We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Romney Invokes Analytics in Rebuke of Trump
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Romney Invokes Analytics in Rebuke of Trump
Uncategorized

Romney Invokes Analytics in Rebuke of Trump

William_Newman
William_Newman
4 Min Read
Romney Invokes Analytics in Rebuke of Trump
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

Gov. Mitt Romney, the 2012 GOP candidate and former Bain & Company executive, made an unprecedented move to rebuke 2016 GOP front-runner Mr. Donald Trump last week. The very public and personal rebuke set of shock waves in not only the GOP primary season but also rippled through news media and general conversations. Motivations aside (you can read that in numerous political blogs), what Gov. Romney did in suggesting a split in delegate count leading into the Cleveland GOP primary was to invoke painful lessons in analytics that caught Team Romney by surprise in 2012, which he would prefer to not repeat itself this election cycle.

mitt_romney

Gov. Romney learned a valuable lesson in analytics four years ago (photo: RightSpeak.com)

In the late stages of the 2012 election, Team Romney spent many weeks and precious campaign dollars in states like Pennsylvania where the campaigned believed there was still a chance and pathway to the White House.  Despite criticisms this week by Mr. Trump’s campaign that Gov. Romney “went on vacation” the last month of the election cycle, the truth is far from that.  Team Romney did not have the proper analytics and modeling to determine where to place the right bets the last weeks of the campaign (Virginia, Ohio, Florida, Colorado) and instead attempted to leverage emotions and outlying probabilities based on unscientific exit polls. Meanwhile Team Obama had most of the pathway to the White House calculated using advanced predictive analytics supported by Amazon Web Services.  The President essentially watched Team Romney (quietly) spend its limted precious resources in places where it would in the end make little difference and focus on late campaign stage positioning which led to Pres. Obama’s second term victory.

While watching from the sidelines in 2016, Gov. Romney’s insertion of political comment into the primary in a way is to right the mistakes made in his previous run in 2012.  Current pathways for Mr. Trump to achieve the needed delegate count in advance of the Cleveland GOP Convention get murky when each of the three remaining candidates divide up a number of critical states into their own delegate counts. In this model, Gov. Kasich and Sen. Rubio need to secure a number of states – including their own in Ohio and Florida, respectively – with Sen. Cruz continuing to pick off the heartland states, in order to block a quick pathway to the GOP nomination for Mr. Trump.  The  situation is so much clearer today based on advances in algorithms and the belief in the accuracy of predictive analytics, that few disputed Gov. Romney’s initial high level approach model, which many affiliate news organizations have analyzed and determined to be sound.

Regardles of the outcome of the 2016 GOP primary season, one thing is clear. Gov. Romney learned a very valuable lesson in the accuracy of predictive analytics four years ago.  And that memory is shaping his influence of the current primary season.

More Read

Imagine
Imagine
IBM Drops $1B for Merge Healthcare
Global Mobile Trends See Rise in BYOD — and Security Concerns
Big Data Ingestion… or Indigestion?
Can Enterprise-Class Solutions Ever Deliver ROI?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article’s core relationship is a transfer of discipline from regulated laboratories to analytics
What Business Intelligence Teams Can Learn from Lab Data Governance
Business Intelligence Exclusive
Flat editorial illustration: A guaranteed reward can raise participation while skewing the respondent pool toward active customer
Incentive-Driven Response Bias: Auditing Sample Composition Before You Trust Survey Data
Big Data Data Quality Exclusive
Flat editorial illustration: The article’s core relationship is observable blockchain activity becoming a trustworthy business me
Blockchain Dashboards Need Better Definitions, Not More Charts
Blockchain Exclusive
Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Who Remembers Saying “This is where we came in”?
Uncategorized

Who Remembers Saying “This is where we came in”?

6 Min Read
Kotter and the Knowing-Doing Gap
Uncategorized

Kotter and the Knowing-Doing Gap

5 Min Read
Jargon
Uncategorized

Jargon

9 Min Read
Top Stories in Cybernews
Uncategorized

Top Stories in Cybernews

7 Min Read

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

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?