Customer Intelligence Blog

Tag: digital marketing

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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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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Advanced Analytics | Analytics | Customer Intelligence | Data Visualization | Machine Learning

Suneel GroverJuly 18, 2018 2

SAS Customer Intelligence 360: Factorization machines, visual analytics, and personalized marketing [Part 1]

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

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Customer Intelligence

Suneel GroverJune 20, 2018 3

SAS Customer Intelligence 360: Predictive next best actions

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

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Customer Intelligence

Suneel GroverMay 23, 2018 2

SAS Customer Intelligence 360: Path analysis for re-engagement

Path analysis is an exploration of a chain of consecutive events that a given user or cohort performs during a set period while using a website, online game or mobile app (although other use cases can apply outside of digital analytics). As a subset of behavioral analytics, path analysis is

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Customer Intelligence

Suneel GroverMay 17, 2018 0

SAS Customer Intelligence 360: Location analytics meets digital intelligence

When data meets geography, use cases revolve around mapping and spatial analytics. But what happens when you combine digital analytics and powerful visualization for customer location analysis? Leveraging data collection mechanisms, SAS 360 Discover captures first-party behavioral information across the entire digital customer experience with a brand’s websites and mobile

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Advanced Analytics | Analytics | Customer Intelligence | Machine Learning

Suneel GroverDecember 18, 2017 1

SAS Customer Intelligence 360: The digital shapeshifter of recommendation systems [Part 1]

If you’ve ever used Amazon or Netflix, you’ve experienced the value of recommendation systems firsthand. These sophisticated systems identify recommendations autonomously for individual users based on past purchases and searches, as well as other behaviors. Customers get algorithmic recommendations on additional offerings that are intended to be relevant, valued, and

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Suneel GroverSeptember 26, 2017 1

Algorithmic marketing attribution and conversion journey analysis [Part 3]

In Part 1 and Part 2 of this blog posting series, we discussed: Our current viewpoints on marketing attribution and conversion journey analysis in 2017. The selection criteria of the best measurement approach. Introduced our vision on handling marketing attribution and conversion journey analysis. We would like to conclude this

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