By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    football analytics
    The Role of Data Analytics in Football Performance
    9 Min Read
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Looking at Trees to Understand the Forest
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > Looking at Trees to Understand the Forest
Data VisualizationPredictive Analytics

Looking at Trees to Understand the Forest

JuiceAnalytics
Last updated: 2010/03/19 at 7:06 AM
JuiceAnalytics
6 Min Read
SHARE

David Simon (of The Wire fame) has sucked me into another brilliant television series with Generation Kill. It is the story of a Marine recon unit at the beginning of the Iraq war. At the heart of all the action, the seven-part miniseries offers an intimate and honest profiles of individual Marines.

The characters don’t so much displace stereotypes as reveal texture and insight about the unique qualities of individual Marines.

The series got me thinking once again about different ways to analyze data. Almost four years ago, I posted a couple blog posts (Part 1 and Part 2) making a case for analyzing and visualizing data at a granular level to uncover patterns and behaviors. Generation Kill is a case study in looking closely at the individual trees to understand the forest.

More Read

data-driven approach in healthcare

The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas

Data Visualization Boosts Business Scalability with Sales Mapping
5 Best Practices for Extracting, Analyzing, and Visualizing Data
5 Ways to Streamline Your Business Data for Maximum Efficiency
Automotive Industry Uses Analytics To Solve Pressing Supply Chain Issues

Analytics is a journey of exploration–a continuous series of iterations with the goal of deeper understanding based on better questions and more targeted analyses. Einstein said:

“To raise new questions, new possibilities, to regard old problems from a new angle, requires creative imagination and marks real advance in science.”

How to arrive at new questions?

In the previous …

David Simon (of The Wire fame) has sucked me into another brilliant television series with Generation Kill. It is the story of a Marine recon unit at the beginning of the Iraq war. At the heart of all the action, the seven-part miniseries offers an intimate and honest profiles of individual Marines.

The characters don’t so much displace stereotypes as reveal texture and insight about the unique qualities of individual Marines.

The series got me thinking once again about different ways to analyze data. Almost four years ago, I posted a couple blog posts (Part 1 and Part 2) making a case for analyzing and visualizing data at a granular level to uncover patterns and behaviors. Generation Kill is a case study in looking closely at the individual trees to understand the forest.

Analytics is a journey of exploration–a continuous series of iterations with the goal of deeper understanding based on better questions and more targeted analyses. Einstein said:

“To raise new questions, new possibilities, to regard old problems from a new angle, requires creative imagination and marks real advance in science.”

How to arrive at new questions?

In the previous blog post, I described examples from online learning, credit cards usage, and football film study to show how granular analysis can spur new questions. I’ve stumbled across a series of new examples recently:

Surveys. Survey analysis is hard work–just ask Ken who recently presented results from Juice’s survey on the practice of information visualization in organizations. If a survey is mostly about understanding your audience, rolling up responses by questions can’t be the only approach (though it is the most common). Cross tabs (“displays the joint distribution of two or more variables”) are one direction to go. Another approach is to look for people who share common characteristics or patterns in their responses.

Macrofocus’ SurveyVisualizer is the most innovative survey analysis tool I’ve seen and it emphasizes data at a granular level.

“All the analysis elements are always shown as grey lines in the background. This provides an overview of the ranges and spreads of the individual values for each node, and facilitates the detection of outliers.” (from Visualization of Large-Scale Customer Satisfaction Surveys Using a Parallel Coordinate Tree)

Medical research. Research studies are conducted against carefully defined target and control populations with aggregate statistics across these populations required for conclusions. However, the ability to review the patterns of diagnoses and procedures at the individual patient-level can help test assumptions about the target population and refine the parameters of a study. Better model inputs; better results.

Speech analytics. Michel Guillet at Nexidia recently told me about their approach to speech data:

Nexidia’s speech analytics can mine thousands of hours of audio to categorize, correlate or spot trends. However, it is quite often in identifying and listening to a lone outlier that the application provides its most valuable insights. Some examples of outliers can be the very long call of a particular call type, the extremely abrupt one, the one with the most languages spoken or the one where  no one is speaking at all. An outlier can change your hypotheses and put you in a different direction…perhaps a better one.  Nexidia’s reporting and analysis tools offer many different methodologies including histograms, analysis of means charts and flexible filtration by meta-data to identify outliers in large amounts of data. In addition, Nexidia’s ad-hoc search functionality allows users to search an entire body of audio content at any time, which is often helpful to find the “smoking gun” or a single recording which can make or break an argument.

Of course you can’t be assured of a full or accurate picture when looking at granular data, but somewhere between standard aggregation-based analysis and granular views lies the truth.

 Link to original post

TAGGED: analytics, data visualization, survey analysis
JuiceAnalytics March 19, 2010
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Shutterstock Licensed Photo - 1051059293 | Rawpixel.com
QR Codes Leverage the Benefits of Big Data in Education
Big Data
football analytics
The Role of Data Analytics in Football Performance
Analytics Big Data Exclusive
smart home data
7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money
Big Data
ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data-driven approach in healthcare
Analytics

The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas

6 Min Read
data visualization for small business
Data Visualization

Data Visualization Boosts Business Scalability with Sales Mapping

7 Min Read
big data visualization
Data Visualization

5 Best Practices for Extracting, Analyzing, and Visualizing Data

6 Min Read
streamline business data effectively
Big Data

5 Ways to Streamline Your Business Data for Maximum Efficiency

6 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
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?