Actuate Corporation (NASDAQ: BIRT), The BIRT Company™ – delivering more insights to more people than all BI companies combined, today announced BIRT Analytics™, a visual data mining and predictive analytics product that dramatically streamlines sophisticated data analysis and puts it in the hands of business users. Francisco J. Margarite, Director General at Inversis Bank says: “Before Quiterian, extracting and analyzing information used to take a considerable amount of our technical experts’ time - and as a consequence we were not providing the appropriate service. Now with BIRT Analytics, we have provided more user autonomy and thus reduced the work overload of IT.” BIRT Analytics provides analysts and business users with agility and advanced functionality to make better, more timely decisions in an age of Big Data by providing them with an intuitive, managed self-service environment for getting their answers. It delivers the ease of use and flexibility of visual data discovery tools with the sophisticated statistics and complex algorithmic power of advanced analytics tools that typically are reserved for data scientists. BIRT Analytics is the latest addition to ActuateOne ®, Actuate’s BIRT-based suite of commercial products, enabling users across the organization to participate in improving vital business processes. “BIRT Analytics is intuitive and fun to work with, so analytics will no longer be seen as a chore. It is also powerful enough to find value in the vast data volumes that users are confronted with today,” said Shaku Atre, Founder and Managing Partner, Atre Group. “The business user being in charge of their own data-driven inquiry finds that this is the only way to speed the time to meaningful insight and pair it with effective actions to separate market leaders from market laggards.” Establishing a Culture of Analytics for Faster Answers Analytics is ultimately about solving business problems. With BIRT Analytics, the business person with the questions is empowered to come up with their own answers – and formulate new questions to explore. By putting the business user in charge, without having to depend on a data scientist or an IT department, analytics becomes more appealing, timely and valuable.