-attribute data to uncover workers' compensation fraud. Decis. Support Syst. 111: 13-26 (2018)

Credit Risk Analytics: Measurement Techniques ...

Credit Risk Analytics: Measurement Techniques, Applications, and Examples in SAS (SAS Institute Inc) | Baesens, Bart, Roesch, Daniel, Scheule, Harald | ISBN: 4708364235408 | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch Amazon.

‎Credit Risk Analytics on Apple Books

Bart Baesens and Others $69.99; $69.99; Publisher Description. The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk ...

SAS Institute Inc: Analytics in a Big Data World ebook ...

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 ...

Credit Risk Analytics SAS Institute Inc ebook | Weltbild.de

eBook Shop: Credit Risk Analytics SAS Institute Inc von Bart Baesens als Download. Jetzt eBook herunterladen & bequem mit Ihrem Tablet oder eBook Reader lesen.

Bart Baesens | The AI & Data Science Community of Belgium

Posted in AXA, Bart Baesens, Belgian Startup, bigdata.be, Brussels Data Science Community, Data Innovation Summit, Data Science Innovation Summit. Tagged #DIS2015, @datasciencebe. Apr · 21. Free webinar on Analytics in a Big Data World by Bart Baesens.

Credit Risk Analytics: The R Companion: 9781977760869 ...

Bart Baesens. 4.3 out of 5 stars 49. Hardcover. $78.82 Credit-Risk Modelling: Theoretical Foundations, Diagnostic Tools, Practical Examples, and Numerical Recipes in Python. David Jamieson Bolder. 4.7 out of 5 stars 11. Hardcover. $73.96 The Handbook of Credit Risk Management: Originating, Assessing, and Managing Credit Exposures. Sylvain Bouteille. 4.1 out of 5 stars 18. Hardcover. $61.68 An ...

Credit Risk Analytics: The R Companion: Amazon.de: Scheule ...

Credit risk analytics in R will enable you to build credit risk models from start to finish. Accessing real credit data via the accompanying website www.creditriskanalytics.net, you will master a wide range of applications, including building your own PD, LGD and EAD models as well as mastering industry challenges such as reject inference, low default portfolio risk modeling, model validation ...

Keith Holdaway Harness Oil and Gas Big Data with Analytics. Optimize Exploration and Production with Data Driven Models


Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits.

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Evan Stubbs Big Data, Big Innovation. Enabling Competitive Differentiation through Business Analytics


A practical guide to leveraging your data to spur innovation and growth Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth – you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation. Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed.

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Dean Abbott Applied Predictive Analytics


Learn the art and science of predictive analytics – techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks that are essential for successful predictive modeling. Hands-on examples and case studies are included. The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to achieve real, pragmatic solutions Explains methods, principles, and techniques for conducting predictive analytics projects from start to finish Illustrates each technique with hands-on examples and includes as series of in-depth case studies that apply predictive analytics to common business scenarios A companion website provides all the data sets used to generate the examples as well as a free trial version of software Applied Predictive Analytics arms data and business analysts and business managers with the tools they need to interpret and capitalize on big data.

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Группа авторов Data Analytics and Big Data


The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book uses software (Excel, SPSS, Python, etc) which can help readers to better understand the analytics process in simple terms and supporting useful methods in its application.

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Бернард Марр Big Data. Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance


Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works – that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results – and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

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Bill Schmarzo Big Data. Understanding How Data Powers Big Business


Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

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John Tanner F. Analytics and Dynamic Customer Strategy. Big Profits from Big Data


Key decisions determine the success of big data strategy Dynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works.

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Michael N. Lewis Transforming Healthcare Analytics


Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively. Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results. This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book: Explores innovative technologies to overcome data complexity in healthcare Highlights how analytics can help with healthcare market analysis to gain competitive advantage Provides strategies for building a strong foundation for healthcare intelligence Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment Discusses the future of technology and focus areas in the healthcare industry Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.

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Dominik Ryzko Modern Big Data Architectures


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James Taylor Leaders and Innovators. How Data-Driven Organizations Are Winning with Analytics


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