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.
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
This infographic highlights key findings from the 2014 report titled “Pushing the frontiers: CFO insights from the global C-Suite study,” which draws input from nearly 4,200 of C-suite executives representing more than 20 industries. Learn more about the insights behind the study in this podcast.
Much of the disconnect between employees and customers stems from the inability to access and quickly weave customer data into accurate customer insight. How can organizations keep pace with customers while equipping and empowering employees? And what can businesses do to reduce the time employees
Last Wednesday, February 26, the Big Data & Analytics Hub, which is where you're reading this post right now, and Business Analytics software at IBM ran a Twitter chat entitled, “Innovations in Analytics" with special guest, Seth Grimes (@sethgrimes). Seth is a leading industry analyst covering
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.
Big data and analytics today greatly helps any industry in leveraging the power of realizing greater insights from the constant and overflowing influx of data, be that data-at-rest or data-in-motion. This data, although complexly unstructured and in abundant, when subjected to the right Analytics
Without a doubt, data integration is essential to the success of big data projects. However, some folks in the big data vendor community, including data warehouse, Hadoop and data integration vendors, are telling a very confusing story about the fitness of Hadoop as a data integration platform.
On January 9, 2014 IBM announced that it was forming a new organization (the Watson Group) and investing a billion dollars ($1B!) in future Watson development. The company also announced three new Watson cloud services—The Watson Discovery Advisor, Watson Analytics and IBM Watson Explorer—as well
Big data has changed the IT landscape. Integration and governance must evolve and become more agile to handle the challenges of big data. IBM's latest innovations in integration and governance deliver context for big data, provide agile governance with automatic protection of big data and ingest
Successful organizations strike a balance between control and speed, moving quickly to explore and analyze big data, but also applying enough controls to avoid missteps with agile integration and governance. Are you confident in the analytic insights that drive your business?