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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Text Analytics Gurus Debunk 4 Big Data Myths
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 > Text Analytics Gurus Debunk 4 Big Data Myths
Uncategorized

Text Analytics Gurus Debunk 4 Big Data Myths

TomAnderson
TomAnderson
3 Min Read
SHARE

TextAnalytcsMyths

Four Big Data and Text Analytics Myths Debunked
[Visit Forbes.com for more detailed article]

TextAnalytcsMyths

Four Big Data and Text Analytics Myths Debunked
[Visit Forbes.com for more detailed article]

More Read

Java Instead of Python
Get the architecture right and good things will happen
Are ITIL ‘Refreshes’ Enough to Address Adoption Issues?
Read all about WSDM ‘09 at Jeff’s Search Engine Caffe
2009 Retrospective

There are a lot of myths out there surrounding next generation research techniques around data from small to big. Text analytics, if done correctly, can offer insights into problems from a new more encompassing and accurate perspective.

OdinText CEO, Tom H. C. Anderson, and CTO Chris Lehew recently spoke to Forbes Magazine about some of the common analytics and text analytics myths they frequently encounter, and gave real examples of how OdinText users are benefiting from superior insights provided by the Next Generation Text AnalyticsTM platform.

The four data myths covered today in Forbes were:

Myth 1: Big Data Survey Scores Reign Supreme

 A myth propagated by Bain Consulting, without any evidence to justify the claims, is that a survey metric asking ‘likeliness to recommend’ is related to business growth. OdinText found absolutely no link between survey metrics like NPS and revenue when analyzing 800,000 customer surveys for Shell Oil/Jiffy Lube.

Actual customer text comments proved to be the single best predictor of real behavior from loyalty/returns to revenue.

 

Myth 2: Bigger Social Media Data Analysis Is Better

 textanaltyicsCocaCola

Many believe big data must have value simply because it’s big – but it’s more about smart data than big data. Using OdinText Coca-Cola’s Social Media Hub found that only smarter text analytics and data translate to better insights.

 

Myth 3: New Data Sources Are The Most Valuable

 Many companies go looking for new data on social sites and elsewhere while failing to first look too what valuable data they may already be collecting . Campbell’s Soup for instance realized that they could get better insights by using OdinText to listen to the quarter of a million customers that contact their customer service department each year than relying on anything found on Twitter.

 

Myth 4: Keep Your Eye On The Ball By Focusing On How Customers View You

 Sometimes online discussion boards and other consumer generated media is the best place to find insights. But companies often focus just on what is said about them. Starwood hotels among others have realized the benefit of doing comparative analysis VS. their competition, arguably the single best use of this type of data.

 

You can read more detail about the four data myths discussed above in Forbes Magazine article here.

Please visit our blog in the coming months as we roll out a new series of “Text Analytics Tips” with experts from OdinText discussing more myths and sharing tips and techniques on how to drive better more actionable insights through smarter Next Generation Text AnalyticsTM

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic
Ai agents
AI Agent Trends Shaping Data-Driven Businesses
Artificial Intelligence Exclusive Infographic
Why Businesses Are Using Data to Rethink Office Operations
Why Businesses Are Using Data to Rethink Office Operations
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Predicting popular stories on Digg

3 Min Read

Cloud computing and my small business

6 Min Read

A CTO’s views on the new Fed CTO

4 Min Read

The Now Economy

4 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?