Data is emerging as the world’s newest natural resource and the basis for a new kind of competitive advantage. Yet, for many organizations, the increasing volume, variety and influx of data is straining their IT infrastructures—traditional infrastructure was never designed to handle the magnitude
“When people use a service for free, they are de facto lab rats for market researchers.” This is one of the responses to the Facebook social experimentation revelations that makes more sense than much of the hyperbolic ones that are saturating all forms of media at the moment.
Think it, try it and build it with IBM Bluemix, a cloud-based developer sandbox for big data and data management services. Bluemix makes agile mobile and web app development with best of breed capabilities a reality.
Insight 2014, formerly Information On Demand, will bring more than 13,000 business and IT professionals together to exchange ideas and share experiences around harnessing the data coming from all directions in real time. Industry pundits, peers and thought leaders will connect the dots between big
Gartner has recently released their first ever Magic Quadrant for Structure Data Archiving Application Retirement. In this report, Gartner evaluates vendors based on their capabilities and offerings for structured data archiving and application retirement. IBM has been recognized as a leader in the
Research indicates that business and IT professionals spend more than 70 percent of their time finding data, validating it or defending it, rather than focusing on what they find most important: analyzing the data. With too little time spent focusing on data analysis, organizations derive sub-
Big data and analytics is sweeping the UK market and promises to bring exciting solutions that are enabling organizations to stay ahead while customers and citizens continue to evolve in the new data-driven environment.
This infographic touches on five critical steps that will help customers streamline their application infrastructure, reduce infrastructure costs and transform enterprise data into a trusted, high-value resource by successfully consolidating and retiring their applications.
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Big data does not make data quality redundant. As long as there is a need to make sound decisions based on information and insights, there will be a need for data quality and governance. Data quality function will adapt to the changing business needs and play a crucial role in building confidence
Many make out the data scientist to be a Renaissance woman or man who can single-handedly elevate the organization’s analytics savvy. However, preparing students for corporate roles in data science means training them for many positions on a team. At Arizona State University, we work closely with