OpenText Analytics - Big Data Solutions/Service Company

OpenText Analytics: Enhancing Real time Business Decisions

Mark J. Barrenechea, CEO & CTO, OpenText AnalyticsMark J. Barrenechea, CEO & CTO
With the proliferation of various technologies to process big data cost-effectively, government agencies are exploring new ways to optimize costs, decrease inefficiency, and increase productivity. Meanwhile, CIOs today are under increasing pressure to “do more with big data”. The myriad financial benefits of accessing and analyzing big data created in various facets of government operations have a positive impact on the overall performance. Advances in technology and massive increases in available data have the potential to both challenge and transform performances of various government projects. This is where OpenText Analytics comes in. As a leader in Enterprise Information Management (EIM), the company addresses business needs by turning data into better insights and informed actions through its Analytics Suite. “OpenText is committed to leading the EIM marketplace, providing analytics to enable a digital-first world,” says Mark J. Barrenechea, CEO and CTO, OpenText.

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

Users can get a 360 degree view of their business, explore numerous records in seconds, and apply advanced and predictive analytics techniques all in a drag-and-drop experience, with no complex data modeling or coding required. On the other hand, iHub includes an integrated platform, OpenText Analytics and Reporting which helps in designing, deploying, and displaying analytics applications. It provides Federal IT with dashboards, reporting, and data visualization for large and complex applications. The analytics and reporting platform’s certified, scalable architecture can integrate many data sources to support budget management, healthcare, performance management, and other efforts. It supports high volumes of users, and its integration APIs make it easy to embed analytic content into any application, displayed on any device.

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.