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Decision-Making in Management

analysis (MCDA), multidimensional comparative analysis (MCA), decision games and data acquisition techniques for decision making (declarative;

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Business Analytics, Volume I

decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure;

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Statistics, Data Analysis And Decision Modeling

applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and;

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Research and Evaluation for Business

of the text is on decision making based on data analysis. This is a real data, and problem--oriented text that teaches the actual practice;

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Data Science for Business and Decision Making

than existing books by applying data to decision making. Not only is the book useful for undergraduates, but it can also help business owners;

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Decision-Making Management

Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business;

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Quantitative Methods For Business

data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysis;

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Quantitative Methods for Business

data analysis, problem solving and decision making *Interpret and communicate the results of quantitative analysis;

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Business Analytics for Decision Making

three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models;

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Data Analytics for Organisational Development - Unleashing the Potential of Your Data

businesses, making it an increasingly necessary skill for every manager and for all functions across an organisation. Data Analytics for;

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Decision Support, Analytics, and Business Intelligence

an increasing need for technology support of business decision making. Contemporary managers must know much more about information technology;

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Decision Intelligence Analytics and the Implementation of Strategic Business Management

collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Big Data Analytics

. The fourth part of the book examines analytics for marketing decision-making and the roles of big data analytics for market intelligence and;

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Big Data Analytics Using Multiple Criteria Decision-Making Models

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making;

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Big Data Analytics Using Multiple Criteria Decision-Making Models

Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making;

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Beyond Business Analytics

This book explores the role that data analysis plays in the managerial decision-making process. The author presents the notion of beyond;

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Decision Making for Business

, resulting in a critical and comprehensive analysis of decision making. Decision-making for Business presents essential readings concerned with the;

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Decision Making for Business

, resulting in a critical and comprehensive analysis of decision making. Decision-making for Business presents essential readings concerned with the;

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Decision-making for New Product Development in Small Businesses

learning in organizational decision-making, based on novel analysis of empirically developed qualitative data.;

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Decision-making for New Product Development in Small Businesses

learning in organizational decision-making, based on novel analysis of empirically developed qualitative data.;

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Clinical Decision Support

coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and;

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Intelligent Decision Technologies

and Related Topics in Big Data Analysis of Social and Financial Issues Decision-Making Theory for Economics;

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Data Analysis and Decision Making

Master data analysis, modeling, and spreadsheet use with DATA ANALYSIS AND DECISION MAKING WITH MICROSOFT EXCEL! With a teach-by-example;

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A Paraconsistent Decision Making Method

. Decision analysis is useful in making choices when the consequences of actions are uncertain, like in business administration, where it assists;

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Principles & Practices of Engineering & Industrial Economics

scenario analysis for decision making.;

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Handbook of Integrated Risk Management for E-Business

support business processes in project portfolio management, operations management, supply chain management, inventory control, data mining for;

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