If I ask you to imagine a New Delhi street scene, you'd likely picture bustling chaos with, inevitability, motor scooters zipping every which way. But are analytics and empathy in your mind's eye? They ought to be.
You see, Hero MotoCorp, the world's largest producer of two-wheeled vehicles, likely made many of those motor scooters you envisioned. And, as we learn in a recent MIT Sloan Management Review article, "The Benefits of Combining Data With Empathy," Hero MotoCorp stands out among companies in its use of "evidence-based empathy grounded in data analytics."
Right about now, if you're like me when I first read that phrase, you're probably wondering, "Huh? What the heck is that?"
That, authors Ritu Agarwal and Peter Weill explain in the piece, is an approach through which companies apply data compassionately in response to opportunities and risks -- a particularly valuable strategy in volatile environments. In New Delhi, for example, Hero MotoCorp supplemented its basic customer relationship management data with a compassionate program aimed at facilitating purchases by females, a rapidly emerging market opportunity, the authors said. Agarwal, who is a professor and the Robert H. Smith dean's chair of information systems at the University of Maryland's Robert H. Smith School of Business (as well as founder of its Center for Health Information and Decision Systems), and Weill, who is a senior research scientist and chair of the MIT Sloan School of Management's Center for Information Systems Research, explained:
Young women, who were entering India's workforce in droves, were uncomfortable, even intimidated, about shopping for motor scooters. Some were concerned about how they would look astride a scooter. In response, the company designed a new product and a new program called 'Just 4 Her,' with its own showrooms staffed by women. Female customers can view how they look on the scooter behind the privacy of a curtain.
Would a manufacturer serving well-established markets in Asia, Europe, or North America go to such extremes to make potential customers comfortable? Would they think twice about wrapping up their data with empathy? I would say not.
Certainly companies are finding the need to balance gut, or instinct, with data; to develop an analytics culture; and to turn CRM programs into customer experience management programs. But I don't believe I've encountered any that would say they're thinking about data empathically. Agarwal and Weill put it this way: "It seems that many large companies have become so focused on optimizing their business processes and systems that they have become all too willing to forget about cultivating emotional connections with customers."
They caution that companies that place too much emphasis on process and systems could find themselves in a precarious position when trying to deal with unpredictable global business environments.
In order to detect and respond to shifting customer needs, companies need to show more, not less, empathy with their customers. Some companies have found an approach that achieves that -- one that joins three important capabilities: the ability to optimize business processes and technology, the ability to foster emotional connections and the ability to use data empathically.
They call this approach "softscaling." As you can see below, comprises optimizing business processes, informed empathy, and nurturing of the emotional connection.
I won't delve into softscaling here, but it suffices to say that "The Benefits of Combining Data With Empathy" is a fascinating read and well worth your time -- whether you're thinking about the challenge from a business or analytics perspective. The authors give us lots to think about -- so much so, in fact, that we've invited Agarwal and Weill to join us for an e-chat on empathic data use. Mark your calendars for Wednesday, November 14, at 3:00 p.m. ET, and get your questions ready. We'll be chatting here.
And in the meantime, share your thoughts on empathy and data analytics below. Does the idea resonate with you?
Yes, and I would hope that when they receive it, they hearken back to their college professors who pled with them to remember to be empathetic when they achieved management status!
It's hard to tell. As they graduate and move into their first jobs, there are a lot of pressures. They are the new kid on the block, and they're pretty much being told what to do, when and how. They aren't empowered to ask questions like: "Is this the right thing to do for the customer?" They may hearken back to my impassioned pleas to be humane and empathetic. They may remember articles I made them read or discussion we had in class, but I get the sense that they often don't feel like they can do much about it. If their boss says "Go through this list and find all the unprofitable customers so we can get rid of them", then that's what they do. So I try to be real with them, I try to tell them that even if they can't do much about it at the start of their career, don't forget the lessons I'm trying to teach them so that when they become the supervisor, they can tell their new hires to be sure to analyze with empathy.
This is a theme I'm constantly pushing with my students -- there are people behind those numbers. I like to use the example of law enforcement profiling. This is a controversial topic because it uses analytics to essentially brand some people as bad, or at least as a risk. But those are real people. We can't forget that even if the computer says they're bad, they're still a person with rights, feelings, etc.
I'm not sure if this one flls under empathy as well... I'm thinking of brands that don't sell mini-versions of their products because their target market is the top tier of spenders. Yet if they can sell a smaller pack of that expensive perfume, someone outside that top group will be able to try it, and maybe use it occasionally.
@callmebob, I was initially thinking that perhaps as companies embrace customer experience management programs over customer relationship management, they might become more empathetic. But the more I thought about it, the less I believe that. I think the focus in either case is in "managing" customers in order to get the most out of them vs. a focus on gaining a true understanding of customers and a desire to act on their behalf.
There seem to be a cultural component at play as to the degree of empathy applied. In the European or western marketing approach, the product is the connection and point of emphasis, not much effort or consideration is applied beyond.
Would they think twice about wrapping up their data with empathy? I would say not.
I think too many companies give their customers short shrift, and by doing so lose out. Before reading about the Hero MotoCorp and their women and scooters example in India I had seen an article from a disgruntled woman about sports bra manufactures - essentially criticizing manufacturers who didn't make an effort to design sports bras for large bosomed women. Maidenform probably has tons of data but minimal softscaling capabilities based on this example.
Randy Bartlett, author and seasoned analytics professional, will join us this Friday, May 17, at 2:00 p.m. ET for a radio show on ensuring organizational change for the good of business analytics.
LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
The Current Discussion
Visual Analytics: Who Carries the Onus? The Issue: Data visualization is an up-and-coming technology for businesses that want to deliver analytical results in a visual way, enabling analysts the ability to spot patterns more easily and business users to absorb the insight at a glance and better understand what questions to ask of the data. But does it make more sense to train everybody to handle the visualization mandate or bring on visualization expertise? Our experts are divided on the question. The Speakers: Hyoun Park, Principal Analyst, Nucleus Research; Jonathan Schwabish, US Economist & Data Visualizer
To save this item to your list of favorite AllAnalytics content so you can find it later in your Profile page, click the "Save It" button next to the item.
If you found this interesting or useful, please use the links to the services below to share it with other readers. You will need a free account with each service to share an item via that service.
Dynamic data visualizations let analysts and business users interact with the data, changing variables or drilling down into data points, and see results in a flash. Advance your use of data visualization with tools that support features like auto-charting, explanatory pop-ups, and mobile sharing.
No doubt your enterprise is amassing loads of data for fact-based decision-making. Hand in hand with all that data comes big computational requirements. Can traditional IT infrastructure handle the increasing number and complexity of your analytical work? Probably not, which is why you need a backend rethink. Big data calls for a high-performance analytics infrastructure, as Fern Halper, a partner at the IT consulting and research firm, Hurwitz & Associates, discusses here.
Redbox's bright-red DVD kiosks are all but ubiquitous these days, located in more than 28,000 spots across the country. Jayson Tipp, Redbox VP of Analytics and CRM, provides an insider's look at how the company has accomplished its phenomenal nine-year growth.
InterContinental Hotels Group (IHG), a seven-brand global hotelier, has woven analytics into the fabric of its operations. David Schmitt, director of performance strategy and planning, shares IHG's analytics story and his lessons learned.
Elizabeth Barth-Thacker, a BI and informatics technology manager at Humana, tells us how her team is creating data transparency and building engagement with the business – with the help of an internal collaboration portal called Humanalytics.
Speaking at SAS Global Forum Executive Conference, Rajeev Kaul, SVP of pricing at OfficeMax, uses a Chinese proverb to explain one of the reasons he's deploying SAS Visual Analytics.
In an All Analytics interview, Mike Cavaretta, technical leader, predictive analytics at Ford Research & Advanced Engineering, shares how big-data is fueling vehicle decisions.
Analytics professionals and SAS executives share how organizations can get on with their work so much faster when working in a high-performance and visual analytics environment.
Analytics professionals who attended SAS's recent Executive Briefing in New York share how they think visual analytics might help their organizations get better value from data.
At Boeing, effective decision making comes down to this simple formula: QxA=E, as executive Jerry Allyne explained at the recent INFORMS analytics conference.
Whether working in major league sports, financial services, or healthcare, analytics, and data, professionals are checking out how visual analytics and high-performance technologies can help them optimize their environments, shrink their cycle times, and improve decision making, as attendees at the recent SAS Executive Briefing in New York share with us.
SAS CEO Jim Goodnight speaks with us at a recent SAS Executive Briefing about getting a feel for what's in your big-data and other new realities powered by advanced analytics.
Jim Davis, SVP and CMO at SAS, talks with us at a recent SAS Executive Briefing about how high-performance analytics and visual analytics take away the concerns over big-data and let companies get down to business with their data.