Federal, state, and local organizations can easily leverage OpenText Analytics Suite to all their data to empower better and faster decision making. The suite provides self-service analytics allowing employees and citizens to explore their data freely, while at the same time the environment is governed by IT to ensure a secure and scalable data access. Clients can take advantage of both structured and unstructured data sources and integrate data, insight, and informed actions. OpenText Analytics Suite consists of two integrated products—Big Data Analytics and Actuate Information Hub (iHub).
Big data analytics allows clients to combine an analytical columnar database with disparate data sources, with built-in statistical techniques for profiling, mapping, clustering, forecasting, creating decision trees, doing regressions, and correlations.
OpenText is committed to leading the EIM market place, providing analytics to enable a digital-first world
Over the years, OpenText has assisted a number of federal and state governments. In one instance, a major government agency, dealing with transportation safety, faced challenges involving cumbersome development, with limited data sources, and a poor system performance prevented analysis of real-time data. The agency integrated iHub to its existing systems and produced operational dashboards for instant, at-a-glance information from multiple systems, operational and financial databases, and applications. Using iHub, they gained interactive insight into operational information and experienced rapid reduction of development timeframe. “iHub has proven to be a flexible, secure, and reliable solution, and will continue to be an important component of our information delivery strategy going forward,” says the Software Programs Manager of the government agency.
As providing personalized analytics and insights are increasingly becoming critical to end-user adoption and the success of online initiatives, the need for solutions like that from OpenText will keep increasing. Importantly, collecting, storing and processing the data isn’t the complete journey.