By Michelina M Jones

Visualization of data is a keystone of reporting. Different sets of data require different types of visualizations to provide maximum insight. Fixed libraries of visualization types for use in reporting can be very limiting to a report author trying to present the data in the most consumable format. Providing a mechanism to extend the visualization options allows a report author to pick or define new visualization types to meet the needs of their business users. The most recent release of Cognos 10.2.1 includes extensible visualization capabilities whi...

By  Vamsi Chemitiganti The Financial Services industry is undergoing a major transformation. Innovation in data technologies is driving growth of predictive analytics and data mining techniques that will dramatically change banking over the next few years. This is the second in a series of posts that will describe that transformation. The first can be found here. This second post examines concrete use cases enabled by a data-driven approach in the industry. “Data! Data! Data!” he cried impatiently. “I can’t make bricks without clay!” – Sherlock Holmes, Conan Doyle’s “T...

UC Irvine Medical Center maintains millions of records for more than a million patients, including radiology images and other semi-structured reports, unstructured physicians’ notes, plus volumes of spreadsheet data. To solve the challenge the hospital faced with data storage, integration, and accessibility, the hospital created a data lake based on a Hadoop architecture, which enables distributed big data processing by using broadly accepted open software standards and massively parallel commodity hardware. Hadoop allows the hospital’s disparate records to be stored in their native formats for later parsing, rather than forcing all-or-nothing integration up front as in a data warehousing scenario. Preserving the native format also ...