Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in ecommerce
    Analytics Technology Drives Conversions for Your eCommerce Site
    5 Min Read
    CRM Analytics
    CRM Analytics Helps Content Creators Develop an Edge in a Saturated Market
    5 Min Read
    data analytics and commerce media
    Leveraging Commerce Media & Data Analytics in Ecommerce
    8 Min Read
    big data in healthcare
    Leveraging Big Data and Analytics to Enhance Patient-Centered Care
    5 Min Read
    instagram visibility
    Data Analytics Plays a Key Role in Improving Instagram Visibility
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: One-Number Forecasting: A New Worst Practice?
Share
Notification Show More
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > One-Number Forecasting: A New Worst Practice?
AnalyticsBest PracticesBig DataBusiness IntelligenceCulture/LeadershipData ManagementPolicy and GovernancePredictive Analytics

One-Number Forecasting: A New Worst Practice?

mvgilliland
Last updated: April 3, 2013 8:04 am
mvgilliland
3 Min Read
SHARE

The one-number forecasting concept has been debated for years.

Advocates argue that having different groups within the same organization working to different forecasts is insane. You can’t have the supply chain building to X, the sales force selling to Y, and the financial folks counting on revenue of Z. This is an invitation for disaster.

But is the imposition of a single forecast number across the whole organization any less insane?

The one-number forecasting concept has been debated for years.

More Read

Image

Analytics at the Intersection of Humans and Machines

Clementine is dead, long live PASW Modeller
The Next Wave of Technologies
Big Data For Big Weather
Meet Your Company’s New Virtual Assistant – Big Data

Advocates argue that having different groups within the same organization working to different forecasts is insane. You can’t have the supply chain building to X, the sales force selling to Y, and the financial folks counting on revenue of Z. This is an invitation for disaster.

But is the imposition of a single forecast number across the whole organization any less insane?

forecastingIn a SupplyChainBrain blog post titled “There Is No Magic Number for Demand Forecasting,” Robert Bowman chronicles discussion of this topic at the recent Institute of Business Forecasting conference. Citing presentations from Nestle, Combe Inc., Syncro Distribution, and Merck, Bowman concludes we should “forget about” fixed one-number forecasting, but we still need to achieve internal and external alignment through the planning process. This is the right conclusion.

The forecast should be an unbiased best guess of what is really going to happen in the future, but we need to recognize (and take into account) the uncertainty in that one number. As Patrick Bower, senior director of corporate planning and customer service at Combe Inc. (and winner of IBF’s 2012 award for Excellence in Business Forecasting and Planning) pointed out, what’s needed is “banding” around the one number, to indicate the likely range of possible outcomes. (This same point was made by Charles ReCorr in his article “What Demand Planners Can Learn From the Stock Market” as discussed in the previous The BFD blog.)

So the one-number forecasting concept can be rejected because we really should be using at least three numbers: the point forecast, and the upper and lower bounds. This is simple recognition of the reality that our forecasts aren’t going to be perfect, and we need to be prepared. As Jonathon Karelse, president of Syncro Distribution, hammered home the point, “You need to plan appropriately for the high side and the low side.”

Rejection of one-number forecasting is not the first step toward anarchy. It is instead the rejection of, as Bowman puts it, “A simple answer to a complex problem.”

TAGGED:forecasting
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

trusted data management
The Future of Trusted Data Management: Striking a Balance between AI and Human Collaboration
Artificial Intelligence Big Data Data Management
data analytics in ecommerce
Analytics Technology Drives Conversions for Your eCommerce Site
Analytics Exclusive
data grids in big data apps
Best Practices for Integrating Data Grids into Data-Intensive Apps
Big Data Exclusive
AI helps create discord server bots
AI-Driven Discord Bots Can Track Server Stats
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

forecasting stock market
AnalyticsBig DataBusiness IntelligenceDecision ManagementPredictive Analytics

Forecasting the Stock Market: Lessons Learned

5 Min Read

Don’t rely on your staff’s ability to do math

5 Min Read

Gaming the Forecast

4 Min Read
Predictive Analytics
AnalyticsPredictive Analytics

5 Applications of Predictive Analytics

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-24 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?