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Dataiku Raises $14 Million for Its Predictive Application Development Platform

Dataiku has received a $14 million Series A investment to expand its integrated predictive application development platform. The system combines data ingestion, preparation, analysis, visualization, workflow, predictive analytics, collaboration, and deployment. It works on several big data platforms and runs primarily in-house. This is a generic system, not specifically for marketing. But it illustrates the continued maturation of the technologies that underlie CDPs.

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Axway Introduces Next Generation Data Integration and Engagement Platform

November 3, 2016

Axway today announced AMPLIFY, a new data integration and engagement platform. It exposes separate data sources as API-enabled services. It is also introducing a marketplace of prebuilt services and templates to speed application development drawing on the exposed data. Axway started in 2001 as a rules engine and evolved to focus on API-enabled data integration. Its technology is used by more than 11,000 organizations worldwide. Not a CDP because it doesn’t create a unified, persistent database. But API integration does a partial set of CDP capabilities.

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PRO-Smart PROS Introduces Dynamic, Intelligent Cross-Sell into SellingPRO Smart CPQ; Personalizes Customer Buying Experiences

November 1, 2016

Here’s another non-marketing use for customer data: in this case, providing intelligent advice to sales people. PROS offers cloud-based solutions to help with product recommendations, pricing, and deal management; it can advise human agents or feed directly into Web sites. And it uses “advanced data science”…but then again, nowadays, who doesn’t?

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Two-Thirds of C-Suite Can’t Recognize Bad Data: Fivetran Report

December 6, 2021

Like the determined optimist who tells his boss the factory is on fire by reporting they’ll soon be able to update their equipment, let’s find some silver linings in a batch of gloomy surveys today, Dear Reader.  We’ll start with this Fivetran report, which finds that 85% of data leaders say their company has lost money by basing decisions on bad data, and 66% believe their C-suite can’t tell when that happens.  The bright side is there’s lots of room for improvement.

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