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: A Hollywood Celebrity’s Use of Analytics
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 Mining > A Hollywood Celebrity’s Use of Analytics
Data MiningPredictive Analytics

A Hollywood Celebrity’s Use of Analytics

GaryCokins
GaryCokins
5 Min Read
SHARE

At a recent CFO.com magazine conference I attended, Accenture’s Jeanne G. Harris, co-author of the recently published book Analytics at Work, described a Hollywood movie star who successfully applied statistical analytics to improve his career. This celebrity wanted to increase the probability they would appear in a success rather than a flop. Is the actor Tom Cruise , Meryl Streep or George Clooney? Did this movie star rely on his publicist to perform the analysis?

The answer is “no” to all of these questions.

As Harris described it, the actor is Will Smith, and early in Smith’s career, when he was only on television shows, he and his business manager applied their own form of cluster analytics to pursue a cinema career. They analyzed the 10 highest money-grossing films of all time to uncover patterns. They observed that 10 out of 10 had special effects. Nine out of 10 had special effects with creatures from outer space. Eight out of 10 had special effects with creatures and a love story.

The rest is history. Smith was in Independence Day, Men in Black, I, Robot, and I am Legend. He is the only movie star whose films predictably earn more than…

More Read

Are Some BI Vendors too Quiet?
Managing Details in Long-Range Planning
Surviving the downturn lesson #73431
First Look – Truviso
Morgan Stanley Understands How To Leverage Their Big Data


At a recent CFO.com magazine conference I attended, Accenture’s Jeanne G. Harris, co-author of the recently published book Analytics at Work, described a Hollywood movie star who successfully applied statistical analytics to improve his career. This celebrity wanted to increase the probability they would appear in a success rather than a flop. Is the actor Tom Cruise , Meryl Streep or George Clooney? Did this movie star rely on his publicist to perform the analysis?

The answer is “no” to all of these questions.

As Harris described it, the actor is Will Smith, and early in Smith’s career, when he was only on television shows, he and his business manager applied their own form of cluster analytics to pursue a cinema career. They analyzed the 10 highest money-grossing films of all time to uncover patterns. They observed that 10 out of 10 had special effects. Nine out of 10 had special effects with creatures from outer space. Eight out of 10 had special effects with creatures and a love story.

The rest is history. Smith was in Independence Day, Men in Black, I, Robot, and I am Legend. He is the only movie star whose films predictably earn more than $20 million. His movie Hancock which did not get good reviews still grossed $625 million worldwide. The application of statistical analysis improved Will Smith’s likelihood of being in a high revenue generating movie. You could call him analytical competitor – a term that Harris and her co-author Tom Davenport have coined for organizations who use analytics as a competitive edge.

What is wrong with doing better by being smarter?

Analytics come in many flavors. They are not limited to only solving problems. Analytics can also create opportunities. For example, imagine you operated a social media website and you wanted to make more money by offering insightful information to a manufacturer or distributor. Let us say that from monitoring your website’s members’ Internet navigations across the Web, you detect that certain types of women ages 24-29 with jobs as school teachers routinely surf from a school book website to a school teacher supplies website, and at that website they click on jewelry, especially earrings.

What value is there for your website in knowing this information? Using that fact-based evidence plus some profile information on website registrants, your social media website could offer and sell to the highest bidding jewelry company “banner ads” that would appear to any female school teachers ages 24-29 that log on. The time period for the banner advertisement could be a week or longer. Reliably predictable page view count statistics could be committed to the jewelry manufacturer or distributor to assure them of traffic.

By using statistics, Will Smith can determine what will lead to a highly likely desirable outcome for himself. Using business analytics, a company can use its imagination to accomplish something similar. Analytical software gives organizations the power to know.

TAGGED:business analytics
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive
warehousing in the age of big data
Top Challenges Of Product Warehousing In The Age Of Big Data
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Neil Raden’s thoughts on Business Analytics vs Business Intelligence

4 Min Read

Ethics and Fraud – From a Gray Area to Prison

7 Min Read

Right Time Business Optimization

8 Min Read

2010 – Old Decade, New Decade

6 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?