Data Demystified: How ZoomInfo Data Cubes Lay the Foundation for Enterprise Growth

Today’s new world of insight sales is powered by data. Companies rely on accurate and comprehensive B2B intelligence to identify new opportunities for growth, prospect and prioritize accounts, expand customer intelligence, surface insights, connect with customers, and close more deals.  

For most IT leaders, the more data you have, the better. But all data sets are not created equal.

Companies frequently contend with inaccurate data, and even the first-party data that most businesses collect often proves incomplete or offers low coverage, which makes it difficult to reach growth goals. All this dirty data is a tremendous burden for organizations, causing them an average of $15 million in losses each year.

To solve these common data problems, organizations turn to third-party data providers for very large sets of data delivered via the cloud or flat files. These big “data cubes” augment a company’s first-party data and are used to build a reliable go-to-market data foundation that teams can use for analyzing, predicting, and engaging with the right accounts.

What is a ZoomInfo Data Cube?

ZoomInfo Data Cubes are very large volumes of data — consisting of millions of either account or contact records — created and supplied to each customer’s specifications. They are typically delivered quarterly directly to your cloud data store, such as Google BigQuery, Snowflake, or Amazon S3; or as flat files.

Just as building a home starts with a foundation, building an enterprise database starts with a ZoomInfo Data Cube. Data teams unify these data cubes in their own systems, normalize and enrich them, and then run models to score, segment, and make the data available to users. Supplementing internal databases with third-party data builds confidence that organizations are working with accurate data. It also produces a more diverse, comprehensive data lake.

Data teams can choose ZoomInfo Data Cubes with different information depending on…