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
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 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

The Macroeconomics of Information and Attention: How the Economy Works as A Whole
Driving Marketing Effectiveness and Efficiency from Within using Social Media
IoT Field Notes: The Seed Fund
Saving Face
Rise of the Machines

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

macro intelligence and ai
How Permutable AI is Advancing Macro Intelligence for Complex Global Markets
Artificial Intelligence Exclusive
warehouse accidents
Data Analytics and the Future of Warehouse Safety
Analytics Commentary Exclusive
stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive
qr codes for data-driven marketing
Role of QR Codes in Data-Driven Marketing
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Diffusion of Data Governance

6 Min Read

Plastic Logic and what could be the ultimate thin client

3 Min Read

Actionable Information Management Principles: Process

3 Min Read

Stamen Design: Illustrating the physics of information

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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?