Mind+Machine: A Decision Model for Optimizing and Implementing Analytics - Hardcover

Vollenweider, Marc

Hardcover

ISBN 10: 1119302919 ISBN 13: 9781119302919

Publisher: Wiley, 2016

Synopsis

Cut through information overload to make better decisions faster

Success relies on making the correct decisions at the appropriate time, which is only possible if the decision maker has the necessary insights in a suitable format. Mind+Machine is the guide to getting the right insights in the right format at the right time to the right person. Designed to show decision makers how to get the most out of every level of data analytics, this book explores the extraordinary potential to be found in a model where human ingenuity and skill are supported with cutting-edge tools, including automations.

The marriage of the perceptive power of the human brain with the benefits of automation is essential because mind or machine alone cannot handle the complexities of modern analytics. Only when the two come together with structure and purpose to solve a problem are goals achieved.

With various stakeholders in data analytics having their own take on what is important, it can be challenging for a business leader to create such a structure. This book provides a blueprint for decision makers, helping them ask the right questions, understand the answers, and ensure an approach to analytics that properly supports organizational growth.

Discover how to:

• Harness the power of insightful minds and the speed of analytics technology
• Understand the demands and claims of various analytics stakeholders
• Focus on the right data and automate the right processes

·         Navigate decisions with confidence in a fast-paced world

The Mind+Machine model streamlines analytics workflows and refines the never-ending flood of incoming data into useful insights. Thus, Mind+Machine equips you to take on the big decisions and win.

About this title

From the Inside Flap

Big data and artificial intelligence dominate business news coverage, but these are far from singular solutions to any business challenge. At the core of successful decision-making is human instinct driven by experience and information. Mind+Machine is the groundbreaking guide to combining the optimally potent mix of human expertise and state-of-the-art digital machines to enhance a variety of business functions.

This first-of-its-kind guidebook by industry disrupter Marc Vollenweider thoroughly covers the entire end-to-end value chain of analytics. The overabundance of information available today creates real problems for organizations basing competitive decisions on data, and this welcome program fully prepares you to effectively apply mind+machine™ to accomplish tasks aimed at enhancing productivity, time-to-market, quality, and pioneering new capabilities for organizations.

A-to-Z coverage takes you from contemporary definitions of an analytic use case all the way through applying analytics to pay-as-you-go commercial models, leveraging use case synergies, efficiently handling regulatory oversight, and managing individual use cases as well as portfolios of use cases. All the material and advice inside is focused on using analytics to make money and satisfy clients, which means following the framework leads to streamlined solutions requiring less money for IT, shorter development cycles, progressively user-friendly interfaces, and a solid basis for new and profitable use cases.

Whether you're developing sales pitches, research, data products, or any other information-based product or decision tool, the methodology inside accommodates all types of data and information, including qualitative and quantitative; financial, business, and operational; static and dynamic; big and small; and structured and unstructured. This dependable reference quickly fits into your everyday decision-making routine when you start to:

• Maximize ROI from use cases and avoid the pitfalls associated with following the most common industry misconceptions about analytics
• Skillfully adopt all the latest trends influencing how use cases are conceived, designed, applied, and sustained over their lifecycle
• Command a powerful methodology for keeping your internal and external analytics providers transparent and on track

Mind+Machine gives you a tangible path to taking a competitive edge with applied analytics by effectively managing portfolios of profitable use cases with a focus on end-user benefits and accurately measured ROI.

From the Back Cover

Praise for mind+machine

"Mind+Machine is a thought-provoking exploration of data analytics as they stand now. Marc introduces and develops several game-changing concepts, like the Efficient Frontier, Ring of Knowledge, and Use Case Methodology, showing how to apply them for the best possible return on investment. These ideas should be the cornerstone of every organization's approach to data analytics. Written for the generalist with plenty of real-world examples, it's a fascinating read that I couldn't put down."
—Stefan Arn, Global Head of Technology for UBS Wealth Management and UBS Switzerland and Group IT Head for Strategic Regulatory Initiatives

"Mind+Machine provides a much needed antidote for the business leader looking for actionable business insights in a world of information and technology overload. Based on his credentials as adviser to many of the world's top banks, corporations, and professional services firms, as well founder of two industry-disrupting businesses, Marc has a unique perspective on how to combine human expertise with technology to deliver high ROI business results. He simplifies a complex subject, and his approach is supported by over 40 accessible and insightful case studies. A compelling and accessible guide for decision makers and business leaders seeking sustainable competitive advantage in their markets."
—Mark Bidwell, founder of The Innovation Ecosystem, chairman of BC Platforms and director at Terramera

"A very interesting read. It demystifies data analytics with lots of real-world examples on use-cases, best practices and insights from industry. It also offers refreshing business angles of examining the value of analytics in terms of ROI and 'so-what'. Though it is targeted at top managers and decision makers, I find it to be a good read for technical staff, researchers and data analysts. I will use it as part of my research into big data and social media analytics."
—Professor Tat-Seng Chua, KITHCT Chair Professor at the School of Computing, National University of Singapore

Edition details

• Publisher: Wiley
• Publication date: 2016
• ISBN 10: 1119302919
• ISBN 13: 9781119302919
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 320