"Traditional analytics are about what’s often called rearview mirror analytics. Streaming analytics, is about looking through the windshield," says Mike Gualiteri, principal analyst, Forrester Research.
Jason Verlen, director of product management at IBM, says that “composable business is one of the most exciting concepts in the market today” because it helps companies bridge that gap between the handling of data and the analytics that you drive into it. Listen as Verlen expands on this.
Research shows that enterprises only analyze 12 percent of their data. InfoSphere BigInsights for Hadoop empowers enterprises of all sizes to cost effectively manage and analyze big data so that they leverage all data and not just a sliver.
"The issue around identifying targeted analysis for anti-corruption is you just can't look at one data source," says Vince Walden, a partner at Ernst & Young with responsibility for fraud investigation and dispute services. "When you're looking for potentially improper payments that could be
Watson Foundations, an IBM Big Data & Analytics Platform, presents Transforming Management Processes with the Chickasaw Nation Department of Commerce. They use IBM analytics for planning and forecasting in their casinos to get a real-time view on what's profitable. So they can react fast and
We have so much data available today that customers utilize to determine when, what and from who they buy. The onus then is on businesses to make data work for them. Listen to Corrigan tell the story of big data as it relates to insights from analytics that engage customers in new ways.
The amount of data we generate today from machines, the Internet of Things, social and the plethora of mobile devices is overwhelming. Researchers today are already experimenting with vehicles that produce 250 gigabytes of data an hour! The challenge then is to connect all the data we have. Jerry
We are in a new era of big data where organizations must leverage modern warehouse technologies (appliances, in-memory) to reduce cost and speed up analytics. "A modernized data warehouse takes advantage of new in-memory capabilities and IBM PureData for Analytics, powered by Netezza and DB2," says
With big data financial and transactional data no longer in silos, we can now look at them together. Vince Walden, Ernst and Young partner, says that big data technologies allow them to look at data from all angles.
The organization that can quickly extract insight from their data AND leverage the data achieves an advantage. Rick Clements, IBM's director of marketing for Big Data says, "we are moving from the notion of big data to fast data, where what really matters is speed...and real-time actionable insight
Ernst & Young (EY) uses IBM BigInsights platform to leverage big data and analytics to combat fraud. By running test queries across multiple transactions they can identify fraudulent transactions and mitigate risk for its customers.
Big data integration is a top use case for Hadoop and other big data technologies. David Corrigan explains the big data use case and how Hadoop falls short in four key areas: discovery, efficient development, data governance and consumability.