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Customer Intelligence

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Suneel GroverNovember 9, 2018 0

SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 3]

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

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Customer Intelligence

Malcolm LightbodyNovember 7, 2018 0

Segment comparisons – Seeing is believing but measuring is knowing

How different is different? Descriptive analytics is powerful. You get to see your data and seeing is believing as they say. But blindly believing what you see is not always the best strategy. Asking someone else if they see what you see helps but is still subjective. Objectivity starts with

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Customer Intelligence

Laura MaroglouNovember 6, 2018 0

Using SAS at SAS: How content targeting drives better UX

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

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Suneel GroverNovember 5, 2018 0

SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 2]

In part one of this blog posting series, we introduced machine learning models as a multifaceted and evolving topic. The complexity that gives extraordinary predictive abilities also makes these models challenging to understand. They generally don’t provide a clear explanation, and brands experimenting with machine learning are questioning whether they

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Suneel GroverNovember 1, 2018 1

SAS Customer Intelligence 360: A look inside the black box of machine learning [Part 1]

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

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Customer Intelligence

Malcolm LightbodyOctober 29, 2018 0

Better product-centric recommendations using SAS Customer Intelligence 360

In an earlier blog post my colleague, Suneel Grover, wrote about how to take advantage of the product recommendations technology implemented in SAS Customer Intelligence 360. He noted that two methods are implemented behind the scenes, a visitor-centric and a product (or item)-centric approach. And most importantly, while some sophisticated

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Customer Intelligence

Malcolm LightbodyOctober 24, 2018 0

How hybrid recommendations improve SAS Customer Intelligence 360 results

Recommendation systems work best when you can provide them with as many relevant examples as possible. On the other hand, increasing the number of products or offers leads to recommendation blind spots, especially early on in training the system. This cold-start problem is a challenge for most recommendation systems. SAS

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Advanced Analytics | Customer Intelligence | Data Visualization

Suneel GroverOctober 11, 2018 0

SAS Customer Intelligence 360: Visual forecasting, traffic acquisition, and digital media

Every brand offers a digital experience for a reason. But to achieve on your mission, raising awareness and attracting visitors through online media is critical. No visitors? Game over. Let’s dive into a business case using website visitor data to sas.com. Suppose that a manager asks: What did our web

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Customer Intelligence

Alanna HowardOctober 2, 2018 0

Using SAS at SAS: A new user's perspective on SAS Customer Intelligence 360

For those new to SAS Customer Intelligence 360, its functionality can seem vast, but I found it easy to jump in and get started. With this cloud-based software you can combine multiple data sources to create a full picture of your site visitors and better know your customers. SAS Customer

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Customer Intelligence

Ashutosh KumarSeptember 26, 2018 1

Why customer journey design matters (and having analytics at its heart matters, too)

Marketing has changed and continues to change. Some of this is because of technology, but mostly it is the result of evolving customer expectations. Isolated customer interactions, however good, do not create a great customer experience. As isolated events, in fact, they may have a low level of influence on

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