Over the past couple of years, I've written about a variety of use cases and value props regarding SAS® Customer Intelligence 360. As powerful as words and images can be, let's transition to the ultimate show – the demo. In the forty minute video below, observe how SAS Customer Intelligence [...]
SAS Customer Intelligence 360 Meets SAS Viya: Show me the demo was published on Customer Intelligence Blog.
When it comes to forecasting new product launches, executives say that it's a frustrating, almost futile, effort. The reason? Minimal data, limited analytic capabilities and a general uncertainty surrounding a new product launch. Not to mention the ever-changing marketplace. Nevertheless, companies cannot disregard the need for a new product forecast [...]
Practical approaches to new product forecasting using structured and unstructured data was published on SAS Voices by Charlie Chase
When it comes to forecasting new product launches, executives say that it's a frustrating, almost futile, effort. The reason? Minimal data, limited analytic capabilities and a general uncertainty surrounding a new product launch. Not to mention the ever-changing marketplace. Nevertheless, companies cannot disregard the need for a new product forecast [...]
Practical approaches to new product forecasting using structured and unstructured data was published on SAS Voices by Charlie Chase
A typical day brings countless business decisions that affect everything from profitability to customer experience. What is a reasonable price point? Which audience segments should I personalize offers for? When should I recommend specific content earlier in a customer journey? Daily decisions like these can alter the trajectory of a [...]
SAS Customer Intelligence 360: Decision management, machine learning, and digital marketing was published on Customer Intelligence Blog.
In part one of this blog posting series, we introduced that the analytics lifecycle is much more than authoring models. As brands develop and invest into creating models to solve critical business problems, so does the requirement to manage these assets as valuable competitive differentiators. In part two of this [...]
SAS Customer Intelligence 360: Model management for competitive differentiation [Part 2] was published on Customer Intelligence Blog.
Whether you're reading industry articles about smart tags or analyst reports about inventory tracking, you've probably noticed an uptick in coverage on the adoption of IoT (and RFID) in retail. Since I've been following these topics for awhile, I've decided to dedicate a series of posts on the ways IoT can be used [...]
Will 2019 be the year of an IoT epiphany in retail? was published on SAS Voices by Greg Heidrick
The universe of customer experiences, digital analytics, personalization and decisioning is massive. At times, it can seem as complicated and vast as the galaxy itself. With intricate subjects underneath this umbrella, you can lose direction, wander aimlessly, or feel a misleading sense of success or failure. When you lose vision, [...]
SAS Customer Intelligence 360: Model management for competitive differentiation [Part 1] was published on Customer Intelligence Blog.
As machine learning takes its place in numerous advances within the marketing ecosystem, the interpretability of these modernized algorithmic approaches grows in importance. According to my SAS peer Ilknur Kaynar Kabul: We are surrounded with applications powered by machine learning, and we’re personally affected by the decisions made by machines [...]
SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 1] was published on Customer Intelligence Blog.
Recently, Scott Jackson, Director Business Intelligence at the University of North Carolina at Chapel Hill shared their data quality, reporting and analytics journey. They're using SAS in a multitude of ways – from operations, institutional research, athletics – and are now looking to scale to the enterprise. They've been so successful [...]
Scaling data and analytics across the University of North Carolina was published on SAS Voices by Georgia Mariani
In a previous posting, SAS Customer Intelligence 360 was highlighted in the context of delivering relevant product, service, and content recommendations using automated machine learning within digital experiences. Shifting gears, SAS recognizes there are different user segments for our platform. This post will focus on building custom analytical recommendation models [...]
SAS Customer Intelligence 360: Factorization machines, visual analytics, and personalized marketing was published on Customer Intelligence Blog.