marketing analytics

3月 262020
 

Excitement levels are high for the March 2020 release of SAS Customer Intelligence 360, which includes multiple years of research and development culminating in enhancements to the platform's underlying data model. The changes will introduce the unification of a comprehensive data model recording both: Customer behavior -- what users are [...]

SAS Customer Intelligence 360: Unified data model, marketing attribution and AutoML was published on Customer Intelligence Blog.

3月 122020
 

In parts one and two of this blog series, we introduced hybrid marketing as a method that combines both direct and digital marketing capabilities while absorbing insights from machine learning. According to Daniel Newman (Futurum Research) and Wilson Raj (SAS) in the October 2019 research study Experience 2030: “Brands must [...]

SAS Customer Intelligence 360: Hybrid marketing and analytic's last mile [Part 3] was published on Customer Intelligence Blog.

5月 172019
 

Competition in customer experience management has never been as challenging as it is now. Customers spend more money in aggregate, but less per brand. The average size of a single purchase has decreased, partly because competitive offers are just one click away. Predicting offer relevance to potential (and existing) customers plays a [...]

SAS Customer Intelligence 360: Factorization machines, visual analytics, and personalized marketing [Part 2] 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 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 092018
 

In parts one and two of this blog posting series, we introduced machine learning models and the complexity that comes along with their extraordinary predictive abilities. Following this, we defined interpretability within machine learning, made the case for why we need it, and where it applies. In part three of [...]

SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 3] was published on Customer Intelligence Blog.

11月 092018
 

In parts one and two of this blog posting series, we introduced machine learning models and the complexity that comes along with their extraordinary predictive abilities. Following this, we defined interpretability within machine learning, made the case for why we need it, and where it applies. In part three of [...]

SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 3] was published on Customer Intelligence Blog.

11月 062018
 

The only constant is change – Heraclitus As online user behavior continues to evolve, user expectations are growing as well. More and more, users expect to be known; thus, web personalization and targeted content are becoming mission critical and an expectation, not an exception. Using SAS Customer Intelligence 360, we [...]

Using SAS at SAS: How content targeting drives better UX 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.

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.