Home - Optimizing Data-To-Learning-To-Action

Home Steven Flinn 2018-05-23T23:12:04+00:00

Overview

In a world increasingly awash in data, in which learning is no longer a term relevant only to humans, but also to machines, and in which disruptive competitive pressures never relent, Optimizing Data-to-Learning-to-Action delivers the powerful new framework and method that ensures continuous performance improvement for today’s businesses. It does for the core of contemporary organizations, knowledge and learning-based activities and processes, what the reengineering revolution did for transactional-based processes a decade or two ago.

Optimizing Data-to-Learning-to-Action describes in detail how to holistically optimize the chain of activities that span from data to learning to decisions to actions, an imperative for achieving outstanding performance in today’s world. Adapting and integrating insights from decision science, constraint theory, and process improvement, Optimizing Data-to-Learning-to-Action provides a methodology that is clear, effective, and can be applied to nearly every business function and sector. It describes how to systematically work backwards from decisions to data, estimating the flow of value along the chain, and identify the inevitable value bottlenecks. And importantly, it provides techniques for determining the value that can be attained by successfully addressing the bottlenecks, providing the credible support that executives need to make the right level of investments at the right place and at just the right time.

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A Powerful New Method for continuous business performance improvement

Effective Decisions

In today’s dynamic environment, with its never-ending stream of new, disruptive technologies that executives must consider (e.g., cloud computing, internet of things, AI/machine learning, business intelligence, enterprise social, etc., along with the associated big data generated), Optimizing Data-to-Learning-to-Action provides the comprehensive approach that is needed for making effective decisions about these technologies, underpinned by strategy and credibly quantified value. But while the dynamism of the technology marketplace tends to grab the headlines, the Optimizing Data-to-Learning-to-Action approach is much more than just about technology. It is about holistically optimizing people, process, and technology aspects across the chain, and doing so on a continuing basis.

Who the book is for

Business executives and managers seeking the next level of organizational performance, knowledge workers who want to maximize their impact, technology managers and practitioners who require a more effective means to prioritize technology options and deployments, technology providers who need a way to credibly quantify the value of their offerings, and consultants who are ready to build practices around the next big business performance paradigm.

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