By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data-driven white label SEO
    Does Data Mining Really Help with White Label SEO?
    7 Min Read
    marketing analytics for hardware vendors
    IT Hardware Startups Turn to Data Analytics for Market Research
    9 Min Read
    big data and digital signage
    The Power of Big Data and Analytics in Digital Signage
    5 Min Read
    data analytics investing
    Data Analytics Boosts ROI of Investment Trusts
    9 Min Read
    football data collection and analytics
    Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Big Data + Intimate Stories = Big Impact
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Modeling > Big Data + Intimate Stories = Big Impact
Big DataModeling

Big Data + Intimate Stories = Big Impact

JuiceAnalytics
Last updated: 2012/11/09 at 2:43 PM
JuiceAnalytics
3 Min Read
SHARE

I’m not alone in feeling that the breathless excitement about “Big Data” is a bit much — just ask Stephen Few (Big Data, Big Deal). The skepticism isn’t directed at the vast possibilities inherent in broader use of data; we’re more concerned that “Big” isn’t the full answer. In fact, focusing on “Big” distracts from other fundamental barriers — particularly the very human skills required for thoughtful analysis and effective communication of insights.

I’m not alone in feeling that the breathless excitement about “Big Data” is a bit much — just ask Stephen Few (Big Data, Big Deal). The skepticism isn’t directed at the vast possibilities inherent in broader use of data; we’re more concerned that “Big” isn’t the full answer. In fact, focusing on “Big” distracts from other fundamental barriers — particularly the very human skills required for thoughtful analysis and effective communication of insights.

These missing links are illustrated beautifully in an article by Felix Salmon, a blogging editor for Reuters, about the election — When Quants Tell Stories:

“If you think that the value of Nate Silver is in the model, you’re missing the most important part: there are lots of people with models, and most of those models are pretty similar to each other. The thing which sets Silver apart from the rest is that he can write: he can take a model and turn it into a narrative, walking his readers through to his conclusions.”

More Read

data security unveiled

Data Security Unveiled: Protecting Your Information in a Connected World

Green Data Centers Make Data-Driven Entities More Sustainable
NIST 800-171 Safeguards Help Non-Federal Networks Handling CUI
The Role of Data in Automating Healthcare Processes for Improved Patient Results
Does Data Mining Really Help with White Label SEO?

“At heart, the campaign was marrying quantitative skills with storytelling, to unbeatable effect. Which stories should the campaign tell, to any given group of people? How should it tell those stories? And who should it get to deliver those stories?”

“The thing that Silver and the Obama campaign have in common, then, is that they used their databases to tell stories. Or, more to the point, their databases and models were used so that Americans could tell stories to each other.”

All the work of collecting, combining, and modeling data is wasted if not enough attention is paid to how the data is shared. The data needs to be transformed into bite-sized (pre-chewed, even) stories that can easily stick in the brains of your audience. And as evidenced by the Obama campaign, there are often many different stories based on the context of each audience member. Years ago, we dubbed this The Last Mile of Business Intelligence. Despite new data trends, technologies, and buzz words, some fundamentals never change.

JuiceAnalytics November 9, 2012
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

iot and cloud technology
IoT And Cloud Integration is the Future!
Internet of Things
ai in marketing
4 Ways AI Can Improve Your Marketing Strategy
Artificial Intelligence
data security unveiled
Data Security Unveiled: Protecting Your Information in a Connected World
Security
it management for data-driven businesses
7 Major IT Infrastructure Challenges for Data-Driven Companies
IT

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data security unveiled
Security

Data Security Unveiled: Protecting Your Information in a Connected World

8 Min Read
green data center
Big Data

Green Data Centers Make Data-Driven Entities More Sustainable

12 Min Read
data security
Data Management

NIST 800-171 Safeguards Help Non-Federal Networks Handling CUI

5 Min Read
role of big data in healthcare in automation
Big DataExclusive

The Role of Data in Automating Healthcare Processes for Improved Patient Results

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.

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
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?