Textbook on methodology for the systems design of management information systems and information systems - stresses the need for top management involvement in decision making relating to the computerization of business enterprises, and includes a glossary of terms. Bibliography pp. 228 and 229 and diagrams.

Excerpt from Strategic Data Planning: Lessons From the Field Many large organizations today are finding that even if they can access data from multiple functions, the lack of logical data integration (common data definitions and codes) across information systems makes it difficult or impossible to answer cross-functional or cross-divisional questions. This reduces their ability to take advantage of potential opportunities or respond to business problems. Strategic Data Planning is one methodology which can address such problems, within the general umbrella of information engineering. Resting on the assumption that a relatively stable group of data entities lies at the center of an organization's information processing needs, SDP is a formalized, top-down, data-centered planning approach that builds a model of the enterprise, its functions, and its underlying data as a basis for identifying and implementing an integrated set of information systems. In spite of strong conceptual arguments for the value of the SDP approach and its use in many organizations, empirical researchers have failed to find clear-cut evidence of its general success. This raises the question of whether the approach is universally appropriate. If success is somewhat problematic, are there lessons that can be drawn from actual organizational experience? The purpose of this paper is to report the results of a series of case studies of SDP efforts, to offer insights on the conditions under which SDP is most effective, and to propose directions for future research. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT).

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Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like "big data and "big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans

This is an authoritative and practical guide to collecting, analysing and managing data, to enable managers and companies to develop successful business strategies. Data has become a dominant factor in today's business environment. This book, written by a leading practitioner, explains the underpinning nature of data for a company's business strategy. The book begins with data collection: getting data is no big deal; getting the right data to win in the market is. It moves on to data analysis: turning data into actionable intelligence is what drives and determines competitive advantage. And, finally, managing data: how to organise your data collection and analysis to create winning strategies. This is a definitive book about one of the most important topics in today's digital and data-driven economy.