Analytics solutions designed to handle the volume and variety of data available today also help insurance companies improve catastrophe risk modeling, through which companies determine the exposure of current policies and predict the probable maximum loss (PML) from a catastrophic event.
Across industries, big data has generated big buzz – and the travel and transportation (T&T) industry is no exception. In fact, T&T CEOs rank the “information explosion” among the top drivers of transformation for their organizations. In this blog, I want to discuss some of the ways in
In the extremely competitive automotive industry, leaders are looking for ways to differentiate their products by offering an improved driver experience.
One way to achieve this objective is to leverage the wealth of information coming from an increasingly instrumented world. Industry analysts
Big data means different things for different industries. The definition also differs within an organization, across departments and management layers within IT and business. Within IBM, big data spans four dimensions: volume, velocity, variety and veracity. At The Big Data Institute (TBDI), big
Just like the technology made available 100 years ago to discover oil and process it into consumable products, big data technology is still in the early stages of transforming and revolutionizing the way enterprises consume and use data more effectively to market and drive their businesses.
For consumer products manufacturers, big data analytics is fueling improved business outcomes by applying new analytics capabilities on a vast amount of data. This demonstration illustrates the value of Big Data capabilities to improve sales performance insight and collaboration with retail
As industry marketing manager for Communications, I want to share with you highlights of the 2012 Big Data@Work Study covered in the executive report: Analytics: Real-world use of big data in telecommunications. The study and report, from the IBM Institute for Business Value (IBV) and Saïd Business
A big data platform, because of its ability to consume and process more data from both static and streaming sources, enables organizations to get an "enhanced 360-degree view of the customer" that has not been possible previously. Mark Myers, IBM big data product manager, describes this key use
Join Vijay Ramaiah, IBM Big Data Product Manager, to learn how the new big data technologies can provide valuable new capabilities that extend and augment your existing data warehouse to deliver broader analytics, more value and improved ROI.This is the fifth in our series examining popular use
With access to vast and various data sources, media companies are striving to build closer relationships with their customers at a level where they can finally understand them as individuals. New big data and predictive analytics capabilities allow them to analyze customer and behavioral data –
Security and intelligence is one of the most serious economic and national security challenges we face today. It is also one of the top five business use cases for big data. Join Roger Rea, IBM Big Data product manager, as he discusses how Big Data is being used to address security and intelligence
One of the key best practices for successful implementation of a big data analytics solution is to validate the business use case for big data. It will help organization with two important aspects for success:
1. Keeping the scope limited
2. Helping to measure the success of a solution that
"Data warehouse augmentation" is one of the top five business use cases for big data. Its purpose is to extend the value of existing data warehouses. Christy Maver, IBM big data product marketing manager, explains how data warehouse augmentation can help lower costs, provide the ability to perform
Solutions for analyzing big data can play a critical role in addressing the increasing prevalence of claims fraud. Traditionally, fraud is estimated to account for approximately 10 percent of insurance company losses, and that percentage is rising. Insurance companies need ways to quickly
Security intelligence with big data is the ability to lower risk, detect fraud and monitor cyber security in real time. Organizations can augment and enhance cyber security and intelligence analysis platforms with big data technologies to process and analyze new types (e.g. social media, emails,