Scott M. Shemwell

Navigating the Data Minefields (eBook, ePUB)

Management's Guide to Better Decision-Making

• Format: ePub

Produktbeschreibung

Volumes have been written on the need for high-quality data to support organizational decision-making. Most of those books appear to focus on the development and sustainment of data from the standpoint of those directly responsible for the management of data stores and the use of technology necessary to acquire, store, and secure data sets.

Navigating the Data Minefields: Management's Guide to Better Decision-Making provides executives and subject matter experts (SMEs) with a "reasonable" set of useful tools they can adapt to their specific organization and operating environment. While complexity can never be taken out of an integrated system, decision-making can be facilitated by using metrics that take into consideration the quality of the data used to make decisions, i.e., risk mitigation.

Professionals who depend on large high-quality data sets, such as senior and mid-level management, engineering SMEs, data scientists, IT, systems engineers, and medical professionals, will want to have this book in their decision-making arsenal.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 13. Juni 2025
• Englisch
• ISBN-13: 9781040350768
• Artikelnr.: 74062300

Autorenporträt

Scott M. Shemwell, Managing Director of The Rapid Response Institute, is an authority and thought leader in field operations and risk management, with over 30 years in the energy sector leading turnaround and transformation processes for global S&P 500 organizations as well as start-up and professional service firms. He has been directly involved in over $5 billion in acquisitions and divestitures as well as the management of significant global projects and multiple business units. He has been a leader in the use of data and information enabling Operational Excellence for over 30 years. Dr. Shemwell earned a BS in physics at North Georgia College, an MBA at Houston Baptist University, and a DBA at Nova Southeastern University.

Inhaltsangabe

1. Introduction. 2. Overview of Data Quality Management. 3. The High
Reliability Organization (HRO). 4. Assessing Data Quality. 5. Risk
Mitigation. 6. Cybersecurity. 7. Economic Value from Investments in Data.
8. Additional Case Studies. 9. Management Roadmap to Sustained High-Quality
Data. 10. Final Thoughts.