Fraud is a primary concern for financial institutions, particularly in the relatively porous channels opened by electronic banking and payments, which have seen notable exploitation by organized crime. However, some leading financial institutions have used emerging big data and analytics
Cognitive analytics is innovating and evolving rapidly. Expert predictions in this area are essential for organizations that plan to leverage cognitive analytics in their big data analytics strategies in 2016 and beyond
Apache Spark is a next-generation, cluster-computing, runtime processing environment and development framework for in-memory advanced analytics. This presentation provides a crisp, ten-point summary of what every data analytics professional should know about Spark.
Mueller needed a customer-focused approach to sales and more data transparency so information could easily be shared throughout the company. With IBM Big Data & Analytics solutions, Mueller empowered all employees to view and analyze company data in near real time, measure individual
With increasing numbers of people turning to social media to reach out to insurance companies, Security First sought a way to better manage its interactions over Facebook, Twitter, LinkedIn and email policyholders in the wake of a catastrophic event. With IBM Big Data & Analytics, Security
Seattle Children's Hospital, one of the leading children's hospitals in the U.S., needed a solution to manage and extract valuable insights from vast amounts of complex data. Seattle Children’s turned to IBM Business Partner Brightlight Consulting to implement an emergency dashboard system to track
This 2013 IBM Institute for Business Value study surveyed 900 businesses and IT executives from 70 countries, asking more than 50 questions. The questions were designed to reveal how to translate high-level concepts associated with delivering exceptional business value through analytics into
Are you effectively converting your audience insights into added value for your consumers? 80% of CEOs believe they deliver a superior customer experience, but only 8% of their customers agree. With IBM Big Data & Analytics solutions you can acquire, grow, and retain customers by improving
Big data poses big challenges for accessing and analyzing information. BLU Acceleration from IBM delivers speed of thought analytics that help you make better decisions faster. See BLU Acceleration’s innovative dynamic in-memory processing, actionable compression, parallel vector processing and
Hadoop is a great technology for analyzing huge amounts of data. Hadoop can be hard to use. Big SQL brings the power of SQL to Hadoop. It lets you leverage your SQL skills and your JDBC and ODBC applications with data stored in HDFS and HBase.
IBM Big SQL Technology Preview program provides an easy convenient way to get familiar with SQL for Hadoop technology. With nothing more than a web browser you will be running SQL queries against real Hadoop cluster.
Production-ready big data = Big data deployment that is prepared for delivery into a production IT environment. When preparing data, there are five things to keep in mind to help realize the full operational potential of big data. This presentation is based on a blog by Big Data Evangelist James
This use case looks at how savvy retailers can use "big data" - combining data from web browsing patterns, social media, industry forecasts, existing customer records, etc. - to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions, and monitor real-time analytics