Business Information Management 1st edition by Dr. Vladlena Benson – Kate Davis

business-info-managementInformation management is vital for today’s businesses. It requires significant investment and supports critical business processes. With the proliferation of the information economy and information systems, effective information management determines success of virtually every business operation. Obtaining business value from vast amount of information collected by businesses is no longer only a technological challenge. The choice of decision making tools and information solutions rests with the business, as well as with IT managers. The aim of this book is to assist managers in becoming knowledgeable decision makers in the field of information management and analysis. Why do managers need to understand and participate in forging information strategy of their business? Do they need to be aware of what tools are available to transform information into business intelligence for decision making? After all, it is possible to completely outsource information management processes to a third party. Managers who choose to hand over information analysis solely to technical professionals jeopardise the foundation of their business decisions. Managers today need to be aware of current information analysis methods as well as the latest technology in the information management field to enhance productivity and stay ahead of competitors. This book covers methods of information analysis using relational databases written for current and future managers.

 

In this book the readers will read Goals and philosophy, Key features, Introduction to information management, Data and information, Organizing Data, Information everywhere, Strategy and information systems, Data processing software in an enterprise, Summary, Review questions, Case study: Walmart Harnesses RFID Technology to Improve Efficiency, Relational Data Model and SQL, Scenario – Dream Destinations, The Relational Model, The select statement, Exercises, Data definition in SQL, Data Definition Language (DDL), Data Manipulation Language (DML), DDL and DML activities, Advanced selection queries, Ordering results, Selecting specific rows, Order As and Selection, Joining Tables, Cartesian Product, Exercises – Join, Selection and Projection, Functions, Aggregate and Group-set Functions, Aggregate Functions, Nested Sub-queries, Information Security Management, Internet Security Threats: Known, Unknown and Predicted, Brand Protection on the Internet, Compliance Issues, Frameworks for Control and Security: COBIT, ITIL and ISO 27002 and much more.

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