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
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: One-Number Forecasting: A New Worst Practice?
Share
Notification
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
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
Moving Beyond Predictions – Second Order Analytics
National Security Strategy as Art
Social Media Analytics: Performance Measurement Done Right
The ABCs of In-Memory Processing
Universal Decision Engine – How so?

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 Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Helpful Forecasting Resources

3 Min Read

Black Swans Causing a Rethink on Global Supply Chains?

4 Min Read
secrets to accurate sales forecasting
Uncategorized

Accurate Sales Forecasting: 4 Secrets

5 Min Read
Image
Predictive Analytics

Alfred Hitchcock and a Classic Forecasting Scam

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.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?