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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 multi-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. 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 [Part 2]

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

Advanced Analytics | Analytics | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Decision management, machine learning, and digital marketing

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

Advanced Analytics | Analytics | Customer Intelligence | Data Visualization | Machine Learning
Suneel Grover 0
SAS Customer Intelligence 360: Model management for competitive differentiation [Part 1]

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,

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

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

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

Advanced Analytics | Customer Intelligence | Data Visualization
Suneel Grover 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

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

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

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