Case Study: Array Analytics achieves better investment insights and market-beating returns with DataSift

A DataSift Case Study

Preview of the Array Analytics Case Study

Array Analytics Relies on Datasift to Share the “Wealth of Information” With Brokerage Customers

Array Analytics, a financial services company, needed a better way to capitalize on social data to objectively analyze past and potential trading activity for its brokerage and investment customers. The company turned to DataSift and its single-API social data platform to power its patented “wisdom of crowds” investment research and help make unstructured social signals usable for trading decisions.

DataSift enabled Array Analytics to collect, filter, and aggregate social content from sources like Twitter, with access to billions of historical posts and improved filtering across multiple fields and platforms. The result was a more transparent and efficient research process that saved the equivalent of one full-time employee, helped launch social-sentiment-based funds, and contributed to outperformance versus the market, with Array Analytics’ fund up 2.5% while the market was down about 4%.


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Array Analytics

Frank Lortscher

President and CEO


DataSift

6 Case Studies