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
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Steps to Better Predicting the Future
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > Steps to Better Predicting the Future
Business IntelligenceData Warehousing

Steps to Better Predicting the Future

paulbarsch
paulbarsch
1 Min Read
SHARE

Executives of all stripes are often tasked with forecasting—sales for next quarter or year, inventory levels to meet demand, or marketing budget to meet corporate goals.

However, the process of forecasting is often rife with bias, data quality issues, mathematical error, and/or poor planning assumptions. While no forecasting technique is perfect, predictions can be drastically improved through a simple technique: pulling your anchor. Read more


Executives of all stripes are often tasked with forecasting—sales for next quarter or year, inventory levels to meet demand, or marketing budget to meet corporate goals.

However, the process of forecasting is often rife with bias, data quality issues, mathematical error, and/or poor planning assumptions. While no forecasting technique is perfect, predictions can be drastically improved through a simple technique: pulling your anchor. Read more
Link to original post

More Read

Eulogy for a Beloved Market Research Organization
Use Business Intelligence To Compete More Effectively
What? So what? Then what? … Why not?
NoSQL overview for all us “SQL” folks
Location Intelligence and Mobile BI: Advancing the ‘where’ in mining and exploration
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Edge Computing in IoT
Unique Capabilities of Edge Computing in IoT
Exclusive Internet of Things
Turning Geographic Data Into Competitive Advantage
The Rise of Location Intelligence: Turning Geographic Data Into Competitive Advantage
Big Data Exclusive
AI Recruitment Software Solution
The Best AI Recruitment Software Solution: Transforming Hiring with Smarter Tech
Artificial Intelligence Exclusive
real estate data
How Big Data Is Changes How We Buy and Sell Real Estate
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

BI M&A Continues with a Twist: QlikTech Acquires Expressor

3 Min Read

AT&T studies user data to cope with iPhone crunch

4 Min Read

Six Enterprise Mega Trends to watch in 2010

11 Min Read

A Model of User Driven Analytics

1 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?