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.
Watson Foundations, an IBM Big Data & Analytics Platform, presents Acquiring, Growing and Retaining Customers with C Spire, a wireless provider who uses predictive analytics and decision management to identify when customers might leave and personalize experiences so they don't.
Watson Foundations, an IBM Big Data & Analytics Platform, presents Creating New Business Models with nViso, a marketing intelligence company who uses predictive analytics to interpret customers' facial expressions the moment they occur. So nViso can help business know what consumers want
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.
To provide customers with an innovative and convenient shopping experience, Bon- Ton Stores, Inc. needed to understand what customers were thinking and feeling. IBM PureData System for Analytics powers business decisions from merchandising to marketing promotion optimization with speed and
Today's customer expects businesses to know their specific needs and cater to them. Personalization is no longer a nice-to-have but a must-have. By utilizing big data, companies can gain a deeper understanding of customers and transform the customer experience. Shane Sweeney, head of engineering of