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: Data Visualizations: The Tip of the Iceberg of Understanding
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Data Visualizations: The Tip of the Iceberg of Understanding
Uncategorized

Data Visualizations: The Tip of the Iceberg of Understanding

Erica Driver
Last updated: 2013/02/24 at 9:00 AM
Erica Driver
0 Min Read
SHARE

Thanks to Tom Mackay, principal solution architect at QlikTech, I recently came upon the article “Seven Dirty Secrets of Data Visualisation,” by programmer Nate Agrin and data visualization developer

Thanks to Tom Mackay, principal solution architect at QlikTech, I recently came upon the article “Seven Dirty Secrets of Data Visualisation,” by programmer Nate Agrin and data visualization developer Nick Rabinowitz. In addition to shining light on some best practices in data visualization, this article helps illuminate the difference between standalone data visualization tools and a Business Discovery platform.

data visualizations are tip of iceberg

The article covered seven dirty secrets of web-based data visualizations; I have thoughts about a few of them:

  • Secret #1: Real data is ugly. The article points out that before data can be accessible to, and useful with, data visualization software, a data expert has to find, acquire, load, clean, and transform it. This problem is compounded when the data comes from multiple sources. A lesson? Look for Business Discovery software that enables you to begin working with and analyzing even imperfect data without requiring a whole boat load of external (ETL extract, transform, load) capabilities. Discovery begins with the data. Being able to immediately see the mis-typed, out-of-range, or missing lets you begin tackling the problem from the start.
  • Secret #3: There’s no substitute for real data. When getting your hands on software to help you make sense of your data, try it out with your own real data – not dummy sample data. It’s in quickly and easily being able to see the associations in your own real data that the “a-ha” moments occur. This experience may be especially powerful with data sourced from disparate systems. “There is nothing like the moment when a user sees associations between data they have never been able to bring together before,” says Tom Mackay, principal solution architect at QlikTech. He’s speaking from experience; he’s seen it happen time and again at customer sites.
  • Secret #6: Visualization is not analysis. Agrin and Rabinowiz argued that visualization is a tool to aid analysis, not a substitute for analytical or statistics skill. True. But it’s not either/or; an analytic app can contain both detailed data, with complex statistical expressions applied, and visualizations that help simplify the picture. Users can analyze the data in the way that is most comfortable for them. And: clear, well-labeled, interactive charts and graphs that are part of an analytic app make it easy for even non-data analysts to explore information and derive insights and meaning – critical in a world where information is strategic and we all have to know how to work with it.
  • Secret #2: A bar chart is usually better. “The coolest-looking visualisations are often the least useful,” the authors wrote. They pointed out that the cost of the novelty and visual appeal of some data visualizations is clarity of meaning. This potentially leads to comparisons that distort the data and takes viewers to false conclusions. The authors made the same point about animations (“secret #5: animate only when appropriate”) and recommended making animations simple, predictable, and replayable. I’d add that another complicating factor is the variety of devices people are using to interact with analytic apps, including tablets and smartphones. We offer some design suggestions of our own in this Technical Brief: “Mobile User Interface Design Best Practices.”
  • Secret #7: Data visualization takes more than code. “. . . Creating visualisations that offer real insight or tell a compelling story still requires a particularly wide range of real skills in addition to coding, including graphic design, data analysis, and an understanding of interaction design and human perception,” the authors wrote. A complicating factor is that data experts tend not to be graphic designers. To get past this dichotomy, check out the tips our experts offer on the QlikView Design Blog and take a look at how we are focused on closing the gap between data and design with the next generation of QlikView.

Visualizations are just the tip of the iceberg, if the iceberg is a person’s understanding of the data. To be able to derive meaning and insight from data, especially complex data sourced from multiple systems, the user requires not only well-designed, clear, concise data visualizations, but the ability to explore the full dataset on their own. They need to be able to ask and answer their own streams of questions without having to go back to an expert for a new visualization every time they have a follow-up question. This, in a nutshell, is the difference between a standalone data visualization tool and a Business Discovery platform.

More Read

big data and IP laws

Big Data & AI In Collision Course With IP Laws – A Complete Guide

Data Security Unveiled: Protecting Your Information in a Connected World
Empowering Parents With Big Data: Ensuring Child Safety And Development
Security In Automated Document Processing: Ensuring Data Integrity And Confidentiality
Unleashing Victory: How Data Collection Is Revolutionizing Football Performance Analysis!

TAGGED: analytics, best practices, big data, business intelligence, chart, data visualization, graph, statistics
Erica Driver February 24, 2013 February 24, 2013
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

RN coders for hosptial data
RN Coders Can Improve Hospital Data Strategies
Big Data
cloud technology in education
How Cloud Technology Can Be Integrating in Schools
IT
big data and IP laws
Big Data & AI In Collision Course With IP Laws – A Complete Guide
Big Data
ai in marketing
4 Ways AI Can Enhance Your Marketing Strategies
Marketing

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

big data and IP laws
Big Data

Big Data & AI In Collision Course With IP Laws – A Complete Guide

5 Min Read
data security unveiled
Security

Data Security Unveiled: Protecting Your Information in a Connected World

8 Min Read
child online safety data
Big Data

Empowering Parents With Big Data: Ensuring Child Safety And Development

13 Min Read
data integrity
Data Management

Security In Automated Document Processing: Ensuring Data Integrity And Confidentiality

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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?