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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.
Big data. --- Management --- Decision making --- Statistical methods. --- Data processing. --- Data sets, Large --- Large data sets --- Data sets --- Big data --- Management - Statistical methods --- Management - Data processing --- Decision making - Data processing --- Statistical methods --- Data processing
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Planning (firm) --- Technology --- Computer security --- Decision making --- Psychological aspects. --- Data processing. --- Social aspects. --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Protection --- Security measures --- Technology - Psychological aspects --- Computer security - Psychological aspects --- Computer security - Social aspects --- Decision making - Data processing
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Planning (firm) --- Decision making --- Planning --- Programming (Mathematics). --- Data processing. --- Recherche opérationnelle. --- Décision multicritère. --- Programmation (mathématiques) --- Prise de décision. --- Operations research. --- Multiple criteria decision making. --- Programming (Mathematics) --- Decision making. --- Data processing --- 519.8 --- 519.8 Operational research --- Operational research --- Mathematical programming --- Goal programming --- Algorithms --- Functional equations --- Mathematical optimization --- Operations research --- Creation (Literary, artistic, etc.) --- Executive ability --- Management --- Organization --- Planning - Data processing --- Decision making - Data processing
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This is an interdisciplinary book for knowledge workers in business, finance, management, and socio-economic sciences. It provides a guide to and techniques for forecasting, decision making, conclusions, and evaluations in an environment involving uncertainty, vagueness, and impression. Traditional modeling techniques do not capture the nature of complex systems especially when humans are involved. Fuzzy logic provides effective tools for dealing with such systems. Emphasis is on applications presented in case studies including Time Forecasting for Project Management, New Product Pricing, Clie
Business forecasting --- Fuzzy logic. --- Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical logic --- Corporate finance --- Decision making --- Fuzzy logic --- System analysis --- Data processing --- E-books --- System analysis. --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Nonlinear logic --- Fuzzy mathematics --- Logic, Symbolic and mathematical --- Fuzzy systems --- Business --- Business forecasts --- Forecasting, Business --- Economic forecasting --- Data processing. --- Forecasting --- System Analysis --- Decision making - Data processing --- Business forecasting - Data processing
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An overview of higher-level decisionmaking and modern methods to improve decision support
Decision support systems. --- Military planning -- United States -- Decision making -- Data processing. --- United States. Air Force -- Research. --- Terrorism --- Terrorism risk assessment --- Federal aid to terrorism prevention --- Criminology, Penology & Juvenile Delinquency --- Social Welfare & Social Work --- Social Sciences --- Prevention --- Planning --- Military planning --- Decision making --- Data processing. --- United States. --- Research. --- War planning --- AF --- Air Force (U.S.) --- U.S.A.F. --- United States Air Force --- US Air Force --- USAF --- Management information systems --- Telematics --- Military administration --- Military policy --- AF (Air force) --- U.S.A.F. (Air force) --- USAF (Air force) --- Diseases --- Public health --- Reporting. --- Information services.
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This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizatio
Clinical medicine -- Decision making -- Data processing. --- Diagnosis -- Decision making -- Data processing. --- Diagnosis --- Clinical medicine --- Thinking --- Medicine --- Patient Care Management --- Information Systems --- Technology --- Medical Records Systems, Computerized --- Medical Informatics --- Organization and Administration --- Health Care Quality, Access, and Evaluation --- Learning --- Health Occupations --- Information Science --- Health Services Administration --- Health Care --- Technology, Industry, and Agriculture --- Mental Processes --- Medical Records --- Records as Topic --- Disciplines and Occupations --- Psychological Phenomena and Processes --- Technology, Industry, Agriculture --- Psychiatry and Psychology --- Data Collection --- Epidemiologic Methods --- Investigative Techniques --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Delivery of Health Care --- Problem Solving --- Clinical Medicine --- Medical Informatics Applications --- Electronic Health Records --- Organizational Innovation --- Automation --- Decision Support Systems, Clinical --- Health & Biological Sciences --- Radiology, MRI, Ultrasonography & Medical Physics --- Decision making --- Data processing --- Data processing. --- Clinical Decision Support --- Decision Support, Clinical --- Clinical Decision Support Systems --- Clinical Decision Supports --- Decision Supports, Clinical --- Support, Clinical Decision --- Supports, Clinical Decision --- Clinical Decision-Making --- Medicine, Clinical --- Diseases --- Examinations, Medical (Diagnosis) --- Medical diagnosis --- Medical examinations (Diagnosis) --- Medical tests (Diagnosis) --- Prognosis --- Symptoms --- Testing --- Clinical Decision Support System
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