Gartner Names Lucidworks as a Leader in Insight Engines Magic Quadrant

We are proud to announce that Lucidworks has moved from the Challengers quadrant in 2017 to the Leaders quadrant in Gartner’s 2018 Magic Quadrant for Insight Engines. Gartner evaluated thirteen vendors for its 2018 Magic Quadrant for Insight Engines research report and placed Lucidworks in the Leaders quadrant based on completeness of vision and ability to execute. Lucidworks believes its strategic approach to product and process has given the firm the ability to execute on projects typically reserved for larger companies in the space.

„Despite decades of hype, the transformative power of Big Data has not been fully realized,“ said Will Hayes, CEO of Lucidworks. „85% of data projects fail to move the needle because they are only built to store, manage, and process data – not provide valuable insights from that data that can be executed on. We take a radically different view of what data means to people. Lucidworks takes a human-centric strategy that connects people with insights when they can best use them. We’re built for action, to maximize every moment, whether it is to delight a customer browsing an online product catalog or a service agent responding to a technical problem.“

The world’s biggest brands rely on Lucidworks Fusion to drive their digital business success. Companies including Verizon, AT&T, Reddit, Red Hat, Moody’s, the US Census and many others. We believe that Lucidworks’ position in the Leaders quadrant showcases Lucidworks’ continued ability to correlate the right data with behavior and intent and forge it into human form that provides clarity for driving every digital moment.

„We have implemented Lucidworks‘ Fusion platform across multiple business functions,“ said Scott Ross, SVP of Omni-Channel Technology at Lowe’s. „Competing in today’s omni-channel world requires a mastery of the volumes of data generated by machines, humans, and systems in real-time and at massive scale. With Fusion, we can focus on exceeding our customers’ expectations, while increasing productivity of our associates, knowing that we have the tools to give us the scale, speed, and data-centric results we need to innovate in an ever-changing retail environment.“