This latest research from IBM holds key insights into how companies are adopting big data and analytics, cloud, mobile and social. More importantly, the study shows that pacesetting organizations exhibit three key characteristics that set them apart from the rest.
Detecting information in the moment gives companies a competitive advantage. Forrester evaluated the top streaming analytics platforms to determine which ones can deliver the fastest time to insight and provide the most useful ways to enhance the customer experience.
"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 Optimizing Operations; Countering Fraud & Threats with Vestas, the world's largest wind energy company. Vestas uses stream computing to know exactly where to place their wind turbines for more precise ROI forecasting and
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.
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