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
Big Data & Analytics Heroes
Nitesh ChawlaFounder, Aunalytics and Associate Professor at University of Notre Dame
Personalized healthcare, learning engagement analytics and climate change are a few of the areas where this week’s Big Data & Analytics Hero Nitesh Chawla has uncovered “gold nuggets.” Learn more about his experiences and see what he thinks is still missing for big data and analytics to really
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
When people say about some found object, "don't touch it, you don't know where it's been," they might as well being speaking of data. You can't use any data with confidence until you ascertain where it came from, who handled it and what they did with it.
With business outcomes front and center, emboldened decision makers want data and analytics systems that are fast, easy and smart. New cloud-based initiative BlueInsight aims to deliver on that promise to business and knowledge workers, unleashing them to pursue what they do best—taking action
Clients are achieving competitive advantage through leveraging big data and analytics to drive growth and profitability across their organization. Neil Isford, NA VP of Smarter Solutions, highlights focus areas and key critical success factors for organizations to address when adopting a big data
Customers demand control of when, where and how they interact with brands—not just on websites, but across all channels. Understanding and managing customer preferences requires listening, really listening, to customer opt-ins and opt-outs, monitoring their behavior and knowing the type of
Industry analysts project that 30% of companies will “monetize their data” by 2016. But what does this mean? Many organizations are trying to figure out how to turn their data into a gold mine. The reality is each business is unique and data monetization projects should be customized to focus on a
I recently attended the Gartner Master Data Management conference in Europe. Andrew White, a senior Gartner analyst, shared a statistic during the opening keynote presentation that stuck with me—the statistic is this:
"Roughly 1 in 3 organizations will suffer an information crisis in the next 2
IBM’s Technical Consultancy Group led this academic colloquium last week on big data and analytics to collaborate with UK academics on research, teaching and technology. This was a high impact gathering of top-tier academic and industrial expertise discussing social, media and human-computer
Gregory Piatetsky, our Big Data & Analytics Hero this week, is an analytics and data mining expert and editor for KDnuggets.
Read more about Gregory's big data realistic optimism in today's Big Data & Analytics Heroes post.