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 for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Gaming the Forecast
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 > Gaming the Forecast
Best PracticesBusiness Intelligence

Gaming the Forecast

mvgilliland
mvgilliland
4 Min Read
SHARE

Business forecasting is a highly politicized process, subject to the biases and personal agendas of all forecasting process participants. This is why many — perhaps most — human adjustments to the forecast fail to make it better. And this is why relative metrics, such as FVA, are so helpful in properly evaluating process performance.

Business forecasting is a highly politicized process, subject to the biases and personal agendas of all forecasting process participants. This is why many — perhaps most — human adjustments to the forecast fail to make it better. And this is why relative metrics, such as FVA, are so helpful in properly evaluating process performance.

The Games People Play

John Mello

John Mello

In his article “The Impact of Sales Forecast Game Playing on Supply Chains” (Foresight, Spring 2009), John Mello provides a useful taxonomy of seven such games that bias the forecasting process and degrade forecast accuracy.

Enforcing: Maintaining a higher forecast than actually anticipated sales, in order to keep forecasts in line with the organization’s sales or financial goals.

More Read

big data guru column
3 Business Questions Big Data Helps to Answer
Overlap in the Business Intelligence / Predictive Analytics Space
Loyalty Proven Critical to CPG Sales Growth
#7: Here’s a thought…
Data is still defensible

When the voice of the marketplace is screaming that you aren’t going to hit your sales targets, this should be considered a blessing! Perhaps now, knowing about this in advance, you can do something to address the demand shortfall. Unfortunately, many organizations ignore the screaming, and simply adjust their forecast to meet the objective. It is easy to understand why this happens, because as a practical matter, as long as your forecast still meets your target, your boss won’t scream at you!

Filtering: Changing forecasts to reflect the amount of product actually available for sale in a given period.

When you are capacity constrained or otherwise experiencing demand greater than supply, a great way to show 100% forecast accuracy is to forecast sales equal to the expected supply.

Hedging: Overestimating sales in order to secure additional product or production capacity.

No sales person wants to explain unfilled orders to his or her customers. How to avoid this? Simply forecast a lot more than you really expect to need. (Just make sure your heightened forecasts go only to the supply planning folks, not to your own sales management. See next.)

Sandbagging: Underestimating sales in order to set expectations lower than actually anticipated demand.

For your sales management, send in low forecasts. That’ll help keep your quotas within reach, and win you that award trip to Hawaii.

Second Guessing: Changing forecasts based on instinct or intuition about future sales.

Sometimes there is no data (new products), or the data may be otherwise inappropriate or insufficient. Sometimes you have to make adjustments based on experience and knowledge of the business. Just make sure to track the performance of such adjustments to make sure they are actually improving accuracy and reducing bias.

Spinning: Manipulating forecasts to obtain the most favorable reaction from individuals or departments in the organization.

Control the data, and control the means of measurement, and you can control the message.

Withholding: Refusing to share current sales information with other members of the organization.

Who wants to get yelled at twice? Why tell your boss you aren’t going to hit this quarter’s numbers (and get yelled at now), when you can just keep forecasting the hockey stick and only get yelled at quarter end after the sales don’t materialize.

How many games are going on at your organization?

TAGGED:forecasting
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

cybersecurity essentials
Cybersecurity Essentials For Customer-Facing Platforms
Exclusive Infographic IT Security
ai for making lyric videos
How AI Is Revolutionizing Lyric Video Creation
Artificial Intelligence Exclusive
intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive
dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Predictive Analytics
AnalyticsPredictive Analytics

5 Applications of Predictive Analytics

5 Min Read

Forecasting Olympic Medals

6 Min Read

Exploring Technological Horizons with Recorded Future

4 Min Read
forecasting analytics
Predictive Analytics

Forecasting Is Harder Than It Looks

2 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?