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
What makes customers tick? Why do they buy, how do they prefer to shop and, the big question, why do they switch? These are all important questions that every organization faces. Understanding the socially connected customer (having a 360 degree view) makes it possible to provide a truly
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
TEOCO’s assurance and analytics solutions, powered by IBM PureData System for Analytics, powered by Netezza technology, enable CSPs to access and analyze massive amounts of data to uncover the source of cost and network issues.
Today’s data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges while maintaining an effective analytical environment, many organizations are exploring cloud-based environments coupled with
I recently started researching a longer piece I’m writing about big data architectures, and I realized something: big data is growing up. It has moved rapidly from a collection of critical, but over-hyped technologies disrupting core relational database market segments to an emerging eco-system to
In order to deliver deeper insight, organizations must be able to leverage and integrate the growing amounts and different types of data together to reveal different perspectives and so, get closer to the “truth." Transactional, freeform, sentiment, clickstream data and more help create a richer