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: The Three Threes of BI Dashboards
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > The Three Threes of BI Dashboards
Best PracticesBusiness Intelligence

The Three Threes of BI Dashboards

DougLautzenheiser
DougLautzenheiser
2 Min Read
SHARE
Wayne Eckerson likes the number three. At least, he uses it alot in his book, “Performance Dashboards.”

Wayne, research director at TechTarget in Boston, writes:

Wayne Eckerson likes the number three. At least, he uses it alot in his book, “Performance Dashboards.”

Wayne, research director at TechTarget in Boston, writes:

One of the most salient features of performance dashboards are the “three threes”: three applications, three layers, and three types. The “three threes” provide a convenient way to describe the major characteristics of performance dashboards and a litmus test to differentiate imposters from bona fide performance dashboards.

Wayne breaks a performance dashboard into three integrated application components:

  • Monitoring application for conveying information at a glance (dashboards for operational processes and scorecards for strategic goals) 
  • Analysis application for exposing exception conditions and allowing the user to drill into details
  • Management application for improving alignment, coordination, and collaboration 

A dashboard can also be segregated into three different informational layers:

  • Monitoring information utilizing graphical, metrics data for executives 
  • Analysis information utilizing summarized, dimensional data for analysts 
  • Detail information utilizing transactional data for workers 

Lastly, Wayne outlines three types of dashboards:

  • Strategic dashboards for executives (often using the Balanced Scorecard methodology)
  • Tactical dashboards for departmental processes and projects 
  • Operational dashboards for front-line workers utilizing detail transactional 

There is plenty of overlap between Wayne’s three informational layers and three types of dashboards. We mess up his “three” paradigm, but we might combine things into a summary such as:

  • Strategic Monitoring Dashboard for executives (highly graphical representative of metrics)
  • Tactical Analysis Dashboard for departments and projects (summary with drill-to details)
  • Operational Detail Dashboards for front-line workers (very current transactional data) 

For more information, see Wayne’s book on Amazon.

By the way, if you are considering using WebFOCUS to build BI dashboards, be sure to see my other blog posting.

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

Improvement Project for Services; Remember You’re Never Really Done

8 Min Read

Reducing the Confusion about Performance Management

4 Min Read

According to CNNmoney.com, The acquisition of ILOG will…

1 Min Read

DIALOG Group RCI and Legacy Migration

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.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?