Data scientists and others often encapsulate big data by its dimensions known as the four Vs: volume, variety, velocity and veracity. But when considering big data as a source for insight to enhance decision making, it may be best characterized by its three Cs—confidence, context and choice—with
Avoid the productivity drain and customer frustration caused by content fragmentation. Keep the courtship period with customers alive by ensuring employees have unfettered access to enterprise content that can keep the customer experience harmonious. See how in a new IBM Enterprise Content
Cognitive IoT endeavors to enhance the accuracy and efficiency of complex, sensor-driven systems through learning and infusing human awareness into devices and environments. Learn more about the significance of cognitive computing for the Internet of Things.
Documents created in organizations of all sizes represent potential knowledge within each organization. Information management (IM) professionals bring the analytical and creativity qualifications for mining information to build that knowledge. Discover the roles of IM professionals for applying
Big data without context is pretty much useless, especially when that context can fluctuate so widely—which is why the role of Hadoop in creating accurate analytics is crucial for deriving value from big data.
The big data and analytics maturity model gives business-driven enterprises a framework for a flexible, coherent approach to big data and analytics. See what drives the evolution of this model to offer organizations insight through a real-time, actionable context.
Even when learning a new language, becoming fluent within certain contexts can be easier than other contexts. When analyzing textual data, context is imperative to understand that data. And like corpora developed for linguistics research, a simple and straightforward conversion of textual data
Not every customer or prospect is ready to buy. This means that when you engage you must do so in the context of the buyer’s frame of reference, not solely as a seller ready to make a deal. But how is this done using big data and analytics?