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Winning with Data: Transform Your Culture, Empower Your People, and Shape the Future
Ebook Winning with Data: Transform Your Culture, Empower Your People, and Shape the Future
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Crest the data wave with a deep cultural shift Winning with Data explores the cultural changes big data brings to business, and shows you how to adapt your organization to leverage data to maximum effect. Authors Tomasz Tunguz and Frank Bien draw on extensive background in big data, business intelligence, and business strategy to provide a blueprint for companies looking to move head-on into the data wave. Instrumentation is discussed in detail, but the core of the change is in the culture—this book provides sound guidance on building the type of organizational culture that creates and leverages data daily, in every aspect of the business. Real-world examples illustrate these important concepts at work: you'll learn how data helped Warby-Parker disrupt a $13 billion monopolized market, how ThredUp uses data to process more than 20 thousand items of clothing every day, how Venmo leverages data to build better products, how HubSpot empowers their salespeople to be more productive, and more. From decision making and strategy to shipping and sales, this book shows you how data makes better business. Big data has taken on buzzword status, but there is little real guidance for companies seeking everyday business data solutions. This book takes a deeper look at big data in business, and shows you how to shift internal culture ahead of the curve. Understand the changes a data culture brings to companies Instrument your company for maximum benefit Utilize data to optimize every aspect of your business Improve decision making and transform business strategy Big data is becoming the number-one topic in business, yet no one is asking the right questions. Leveraging the full power of data requires more than good IT—organization-wide buy-in is essential for long-term success. Winning with Data is the expert guide to making data work for your business, and your needs.
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Product details
Hardcover: 176 pages
Publisher: Wiley; 1 edition (June 20, 2016)
Language: English
ISBN-10: 9781119257233
ISBN-13: 978-1119257233
ASIN: 1119257239
Product Dimensions:
6.2 x 0.7 x 9.1 inches
Shipping Weight: 12 ounces (View shipping rates and policies)
Average Customer Review:
4.2 out of 5 stars
33 customer reviews
Amazon Best Sellers Rank:
#308,545 in Books (See Top 100 in Books)
Originally posted at kellysutton.comI had been looking forward to picking up and reading Winning with Data by Tomasz Tunguz and Frank Bien ever since I first heard about the book on tomtunguz.com. This is my review.If you’re looking to get an initial introduction into data-driven companies or how you might bring data-driven thinking to your company, Winning with Data is for you. For deeper dives, you’ll need to supplement this book with other resources.The book is co-authored by Tomasz Tunguz, a partner at Redpoint Ventures, and Frank Bien, the founder of Looker, a business intelligence tool.Tunguz is known in the SaaS world for his daily, invaluable blog posts published at tomtunguz.com. Every day, Mr. Tunguz breaks down different aspects of the market or running a company in a data-centric way. As Winning with Data purports, an effective culture of data-driven decision-making removes the effects of “management by opinion†in companies. Redpoint Ventures is known in the Valley for taking a very analytical approach to their investments, making sure that founders have a strong understanding of *aaS metrics and how those affect the business.Frank Bien is an industry veteran having held roles at Dell, EMC, and others. He created Looker in 2013. Looker is a business intelligence platform deployed by hundreds of companies worldwide. It helps companies make sense of their data.The book is a quick read at 150 pages.What is Data?Data. Data. Data! Data is everything and it is nothing. The book focuses on the pieces of information generated by customer actions: how much revenue did we earn on the Acme Co. account this month? How many times did John Appleseed log in last month?When aggregated, the small questions like this allow companies to build robust data engines around their business. These data engines can be both historical and predictive. In many ways, these engines represent the common knowledge of an individual the business.These are the data points that the Data! rallying cry of the book is built around, and they are the most commonly-found sets in startups.What Should Be the Role of Data?The greatest enemy of business progress is the illusion of knowledge…By inculcating a common set of values, offering the tools and education, and creating a common language, data teams within these businesses empower their colleagues to decide how to advance the company using data, instead of opinions.The book hinges on a central question: What is the role of data in thriving companies, and how does that give them a competitive advantage?Having personally understood the dangers of bad data and the benefits of good data, this is a critical question for any company no matter the size. Some data points are merely historical, while some can be predictive. It’s in the best interest of companies to start developing data warehouses and data pipelines, even if they are rudimentary.The right metrics are the best weapons we have to answer some nebulous questions like “Do we have product-market fit?†or “Should we be spending more on marketing?â€Thankfully, Not an AdvertisementHaving picked up a few books written by VCs, it’s sad that some writings are simply an advertisement for their portfolio. This can water down the message of the book, and perhaps make companies selected for case studies seem random. It can be difficult to tap companies outside of your firm’s portfolio, due to competitive reasons or just due to sheer familiarity.Tunguz and Bien do a relatively good job of preventing the book from becoming an advertisement, given the subject matter; the push for the data robustness they advocate for is relatively new. Of the 45+ companies mentioned in the book, only 5 were Redpoint portfolio companies. (Data!) Some of the companies that were studied more closely were not Redpoint portfolio companies, which was also good to see.That being said, a few too many chapters ended with a “And then the company deployed Looker and all data problems were solved.†Looker receives high marks from the companies that use it, but some more variety would help balance the book a bit more. Because Mr. Bien is the CEO of Looker, bringing objectivity to this matter is no easy task.More Depth RequiredWhile I enjoyed the book, I was left wanting a bit more depth or case studies into the companies mentioned. There are 45+ companies mentioned in the book’s 150 pages. Some companies are covered more in depth than others, but the book moves at a quick clip.Deep dives into a single company around a single metric would take subject matter deeper than blog posts. The following formula should have been employed to achieve further depth: “Company X was struggling and it didn’t know why. After talking around, they realized Metric Z was not up to industry standards. They corrected that and have lived to see another day.â€A better title for this book might be, Companies That Have Won with Data or Companies That Are Winning with Data. I would also love to see the sequel: How to Win with Data. In this vein, I actually thought the appendix on “Revenue Metrics†would be most helpful for someone dipping their toes into building a data fabric for their company.Thankfully, a lot of this depth can be found already on tomtunguz.com as well as elsewhere online. As someone that has operated in companies with data droughts, I’m always on the lookout for that beginner’s guide that could have saved my past self.ConclusionOn the whole, Winning with Data is a good read for anyone looking to bring data to the decision-making process of a company today. It illuminates what types of decisions are made easier with the right data, as well as looking at some quick case studies. If you’re a fan of Mr. Tunguz’s blog, some of the book might seem old hat. Nonetheless, it’s worth a skim and worth keeping an eye out for future editions.
The premise is great, and I am a huge fan of Tom and his blog. But there's something about this book that is a little too much infomercial for me. If they'd toned it down 10% more it could have been great, but as it is, it feels like paid promotional content for Looker just slightly too often.
The theme here is that access to multitudes of data simply is not enough. Using intelligence systems, renewed mindset and culture change all contribute to an evolved decision making paradigm to level-up. These changes contribute to a data-driven workforce who find deeper insights while avoiding the most common data fallacies plaguing progress. As someone who consults and as thought leader in decision making with data for over 15 years in energy, finance and marketing technology, "Winning with Data" delivers the best framework for any business or firm still searching for success leveraging their data assets.I've followed Tomasz's blog for several months and have included those insights into analysis we help to support some of our clients. The book will now be required reading for our prospects, whom we will ask to read before considering to engage with us.
I've read Tomasz's blog for a while and was excited to read his book. While one review critiqued the heavy use of anecdotes , I found the real world examples to be the meat and interest of the book. (Isn't this how all of Malcolm Gladwell books read? A rather simple but important concept illustrated by many in depth real scenarios.) And the examples used are highly relevant and interesting sneak peaks into some of the fastest growing companies of our day. I'd recommend this book to any start up, biz ops, sales, marketing , product team looking to further indoctrinate the culture of data into their day to day and business.
Wish there was less overt advertisement for a specific company he invested in. Tom is a fantastic writer, and shares a ton of great insight across the history of silicon valley, his approach to evaluating companies and how he explores new technology.When you keep pushing a specific product, the education that surrounds that pitching becomes tainted. Based on being a long time fan, I was hoping for a book that would become a must-read for anyone in sales or startups - but unfortunately it doesn't meet legend status.
I've been in the field of "data" for a few years now and have to say most of the stuff written is a lot of hype (big data, blah blah blah). This book was a quick read, but hits some of the reality of what's starting to happen in the space... data pipelines are a mess, big data hasn't delivered, dashboard tools create chaos, and it's more about people and culture if you want to achieve anything real. I liked the use of examples of so many new/smart companies and how they're doing something different -- really changing their industries based on an understanding of what's really happening in their businesses. There are a lot of major obstacles to becoming a data driven company, and this book gives some excellent insights to how to start on the process. I bought a copy for my CEO.
Good survey of basic ideas related to effective use of data in organizations. A good general reader with lots of examples. Short and easy to assimilate the basic information. I added it to a general data literacy reading list for my company.
This book is written in an easy way so it clarify how data changed the modern management of companies. What I expect but I didn't find is to go deeper on Data technical approaches not just highlighting the importance of data.I skimmed the last 2 chapters as I found the idea of each one is simallar to the previous. I would prefer to shrink these contents and go some deeper in technical side of data
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