Be BI smart and respond (but that includes proactive listening too)

The journey of this post starts here: “Business Intelligence Meets BPM: Using Data to Change Business Processes on the Fly” by Kim S. Nash (CIO.com, 17 June 2010). On one hand this is fascinating stuff — collecting data, analyzing it and distilling information that objectively drives business action. The business side of my brain goes, “Wow!” But then reality sets in and that, “Wow” turns to, “Wow, scary.” This freight takes two forms:

1) The private person in me shutters to think that Big Brother is not only watching but he’s storing, tracking, cross referencing and analyzing too. This is taking place at and unimaginable level of granularity.

2) The business side of my brain also appreciates the fact that Guests are people. They are not just data points on a graph or cells in a spreadsheet. Analysis is certainly essential but one would bet there are plenty of companies over-valuing this new found power. They are forgetting that they are in business to serve people, not just respond to ones and zeros. As a matter of fact, read this article first: “Superhighway to Hell” by Stephen Saunders (InformationWeek.com via InternetEvolution.com, 19 June 2010).

Back to the first article by Kim Nash. There are some bits to this article (pull out of the context of the whole article) that beg to be addressed AU style:

As Kilcoyne and Coyne learned, modern business intelligence and analytics tools can extract data from enterprise software, populate pre-built statistical models and quickly produce insights that used to take weeks. “In the past, doing predictive analytics needed a PhD in statistics to build a model and interpret results,” says Aberdeen’s White. But newer analytics tools “hide the underlying statistical nerd details,” he says. “Business people don’t have to worry about how the sausage gets made.”

One word: Derivatives. No one needed to understand those either, correct? Information is only as good as the understanding the business people have of the data that was used to compile it. A report without caveats and context is no report at all. If BI is about removing assumption then that thoroughness should be part of the end to end approach.

Key to game-changing decision making is the ability to detect and respond to market changes, taking into account historical knowledge. DirecTV uses analytics to save customers who want to cancel their television service. The company started the program two years ago when it sought to cut churn rates.

What’s interesting is that the examples sited are all reactive. There is some action and then analysis is used to define the appropriate way to respond. Maybe this should be supplemented with a proactive approach as well? That is, avoid upfront engaging customers who don’t meet the good customer profile. For example, for a fitness club, membership retention would be less of an issue if the right customers were attracted in the first place. Waiting to see who leaves seems archaic, no?

How hard agents press depends on how valuable the customer has been to DirecTV, Gustafson says. “There are some people we just do not want to lose.” About 60 percent of customers who want to depart are deemed worth trying to save, he says. The company uses tools from Teradata and SAS to analyze past behavior, evaluating data such as the average annual revenue the customer represents, her payment history and how many pay-per-view shows she buys.

This is a perfect example of forgetting that we’re dealing with real people here. Maybe I am a marginal customer. But if I have 500 Facebook friends and 1,000 Twitter follows then that should be a factor too. To simply place a value on an account (notice I did not say guest or customer) is at best dangerous if the evaluation is this superficial.

Every customer saved is one less customer the company has to try to win back weeks or months later—an expensive process, Gustafson says, that can involve mailings, e-mail and telephone calls as well as sending someone out to reinstall the service. “When the customer first calls, they have a certain mind-set: They want to cancel,” he says. “When we call back, they’re unprepared. It’s a little psychological advantage we have.”

Oh no he didn’t! Forgive me if this sounds insulting but only an idiot would go on record saying such a thing. But again, Mr. Gustafson’s statement is another example of forgetting that guests are real people, not rats to be manipulated.

Now, though, the My Coke Rewards program has helped the company develop more in-depth knowledge about loyal customers. The inside of every bottle cap is printed with a 12-digit code that customers can text or type into a website or desktop widget to accumulate points that can be exchanged for prizes and other awards. Those who opt in to e-mail marketing receive regular offers to gain more points, as well as other marketing pitches. Each is customized based on segments created from demographic information and behavior collected by the site. On average, 285,000 customers visit per day, entering an average of seven codes per second. Information embedded in the codes may include a region or location where the bottle was sold and whether it had special packaging, such as an Olympics logo, that Coca-Cola uses to tailor its pitches.

Read that again… It’s not a 12 digit number, it’s a code. In other words, you can’t drink a soda in peace without wondering when and how Coca-Cola is going to watch you. Scary, right?

After four years, My Coke Rewards is among the longest-running marketing programs in Coca-Cola’s history. And as the program has grown, the company has changed the way it runs in response to insight from analytics, Rollins says.

First, of all the programs Coke has ever had four years constitutes “among the longest-running”? MyGawd, has their marketing department been thinking or just rolling the dice and hoping to find something that sticks. Must be nice to have that type of budget. Furthermore, this reads as if they are responding to analysis, not guests. Not good.

Coca-Cola uses the FICO Precision Marketing Manager suite of statistical analysis tools to study data from its websites. Marketers look at which come-ons elicit the most and best responses, says Thomas Stubbs, Coca-Cola’s interactive marketing director in global IT. Coca-Cola also exchanges data with companies that supply prizes, including Nascar, Nike (NKE) and Sony. “As technology has evolved, we’re able to do more and have a relevant dialog with customers, not just push our ideas out there,” he says.

“A man might not want to admit that he’s a Diet Coke drinker. He will say in a survey that he prefers Coke. But we see he enters only Diet Coke PINs and market accordingly.”

Danger Will Robinson! While it’s true that Coca-Cola might want to know more about who consumes their products, Coke is treading on thin ice if they believe that their definition of the guest is better than the guest’s himself/herself. Do such details constitute useful information? Yes, of course. Might they also be making over-confident decision, and possibly insulting the guest? Yes, that’s very true too.

The idea is not just to save business but to create new business. Successful projects spark new ones. Analytics tools help companies create more money-generating interactions with customers and shave costs from internal operations. CIOs should connect analytics technologies with ideas about refining business processes, says Aberdeen’s White. “Meld them together and that’s very powerful.”

Bottom line… it’s about The Guests, not data and analysis. This shouldn’t be about “refining business process” but about improving The Guest Experience. Same ends? Maybe (but probably not). Different means? Yes, very different means. One puts The Guest first and one does not. If you could analyze the two approaches which would you bet to be the winner? Of the companies you deal with which try to improve The Guest Experience and which are more concerned about their processes and their bottom line?

And finally, to help get it all back into perspective: “It’s Not Your Relationship to Manage” by Lauren McKay (CRM Magazine via DestinationCRM.com, May 2010).

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