Making Data Work - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Making Data Work write by Edosa Odaro. This book was released on 2022-04-03. Making Data Work available in PDF, EPUB and Kindle. In this book, Edosa explores common challenges which limit the value that organisations can get from data. What makes his book unique is that he also tackles one of the unspoken barriers to data adoption—fear. Fear of the unknown, fear of the intangible, fear of the investment needed and, yes, fear of losing your job to a machine. With his talent for distilling clarity from complexity, Edosa tackles this and many other challenges. —Tim Carmichael, Chief Data Officer, Chalhoub Group This book offers fresh insight about how to solve the interactional frictions that hamper the flow of data, information and knowledge across organisations. Yet, rather than being stuck with endless polarising debates such as breaking down silos, it shifts focus back towards the ultimate "to what end." —Jacky Wright, Chief Digital Officer (CDO), Microsoft US If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book. —Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when—at the end of a critical investment in an artificial intelligence project that had been meant to save money—it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer’s production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.
Making DATA Work
Making DATA Work - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Making DATA Work write by Anita Young. This book was released on 2018. Making DATA Work available in PDF, EPUB and Kindle.
Making Data Work
Making Data Work - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Making Data Work write by Anita Young. This book was released on 2013. Making Data Work available in PDF, EPUB and Kindle. "The third edition of "Making DATA Work" aligns with the third edition of "The ASCA National Model: A Framework for School Counseling Programs," which emphasizes the importance of using data to drive school counseling program development, implementation and evaluation. "Making DATA Work" complements the ASCA National Model by providing step-by-step implementation strategies, skill-building activities, examples and resources to help school counselors develop program goals, collect and analyze data and share their findings with key stakeholders"--amazon.com.
Farmer profiling: Making data work for smallholder farmers
Farmer profiling: Making data work for smallholder farmers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Farmer profiling: Making data work for smallholder farmers write by Addison, C.. This book was released on 2017-11-28. Farmer profiling: Making data work for smallholder farmers available in PDF, EPUB and Kindle. The study presented in this report was commissioned by the Technical Centre for Agricultural and Rural Cooperation (CTA) as a member of the Global Open Data for Agriculture & Nutrition (GODAN) initiative, and was conducted by SB Consulting (SBC4D). The objective of the research is to understand the role of farmer organisations (FO) and cooperatives in the agriculture data ecosystem. These organisations have long been recognised to play an important role in society that translates into the improvement of living conditions of their members, particularly the low-income earning population. More than 40% of households in Africa are member of a cooperative society ([ILO-2000]) and the cooperative movement is Africa’s biggest nongovernmental organisation. The key question this report explores is the role of these organisations in the emergent “data revolution.” How can they ensure that this data revolution benefits their members and the smallholder farmers in general, and at the same time contribute to the revolution by providing valuable information to policy makers or other stakeholders of the ecosystem?
The Model Thinker
The Model Thinker - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The Model Thinker write by Scott E. Page. This book was released on 2018-11-27. The Model Thinker available in PDF, EPUB and Kindle. Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.
