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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, financial services 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 Management | Data Visualization | Machine Learning
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SAS Customer Intelligence 360: Data visualization, location analytics and geospatial insights

Everything happens somewhere, and much of our customer data includes location information. Websites include x, y coordinates in semi-structured click streams, and the mobile apps your prospects depend on frequently support device location to provide a personalized, targeted experience. As my SAS peer Robby Powell said: "Human brains are hardwired

Advanced Analytics | Customer Intelligence | Data Management | Data Visualization
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SAS Customer Intelligence 360: Visual analytics, sankey diagrams and customer journeys

We live in the age of data. From global warming stats to customer behavior patterns, new technologies have made it easier to collect, store, access and analyze information. But our use of these technologies has also eroded our attention spans and fueled post-truth misunderstandings. To combat these trends, the question

Advanced Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization | Machine Learning
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SAS Customer Intelligence 360: Make better decisions with analytically driven marketing

According to the SAS Experience 2030 global study, by the year 2030 67% of in-person customer engagements (think sales assistance and information queries) will be completed by smart machines rather than humans. And while it may seem a bit ironic, the most personalized customer experiences could involve no people at

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Data Visualization | Machine Learning
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SAS Customer Intelligence 360: Automated explanation and supervised segmentation

One of the wonderful aspects about my client-facing role at SAS is the breadth of audiences that I get to work with. No matter where you fall on this list: Data engineer. Business or marketing analyst. Citizen data scientist. Data scientist. Statistician. Executive. One topic is certain: We all love

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Data Visualization | Machine Learning
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SAS Customer Intelligence 360: Enriching analysis with device usage data

Over the last 20+ years, global society has adopted digital devices at scale, and consumer interaction behaviors continually evolve and mature. As analysts, we're uniquely positioned to notice worldwide trends, country-specific nuances and localized market behaviors that can have significant impact on our brand's business goals. This global scope is

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Data Visualization | Machine Learning
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SAS Customer Intelligence 360: Behavioral event tracking, targeting & engagement analysis

There's no question that we're all increasingly, and often exclusively, interacting with brands digitally. Consumers are now online through countless mechanisms – from laptops and mobile apps to AI-enabled voice assistants and sensor-based wearables. Engagement is diversifying in fascinating new ways. And when organizations can't see their customers interacting in

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Machine Learning
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SAS Customer Intelligence 360: Identity management, profiling and unified data model for hybrid marketing

Customer data platforms (CDPs), data management platforms (DMPs), people-based marketing, identity graphs, and more overlapping topics represent an important ingredient of any martech brainstorming session in 2020. As your brand spreads out across touchpoints — from web to mobile applications, as well as call centers, email and direct mail —

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Machine Learning
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SAS Customer Intelligence 360: Introduction to marketing data management

No matter what your brand's level of marketing maturity is, SAS can help you move from data to insight to action with rich functionality for adaptive planning, journey activation and an embedded real-time decision engine – all fueled by powerful analytics and artificial intelligence (AI) capabilities. Let's begin with a

Advanced Analytics | Analytics | Customer Intelligence | SAS Events
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SAS Global Forum 2020: Hybrid marketing with SAS Customer Intelligence 360

After careful consideration of the evolving COVID-19 situation, SAS made the decision in March to cancel the in-person SAS Global Forum 2020 conference in Washington, DC. The health and well-being of SAS customers and employees was the company's top priority in making that decision, and while it's unfortunate that we

Advanced Analytics | Customer Intelligence | Machine Learning
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SAS Customer Intelligence 360: Unified data model, marketing attribution and AutoML

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

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
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SAS Customer Intelligence 360: Analytics as a guiding light

Digital transformation. Yup, I said it. It's over-hyped. But as SAS Chief Operating Officer and Chief Technology Officer Oliver Schabenberger says, "It's also real and powerful. Our world is being liquefied from physical assets into virtual assets, and analog processes into digital processes - the world is turning into bits

Advanced Analytics | Customer Intelligence | Data Visualization
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SAS Customer Intelligence 360: Hybrid marketing and analytic's last mile [Part 3]

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

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Visualization
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SAS Customer Intelligence 360: Marketing AI vision

Your brand is customer journey obsessed, and every interaction with your company provides a potential opportunity to make an intelligent decision, deepen engagement and meet conversion goals. The hype of martech innovation in 2020 is continuing to elevate, and every technology vendor is claiming the following statement: "Bolster the customer

Advanced Analytics | Customer Intelligence
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SAS Customer Intelligence 360: Hybrid marketing and analytic's last mile [Part 2]

In part one 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. In part two, we will share perspectives on: How SAS Customer Intelligence 360 completes analytic's last mile. How campaign management processes can easily

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Data Visualization
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SAS Customer Intelligence 360: Automated AI and segmentation [Part 3]

In parts one and two of this blog series, we introduced the automation of AI (i.e., artificial intelligence) and natural language explanations applied to segmentation and marketing. Following this, we began marching down the path of practitioner-oriented examples, making the case for why we need it and where it applies.

Advanced Analytics | Analytics | Customer Intelligence | Data Management | Data Visualization
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SAS Customer Intelligence 360: Automated AI and segmentation [Part 2]

In part one of this blog series, we introduced the automation of AI (i.e., artificial intelligence) as a multifaceted and evolving topic for marketing and segmentation. After a discussion on maximizing the potential of a brand's first-party data, a machine learning method incorporating natural language explanations was provided in the context

Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Data Management | Data Visualization | Machine Learning
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SAS Customer Intelligence 360: Automated AI and segmentation [Part 1]

Marketers and brands have used segmentation as a technique to deliver customer personalization for communications, content, 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, psychographics, geography, digital behavioral

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