Lyzasoft wasn’t among the 38 exhibitors in TDWI’s Las Vegas exhibit hall. Lyzasoft sponsored no part of the lunch, and they hired no stage magician. But their buzz was the loudest I heard over the event’s five days.

Others may have heard different buzz because buzz varies. Business intelligence elites gather every year at TDWI’s big Las Vegas event to teach, and they end up schmoozing, too. Over beer, food, and sometimes playing cards, they compare notes.

Is anyone seeking a consensus? I suppose someone might, but the interesting ones just play with ideas, reflect on what others say, make a joke, and think about it. If there’s any “truth,” it develops during a lot of talk and thought, whether it’s about politics, tofu, the future of passenger rail in America, or business. That goes for any kind of conversation, whether the medium is words or data.

In business, the conversation is somehow forgotten in favor of the data. But to Scott Davis, CEO of Lyzasoft, the conversation is critical to understanding the data. “A chart has no context at all,” he said in mid February. “The conversation is what’s really valuable.”

The conversation-free, top-down “single version of the truth” isn’t always useful for those who need to manage data for specific uses and contexts. Its “truth” may in fact be no better than Soviet planners’ forecasts of market demand for women’s lingerie. “A single version of the truth,” said Third Nature research director Mark Madsen in Las Vegas, “is true for a single beat of the corporate heart.”

Enter Lyza 2, Lyzasoft’s new version of its data-wrangling and collaboration tool made for data analysts determined to create truth for specific uses and context. The first edition of Lyza offered Excel-like personalization. In the new edition, collaboration seems to have been the guide.

You could see this year’s improvements coming in last year’s email from Lyzasoft CEO Scott Davis: “Even though they are quants, their world is personal,” he wrote. “Relationships are vital. They think in terms of ‘who do I know who knows X type of information sources?’” He could have also been talking about journalists, artists, and anyone else who has to hear signals within noise.

In the new edition, Lyza encourages fluid interactions with a variety of social-media tools: email, Twitter-like messaging, SMS messaging, bookmark collections with annotations, and other tools track and fortify discussion. Lyza lets people work easily with other smart people they trust. If “Steve” believes that “Brian’s” work is good and “George’s” work is not, he can work with only Brian’s data. It also publishes to the new tool, Lyza Commons, for even greater collaboration while retaining users’ ability to interact with data. Lyza 2 loves a good conversation.

The data and everything that happens to it gets tracked automatically. Unlike in Excel worksheets, changes are transparent. Automatic documenting allows any change to be dug up and fixed. If only the data-free conversations in politics and other parts of business had such a tool.

I was surprised to hear spontaneous praise for Lyza’s new version. eLearningCurve education director Dave Wells and Third Nature principal and one of the event’s keynote speakers Mark Madsen both did. I heard the same from several other BI experts, too. Madsen even gave a brief look at Lyza in his Executive Summit presentation on the future of BI.

I harmonize with people who appreciate Lyza at least partly because I think it’s smart to let people work the way they want to work — the way people have always worked. They prefer working with people they trust and with tools that respond. Everything else is static.

I’m sorry to tell you serious types out there, but visual analysis is often a game — in fact, one of the best games in town with Tableau Software’s visual analysis tool. Now Tableau Public is going to bring it to the masses.

In the same way that YouTube spawned a surge of new filmmakers, Tableau Public — free, running the same engine as its desktop sibling, and embedable — will bring on a new generation of data players and spectators.

I was a spectator at a data visualization conference one afternoon two years ago. Tableau Software director of visual analysis Jock Mackinlay had finished his presentation and another person had started his. Yet someone at the control board forgot to flip a switch, and Jock’s live screen remained on one of the room’s big screens. Jock assumed his screen had been hidden, and he kept playing with the data. I don’t have to tell you who seemed to have the audience’s attention until someone pointed out the problem.

The mere visual distraction was minor. Even without narration, I got caught up in the apparent drama as he tried one look at the data after another.

Not long after that, I wondered aloud to someone at Tableau about data hobbyists. I imagined people who foraged for data to analyze then publicize it to start conversations, collaboration, or duels. Data would be their raw material of choice just as scrap metal is to some sculptors or overheard conversations is to some fiction writers.

There was no such community visible then. But I realized this week that I know one now: Dan Murray, a skilled, dedicated Tableau user. He jokes that he’s a “freak” because he analyzes data from the federal budget and posts his often provocative analyses. He’s already been answered by at least one who disagrees with him.

In beta and since its February 11 launch, Tableau Public has hosted a flurry of visualizations, including these: a map of top venture capital firms investments by U.S. region; a chart showing how long it takes to build a technology empire; a history of earthquakes in Haiti; a neighborhood breakdown of housing supply in Seattle; trends in U.S. high school graduation; and studies of deprivation and marginalization in education. In most cases, spectators can become players by selecting subsets of the data to find answers to their own questions.

With popularity comes some misuse. Many of the charts will break rules, such as what happens in another kind of game, YouTube. A New York film editor I know complains that many YouTube-acculturated film editors have neglected basic editing principles. She writes that they rely so much on special effects that they “can’t put two shots together and have them work as an unembellished edit.” On Tableau Public, there will be pie charts, chart junk, and even baselines that do not start at zero. We’ll survive it.

But what’s all this got to do with the very serious practice of business intelligence?

Like monks must have done when printing presses began producing books for the masses, many priests of business intelligence will stand aside, arms folded in the aspe chapel. But I predict that before long even they will appreciate a wider, deeper pool of analytical talent ripening for training and employment.

I suspect that the new bunch will have been sharpened by the give and take of public exposition. They’ll also learn from playing in a huge community the way artists and craftspeople of all kinds improve their skills when they bump into peers every day.

This is a new clue for the future of BI. It can’t help but improve data analysis in business. So let the games begin.

With all the talk about technology, let’s pause to refresh with three basics — culture, conversation, and collaboration. These basics will take center stage in BI’s future, and they’ll help decide which tools dominate.

Lyzasoft CEO Scott Davis and I have been reading the same book, The Culture of Cities by Lewis Mumford. The great thing about Mumford, said Scott, is his mastery of so many subjects, which lets him see relationships and meaning among facts that might otherwise seem irrelevant to each other.

The intelligence that soaks up through every paragraph makes the book a thoroughly enjoyable and insightful chew.

“Think of the most intelligent people you know,” he said. “Are they intelligent because they have an encyclopedic knowledge of facts? Or is it their ability to see relationships? I would say it’s door number two, right?”

Trouble is, we can’t all be Stephen Hawking or Lewis Mumford. That calls for linking of minds. That is, collaboration and conversation. We have to find a way for normal people to find a way to see relationships and offer them.

Train people?, I suggested. Maybe, he replied, but what would that say about the state of BI? It’s natural to have conversations and collaborate. Relevant knowledge and observations bubble up as people focus on something and make associations, gradually raising the group’s insight.

But today, BI platforms make contributing difficult. “BI designers decide what reports are going to be out there, and that’s the well you can drink from.” Instead, people should be as free as in any conversation to make new syntheses, to comment, to recommend — “all the things you’d expect at a dinner party. BI doesn’t feel like a dinner party, does it?”

“I suspect,” he said, “that even though we don’t see it within formal tools, it really is happening, such as through email, spreadmarts, the water cooler and such.”

First comes culture. “If you don’t have that culture that draws people into that practice [of collaboration],” said Scott, “you can have all the tools in the world and it isn’t going to help.”

Next come tools. “There are technological things we can do to make contributing more routine.” He mentioned two mashup tools he likes: JackBe and NetVibes.

The entrenched players are going to change, he predicts. Either Cognos and BO and the others will become a lot more like JackBe and NetVibes, or else companies like JackBe and NetVibes will become the dominant players.

He said, “Ultimately, open and relational are going to win.”