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

Vollenweider, Marc

Rilegato

ISBN 10: 1119302919 ISBN 13: 9781119302919

Casa editrice: John Wiley & Sons Inc, 2016

Riassunto

Decision-makers need the right insight at the right time in the right format, particularly given today’s flow of constant information and data. Mind-only is too slow and too costly. Machine-only rarely delivers the insights needed. Mind+Machine is a modeled guide to making the best decisions possible. You’ll discover how to overcome your biggest strategic obstacles, by achieving the right mindset, focusing on the right data, automating the right processes, creating the right workflow, and more. The book is a navigator for decision-makers in today’s quickly developing world of information overload.

Su questo libro

Informazioni sull?autore

MARC VOLLENWEIDER is co-founder and CEO of Evalueserve, an industry- influencing global research, analytics, and data management solutions provider known for its mind+machine™ process that combines a global network of expert analysts and best-in-class technology. The McKinsey & Co. alum has extensive consulting experience in such industries as telecommunications, banking, and pharmaceuticals.

Dalla quarta di copertina

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

Dal risvolto di copertina interno

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.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 1119302919
• ISBN 13: 9781119302919
• Rilegatura: Copertina rigida
• Numero di pagine: 297
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile