Have you ever wondered how extracting value from big data might be like skateboarding? Really, it never crossed your mind? Actually, to be honest I had never considered it either, not even one little bit. At least, not until I watched a skateboarding legend explain, “The Art of Good Practice”
It is always important to continue to sell the value of analytics within your organization, especially to your leaders. Usually, these type of results are delivered via reports, dashboards, or emails. However did you know that analytics: Detects when expensive machinery like electrical submersible pumps (ESP) or oil platforms need maintenance before
Imagine you're a business analyst who just discovered a pattern or trend that could significantly help your organization. What do you do next? You share it. Using SAS® Visual Analytics, you've published your results to the Web and mobile device before, but this time you'd rather work with your findings in
For a lot of North Carolina chess families, this past weekend was action-packed. It was the 40th North Carolina K-12 Chess Championship, a three day event hosted by Chess Achieves and sponsored by SAS. Many families drove in on Friday from as far away as the mountains in the west and
Data asset management and analytic processing associated with big data were main topics of interest at the recent Strata conference in Santa Clara, California. Hosted in Silicon Valley, the conference attracted some of the brightest and most intelligent data scientists from America’s top research and academic institutions. Yet, to my ears, the
When you think of internal communications in a large- or medium-sized company, what comes to mind? Perhaps an Internal Communications department that delivers corporate-level news, announcements and features to employees, helps with executive communications, publishes content on the intranet, etc.? While that’s often true, it’s only part of the story.
What's the differences between predictive analytics and basic reporting? Predictive analytics provides insight about what will happen in the future. Basic reporting only looks at past performance. Why is this difference difficult to grasp? It's partly because transitioning to predictive analytics requires change. And most people don't embrace change. Take
How can you access relevant data quickly, even when it's big, complex data? How can you make more strategic business decisions with data and analytics? And make them faster? You need a two things: analytics and self-service business intelligence. This combination makes it easy to first understand and then present
From Gartner to IDC to the trade press, the watchwords in the supply chain for rest of this decade appear to be “resiliency” and “responsiveness”. It’s not going to be about promotion-based pull-through, and it’s most definitely not going to be about channel incentive-based push-through. What it’s going to be
IT support levels for different processes and business applications depend on many factors. So how are analytics projects generally supported? It's common for IT to view the implementation of advanced analytics as part of a production job or process, especially when analytic models are deployed into different operational systems that are
