Data-Informed Decision Making
Kogan Page Ltd (Verlag)
978-1-3986-1081-1 (ISBN)
Data-Informed Decision Making provides an accessible roadmap on how to navigate common challenges obstructing successful data-informed decision making and culture.
It presents a reliable framework to help ensure there is alignment between what the business needs, what data teams can deliver and where leaders should get involved. It also outlines a process to address the most common biases and psychological resistance to change, both at an individual and organizational culture level and examines the importance of soft skills as well as technical capabilities. Additionally, it advises how organizations can better focus their data resources to ensure they support the most critical, high value business activities.
By leveraging data in a logical and systematic manner, organizations can reduce the impact of complexity, confusion and bias in their decision making. Organizations can also benefit from better alignment between their business and data teams, better cross-team communication channels, more trust, better understanding of challenges and a unified front. This will be invaluable for business and data leaders who need to drive data strategy, decision making and digital transformation in their organizations.
Jason Krantz is CEO and founder of Strategy Titan, a strategic advisory and information product development company, and is based in Chicago, Illinois. He specializes in creating award-winning analytics strategy, capabilities, teams, cultures and solutions that drive tangible revenue and EBITDA improvements. He has over 15 years of business analytics, data science and strategic leadership experience in public and private equity-owned business like ConAgra Foods, Newell Rubbermaid and Ecolab.
Section - ONE: Current state—data is on the outside looking in;
Chapter - 01: Decision making in business today is broken;
Chapter - 02: Common data informed decision making challenges;
Chapter - 03: The digital and data divide;
Chapter - 04: The data and business gap;
Chapter - 05: A data informed decision strategy;
Section - TWO: Data informed decision making process;
Chapter - 06: A framework for better data informed decisions;
Chapter - 07: Step one—think;
Chapter - 08: Step two—search;
Chapter - 09: Step three—see;
Chapter - 10: Step four—plan;
Chapter - 11: Step four—do/act;
Section - THREE: Data informed decision making best practices and challenges;
Chapter - 12: Data informed decision making best practices;
Chapter - 13: Data informed decision making challenges;
Chapter - 14: Next steps to drive data-informed organizational change;
Chapter - 15: Real world examples of data informed decision making across functional areas;
Chapter - Appendix: A data informed decision making cheat sheet
| Erscheint lt. Verlag | 3.12.2023 |
|---|---|
| Vorwort | Jordan Morrow |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| ISBN-10 | 1-3986-1081-X / 139861081X |
| ISBN-13 | 978-1-3986-1081-1 / 9781398610811 |
| Zustand | Neuware |
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