Much of my recent work has been along the theme of modernization. Analytics is not new for many of our customers, but standing still in this market is akin to falling behind. In order to continue to innovative and remain competitive, organizations need to be prepared to embrace new technologies
Unless you live in England, you may not have seen the recent announcement that Buckingham Palace is to undergo a 10-year refurbishment costing the British taxpayer £369M. Even with the post-Brexit devaluation of Sterling, that’s still a sizable spend representing nearly US$500 million. The Queen will remain in residence during
At SAS, we've worked hard to transform ourselves into an analytical marketing organization. And it's an ongoing journey. As new tools and data sources appear, we'll continue to grow, change and improve. As the leader of this effort, I wish there had been a how-to guide available when we started
Some organizations I visit don’t seem to have changed their analytics technology environment much since the early days of IT. I often encounter companies with 70s-era base statistical packages running on mainframes or large servers, data warehouses (originated in the 80s), and lots of reporting applications. These tools usually continue
If you were to climb Mt. Everest, you would face many dangers, including large crevasses in the glacier. Without best practices and a phased ascension there is a large probability that you’ll get into serious trouble and fail. When it comes to updating your data and analytics systems, the challenges
The cottage industry was based on workers buying raw materials, bringing them home and producing hand-crafted items to sell. The system worked, but was slow, tedious and expensive, producing goods that were affordable only by the rich. The Industrial Revolution changed all that. The factory system brought machines and workers
SAS Senior Vice President and Chief Marketing Officer Jim Davis welcomed the Opening Session audience at SAS Global Forumall too appropriately: by using text analytics to create a word cloud, based on CEO Jim Goodnight’s remarks just minutes before. And he honed in on a word that stood out to
With all the technology changes coming in the next five years, what should organizations invest in first? The innovations keep coming and so do the 3 a.m. night sweats for decision makers. “How will we catch up when technology seems to change overnight, nearly every night?” It’s a surprisingly common
In the ever-expanding universe of AI, one concept has been steadily gaining ground: Human-out-of-the-loop AI. This term encapsulates a profound shift in how we interact with technology, prompting us to reconsider the boundaries between human and machine intelligence. But what does it entail? And what implications does it hold for
Customer analytics is becoming imperative for organizations that desire to create and provide personalized and satisfying customer experiences. To understand and anticipate customer needs, preferences and behaviors in a fast-moving marketplace, organizations must make sense of unstructured data, apply industry-specific data and analytics techniques, and optimize every customer-level decision and
