More related to business intelligence

Lead your organization into the industrial revolution of analytics with The Analytics Revolution

The topics of big data and analytics continue to be among the most discussed and pursued in the business world today. While a decade ago many people still questioned whether or not data and analytics would help improve their businesses, today virtually no one questions the value that analytics brings to the table. The Analytics Revolution focuses on how this evolution has come to pass and explores the next wave of evolution that is underway. Making analytics operational involves automating and embedding analytics directly into business processes and allowing the analytics to prescribe and make decisions. It is already occurring all around us whether we know it or not.

The Analytics Revolution delves into the requirements for laying a solid technical and organizational foundation that is capable of supporting operational analytics at scale, and covers factors to consider if an organization is to succeed in making analytics operational. Along the way, you'll learn how changes in technology and the business environment have led to the necessity of both incorporating big data into analytic processes and making them operational. The book cuts straight through the considerable marketplace hype and focuses on what is really important. The book includes:

An overview of what operational analytics are and what trends lead us to them Tips on structuring technology infrastructure and analytics organizations to succeed A discussion of how to change corporate culture to enable both faster discovery of important new analytics and quicker implementation cycles of what is discovered Guidance on how to justify, implement, and govern operational analytics

The Analytics Revolution gives you everything you need to implement operational analytic processes with big data.

A myriad of security vulnerabilities in the software and hardware we use today can be exploited by an attacker, any attacker. The knowledge necessary to successfully intercept your data and voice links and bug your computers is widespread and not limited to the intelligence apparatus. Consequently, the knowledge required can - at least in part - also easily be accessed by criminals trying to ‘transfer your wealth’ and competitors looking for your trade secrets. The temptation to use these easily accessible resources to the disadvantage of a rival company grows as global competition gets fiercer. Corporate espionage is nothing new, but since the dawn of the Internet Age the rules have changed. It is no longer necessary to be on-site to steal proprietary information. Cyberattacks today are cheap and attackers run a very low risk of getting caught, as attacks can be executed from anywhere in the world - an ideal breeding ground for criminal activities - and the consequences can be disastrous.

In Understanding Cyber Risk: Protecting your Corporate Assets the author provides a wealth of real world examples from diverse industries from all over the world on how company assets are attacked via the cyber world. The cases clearly show that every organization can fall victim to a cyberattack, regardless of the size or country of origin. He also offers specific advice on how to protect core assets and company secrets.

This book is essential reading for anyone interested in cyber security, and the use of cyberattacks in corporate espionage.

Today's most successful companies are Intelligent Companies that use the best available data to inform their decision making. This is called Evidence-Based Management and is one of the fastest growing business trends of our times. Intelligent Companies bring together tools such as Business Intelligence, Analytics, Key Performance Indicators, Balanced Scorecards, Management Reporting and Strategic Decision Making to generate real competitive advantages.

As information and data volumes grow at explosive rates, the challenges of managing this information is turning into a losing battle for most companies and they end up drowning in data while thirsting for insights. This is made worse by the severe skills shortage in analytics, data presentation and communication.

This latest book by best-selling management expert Bernard Marr will equip you with a set of powerful skills that are vital for successful managers now and in the future. Increase your market value by gaining essential skills that are in high demand but in short supply.

Loaded with practical step-by-step guidance, simple tools and real life examples of how leading organizations such as Google, CocaCola, Capital One, Saatchi & Saatchi, Tesco, Yahoo, as well as Government Departments and Agencies have put the principles into practice.

The five steps to more intelligent decision making are:

Step 1: More intelligent strategies – by identifying strategic priorities and agreeing your real information needs Step 2: More intelligent data – by creating relevant and meaningful performance indicators and qualitative management information linked back to your strategic information needs Step 3: More intelligent insights – by using good evidence to test and prove ideas and by analysing the data to gain robust and reliable insights Step 4: More intelligent communication – by creating informative and engaging management information packs and dashboards that provide the essential information, packaged in an easy-to-read way Step 5: More intelligent decision making – by fostering an evidence-based culture of turning information into actionable knowledge and real decisions

"Bernard Marr did it again! This outstanding and practical book will help your company become more intelligent and more successful. Marr takes the fields of business-intelligence, analytics and scorecarding to bring them together into a powerful and easy-to-follow 5-step framework. The Intelligent Company is THE must-read book of our times." Bruno Aziza, Co-author of best-selling book Drive Business Performance and Worldwide Strategy Lead, Microsoft Business Intelligence

"Book after book Bernard Marr is redefining the fundamentals of good business management. The Intelligent Company is a must read in these changing times and a reference you will want on your desk every day!" Gabriel Bellenger, Accenture Strategy

Hewlett Packard is an American icon, the largest information technology company in the world. The bedrock of Silicon Valley, it employs more than 300,000 people, its market capitalization is in excess of 100 billion and its products are in almost every home in the country where there is a printer or computer.

In 2003 the company began a transition from the family management style of its founders. It made a bold statement by hiring as its new CEO the most visible female business executive in America: Carly Fiorina. Less than two years later, the board fired her, amid accusations of imperiousness that had begun damagingly to leak into the business media.

The board at that time included one of Silicon Valley’s most flamboyant venture capitalists and owner of the largest and most expensive yacht in the world, and a former CIA asset who believed he personally channeled the values of the company’s founders. Each had a long and complicated history with HP, and each believed he should determine the company’s future. They ran up against a corporate governance expert whom they could not roll, and a new CEO whose loyalties on the board were entirely opaque. In this way, the stage was set for a rancorous feud that split the board into implacably distrusting factions. In the middle of the damaging schism, HP introduced the Big Lie. The lie was pinned on the chairman, who was receiving treatment for stage 4 ovarian cancer. And it sizzled through a largely unquestioning media.

Anthony Bianco gets to heart of the ethical morass at HP that ended up damning the entire board that created it. Almost every American has an interest in how the country’s greatest corporations are run, and the character of the people entrusted with them. The story of Hewlett-Packard reflects power struggles that shape corporate America and is an alarming morality tale for our times.
The prize-winning book Organizational Intelligence focuses on the structural and ideological roots of intelligence (informational and analytical) failures in government, industry, and other institutions. It provides groundbreaking theory and structure to the analysis of decision-making processes and their breakdowns, as well as the interactions among experts and the organizations they inform. In this book, both "organization" and "intelligence" are taken to their larger meanings, not just focused on the military meaning of intelligence or on one set of institutions in society. Astute illustrations of intelligence failures abound from real-world cases, such as foreign policy (the Bay of Pigs, Soviet predictions in the Cuban missile crisis), military (civilian bombing of Germany, Pearl Harbor), financial (AmEx's investment in a vegetable oil guru), economics (the Council of Economic Advisers) and industrial production (Ford's Edsel), as well as many other telling arenas and disciplines. Economic, cultural, legal, and political contexts are considered, as well as the more known institutions of government and commerce. 

The new Classics of the Social Sciences edition from Quid Pro Books features a 2015 Foreword from Neil J. Smelser, University Professor Emeritus at Berkeley and former chair of its sociology department. He writes that the book remains "one of the classics in organizational studies, and—in ways I will indicate—it is still directly relevant to current and future problems of organizational life. ... What makes this book a classic? It is a disciplined, intelligent, and elegant model of applied social science. ... The text itself, richly documented empirically, yields an informed and balanced account of the decision-making process as this is shaped by the quality of information available (and unavailable) to and used (and not used) by organizational leaders." 

Reviews of the book at the time it was written similarly attest to the originality and breadth of its interdisciplinary analysis. Amitai Etzioni wrote in the American Sociological Review: "This book opens a whole new field — the macrosociology of knowledge. It is as different from the traditional sociology of knowledge as the study of interaction is from that of the structure of total societies." He adds, "The power of Wilensky's contribution is further magnified by his historical perspective. He studies structures and processes, but not in a vacuum." Gordon Craig wrote in The Reporter that the book's examples from organizations "show a similar tendency to believe what they want to believe, to become the victims of their own slogans and propaganda, and to resist or to silence warning voices that challenge their assumptions.... In his fascinating analysis of intelligence failures and their causes ... in the public and private sectors, Wilensky finds that the most disastrous miscalculations are those which have occurred in the field of governmental operations, especially foreign policy and national security." The book explains how such highly institutionalized actors are vulnerable to informational pathologies.

The new digital edition features active Contents, a fully linked Index, linked notes, and proper ebook formatting. It is a modern, quality, and authorized re-presentation of a classic work in social science and organizational studies.

Transforming data into revenue generating strategies and actions

Organizations are swamped with data—collected from web traffic, point of sale systems, enterprise resource planning systems, and more, but what to do with it? Monetizing your Data provides a framework and path for business managers to convert ever-increasing volumes of data into revenue generating actions through three disciplines: decision architecture, data science, and guided analytics. There are large gaps between understanding a business problem and knowing which data is relevant to the problem and how to leverage that data to drive significant financial performance. Using a proven methodology developed in the field through delivering meaningful solutions to Fortune 500 companies, this book gives you the analytical tools, methods, and techniques to transform data you already have into information into insights that drive winning decisions. Beginning with an explanation of the analytical cycle, this book guides you through the process of developing value generating strategies that can translate into big returns. The companion website, www.monetizingyourdata.com, provides templates, checklists, and examples to help you apply the methodology in your environment, and the expert author team provides authoritative guidance every step of the way.

This book shows you how to use your data to:

Monetize your data to drive revenue and cut costs Connect your data to decisions that drive action and deliver value Develop analytic tools to guide managers up and down the ladder to better decisions

Turning data into action is key; data can be a valuable competitive advantage, but only if you understand how to organize it, structure it, and uncover the actionable information hidden within it through decision architecture and guided analytics. From multinational corporations to single-owner small businesses, companies of every size and structure stand to benefit from these tools, methods, and techniques; Monetizing your Data walks you through the translation and transformation to help you leverage your data into value creating strategies.

Every business manager needs intelligence to find suppliers, mobilize capital, win customers and fend off rivals. Obtaining this is often an unplanned, instinctive process. The manager who has a conscious, systematic approach to acquiring intelligence will be better placed to recognize and seize opportunities whilst safeguarding the organization against the competitive risks that endanger its prosperity - and sometimes even its survival. Christopher Murphy's Competitive Intelligence explains: ¢ the theory of business competition ¢ how companies try to get ahead of their rivals ¢ methods of research and sources of information that generate the raw material for creating intelligence ¢ analytical techniques which transform the mass of facts and opinions thus retrieved into a platform of sound, useable knowledge to support informed business decision making. The text includes plenty of examples and experiences from the author's own consulting experience. He draws on a wide variety of disciplines, including literary criticism (or how to read between the lines of company reports, announcements and media stories) and anthropology (understanding corporate culture), as well as the more obvious ones such as financial analysis, management theory and business forecasting techniques. This fusion of insights from many fields of expertise provides a very readable, practical and imaginative framework for anyone seeking to gather and make effective use of market and company data. While focused on the British business environment, the lessons drawn are of universal application, and examples are taken from across the globe. In addition a chapter is devoted to researching industries and companies in other countries. Although primarily concerned with commercial enterprises, many of the principles and techniques will also be of considerable practical relevance to managers in the public sector or not-for-profit organizations. Competitive Intelligence also provides a legal
Why Everyone Needs Analytical Skills

Welcome to the age of data. No matter your interests (sports, movies, politics), your industry (finance, marketing, technology, manufacturing), or the type of organization you work for (big company, nonprofit, small start-up)—your world is awash with data.

As a successful manager today, you must be able to make sense of all this information. You need to be conversant with analytical terminology and methods and able to work with quantitative information. This book promises to become your “quantitative literacy" guide—helping you develop the analytical skills you need right now in order to summarize data, find the meaning in it, and extract its value.

In Keeping Up with the Quants, authors, professors, and analytics experts Thomas Davenport and Jinho Kim offer practical tools to improve your understanding of data analytics and enhance your thinking and decision making. You’ll gain crucial skills, including:

• How to formulate a hypothesis
• How to gather and analyze relevant data
• How to interpret and communicate analytical results
• How to develop habits of quantitative thinking
• How to deal effectively with the “quants” in your organization

Big data and the analytics based on it promise to change virtually every industry and business function over the next decade. If you don’t have a business degree or if you aren’t comfortable with statistics and quantitative methods, this book is for you. Keeping Up with the Quants will give you the skills you need to master this new challenge—and gain a significant competitive edge.

A practical introduction to the necessity of competitive intelligence for smarter business decisions-from a leading CI expert and speaker

In Competitive Intelligence Advantage, Seena Sharp, founder of one of the first Competitive Intelligence firms in the US, provides her expert analysis on the issues and benefits of CI for today's businesses. CI is critical for making smarter business decisions and reducing risks when formulating strategies, leading to more profits and fewer mistakes.

This is a practical guide that explains what CI is, why data is not intelligence, why competitor intelligence is a weak sibling to competitive intelligence, when to use it, how to find the most useful information and turn it into actual intelligence, and how to present findings in the most convincing manner. Importantly, Sharp argues that businesses would benefit from shifting their perspective on CI from viewing it as a cost to viewing it as an investment that saves money and provides immediate value.

Author Seena Sharp is a noted CI expert who established Sharp Market Intelligence in 1979 Addresses all the most common myths and misconceptions about CI Includes more than sixty examples of when to use CI Completely explains the ins and outs of CI, and why your company will act faster and more aggressively with CI

Competitive intelligence is a management tool that is misunderstood and underestimated, yet results in numerous benefits. If you are a senior level executive or operate a business-and you aren't tapping the power of CI to improve your decision making-you are missing a potent advantage.

In this volume, noted experts in a variety of information, business, and management fields offer a comprehensive overview of the role information plays in global business and its impact on competition and competitiveness. At the core of the collection is a common belief in the essential value of information to the modern business and a recognition that the corporate intelligence function must today cope with changing realities produced by both new technology and the globalization of markets. Taking these as their points of departure, the contributors discuss a broad spectrum of corporate intelligence issues ranging from the uses of artificial intelligence and the structure of the corporate intelligence system to the nature of security threats, financial warfare, and corporate risk assessment.

The chapters are divided into five sections and begin with two essays on the emerging interrelated global world order. George Roukis discusses the corporate intelligence process as it embodies the global view, while Hugh Conway shows how modern technology has changed the corporate intelligence function. Three chapters explore the information applications of new technologies, including the use of the computer to further all aspects of corporate intelligence gathering and the emergence of an information industry to serve the needs of intelligence gatherers. The following section contains chapters that address, in turn, the use of intelligence in strategic decisionmaking, coping with bad news, the process of intelligence gathering, and field-marketing intelligence. Turning to a discussion of outside threats to corporate intelligence data security, the contributors examine computer security in general, defense related computer security, and the terrorist threat to corporations. In the final section, the contributors look at a number of strategic challenges. A particularly interesting chapter examines corporate intelligence in Japan; others look at geography and corporate risk assessment, the Soviet foreign intelligence service, and corporate responses to financial warfare. Competitive intelligence and marketing executives, as well as students in international business programs, will find this volume enlightening and provocative reading.

"Vivek Kale has written a great book on performance management that focuses on decision-making; on continuous, incremental improvement; and on identifying common patterns in becoming a more intelligent organization." —James Taylor, CEO of Decision Management Solutions and author of Real-World Decision Modeling with DMN

"Introducing the concepts of decision patterns and performance intelligence, Vivek Kale has written another important book on the issues faced by contemporary organizations."—Gary Cokins, author of Predictive Business Analytics and Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics

Enterprise Performance Intelligence and Decision Patterns

unravels the mystery of enterprise performance intelligence (EPI) and explains how it can transform the operating context of business enterprises. It provides a clear understanding of what EPI means, what it can do, and application areas where it is practical to use.

The need to be responsive to evolving customer needs and desires creates organizational structures where business intelligence (BI) and decision making is pushed out to operating units that are closest to the scene of the action. Closed-loop decision making resulting from a combination of on-going performance management with on-going BI can lead to an effective responsive enterprise; hence, the need for performance intelligence (PI).

This pragmatic book:

Introduces the technologies such as data warehousing, data mining, analytics, and business intelligence systems that are a first step toward enabling data-driven enterprises.

Details decision patterns and performance decision patterns that pave the road for performance intelligence applications. Introduces the concepts, principles, and technologies related to performance measurement systems. Describes the concepts and principles related to balance scorecard systems (BCS). Introduces aspects of performance intelligence for the real-time enterprises.

Enterprise Performance Intelligence and Decision Patterns shows how a company can design and implement instruments ranging from decision patterns to PI systems that can enable continuous correction of business unit behavior so companies can enhance levels of productivity and profitability.

Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results.

In their previous book, Competing on Analytics, Thomas Davenport and Jeanne Harris showed how pioneering firms were building their entire strategies around their analytical capabilities. Rather than "going with the gut" when pricing products, maintaining inventory, or hiring talent, managers in these firms use data, analysis, and systematic reasoning to make decisions that improve efficiency, risk-management, and profits.

Now, in Analytics at Work, Davenport, Harris, and coauthor Robert Morison reveal how any manager can effectively deploy analytics in day-to-day operations—one business decision at a time. They show how many types of analytical tools, from statistical analysis to qualitative measures like systematic behavior coding, can improve decisions about everything from what new product offering might interest customers to whether marketing dollars are being most effectively deployed.

Based on all-new research and illustrated with examples from companies including Humana, Best Buy, Progressive Insurance, and Hotels.com, this implementation-focused guide outlines the five-step DELTA model for deploying and succeeding with analytical initiatives. You'll learn how to:

· Use data more effectively and glean valuable analytical insights
· Manage and coordinate data, people, and technology at an enterprise level
· Understand and support what analytical leaders do
· Evaluate and choose realistic targets for analytical activity
· Recruit, hire, and manage analysts

Combining the science of quantitative analysis with the art of sound reasoning, Analytics at Work provides a road map and tools for unleashing the potential buried in your company's data.
The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace.

An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business.

Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you.

Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.
A Complete Blueprint for Maximizing the Value of Business Intelligence in the Enterprise

The typical enterprise recognizes the immense potential of business intelligence (BI) and its impact upon many facets within the organization—but it’s not easy to transform BI’s potential into real business value. In The New Era of Enterprise Business Intelligence, top BI expert Mike Biere presents a complete blueprint for creating winning BI strategies and infrastructure, and systematically maximizing the value of information throughout the enterprise.

This product-independent guide brings together start-to-finish guidance and practical checklists for every senior IT executive, planner, strategist, implementer, and the actual business users themselves. Drawing on thousands of hours working with enterprise customers, Biere helps decision-makers choose from today’s unprecedented spectrum of options, including the latest BI platform suites and appliances. He offers practical, “in-the-trenches” insights on a wide spectrum of planning and implementation issues, from segmenting and supporting users to working with unstructured data.

Coverage includes

Understanding the scope of today’s BI solutions and how they fit into existing infrastructure Assessing new options such as SaaS and cloud-based technologies Avoiding technology biases and other “project killers” Developing effective RFIs/RFPs and proofs of concept Setting up competency centers and planning for skills development Crafting a better experience for all your business users Supporting the requirements of senior executives, including performance management Cost-justifying BI solutions and measuring success Working with enterprise content management, text analytics, and search Planning and constructing portals, mashups, and other user interfaces Previewing the future of BI
Transform data into action for competitive advantage

"The knowledge assets of an organization are becoming increasingly important for competitive advantage, and therefore, the way in which knowledge is created, renewed, and communicated is critical. This book provides practical insights into how this may be achieved through the establishment of a Business Intelligence Competency Centre and is a valuable read for 'information professionals.'"
--Bill Sturman, Information Architecture Project Manager The Open University, United Kingdom

"BI is more than technology and projects. BI must live in the organization--as a BICC. This book helps to make BI tangible and understandable, bringing it to life."
--Miriam Eisenmann, Project Manager (PMP) CSC Ploenzke AG, Germany

"This book is a must-read for planning and implementing your BICC. It is a pragmatic guide that addresses a lot, if not all, of the questions you'll be asking yourself. Don't miss out on getting a head start from the people who thought this through from start to finish . . . Pray your competitors don't get hold of this book!"
--Claudia Imhoff, President Intelligent Solutions, Inc., USA

"Creating a BICC forces the organization to focus on the importance of centralizing the gathering, interpreting, and analyzing of information to create business insight."
--Anne Ulyate, Group Manager Business Intelligence Mutual & Federal, South Africa

"BI is a highly visible element in the 'business value' trend for IT investments. Initiatives, such as competency centers, should empower user organizations to drive even more value out of their BI investments."
--Marianne Kolding, Director, European ServicesIDC, United Kingdom
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