 are a company that believes that many of the problems related to data are not ones that can be easily solved by computers and algorithms and systems and faster processing of data, but rather are problems that really need to be addressed with how people use data. So our mission at Elation is to enable users to test their hypothesis using all of the data within the organization as easily as it were to use Google today on the web and to do this we have to build a knowledge repository of how users within the organization are actually interacting with the databases and the iTunes. So what we need are computers that can learn from humans implicitly by watching and inferring. The way a baby learns a language not by taking classes but by listening to all the adults talking to each other. Inside of you know very complicated organizations like governments like NGOs like large enterprises finding information is tremendously complex. We have a customer with 3,000 analysts searching over 14 million columns in a data warehouse. How can they find that one thing we need? You've got people that have wonderful amazing expert knowledge but that are really hard to find. You've got systems that are in some cases a decade old or 20 years old that are really hard to discover information inside of. So what we do at Elation is we learn from the implicit signals that experts leave behind as they do their work so the computer can take that knowledge and help make every person in the organization as knowledgeable as all the best experts in that organization put together. We think that innovation essentially comes through insights and insights come through collaboration and through data and we essentially accelerate that process through our software. A couple of attributes that are important for an organization to be innovative are openness to ideas and the desire to improve continuously. We are all about helping people be more data literate helping companies be more insight driven and we believe that that's as much to do with human change as it is to do with systems change. There are already so many people trying to make the world a better place in their respective industries and sectors but to reach that next level they need accessible data. By making data accessible Elation can help them to find new more effective medications or to tailor education to meet the needs of individual students or to move resources from one place to another with fewer trains and trucks or to make better policy decisions through the greatest good for the greatest number. Accessible data helps to make the world a better place.