Analysis for all

A global partnership to provide intuitive ways for the millions of analysts working in marketing, merchandising and supply chain departments to blend social data with other data sources for advanced analytics has been created by the coming together of data blending and advanced analytics specialist, Alteryx, and DataSift, which provides enterprises with social data platforms.

The pair has integrated their respective product offerings and combined their go-to-market approaches with the aim of delivering filtered and blended social data directly to line-of-business analysts.

“Social media data is critical to decision making - it isn’t just about sentiment analysis any more, it is about blending social insight with other relevant data to be able to drive more revenue,” said Paul Ross, VP of Product Marketing at Alteryx. “With the integration of Alteryx and DataSift, we’re giving every analyst the ability to blend social data with all the other relevant data about their customers, leading to real impact across organisations.”

According to DataSift’s Chief Product Officer, Tim Barker, social data is now transforming decision-making across enterprises. In his view the aggregation of social data with other types of business data can unlock a wealth of key insights about markets, segments and customers.

“The DataSift platform transforms massive unstructured social data into useable, structured data, enabling Alteryx to easily blend it with other enterprise data, perform advanced analytics, and turn data into action and a higher ROI.”

Alteryx Analytics enables analysts to blend all of their relevant data, perform advanced analytics, and share the output with business users. Leveraging the expertise of DataSift to provide complete access to leading social networks and sources like Twitter, Tumblr, Facebook, WordPress, and LexisNexis.

The analytics of blending social and enterprise data is intended to enable deeper business insight across many organisations. This includes retail businesses that need to blend social data with loyalty program and Point of Sale (POS) data to determine the return on their social marketing activity.

Another key example includes telecommunication companies that are adopting ways to analyse social media data with location-specific signal strength data to better track and take action on weaknesses in their network.

Both partners are focused on delivering the value of contemporary data and analytics to the widest possible audience, including through their partnerships with other companies like Tableau.