Guest blogger Len Tashman previews Spring 2017 issue of Foresight

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Preview of the Spring 2017 Issue of Foresight

Grazing Elk

Elk herd enjoying the Colorado spring

Since our first issue in 2005, Foresight has strived to serve up articles that unite the scholarship of our field’s academic researchers with the perspectives of experienced organizational practitioners, all the time emphasizing lessons learned—and sometimes those lessons are learned the hard way.

The buzz in this issue begins with a couple of “b” words.

Bias is the first. Many business forecasters and researchers consider that forecast bias is not only a serious problem but one that can be significantly mitigated. One source of bias is statistical, resulting from models that haven’t adequately reflected reality. More serious perhaps is the organizational bias emerging from conflicts between component units (silos), frequently the result of misplaced incentives.
And that, says Roy Batchelor in our lead article, Earnings Forecasts: The Bias Is Back, is precisely the problem:

Financial analysts consistently overestimate the annual earnings of U.S. companies, a dramatic forecasting bias that is only partly corrected later in the year.… Both inside their organisations and in the market for their forecasts, these analysts are subject to many incentives to publish figures that do not represent the statistically best guess at company earnings.

The second “b” is big data.
Our feature section this issue, Big Data and Supply Chain Forecasting, deconstructs the argument that big data will fundamentally change the way we forecast by shifting the focus from the product to the consumer, as well as from time-series projections to causal models. Here we print six commentaries from noted forecasting, S&OP, and supply-chain thought leaders.
Shaun Snapp asks Is Big Data the Silver Bullet for Supply-Chain Forecasting?
Mike Gilliland probes into Customer vs. Item Forecasting.
Chris Gray writes on Becoming Responsible Consumers … of Big Data.
Stephan Kolassa wonders whether it’s Big Data or Big Hype?
Niels van Hove goes into industry specifics in Big Data, A Big Decision.
Peter Catt links Big Data and the Internet of Things.

By now, we all know that predictions about the 2016 U.S. presidential election missed the mark, as many did earlier in the year over the Brexit vote. A previously reliable source of election forecasts had come from prediction markets, where bets are placed on individual candidates. But not in 2016. Foresight Prediction Markets Editor Andreas Graefe looks at what went wrong, and why, in Prediction Market Performance in the 2016 U.S. Presidential Election. He raises the possibilities of market manipulation, participant misunderstanding, and bettors’ systematic bias.

Niels van Hove has spent many years studying S&OP performance and its intimate bond with corporate culture. In a prior Foresight article (Summer 2016), Niels wrote about the importance of proper modes of communication for S&OP success. Now he puts the microscope on individual mind-sets and behaviors in his article How to Shape a Company Culture with S&OP:

While effective S&OP can thrive in the right company culture, S&OP itself can influence and shape that culture. S&OP leaders need to articulate goals that include clear expectations on behaviors. Doing so will not only improve S&OP effectiveness but also enable S&OP to play an active role in improving employee attitudes and satisfaction.

Trustworthiness is universally recognized as a key behavior in S&OP success. In a Commentary on Niels’ article, M. Sinan Gonul discusses the key drivers of trust between parties in an organization and emphasizes that trust is “fragile and brittle.”

Handle trust as you would a crystal champagne glass: once it’s broken, there may be no putting it back together!

Foresight’s New Digital Edition

Image of Foresight on tabletWe’re delighted to announce that Foresight is now available in a digital edition as well as print. Read all about our subscription options and preview one of our digital editions at https://foresight.forecasters.org/subscription/. If you are a current Foresight subscriber, you can upgrade your subscription to include the all-access edition today by contacting IIF Business Director Pam Stroud at PamStroud@forecasters.org.

Snorkeling the Great Barrier ReefISF 2017 in Cairns, Australia

Gateway to the Great Barrier Reef, the city of Cairns will host the 37th annual International Symposium on Forecasting. The dates are June 25-28. See the announcement on this issue’s inside front cover.

The 2017 Foresight Practitioner Conference (FPC)

Following the very successful 2016 conference—“Worst Practices in Forecasting: Today’s Mistakes to Tomorrow’s Breakthroughs”—Foresight will once again partner with the Institute for Advanced Analytics at North Carolina State University to present the 2017 conference in Raleigh. The dates are November 15-16. The 2017 FPC presentations will address the theme:

Recoupling Forecasting to Inventory Control and Supply Planning

Research has revealed that too often the forecasting process is disconnected from inventory and supply planning: forecasters have imperfect knowledge of how their forecasts are used, and managers have little knowledge about where the forecasts are coming from. The resulting misunderstandings and outright calculation errors are costly and wasteful. Resolving these problems requires better communication among forecasters, planners, and suppliers of the software in use. The conference speakers will provide perspectives from experience and research on how to recouple these critical processes, reaping the benefits of lower costs and better service.

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About Author

Mike Gilliland

Product Marketing Manager

Michael Gilliland is author of The Business Forecasting Deal (the book), and editor of Business Forecasting: Practical Problems and Solutions. He is a longtime business forecasting practitioner, Product Marketing Manager for SAS Forecasting software, and on the Board of Directors for the International Institute of Forecasters. He initiated The Business Forecasting Deal (the blog) to help expose the seamy underbelly of the forecasting practice, and to provide practical solutions to its most vexing problems.

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