Eric Kavanagh: Yeah, it's a very, very good point, know what you are trying to accomplish when you put something together. Rich Penkowski, how about you, any closing remarks?
Rich Penkowski: Sure Eric. I would have to say sort of the biggest promise that data visualization offers is the ability to get some answers to questions that have been eluding organizations for a long time. And so I think that encouraging everybody in an organization to think about those, we like to call, crunchy questions that need to be answered and then apply some of these sophisticated techniques to get the answer. I mean the more organizations can begin to really look at that, looking at those specific applications and those kinds of questions, they are going to get a speed to value that is far faster than anything they have seen with any other technology investments to date.
Eric Kavanagh: Yeah right, that makes lot of sense to me too. Byron, closing remarks from you?
Bryon Igoe: Sure. I don’t want to be pessimistic, but I think that it is a double-edged sword to have an effective data visualization give you such a gut reaction, high level view. There could be some sort of truthiness to the information and you might end up making the wrong decision. So always keep in mind that, as other people have said, you got to double check and use it for the right purpose.
Eric Kavanagh: Yeah, I love that word truthiness, it's so, what’s the word, appropriate, maybe. Let’s see. Doug Cogswell, what do you think for closing remarks?
Doug Cogswell: Yeah. We like to say that this stuff helps key business people see stories and solve problems. So back to Mark and Rich, this involves you to have a defined problem somebody is trying to solve and then second, we like to make sure we understand the half a dozen, dozen key business questions that are trying to be answered. But then the third thing is, we also like to try to understand why those questions can’t be answered today and there is usually a reason. But when those things align, it’s a very, very powerful tool and helps people make better decisions.
Eric Kavanagh: Okay good. And for the last word, we will go to Suzanne Hoffman of Tableau. What do you think?
Suzanne Hoffman: Well, it's interesting because it's sort of a compendium of everything that everyone said. We don’t want to overly contain someone’s creative juices, right? As we have commented, we have got a lot of millennials out there. We have a lot of people who are in their 20s and 30s that if we actually try to stir them in the direction that we have gone in the past or the perceived right direction, we are actually limiting their ability to react in real-time to what’s happening in the marketplace.
So it helps them think outside the box but go back to that old adage of measure twice and cut once. So you do want to have the checks and balances to ensure that the decisions that are being made or being proposed are in fact correct and made in the context of the decision making framework.
Eric Kavanagh: Makes a lot of sense to me. Well folks, we have burned through an hour but a very big thank you to all of our guests today and of course, a very big thanks to our sponsor Tableau Software; more information about them online.
This does conclude our broadcast but we hope to catch up to you next week when I believe we are going to be talking about data science the next week or the week after. So that’s the hot topic these days. And if you have any questions or comments, feel free to tweet away with a Hashtag @DM Radio, or you can email yours truly dmradio@sourcemedia.com. With that, we will bid you farewell folks. You have been listening to DM Radio.