Information is the lifeblood of any business or organisation. This text shows how that information can be captured, stored, processed and used in the most effective and efficient way. Examining information management and its use in decision-making, this book explains and explores the world of information, using practical examples from marketing and operational management as well as personnel and training. The text offers a clear, accessible and comprehensive view of the subject area. It includes a range of pedagogical features including case studies, examples, chapter objectives, exercises,…mehr
Information is the lifeblood of any business or organisation. This text shows how that information can be captured, stored, processed and used in the most effective and efficient way. Examining information management and its use in decision-making, this book explains and explores the world of information, using practical examples from marketing and operational management as well as personnel and training. The text offers a clear, accessible and comprehensive view of the subject area. It includes a range of pedagogical features including case studies, examples, chapter objectives, exercises, chapter conclusions and further reading suggestions to aid student learning. This improved set of learning features and student-friendly style are designed to make this traditionally complex area more accessible. TARGETED AT - CIPD students taking the Managing Information for Competitive advantage module as part of the Leadership and Management standards.
Roland and Frances Bee are Managing Consultants with Time for People, a learning consultancy specialising in information management, learning needs analysis and evaluation. They have worked with a wide variety of public and private sector organisations and are authors of several books published by the CIPD. Their practical experience as statisticians, HR professionals, finance and line managers gives them a unique perspective on the area.
Inhaltsangabe
Section - ONE: Introduction to Information Systems; Chapter - 01: The Philosophy of Managing Information; Chapter - 02: Information Systems Concepts; Chapter - 03: Information Systems for Planning and Organising; Chapter - 04: Information Systems for Review and Control; Chapter - 05: Storing Data; Chapter - 06: The E-Organisation; Chapter - 07: Designing, Developing and Maintaining Your Information System; Chapter - 08: Data Security; Chapter - 09: Information Systems for HR Applications; Chapter - 10: Knowledge Management Systems; Chapter - 11: Looking Ahead; Section - TWO: Introduction to Statistics; Chapter - 12: Tabulations; Chapter - 13: Diagrammatic Methods; Chapter - 14: Numerical Methods; Chapter - 15: Introduction to Probability and Probability Distributions; Chapter - 16: Sampling, Estimation and Inference; Chapter - 17: Hypothesis Testing; Chapter - 18: Regression and Correlation; Chapter - 19: Forecasting and Time Series; Chapter - 20: Index Numbers, Published Indices and Sources of Data; Chapter - 21: Decision Theory; Chapter - 22: Using the Computer
Section - ONE: Introduction to Information Systems; Chapter - 01: The Philosophy of Managing Information; Chapter - 02: Information Systems Concepts; Chapter - 03: Information Systems for Planning and Organising; Chapter - 04: Information Systems for Review and Control; Chapter - 05: Storing Data; Chapter - 06: The E-Organisation; Chapter - 07: Designing, Developing and Maintaining Your Information System; Chapter - 08: Data Security; Chapter - 09: Information Systems for HR Applications; Chapter - 10: Knowledge Management Systems; Chapter - 11: Looking Ahead; Section - TWO: Introduction to Statistics; Chapter - 12: Tabulations; Chapter - 13: Diagrammatic Methods; Chapter - 14: Numerical Methods; Chapter - 15: Introduction to Probability and Probability Distributions; Chapter - 16: Sampling, Estimation and Inference; Chapter - 17: Hypothesis Testing; Chapter - 18: Regression and Correlation; Chapter - 19: Forecasting and Time Series; Chapter - 20: Index Numbers, Published Indices and Sources of Data; Chapter - 21: Decision Theory; Chapter - 22: Using the Computer
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