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: Seven Questions That Make Analytics Smarter
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 Mining > Seven Questions That Make Analytics Smarter
Business IntelligenceData Mining

Seven Questions That Make Analytics Smarter

Brett Stupakevich
Brett Stupakevich
3 Min Read
SHARE

In a recent discussion at Boston’s Knowledge Management Forum, KM Forum President Larry Chait and Industry Consultant Jack Vinson shared a series of questions that should be a starting point for improving both decision-making and results.  Both recognize that even the best analytics or business intelligence system can be affected by organizational culture, personalities and other external factors.

In a recent discussion at Boston’s Knowledge Management Forum, KM Forum President Larry Chait and Industry Consultant Jack Vinson shared a series of questions that should be a starting point for improving both decision-making and results.  Both recognize that even the best analytics or business intelligence system can be affected by organizational culture, personalities and other external factors. These are just some of the intangibles that sway  humans as they make decisions.

Some of these initial questions were inspired by the new book, “Buy In: Saving Your Good Idea From Getting Shot Down” by famed marketing professor John Kotter. Others were inspired by the Theory of Constraints idea that by limiting options and agreeing early on paths toward solutions, results can exceed initial expectations. That can produce breakthrough results. Chait (who came up with the questions) and Vinson collaborated to show how assumptions, hierarchy and direct observations have led to deadly decisions — from the dozens of cascading errors that led to the Titanic cruise ship sinking to more minor daily crises.  To prevent such occurrences, individuals and teams should review these questions:

1. What are the inherent biases in identifying the problem as a problem?

More Read

Big Data Analysis for Health and Safety in the Workplace
Business of Carbon Management from Special Reports
Why AI Is The Perfect Recruiting Tool, Even For Small Businesses
How to Achieve Equilibrium Between Business Users and IT
Great illustration of the hierarchy of analytical BI techniques

2. Can we examine the true motives of everyone involved to insure alignment?

3. Is there an objective truth in this situation that everyone agrees upon?

4. Is there someone I trust to provide an opposing viewpoint and critique?

5. What information would change the process, result or action steps?

6. Can I sleep on it? Or does this truly require immediate action?

7. Are there repercussions for inaction that might worsen the problem/situation?

Armed with the answers to these questions any decision-making is sure to be clearer and more understandable as the project moves ahead.  Equipped with the data available from BI and real-time analytics you can have better evidence for making informed choices.  More details can be found at Knowledge Jolt with Jack.

For more on the Knowledge Management Forum, visit http://kmforum.org/.  The group meets in the Boston-area to discuss the impact of technology, collaboration and networking on organizations ranging  from non-profit groups to large corporations.

David Wallace
Spotfire Blogging Team

Image Credit: Microsoft Office Clip Art

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

multi model ai
How Teams Using Multi-Model AI Reduced Risk Without Slowing Innovation
Artificial Intelligence Exclusive
top data visualization tools
5 Top Data Visualization Tools for Research Projects
Big Data Data Visualization
cybersecurity tools
Evaluating the Best Value Cybersecurity Platforms for Enterprises
Exclusive IT Security
ai and satelite technology
How Machine Learning Improves Satellite Object Tracking
Exclusive Machine Learning

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

German-Speaking Business Managers in Europe Need More Flexible, Self-Service BI

2 Min Read

Baconators, Batteries, and BI

3 Min Read

Predictive Analytics Q&A with Tom Davenport

0 Min Read

DIALOG Product Roadmap (not really)

5 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?