Posts tagged for “Big data”
Post looks at the challenges with Big Data and getting value from the data through analytics. Enterprises are encouraged to leverage their current service providers, who may have access to their data, to mine and provide intelligence from their data as part of an overall strategy.
Posted by: Linda Welch on February 5th, 2014
What is driving enterprises toward big data analytics is the promise of better business insights and the need to become more data-driven in their decision making. Enter the resurgence of data mining and machine learning.
Posted by: Ruhollah Farchtchi on January 14th, 2014
The Federal team of data scientists at Unisys has opened the company’s new Big Data Analytics Lab and welcomes feedback on real world data issues challenging enterprises.
Posted by: Rod Fontecilla on October 17th, 2013
The Unisys data analytics reference architecture provides a baseline to adopt big data and Not Only SQL (NoSQL) technologies. It also provides a starting point for the majority of data analytics implementations and helps identify gaps that may exist in a data analytics infrastructure.
Posted by: Ruhollah Farchtchi on October 17th, 2013
Paperless banking is a journey and banks need to make iterative steps along that journey so that they can save costs, and provide better customer service and compliance of their digital records. Banks can achieve that vision, enjoy excellent economic returns and drive toward paperless operations.
Posted by: Paul Barber on September 3rd, 2013
Opening or renovating an airport is more than construction upgrades – it is a balancing act of physical and technological requirements to synchronize operations and improve the passenger experience.
Posted by: Eric Deinoff on April 11th, 2013
Government agencies can identify the best technology to slice and dice their big data by focusing on efficient data processing and express analytics.
Posted by: Rod Fontecilla on April 2nd, 2013
Uma das componentes do Big Data é a segurança da informação com o objetivo de identificar padrões e detetar sinais de comportamentos maliciosos
Posted by: Sergio Sa on March 11th, 2013
Big Data tools make it easier for data analysts to use a more diverse set of data sources that enables not only the discovery of new channel specific financial crime typologies, but also cross-channel, cross-product, and cross-customer crime.
Posted by: Robyn Norfolk on June 28th, 2012
In 2012 Big Data moves from technical curiosity and pilots to real-life implementation for mainstream organizations. Business challenges will arise related to the business case and prioritization of analytics initiatives, access to data management and analytics skills, and data confidentiality and privacy.
Posted by: Nick Evans on January 17th, 2012