Great leaders are decisive. Get the skills, knowledge and experience to make sound decisions in a fast-paced environment with our short course.
by Hammond, Keeney, and Raiffa
This is a classic reference on the qualitative and quantitative aspects of decision making. It is an easy read and a good starting point. The authors don’t tell you what to decide, they tell you how. The methods are time-tested and the process is easy. The key lies in seeking out decisions that advance your long-term values, goals and beliefs.
by Daniel Kahneman
Nobel laureate Kahneman discusses the benefits and risks of using intuition for decision-making in this incredibly sharp exploration of the ‘dual-process’ model of the brain. For anyone fascinated by human behaviour and our incredible ability to ignore uncomfortable truths, this book is a delight.
by Thomas H. Davenport
Organizations today use analytics to build a competitive advantage. There is more information out there than ever before, and it is growing every day. Some organisations build their whole strategy around data-driven insights. The real-life examples in this book show you how to harness the full force of analytics.
by Michael Lewis
Much like football fans, baseball fans have always known that the poorer teams don’t have much of a chance against the rich ones. Ostensibly this is about how the Oakland Athletics baseball team used analytics to beat teams with much larger budgets, but anyone interested in the broader subject of human performance will enjoy the journey this book takes them on.
by Thomas H. Davenport
Want to use the power of big data to gain a competitive advantage? This book will tell you why big data is important, the technology you need to manage it, how it could change you, your job and your industry, how to get people to make it work and how to run big data projects. Writing big data off as hype when it arrived on the scene, the author explains what changed his mind.
by Mayer-Schonberger and Cukier
The nature of surveillance has changed, say the authors of this book about the technological aspects of big data. Making the point that analysts need to look at the widest possible swathe of data that surrounds a person, they argue that perhaps today it is not just about who you know, but who they know, and who those people know too.
by Eric Siegel
This one is less for techies and more for lay-readers who need a primer in the latest analytics techniques. Revealing the power and perils of prediction, this book will tell you how predictive analytics affect everyone, every day.
by Albright and Winston
This is a big book about how to build spreadsheet models to make better decisions. Teaching by example, problem sets and case studies bring theory into the real world.
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