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Data Leverage: Unlocking the Surprising Growth Potential of Data Partnerships
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About Data Leverage: Unlocking The Surprising Growth
Product Description “We have a ton of DATA, now how do we LEVERAGE it?” The data your company generates is enormously valuable. But without the right strategy, you’ll never unlock that value — and you might even put your company at risk. Data Leverage is the first comprehensive book on the exploding opportunity of corporate data partnerships. The authors, Christian and Jay Ward, are experts -- a business strategist and a lawyer who, together, have executed hundreds of deals. This book has everything you need to make money from data, starting with the DataSmart Method™, a four-step process for building your data partnership strategy. You’ll learn: A comprehensive process to >identify your data assets — both the data your company generates and the data about your company that others maintain. A systematic way to value those assets — so you can tell whether it makes more sense to barter them for other valuable data or build them into million-dollar revenue streams. A complete list of deal structures for data partnerships, including how to gain partners for innovative data streams and how to distribute data through large platforms and channels. An analysis of prudent measures you can take to protect your data, with detailed descriptions of how to write contracts and comply with regulations like Europe's GDPR. This book will open your eyes to the power of data with detailed descriptions of real deals. You’ll see how companies turned unusual data streams – like aerial photographs of retailers’ parking lots, results of customer sales calls, and even their own accounts receivable data – into valuable assets that boosted their companies’ bottom lines. Your company is churning out data every day. Your marketing department is generating ads and leads; your HR department is evaluating resumes; your IT group is tracking customer databases and product information. But without a strategy, it’s just a bunch of ones and zeroes. To leverage that data, you need to find the right partners, make the right deals, maintain privacy controls, and build contracts that will keep you safe and legal. You’ll need the detailed advice in this book as you negotiate with big platforms like Bloomberg, Thomson-Reuters, Dun & Bradstreet, and Amazon. Don’t build data partnerships without a detailed map. Data Leverage is the indispensable reference you need to plan for and negotiate data deals. Keep it close by, and you can get started building whole new sources of value for your company with the data you’re generating every single day. Review " Data Leverage is a revelation. You know your company's data is valuable, but until you read this book, you won't be able to maximize that value. This is your GPS for data deals -- it will get you safely to a very profitable destination. Keep it nearby, because you'll be referring to every step of the way." Josh Bernoff, bestselling author of five business strategy books including Groundswell and Writing Without Bullshit. "There can be no book more packed with practical, common sense guidance than Data Leverage. It is a must read at every level in every industry." Bob Herrmann, President & CEO, Discovery Data "Data is like electricity for businesses: essential to almost every aspect of its operations, but deadly if mishandled. Although data partnerships increase the potential reward, most companies are paralyzed by the increased risk. In Data Leverage, the Ward brothers have created a manual to help you understand the opportunity, navigate the minefield of risks, and unlock the value of data partnerships." Dave Frankland, co-author of Marketing to the Entitled Consumer "The holy grail of data is when you discover your data has value outside of your own organization. Data Leverage by the Ward Brothers provides excellent, practical guidance of how to dissect, understand, and implement your ideal data partnership strategy." Sharon Rowlands, CEO & President, Web.com Group, Inc. "The Ward Brothers tot
