External data collaborations were once thought of as nice to have or strictly the purview of companies with limited first-party data and deep analytics resources. However, less access to data has prompted all types of companies to kick-start data partnership conversations and reevaluate their core marketing infrastructure. In refer, data has a significant impact on business.
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.External data collaborations were once thought of as nice to have or strictly the purview of companies with limited first-party data and deep analytics resources. However, less access to data has prompted all types of companies to kick-start data partnership conversations and reevaluate their core marketing infrastructure. In refer, data has a significant impact on business.
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 wheth
