Third Idea Consulting

So I took another briefing with Sword Ciboodle yesterday regarding its SAS-powered CRM suite for mid- to large enterprise. That makes something like four in the past two months. These folks really want to get the word out—when I worked at CRM magazine, we typically didn’t have editorial staff meetings as often.

I’ve already discussed Ciboodle One (the agent desktop) in this space, so I won’t repeat myself except to say that it’s probably the cleanest and best example of its ilk I’ve ever seen. I haven’t had as much time in front of the other elements, Ciboodle Flow and Ciboodle Live, at least until yesterday. Seeing the components working together made a better case for integrated CRM with top-flight analytics than anything I could say. Ciboodle gets it.

Ciboodle also treated me to a demo of Ciboodle Crowd, the last link in the chain. [Warning: Link contains unfiltered marketing content. Caveat lector.] Crowd is the social platform. More to the point, it’s the environment for companies to manage their participation in social CRM. Looks good, and it clearly isn’t dependent on any specific social media, so it can adapt as old players drop out and new ones appear.

All this is good for CRM, good for Ciboodle, for SAS, and also for consultants like me. SAS was smart enough to partner with Ciboodle to provide applicability and usability in CRM, and Ciboodle was smart to recognize the value of powerhouse business intelligence. Together they provide a suite with a lot of possibilities built in. And to their credit, the companies provide the services to back it up, so that the customer isn’t purchasing six-figure shelfware. Capgemini appears to be helping to achieve this end.

But vendor services can only take you so far. There are still too many potential buyers of Ciboodle’s suite who have only a vague idea of what they want from it, or who haven’t put their organizations through the sort of cultural and process evaluation needed to get the most out of the purchase. Mistakes can be made with those tools even when they’re used correctly, at least in a technical sense. A hammer and chisel work really well together, but you probably shouldn’t use them to defrost your freezer unless you’ve carefully considered how to do it and understand the risks involved. (I have done this, and despite due consideration managed to wreck a freezer by focusing on individual hammer blows instead of the big picture.)

When somebody decides they want to become an astronaut, the first step in that journey is not flight training and mission briefings; it’s learning about the job, the dangers, and the potential benefits. Ciboodle and SAS have built a mighty space vehicle, and they are providing top-notch training to anybody who enters the program. I get to be the career counselor who makes sure it’s a good fit, and I can definitely live with that.

You may have already heard the announcement from June 3 about Sword Ciboodle using SAS Realtime Decision Manager (RDM) analytics in its new contact center application, Ciboodle One. If not, you have now. I’d have told you about it sooner, but I didn’t get the official briefing until today—I couldn’t share what I knew until then.

The curious can see Ted Hartley, chief channel officer for Sword Ciboodle, talk about the combined SAS RDM/Ciboodle One value proposition here.

According to Ted (he’s a friend, so I can use his first name), Ciboodle was approached by SAS about six months ago seeking a business application to support with its RDM technology. Around the same time, the Ciboodle boffins were thinking of how to create a more compelling experience in the contact center. Faster than you can say “you got your chocolate in my peanut butter,” the two companies were coding up a system to use existing data to increase the comfort level of customers at the point of contact. Ted says it’s a continuation of the focus on voice of the customer, but now getting into the mind of the customer.

The result is likely to be a new high water mark in customer intelligence and frontline service. SAS is the first name in analytics, and Ciboodle has one of the sweetest CSR agent desktops I’ve seen. With SAS handling high-level intelligence and pushing the results to the Ciboodle desktop, agents can have a better sense than ever before of who they’re talking to. This means better routing, less repetition, and smarter cross-sell/upsell. Most importantly, the agent sees the customer’s history, recent activities, and attitudes so there is a basis for communication—it feels like a relationship, not just a transaction.

The SAS-powered Ciboodle One is rolled out in North America presently, but according to Ted the SAS salespeople in other regions are already calling to ask for the partnership to be extended further abroad.

There’s been a lot of maneuvering going on in the CRM space (as I noted at the tail end of this post), especially where business intelligence meets customer service and social CRM. There’s more to the story in development as you read this, so my lips are sealed until things become official. All I can say is this: The contact center is the natural home for social CRM, and a social engagement model that uses serious analytics is bound to make a difference if somebody can develop one. Stay tuned.

As you might have seen from my recent tweetfest, I’m in Seattle at the SAS Global Forum. The reason, other than my need for frequent-flyer miles, is to learn about the analytics company’s new Social Media Analytics product.

The Disclosure:

“SAS invited me to their SAS Global Forum user event as their guest to attend the launch of SAS Social Media Analytics. They paid my airfare, hotel and conference registration fees and gave me access to the product for evaluation.” [Their words, but I accept and endorse them.] In other words, this.

The Assessment:

I have said previously that a company that develops a truly effective social media analytics package that includes sentiment and modeling in depth, and can tie it into CRM, has essentially created a license to print money in today’s social CRM-focused world. I haven’t seen enough of SAS Social Media Analytics (SMA) to say if it achieves this, but the demos put me in a favorable frame of mind. Analytics (has? have?) come to my social media world, and this is a Good Thing.

SMA is more than a dashboard or reporting engine. It gives the user live interactive access to conversations about the brand. The view is not static, but can be tracked over time, against multiple sentiment components. The data models are subject to updates and new instructions, so what you capture can be sliced and re-sliced as needed. This human angle—user input refining the model—is a big deal to me. It prevents SMA from being a black box.

SMA is a slightly misleading name, in my opinion. It’s media analytics, which includes social media. I’m not faulting them on the name, mind you; social media are harder to track because each piece evolves with use. One could argue, though, that all media today are social media, since everything that’s published seems to end up on the Web with comments and links.

SMA doesn’t come cheap. While SAS is describing SMA as an “on-demand” application, there is an initial investment in data gathering and modeling, and a fee of $5,000 to $15,000 per month. I’ve overheard SMA described as “an enterprise-class Radian6,” and that’s probably a fair estimate. Radian6 appears to be more focused on engagement (which is VERY important) while SAS is playing to its strength in analysis, but both companies have capabilities that mirror the other. The way I see it, if you can afford to spend SAS money and get value from that expenditure, you probably should migrate from Radian6. It’s not just a question of money, though; I’m sure there are some massive businesses that need exactly what Radian6 provides, no more and no less. SAS has a reputation for brute-force analytics power (emphasized with last night’s demo of a multiple-terabyte process run in two minutes), and that’s got to be worth the price tag for a lot of businesses as well.

The Questions:

There are some things that still need to be answered for me, hopefully with an in-depth demonstration. For one, I don’t know how quickly SMA responds to new rules and model parameters. Would I need to back away from the workspace to change keywords and sources, then start over? Or can I play fast and loose, tweaking the factors as I go?

For another, almost everything we’ve seen today is about internal analysis of what happening in the socialverse. There hasn’t been much emphasis on the engagement portion, or on closing the loop and reiterating the feedback process. It looks like the customer is still “out there,” rather than at the core of the business process. To be fair, this is an analytics product, so I shouldn’t expect something else. Still, some more examples of how SMA can have an effect over time on the customer sentiment it monitors would not go amiss. My interest is social CRM, not merely social media—the customer and the opinion-maker need to be right up front. Capturing the voice of the customer is good, but listening to it and then capturing the ear of the customer with your response is better.

Overall, though, my first impression is that SASSMA is a promising product that arrives at the right time. I’ll be keeping my eye on this and providing you with updates as needed.