predictive analytics

12月 062018
 

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.

11月 302018
 

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.

11月 292018
 

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

11月 272018
 

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.

11月 012018
 

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.

8月 022018
 

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

7月 192018
 

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.

7月 132018
 

In part one of this blog posting series, we took an introductory tour of recommendation systems, digital marketing, and SAS Customer Intelligence 360. Helping users of your website or mobile properties find items of interest is useful in almost any situation. This is why the concept of personalized marketing is [...]

SAS Customer Intelligence 360: The Digital Shapeshifter of Recommendation Systems [Part 2] was published on Customer Intelligence Blog.

7月 092018
 

Like the fabled winds of song, new students come sweepin’ down the plains to the University of Oklahoma, with a little help from analytics. I recently had the opportunity to chat with Lisa Moore, Data Scientist at the University of Oklahoma, on her expanding use of predictive analytics. It had [...]

U of Oklahoma attracting new Sooners sooner with analytics was published on SAS Voices by Georgia Mariani

6月 202018
 

Regardless of industry, it has become a frequent occurrence that behind every data-driven marketer is an analytical ninja. Together, they formulate recipes in addressing the customer-centric paradigm that considers the different actions that a brand can take for a specific individual, and decides on the “best” one. The goal of [...]

SAS Customer Intelligence 360: Predictive next best actions was published on Customer Intelligence Blog.