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
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Business Intelligence Goes Back to the Future
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Business Intelligence Goes Back to the Future
Uncategorized

Business Intelligence Goes Back to the Future

Daniel Tunkelang
Daniel Tunkelang
2 Min Read
SHARE

Seth Grimes has a great piece in Intelligent Enterprise entitled “BI at 50 Turns Back to the Future“. He reminds us of the vision that Hans Peter Luhn put forward for business intelligence back in 1958, in the IBM Journal article “A Business Intelligence System“. He further notes:

Ironically, the BI implementation Luhn described far more closely resembles the reference-library setting of the 1957 Katharine Hepburn-Spencer Tracy movie comed…

Seth Grimes has a great piece in Intelligent Enterprise entitled “BI at 50 Turns Back to the Future“. He reminds us of the vision that Hans Peter Luhn put forward for business intelligence back in 1958, in the IBM Journal article “A Business Intelligence System“. He further notes:

More Read

Food+Tech Connect: Promoting a Networked Food System
Social Media Meets Healthcare
Making publication-ready tables with xtable
The difference between Statistics and Machine Learning
Enterprise Information: Managing and Mitigating Risk

Ironically, the BI implementation Luhn described far more closely resembles the reference-library setting of the 1957 Katharine Hepburn-Spencer Tracy movie comedy “Desk Set” than it does any system operating today. Luhn wrote of an information requestor who “telephones the librarian and states the information wanted. The librarian will then interpret the inquiry and will solicit sufficient background information… This query document is transmitted to the auto-encoding device in machine-readable form. An information pattern is then derived,” and so on. 

As I discussed before, the goal of an information access system, regardless of whether we are talking about enterprise search, business intelligence, or any other variation of information seeking, is to emulate a reference librarian. It’s nice to see that this is what the pioneers had in mind.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

car expense data analytics
Data Analytics for Smarter Vehicle Expense Management
Analytics Exclusive
using accrual data to improve financial forecasts
Using Accrual Data to Improve Financial Forecasts
Big Data Exclusive
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

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

What Do Marketers Really Want in Data and Technology?

6 Min Read

How are data transformations represented in PMML?

6 Min Read

“Business-IT Chasm”: The Business Perspective

2 Min Read

“We’re rapidly entering a world where everything can be monitored and measured,” said Erik…”

1 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?