"A very rich book sprinkled with real-life examples as well as battle-tested advice.” —Pierre Haren, VP ILOG, IBM "James does a thorough job of explaining Decision Management Systems as enablers of a formidable business transformation.” —Deepak Advani, Vice President, Business Analytics Products and SPSS, IBM Build Systems That Work Actively to Help You Maximize Growth and Profits Most companies rely on operational systems that are largely passive. But what if you could make your systems active participants in optimizing your business? What if your systems could act intelligently on their own? Learn, not just report? Empower users to take action instead of simply escalating their problems? Evolve without massive IT investments? Decision Management Systems can do all that and more. In this book, the field’s leading expert demonstrates how to use them to drive unprecedented levels of business value. James Taylor shows how to integrate operational and analytic technologies to create systems that are more agile, more analytic, and more adaptive. Through actual case studies, you’ll learn how to combine technologies such as predictive analytics, optimization, and business rules—improving customer service, reducing fraud, managing risk, increasing agility, and driving growth. Both a practical how-to guide and a framework for planning, Decision Management Systems focuses on mainstream business challenges. Coverage includes Understanding how Decision Management Systems can transform your business Planning your systems “with the decision in mind” Identifying, modeling, and prioritizing the decisions you need to optimize Designing and implementing robust decision services Monitoring your ongoing decision-making and learning how to improve it Proven enablers of effective Decision Management Systems: people, process, and technology Identifying and overcoming obstacles that can derail your Decision Management Systems initiative

Why do the people in some companies continually dazzle us with their brilliant decisions while those in others make one blunder after another? Do they understand their businesses better? Are they just plain smarter? Or is it all a matter of luck? The answer, says J. Frank Yates, is none of the above. The real key, rarely recognized, is how the leaders manage the company's decision processes—the leaders' decision management practices. Drawing on his thirty years of research and experience as well as scholarship from psychology, economics, statistics, strategy, medicine, and other fields to explain the fundamental nature of business decision problems, Yates highlights the ten cardinal decision issues crucial to managing the decision-making process—and ultimately better company decisions. He covers problems ranging from recognizing whether a decision is actually called for to assuring that a preferred course of action will be implemented. He shows how solid decisions result when managers ensure that deciders resolve every cardinal issue effectively for every decision problem facing the company. He also reveals how, conversely, chronically poor decisions are traceable to managers allowing—or even creating—conditions that encourage deciders to fall short in how they address at least one of those critical issues.

Regan Keller fell in love with a wealthy and powerful man once. He was her boss. When that turbulent relationship ended, she swore she’d never again date someone she worked with. That was before she literally fell into her new boss’s lap. Zachary Benson is the head of a successful empire and used to getting what he wants in the boardroom and outside of it – and what he wants is Regan Keller. He’s determined to convince Regan that even though he’s her boss, they can share a life together. However, when Regan’s past threatens to destroy the architectural firm Zach has invested his entire career in, he has to make an executive decision whether to choose his business or fight for the woman he loves.

The measure of the executive, Peter Drucker reminds us, is the ability to 'get the right things done'. Usually this involves doing what other people have overlooked, as well as avoiding what is unproductive. He identifies five talents as essential to effectiveness, and these can be learned; in fact, they must be learned just as scales must be mastered by every piano student regardless of his natural gifts. Intelligence, imagination and knowledge may all be wasted in an executive job without the acquired habits of mind that convert these into results. One of the talents is the management of time. Another is choosing what to contribute to the particular organization. A third is knowing where and how to apply your strength to best effect. Fourth is setting up the right priorities. And all of them must be knitted together by effective decision-making. How these can be developed forms the main body of the book. The author ranges widely through the annals of business and government to demonstrate the distinctive skill of the executive. He turns familiar experience upside down to see it in new perspective. The book is full of surprises, with its fresh insights into old and seemingly trite situations.

The modern manager faces a bewildering range of challenges every single day. Their ability to make critical decisions, often under pressure, can directly determine the future success of the company and their career. It is therefore surprising that so few managers take the time to learn the art of decision making. In this groundbreaking book from Caroline Wang, readers will learn that quality decision making is a competence that can be acquired according to a simple framework. The framework is practical and easy-to-remember, consisting of two acronyms: GPA and IPO. GPA for decision content quality (Goal, Priority, Alternatives); and IPO for decision process quality (Information, People, Objective reasoning). The book places emphasis on leading a team to make decisions, even though the framework can be used for personal and individual decisions. By using this common decision-making framework, managers and leaders will gain credibility and team support for the decision, will confidently articulate, promote, and defend the decision, and will have made the necessary preparations for successful implementation when the decision-making process is complete. This proven framework from one of Asia's most dynamic leadership experts will improve the quality of your decisions and change the way you do business.

Why do smart and experienced leaders make flawed, even catastrophic, decisions? Why do people keep believing they have made the right choice, even with the disastrous result staring them in the face? And how can you be sure you're making the right decision--without the benefit of hindsight? Sydney Finkelstein, Jo Whitehead, and Andrew Campbell show how the usually beneficial processes of the human mind can become traps when we face big decisions. The authors show how the shortcuts our brains have learned to take over millennia of evolution can derail our decision making. Think Again offers a powerful model for making better decisions, describing the key red flags to watch for and detailing the decision-making safeguards we need. Using examples from business, politics, and history, Think Again deconstructs bad decisions, as they unfolded in real time, to show how you can avoid the same fate.

Decision-Making Management: A Tutorial and Applications provides practical guidance for researchers seeking to optimizing business-critical decisions employing Logical Decision Trees thus saving time and money. The book focuses on decision-making and resource allocation across and between the manufacturing, product design and logistical functions. It demonstrates key results for each sector with diverse real-world case studies drawn primarily from EU projects. Theory is accompanied by relevant analysis techniques, with a progressional approach building from simple theory to complex and dynamic decisions with multiple data points, including big data and lot of data. Binary Decision Diagrams are presented as the operating approach for evaluating large Logical Decision Trees, helping readers identify Boolean equations for quantitative analysis of multifaceted problem sets. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The final objective is to optimize dynamic decisions with original approaches employing useful tools, including Big Data analysis. Extensive annexes provide useful supplementary information for readers to follow methods contained in the book. - Explores the use of logical decision trees to solve business problems - Uses mathematical optimization techniques to resolve 'big data' or other multi-criteria problems - Provides annexes showcasing application in manufacturing, product design and logistics - Shows case examples in telecommunications, renewable energy and aerospace - Supplies introduction by Benjamin Lev, Editor-in-Chief of Omega, the highest-ranked journal in management science (JCR)

High Growth Handbook is the playbook for growing your startup into a global brand. Global technology executive, serial entrepreneur, and angel investor Elad Gil has worked with high-growth tech companies including Airbnb, Twitter, Google, Stripe, and Square as they’ve grown from small companies into global enterprises. Across all of these breakout companies, Gil has identified a set of common patterns and created an accessible playbook for scaling high-growth startups, which he has now codified in High Growth Handbook. In this definitive guide, Gil covers key topics, including: · The role of the CEO · Managing a board · Recruiting and overseeing an executive team · Mergers and acquisitions · Initial public offerings · Late-stage funding. Informed by interviews with some of the biggest names in Silicon Valley, including Reid Hoffman (LinkedIn), Marc Andreessen (Andreessen Horowitz), and Aaron Levie (Box), High Growth Handbook presents crystal-clear guidance for navigating the most complex challenges that confront leaders and operators in high-growth startups.