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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Dave Wells’ prescription for the incurious
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Visualization > Dave Wells’ prescription for the incurious
Business IntelligenceData Visualization

Dave Wells’ prescription for the incurious

TedCuzzillo
TedCuzzillo
3 Min Read
SHARE

Former TDWI education director Dave Wells keeps running into users whose BI reports might as well be printed. These users simply accept the data as presented and don’t ask questions. That’s nothing new, of course. The difference is that Dave has a way to deal with it.

I caught part of his session today at TDWI World Conference in Chicago: “Understanding Cause and Effect: An Introduction to Systems Thinking.”

For the incurious, Dave prescribes causal-loop diagrams. When he starts drawing, and people can visualize a complex system — especially when they work inside it — they quickly get involved with the analysis. Once involved, they can’t avoid asking questions.

Take the case of the healthcare insurer, for example. His simple lines and arrows demonstrate how badly thought out incentives for data entry clerks actually increases the rate of bad data entering the system.

More Read

Development of on-chip optical interconnects for future…
10 Ways Chatbots are Changing the Customer Service Cycle
Definitive Report on Decision Management Systems Platforms coming in 2012
Data Mining Improved Company’s Revenue By 187%
The Billboard Problem: Why Intelligent Ads Only Live Online, for Now

Available systems-diagramming tools, however, just aren’t good enough yet to do all he needs to do, he says. He showed one, MapSys, that comes closest.

He’s going to go looking. Over the next six to nine months, he’s going to be “that pain-in-the-ass guy from BI” attending every systems-thinking conference he can.

Link to o…

Former TDWI education director Dave Wells keeps running into users whose BI reports might as well be printed. These users simply accept the data as presented and don’t ask questions. That’s nothing new, of course. The difference is that Dave has a way to deal with it.

I caught part of his session today at TDWI World Conference in Chicago: “Understanding Cause and Effect: An Introduction to Systems Thinking.”

For the incurious, Dave prescribes causal-loop diagrams. When he starts drawing, and people can visualize a complex system — especially when they work inside it — they quickly get involved with the analysis. Once involved, they can’t avoid asking questions.

Take the case of the healthcare insurer, for example. His simple lines and arrows demonstrate how badly thought out incentives for data entry clerks actually increases the rate of bad data entering the system.

Available systems-diagramming tools, however, just aren’t good enough yet to do all he needs to do, he says. He showed one, MapSys, that comes closest.

He’s going to go looking. Over the next six to nine months, he’s going to be “that pain-in-the-ass guy from BI” attending every systems-thinking conference he can.

Link to original post

TAGGED:data visualizationtdwi
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

SQL Visualization in the Spreadsheet

5 Min Read

Data Visualization Techniques – For the Masses

2 Min Read
data visualization trends 2022
Data Visualization

Biggest Trends in Data Visualization Taking Shape in 2022

8 Min Read

Top 10 Business Intelligence predictions for 2011

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?