Optimizing Data-to-Learning-to-Action
The Modern Approach to Continuous Performance Improvement for Businesses
- 216 pages
- 8 hours of reading
Apply a powerful new approach to ensure continuous performance improvement for your business. Learn to determine and value the people, processes, and technology-based solutions that optimize your organization's data-to-learning-to-action processes. This book details how to holistically enhance the activities that span from data to learning to decisions to actions, essential for achieving outstanding performance in today's business landscape. By integrating insights from decision science, constraint theory, and process improvement, it offers a clear and effective method applicable across various business functions and sectors. You will discover how to systematically work backwards from decisions to data, estimate the flow of value along the chain, and identify value bottlenecks. Additionally, you will learn techniques for quantifying the value attainable by addressing these bottlenecks, providing credible support for making timely investments. In a dynamic environment filled with disruptive technologies like cloud computing, AI, and big data, this comprehensive approach equips executives to make informed decisions underpinned by quantifiable value. Key takeaways include understanding the fundamental elements of data-to-learning-to-action processes, identifying high-leverage processes, evaluating solution options, and continuously improving by addressing value constraints.