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Suneel Grover
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Advisory Solutions Architect

Suneel Grover is an Advisory Solutions Architect supporting Digital Intelligence, Marketing Analytics and Omni-Channel Marketing at SAS. By providing client-facing services for SAS in the areas of predictive analytics, digital analytics, visualization and data-driven integrated marketing, Grover provides technical consulting support in industry verticals such as media, entertainment, hospitality, communications, and sports. In addition to his role at SAS, Grover is an professorial lecturer at The George Washington University (GWU) in Washington DC, teaching in the Masters of Science in Business Analytics graduate program within the School of Business and Decision Science. Through this hybrid of activity, he provides thought leadership through white papers, featured speaker presentations, and program advisory services for entities such as the Direct Marketing Association (DMA), Interactive Advertising Bureau (IAB), Indiana University (IUSB), University of Missouri (UMSL), Radford University (RU-COBE), and New York University (NYU-SCPS). In addition to his contributions to industry and academia, Grover has a MBA in Marketing Research & Decision Science from The George Washington University (GWU) and a MS in Integrated Marketing Analytics from New York University (NYU).

Advanced Analytics | Analytics | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Factorization machines, visual analytics, and personalized marketing

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

Customer Intelligence
Suneel Grover 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

Advanced Analytics | Analytics | Customer Intelligence | Machine Learning
Suneel Grover 0
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

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
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

Advanced Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Suneel Grover 0
Algorithmic marketing attribution and conversion journey analysis [Part 1]

Everyone has a marketing attribution problem, and all attribution measurement methods are wrong. We hear that all the time. Like many urban myths, it is founded in truth. Most organizations believe they can do better on attribution. They all understand that there are gaps, for example, missing touchpoint data, multiple

Analytics | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
How does a marketer know what to test?

As customer interactions spread across multiple touch points, consumers demand seamless and relevant experiences. Traditional planning and design approaches--that rely on historical conventions, myopic single-channel perspectives and sequential act-and-learn iteration—no longer matches the complexity and pace of modern digital marketing. Marketers must  re-evaluate their strategies for engagement—especially in the area

Advanced Analytics | Analytics | Customer Intelligence
Suneel Grover 0
Digital intelligence for optimizing customer engagement

Digital intelligence is a trending term in the space of digital marketing analytics that needs to be demystified. Let's begin by defining what a digital marketing analytics platform is: Digital marketing analytics platforms are technology applications used by customer intelligence ninjas to understand and improve consumer experiences. Prospecting, acquiring, and holding on

Customer Intelligence | Data Management
Suneel Grover 0
Web analytics vs. digital intelligence - what's the difference?

The business opportunity to intelligently manage customer journeys across their lifecycle with your brand has never been greater, but so is the danger of not meeting their expectations and losing out to savvier competitors. In my opinion, the current state of most digital analytic practices continue to be siloed, tactical, and narrowly fixated on channel-obsessed dashboard

Customer Intelligence
Suneel Grover 0
Analytical segmentation for data-driven marketing

Marketers have used segmentation as a technique to target customers for communications, products, and services since the introduction of  customer relationship management (i.e., CRM) and database marketing. Within the context of segmentation, there are a variety of applications, ranging from consumer demographics, geography, behavior, psychographics, events and cultural backgrounds. Over time, segmentation has proven its value,

Customer Intelligence
Suneel Grover 0
Making the case for algorithmic digital attribution

Broadly speaking, the holy grail of digital media measurement is to analyze the impact and business value of all company-generated marketing interactions across the complex customer journey. In this blog post, my goal is to take a transparent approach in discussing how data-driven marketers can progress past rules-based attribution methods, and make the business case for leveraging algorithmic applications.

Customer Intelligence
Suneel Grover 0
Translating predictive marketing analytics through visualization

Marketing analytics continues to explode with more data sources and fascinating predictive marketing approaches to solve important business problems, yet one challenge continues to bubble up. The ability to translate the technical math behind predictive analytics into easy-to-understand business language and visualization to help c-suite executives make data-driven decisions with

Customer Intelligence
Suneel Grover 0
Digital marketing, predictive analytics, and making personalization delicious

In anticipation of SAS Forum Portugal 2015, I wanted to kick off my first contribution to the SAS Customer Analytics Blogosphere sharing an interview I completed with Sofia Real on the topics of modern digital marketing, predictive analytics, optimization, and personalization. Does that sound like a nasty traffic jam you might want to avoid? Absolutely not,