While a lot of folks are getting lost in the battle between Mitt Romney and Barack Obama in what appears to be a race to prove who is least qualified to run the US, the more interesting battle may be between Big Data Analytics and Social Media.
This battle is basically is pitting the old guard, HP, EMC, and HP, against the new guard, Google, Facebook and Twitter. The contest is to see which side can be the powerful tool in this election.
At the last Presidential Election we saw the power of Social Media and it appeared to assure Barack Obama’s win. Yet this time the two campaigns are still using social (though neither is truly standing out) and they have ramped up data analytics massively.
Let’s talk about which technology is providing the best advantage.
Both candidates are pushing information out using Social Media. Much of the efforts appear to be focused on attempting to make the other guy look bad through current or old videos that the competing campaign attempt to take viral. But there is little evidence of the true power of Social Media – the ability to engage and motivate a large group of people into action.
It feels as if this tool is being used as a proxy for old mail and email efforts tied to tarnishing the opponent and keeping his voters at home. Fellow ex-Forrester Alum Charlene Li provided offered an insight a few weeks ago. While it gave Obama a slight edge, it basically said both sides were missing the point of the power of this tool. She does say that, since the Obama’s team is using twitter more they are likely better connected with their constituents.
With only a slight majority expected to vote this year, Charlene laments that much of this effort should be focused on building advocacy. The power of social media isn’t just tied to making the other guy look bad, it can be used to motivate people to do things, in this case vote.
So, it actually appears like there has been little real progress in understanding this new tool and that puts focus on the other technology, Data Analytics.
What is interesting about Data Analytics in this election is that not only are the two campaigns using it heavily to determine exactly what voters are interested in to make adjustments to ads, speeches, and engagements real time, they are also being used to help voters figure out which candidate they should actually vote for.
Here the tools appear to be used far more effectively by both sides and I think this is likely because the firms that provide these tools provide services that help people implement and use them properly.
Social Networking vendors provide a consumer service that is advertising-based but offer little real training or help in how to use the service to manipulate these users (I’ll bet this changes over time). As a result, Data Analytics appears to be having a bigger impact than Social Media, largely because it is being used more effectively.
While I’m positioning this as a competition between the two technologies, that isn’t really true. What I’m actually pointing out is the difference between implementations. The reality is that the two technologies could be used together very effectively: Data Analytics to provide data on which approaches are the most effective – and give real time feedback on the results – and Social Media for the engagement. The effective combination of the two tools would be massively more powerful.
This suggests a service opportunity for Big Data vendors to learn Social Networking and provide services that link their data analytics offerings with Social Networking platforms to more effectively manipulate target audiences. Outside of elections the result could be a massive boost in the effectiveness of marketing, political and social advocacy, and the shaping of world opinion.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.