GoodData opens analytics to the new world of messy data

Company launches comprehensive support for analytics of complex and ambiguous data found in today’s reality.

San Francisco, July 24, 2018 - GoodData®, the leader in embedded and distributed analytics, opens analytics to today’s messy and ambiguous data.

90% of data was created in the last two years alone with 2.5 quintillion bytes of data created every single day, and it’s growing exponentially. Today’s data is vastly different than it once was: it’s messy, ambiguous, and unclassifiable. Hashtags and sentiment, IoT and ‘likes’ on social media are the new normal as opposed to the rigid and straightforward financial data that was once the mainstay of data analytics.

GoodData continues to lead in BI innovation, making analytics more pervasive by improving usability and standardizing to support today’s data. This latest release opens analytics to a giant volume of data while improving performance and removing risk.

“Support for complexities of customer data has historically been extremely complicated with no clear best practices,” shares GoodData CEO and co-founder, Roman Stanek. “A Google search displays tens of millions of results illustrating the breadth of this problem and lack of clear answers. GoodData has solved the many-to-many dilemma and made it easy for our customers to adopt.”

GoodData removes the need for business analysts or developers to create workarounds to conduct complex analysis. Users can easily slice and filter to build insights using all types of data, regardless of messiness and ambiguity.