EverString focuses on data accuracy with its new Data Platform
The predictive analytics firm is claiming accuracy rates for its business data of more than twice the standard rate using its new techniques.
Predictive analytics firms like EverString use computer models to make predictions about which businesses might buy your B2B products and services, based on patterns found in different kinds of data.
As CEO and co-founder JJ Kardwell told me, his company and its competitors had been focused on creating the best computer models they could, and the data they all used was something of a “commodity.” In EverString’s case, it got data about businesses by web crawling, by buying data from providers like Dunn & Broadstreet and by creating data through machine learning, such as classifications.
But, he said, the accuracy left something to be desired. At the scale of millions of accounts, he said, firmographic data generally was only about 42 percent accurate. Here’s the kind of account data EverString needs to generate, in this case about Marketo:
So, about 18 months ago, EverString decided to get into the data business, and this week it’s announcing its Data Platform.
The result, Kardwell claimed, is that EverString is now creating the cleanest source of account-based data on the planet, more than 90 percent accurate across millions of companies.
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