There aren’t many things that keep me awake at night but let me share a recent example with you. I’ve been grappling with how to help a local SAS team respond to a customer’s request for a “generic enterprise analytics architecture.” As background, this customer organization had recently embarked on
It's an exciting time to be in the automotive and transportation industry. The opportunities for business transformation and growth are enormous – and those companies that lead in implementing new ways to drive intelligent customer interactions will capture the greatest share of new revenue streams. For those of us fortunate enough
Machine learning is not new. SAS has been doing it for over 20 years and some early machine learning papers date back to the 50’s. So why is it one of the hottest topics at the Strata Hadoop World conference later this week? Clearly, Hadoop is playing a major role
If a picture is worth a thousand words, then visualizing data in Hadoop would be like a billion. Over the last few years, organizations have rushed to leverage the low-cost distributed computing and storage power of Hadoop clusters. As Hadoop environments mature and move away from their initial focus of
As the big data era continues to evolve, Hadoop remains the workhorse for distributed computing environments. MapReduce has been the dominant workload in Hadoop, but Spark -- due to its superior in-memory performance -- is seeing rapid acceptance and growing adoption. As the Hadoop ecosystem matures, users need the flexibility to use either traditional MapReduce
Streaming analytics is a red hot topic in many industries. As the Internet of Things continues to grow, the ability to process and analyze data from new sources like sensors, mobile phones, and web clickstreams will set you apart from your competition. Event stream processing is a popular way to
The importance of data analytics in the UK public sector and wider society was in the spotlight earlier this year, following a report from Policy Exchange. It called for elected mayors to set up an Office of Data Analytics. If enacted, these teams of experts will have one central aim:
A recent survey by Capgemini found that 78% of insurance executive interviewed cited big data analytics as the disruptive force that will have the biggest impact on the insurance industry. That’s the good news. The bad news is that unfortunately traditional data management strategies do not scale to effectively govern
You’d better watch YouTube, you’d better not cry You’d better not post, I’m telling you why Big data is coming to town He’s making many lists (and selling them too), he’s writing it twice (for redundancy’s sake), He’s gonna find out whose naughty or nice Big data is coming to town
Like retailers, Communications Service Providers (CSPs) interact with customers in multiple ways during the buy, use and share journey. These interactions take place at stores and on websites, Facebook pages, call centers, and other channels. However, unlike retailers, CSPs are having a harder time providing a seamless experience across their many channels.
