Data Warehouse & Storage
September 12, 2014
Today retail customers are more empowered, instrumented and interconnected socially. With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. In order for retailers to capitalize on this, they need ways to collect, manage and analyze a tremendous volume, variety, velocity and veracity of data. By using the valuable insights from this data, businesses can better personalize marketing, improve campaign effectiveness, optimize product assortments and perfect merchandising decisions, thus removing inefficiencies in distribution and operations.
September 11, 2014
Big data is poised to reshape the way we live, work and think. The telecommunications sector, which has been slow to realize the shifting ground, is catching up to redefine the customer digital experience, using big data and analytics.
September 8, 2014
Is your healthcare organization engaging with customers the way you would expect to be engaged? Read how big data and analytics is helping healthcare organizations understand the consumer and fuel smarter engagement strategies through multiple social, mobile and traditional channels.
September 5, 2014
In today’s fast-paced and information-driven business environment, big data makes the world go around. Being competitive means finding a way to quickly turn massive amounts of information into actionable data. In-memory computing can be a difficult task to negotiate, especially with the time it takes to process massive data sets and the associated costs. Thanks to BLU Acceleration from IBM these hurdles are a thing of the past.
September 2, 2014
Transactions make the world go round, but fast analytics help the planet rotate even faster.
August 29, 2014
Hadoop offers a cost effective solution for landing and transforming data before feeding the data warehouse. Hadoop also offers a cost effective solution for aged data that's rolled out of the warehouse. If you're going to extract real business value from big data, then you need to embrace new data sources. Analytics are the key to making sense of big data.
August 27, 2014
The consolidated memory cloud will be the dominant architecture of the big data future. For enterprises and service providers trying to get closer to that vision, however, the migration path will not always be straightforward.
August 25, 2014
Scientific research has become a data powerhouse, propelled forward by sequencing and imaging technologies that accumulate data at astonishing speeds. However, managing petabytes of fast data is not a challenge exclusive to the scientific community.
August 15, 2014
This Big Data & Analytics Maturity Model helps organizations assess their current capabilities in order to generate value from big data investments in support of strategic business initiatives. It does so by forming a considered assessment of the desired target state, identifying gaps and provides guidance on the steps required to realize this end state.
August 14, 2014
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for the world’s largest big data conference: IBM Insight.