We agree wholeheartedly with Banker’s assertion. At the enterprise level, prediction markets directly address and overcome the communication problems that discourage open sharing of ideas and information such as fear of repercussions and bureaucratic frustration. Additionally, they provide a unified platform that offers employees at all levels of the organization an opportunity to be heard and gives management unique access to previously hidden information.

Consensus Point’s Foresight platform is an easy to use yet powerful solution for enterprise users. Its cloud-based program makes it easily access for employees and provides real-time intelligence to decision makers.

Read the whole thing. We can’t thank Steve enough for his mention.

It’s exciting for us to be assisting a global marketplace in achieving forecasting improvements through social predictive analytics. As various industries find new demands placed on them through the reality of globalization, coordinating collective wisdom must cross language and cultural boundaries. The latest version of our platform is the perfect addition to the global enterprise.

Our release notes for the 7th major release of the Consensus Point platform include:

• internationalization, including native support for French, German, Dutch, Spanish, and Portuguese
• enhanced reporting
• user interface updates

Careful observers will also notice some important changes to our privacy policy. Importantly, we’re now TRUSTe certified, including compliance with the EU Safe Harbor framework.

Our latest round of features and updates are already in place at existing customer installations. To take advantage of the very latest in social predictive analytics, contact us.

The project resulted in a blog that tracked the progress of the study, as well as a final report, which is well worth a read.

One of the interesting takeaways is the report’s conclusion that Web/Enterprise 2.0 is more than just a shift in technology and tools; it’s also a shift in values. Keying off this idea, the report offers a lengthy examination of use cases of E20.

We were pleased to see a reference to Consensus Point (page 15) as a leading provider of prediction markets, along with a crisp definition in the collective intelligence section of use cases:

Prediction markets: these are markets created within organisations for the purpose of making predictions about real-world events; the value of an asset in the market is supposed to be indicative of the probability of it happening. Employees express their belief in the likelihood of an outcome by buying or selling stocks in a prediction asset.

The final section of the report is devoted almost entirely to the policy ramifications of Enterprise 2.0, but just prior to that, there’s an excellent discussion of whether E20 can help identifying good ideas:

For European and worldwide companies, across sectors, a key competitive asset lies in innovative ideas: generating them, turning them fast into market opportunities, as well as learning and adapting from market reaction. Employees are the largest source of innovation inside companies…

E20 seems to offer opportunities for accelerating the rate of innovation and the identification of good ideas through an open approach. Rather than relying on a one-to-one approach, ideas are called for, published and commented openly, where anyone can see and comment on other people’s ideas. This open approach embraces the “publish-then-filter” concept related to web2.0. Ideas and content are first published on the web, and then filtered. This filtering does not rely mainly on the individual expertise of gatekeepers, but on “the wisdom of crowds”.

If you need help identifying good ideas, we’ve got a tool that aligns well with Enterprise 2.0 values. Get in touch.

I’ve written before about how the standalone power of prediction markets can be easily integrated into a forecasting strategy employing multiple tools. So it’s refreshing to see Zweig co-sign this approach in his piece:

Every January, hordes of highly paid experts attempt to predict what the economy and the markets will do in the coming year. Later in the year, nearly all of the forecasts turn out to be wrong.

Here, we hope to offer something different: a blueprint for how to make practical use of these predictions, even when you suspect they are wrong. Taken together, forecasts can point toward the best and worst outcomes you can reasonably expect in a given year—and tell you how confident you should (or shouldn’t) be.

In short, Zweig suggests the following approach:

• Don’t bet a year ahead.
• Embrace error.
• Listen to the markets.
• Average many different forecasts.

“Finally, consult a prediction market…” Our customers would agree because they utilize many different forecasts, including our prediction market platform, Foresight. Contact us to find out how.

McKinsey identifies three types of organizations that have realized significant business benefit from their use of Web 2.0: internally networked organizations, externally networked organizations, and fully networked enterprises.

Here’s there summary of the latter:

… some companies use Web 2.0 in revolutionary ways. This elite group of organizations—3 percent of those in our survey—derives very high levels of benefits from Web 2.0’s widespread use, involving employees, customers, and business partners, according to the survey. Respondents at these organizations reported higher levels of employee benefits than internally networked organizations did and higher levels of customer and partner benefits than did externally networked organizations. In applying Web 2.0 technologies, fully networked enterprises seem to have moved much further along the learning curve than other organizations have. The integration of Web 2.0 into day-to-day activities is high, executives say, and they report that these technologies are promoting higher levels of collaboration by helping to break down organizational barriers that impede information flows.

Our Foresight platform not only contributes to fully networking an organization, but it’s a great fit within an organization that is already moving in this direction, with rich buy-in from stakeholders throughout and on the periphery of the organization. Participation in a prediction market not only increases employee satisfaction, but it improves forecasting accuracy and delivers true ROI. Best of all, it’s a social network in a Web 2.0 framerwork that can be custom integrated into the workflow of an organization of any size.

This is why we were pleased to see this among the final recommendations from the McKinsey report:

Break down the barriers to organizational change. Fully networked organizations appear to have more fluid information flows, deploy talent more flexibly to deal with problems, and allow employees lower in the corporate hierarchy to make decisions. Organizational collaboration is correlated with self-reported market share gains; distributed decision making and work, with increased self-reported profitability.

Leveraging our social predictive analytics solution could be just the thing you need to foster organizational change and collaboration in 2011.

From the article:

Imagine a future in which everyone got by on just three hours’ sleep a night; or in which employers were required to hire equal numbers of men and women for every type of job; or in which a technological meltdown persuaded millions to quit their cities in favour of rural self-sufficiency. Now imagine what each of these unlikely scenarios might mean for your business.

Such thinking might seem woolly but an increasing number of organisations are trying similar exercises as they struggle to make predictions in turbulent times. The practice of “scenario-building” (or “scenario-planning”) can, say its advocates, inform both long-term strategy and present-day decisions but most importantly it can equip senior managers with a mode of thinking that will help them deal more effectively with the unexpected.

I don’t disagree with the impact scenario planning can have, but it’s impact can be refined and strengthened when paired with prediction markets. Imagine if you could get your organization to undertake the exercise of scenario planning by presenting each of the scenarios as questions in a market. The market would offer insight into which of the scenarios are likeliest to have a real-world impact on your business rather than just serving as an exercise in creative thinking or outside-the-box forecasting.

Instead of having to consider the meaning of a seemingly random assortment of scenarios designed to provide outside-the-box thinking–those presented in the example from the article, for instance–imagine if you could know that your employees actually expected one of them to mean something important, for instance if impending legislation made organizational gender equity more relevant than a productivity pill.

If you’re engaged in scenario planning, make sure you’re identifying scenarios worth planning for. Prediction markets aren’t just forecasting; they’re collective forecasting. Let your organization help you know what to expect, with Consensus Point’s Foresight.

Robin is known for thinking big and thinking about the future, and his talk yesterday was representative in both regards. Here’s the abstract:

Catastrophic Risk Forecasts from Refuge Entry Futures
Speculative markets have demonstrated powerful abilities to forecast future events, which has inspired a new field of prediction markets to explore such possibilities. Can such power be harnessed to forecast global catastrophic risk?

One problem is that such mechanisms offered weaker incentives to forecast distant future events, yet we want forecasts about distant future catastrophes. But this is a generic problem with all ways to forecast the distant future; it is not specific to this mechanism. Bets also have a problem forecasting the end of the world, as no one is left afterward to collect on bets. So to let speculators advise us about world’s end, we might have them trade an asset available now that remains valuable as close as possible to an end. Imagine a refuge with a good chance of surviving a wide range of disasters. It might be hidden deep in a mine, stocked with years of food and power, and continuously populated with thirty experts and thirty amateurs. Locked down against pandemics, it is opened every month for supplies and new residents. A refuge ticket gives you the right to use an amateur refuge slot for a given time period. To exercise a ticket, you show up at its entrance at the assigned time. Refuge tickets could be auctioned years in advance, broken into conditional parts, and traded in subsidized markets. For example, one might buy a refuge ticket valid on a certain date only in the event that USA and Russia had just broken off diplomatic relations, or in the event a city somewhere is nuked. The price of such resort tickets would rise with the chance of such events. By trading such tickets conditional on a policy that might mitigate a crisis, such as a treaty, prices could reflect conditional chances of such events.

Okay, so that’s not a traditional business problem. But if you’re an executive who’s uncomfortable with uncertainty, you should get in touch with Consensus Point.

“Dr. Laffer’s insights have had a profound effect on fiscal and economic policy over the past decades,” said Consensus Point CEO Linda Rebrovick. “And we’re profoundly excited to have someone of his stature bring his wisdom to bear on this exciting technology and its related opportunities.”

“I’ve been intrigued by the broad applications of prediction markets since I first became familiar with the concept,” said Laffer. “The power of markets has shaped my thinking and the world, and I’m delighted to be able to advise Consensus Point and help enterprise find greater efficiencies and thus greater profits through the use of a powerful prediction markets platform.”

About Arthur Laffer: Dr. Laffer is the founder and chairman of Laffer Associates, an economic research firm that provides global investment research services to institutional asset managers, pension funds, financial institutions, and corporations. Previously, he was a founding member of the Congressional Policy Advisory Board (105th-107th Congresses), a member of President Reagan’s Economic Policy Advisory Board (1981-1989), and was the first Chief Economist at the Office of Management and Budget (1970-1972).

Laffer currently sits on the board of directors or board of advisors of a number of companies, including Alpha Theory, Armor Concepts, Atrevida Partners, BAP Power, BridgeHealth Medical, Cubit, Dataium, Executive Trading Solutions, HealthEdge Partners, LifePics, and Pillar Data Systems.

About Consensus Point: Consensus Point, a Nashville-based company, offers Foresight, a leading social predictive analytics solution providing forward-looking indicators to identify real-time emerging risks and trends in demand management, innovation management, and major initiatives.

Trades in the market will reflect the confidence of investors in a startup’s ability to hit milestones including funding, pitches, and product launch. The EC Exchange also acts as a forum for dialogue and feedback between startups and the community excited by what they’re doing.

The Entrepreneur Center serves as the “Front Door” of Nashville for entrepreneurs. It serves as a gateway that fuses training, relationships, and resources to cultivate economic development and drive Nashville’s future as the epicenter of entrepreneurial endeavors.

For more information on ECX, just ask.

Prediction markets are an emerging way to aggregate individual opinions and insights into remarkably accurate forecasts. In a prediction market, participants trade “contracts,” essentially bets on future events, such as the outcome of an election or success of a new movie. The system is very similar to stock and futures exchanges, where participants buy and sell contracts based on their expectations. Contract values are proxies for the underlying probability that an outcome will occur, as expected by the market participants.

Effectively used by companies such as Hewlett-Packard, Google and Yahoo!, prediction markets are being implemented in a growing number of organizations. Common business questions include: What are sales for a given product going to be next quarter? Will the price of a particular raw material be higher or lower in three months? How many customer complaints are we going to receive by a particular date?

Prediction markets provide an innovative and efficient way to mine and aggregate otherwise buried information and insight. They offer a powerful new way to harness collective intelligence – turning unspoken views and tacit knowledge into tangible, quantitative predictions about the future. While the structure of these markets may vary, they all share the same goal: better information revelation. The assumption is that with the right motivation, large numbers of diverse participants can do a better job of predicting future events than the smartest individual.

This is a nice summary of the concept of prediction markets, including wonderful examples of the kinds of questions that emerge in successful implementations. We’d contend, though, that prediction markets are no longer “emerging”; they’re in the field and yielding success. Just ask our customers, many of whom are experiencing improved forecasting guidance by getting collective answers to questions similar to those provided as examples by Moxie.

In the process of getting to a more collaborative enterprise, our Foresight platform can build much stronger capacity for pooling judgments. As Moxie notes, in this series called Boardroom Imperatives, the business outcome is accurate business forecasts. If this outcome appeals to you, let us know.