He calls his method sensemaking. Christian Madsbjerg argues that our fixation with data often masks stunning deficiencies, and the risks for humankind are enormous. Christian Madsbjerg argues that our fixation with data often masks stunning deficiencies, and the risks for humankind are enormous. The authors have contributed a series of essays on governing well to Inside Higher Education, which formed the inspiration for this volume. Secondly, after having a heavy dose from Nassim Taleb Fooled by Randomness and The Black Swan , the issues addressed here were largely repetitive. He calls his method sensemaking. Christian Madsbjerg argues that our fixation with data often masks stunning deficiencies, and the risks for humankind are enormous.
Quite a continental philosophy approach, which has its benefits but can also border on the woo-woo. So choose to live in and study the world, not just an interpretation of it. The humanities are key to that, at the same time they are being discounted as important by the leaders of today's preeminent business powers in Silicon Valley, where the humanities are seen as passé. Machines do it for us. You now have a source you can cite with authority, confidence, and credibility.
And, in our interpretation, we can miss a lot. There are a lot of things that can't meaningfully be quantified or directly compared, and any kind of successful entrepreneurial process needs to account for the qualia of human experience. Machines are constructed and developed by humans. The solution to the human problem seems straightforward. And I guess I already agreed with the premise of the importance of arts degrees going in and had actively included liberal arts elements in my Science degree. This is essential reading for anyone in the world of business and everyone with a concern for how human being make sense of their world.
Well, I have no problem with that. In the case of this book, not a lot, I am afraid. Meanwhile, humanities departments are declining because of the greater interest in engineering and the natural sciences, based on the misleading premise that a liberal art degree dooms the graduate to a lower salary. I had started reading the book with the expectation that it would be a serious discussion of a really deep problem: how important is context in our age of big data? It revolves around holistic thinking. T Sensemaking is an interesting and thought-provoking book, which pinpoints the pivotal role of human sciences in driving not only optimal individual but also enterprise-wide performance.
True to their roots they believe that to truly understand any culture one must read their most important books, understand the language and learn firsthand how the people live. ReD is a strategy consulting company based in the human sciences and employs anthropologists, sociologists, art historians, and philosophers. Blind devotion to number crunching imperils our businesses, our educations, our governments, and our life savings. And, in doing so, we lose context. Bashing strawmen you set up may be emotionally rewarding but it must not be confused with serious argumentation.
Still, this work dovetail The message that there is more to algorithms than math is compelling. Overall, the book advocates for the need to better appreciate what humans bring to the world. Nurses and other care providers are often ill-prepared for the heavy toll of their day-to-day workload and find themselves at a crossroads: accept things the way they are or search for a different way. However, the book did not live up to its promise. However, it is the last two chapters - one on navigation although this has the flavour of Blink by Malcolm Gladwell and the l The initial part, well almost 75% of the book, was not so exciting to me interestingly, I pre-ordered this book and bought it.
Madsbjerg trots out specious and hoary arguments against such approaches. Brilliant book on decision-making in a data driven age. It also helps your bottom line. As a result, we have stopped thinking. Instead it used some made up words sensemaking being one of them to show how we can understand the world - nothing different than what humanities and social scientists have known, and shown us, all along.
Thick data - not just thin data; 3. But don't waste time and money on a book that is mostly self-promoting. Whether it's in stock purchasing, training leaders or even in hostage negotiation, adding in the human element wins. We miss out on a sustainable efficiency that comes from holistic thinking, not optimization. Anyone who dreams of leading a company should read it - and heed his wonderfully contrarian advice. The author gives us a most significant lesson for the 21st century: not technology but the humanities are the future.
And he has helped companies put them into practice around the world. You will even learn what phenomenology means! But the most successful 90th percentile earners — they make more than 90 percent of all earners — have degrees in political science, philosophy, drama and history. Both practical and philosophical, Sensemaking is a powerful rejoinder to corporate groupthink and an indispensable resource for leaders and innovators who want to stand out from the pack. The above is a fair point and a valid argument. I think I felt personally affronted at the idea that all data trained folks were so narrow-minded and many of the examples seemed less than charitable early in the book.
In other cases, the results are laughable and the mistakes trivial. If you allow me to make a caricature, the core of his message is that Heidegger provides a better guide to understanding human nature than quantitative analysis given Heidegger's behaviour during Nazism, I am sure he understands a thing or two about opportunism and cowardice. Too many companies have lost touch with the humanity of their customers, while marginalizing workers with liberal arts-based skills. And while the digital world has added to our experience and understanding, it will eventually limit it if we discard the richness of other worlds. Indeed, one of the most controversial promises of big data is that it claims to be able to make accurate predictions without knowledge of the context - see for instance On the other hand, some critics claim that without accurate information on the context, big data makes trivial mistakes that a ten year old human wouldn't.