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
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Management Education in the Age of Big Data
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Management Education in the Age of Big Data
Analytics

Management Education in the Age of Big Data

gilpress
gilpress
5 Min Read
SHARE

What if business schools based their entire curriculum on the fundamentals of business analytics?

McKinsey estimates that the demand for “deep analytical positions” in the U.S. will exceed supply by 140,000 to 190,000 positions and that there will be a need for 1.5 million additional ”managers and analysts who can ask the right questions and consume the results of the analysis of big data effectively.”

What if business schools based their entire curriculum on the fundamentals of business analytics?

More Read

First Look – Attensity 5.5
Buyers Beware: Data Visualization Is Not Data Analytics
The Energy Collective New “blogpod” on the…
Connection Cloud: Realizing Value from Proliferating Siloed Data Stores and BI
IoT hits pay dirt where needs and capabilities align

McKinsey estimates that the demand for “deep analytical positions” in the U.S. will exceed supply by 140,000 to 190,000 positions and that there will be a need for 1.5 million additional ”managers and analysts who can ask the right questions and consume the results of the analysis of big data effectively.”

Why assume that “the analysis of big data” will be some special skill performed by a select group of “managers and analysts”? I think that it’s plausible, even desirable, that in the future all managers will be able to speak the language of business analytics and that it will become an integral part of their job.

This goes to the heart of what a manager’s job is. Managerial hierarchies have always been hierarchies of information flows and a significant part of a manager’s job since the advent of the modern corporation has been to move information up and down the organization. It is a century-plus model that is still dominant in established enterprises and edgy start-ups alike. Dustin Moskovitz recently complained about his experience at Facebook: “At the end of a four-week cycle [of information going up and down the management chain], I would know what was going on the previous month.”

Managerial hierarchies are running out of bandwidth today. They can’t cope with the amount of information moving from one layer to the next. The solution may lie not in getting rid of the layers but in investing the power of analytics in each layer, so what moves from one layer to another is analysis, not information.

Existing management education is based on the old model of management hierarchies. In the age of big data, management education should evolve to reflect the new reality that all information is available to everybody in the organization. What all managers need to do is analysis. But U.S. business schools each year graduate more than 500,000 holders of Bachelor’s and Master’s degrees with little or no knowledge and understanding of analytics and analytical/scientific thinking.

Management educators should assist aspiring managers by teaching tools and techniques for developing models and testing them, not much different from the tools taught to aspiring scientists. They should show future managers how to be critical and skeptical. Currently, most business students hear about testing a hypothesis only in the required statistics course. They pass the exam and move on.

I’m not calling for business schools to produce even more “quants” or “financial engineers” than they already do. My analogy is science—the study of empirical reality—not the production of “elegant” mathematical models that have nothing to do with reality, their assumptions are never questioned, and “are too complex for you to understand.” Managers, in any industry, should never be in a position where they are told that just like they don’t know how their television works, they don’t need to understand how the analytical models driving their business work. 

Business schools should revamp their curriculum with courses and hands-on practice in scientific methods, analytical tools, and data mining/programming. Yes, a little bit of coding will go a long way towards preparing students for management in the 21st-century, as will a general knowledge of statistical modeling tools, statistical programming languages, and relational and non-relational databases. I think it will be best to infuse these new knowledge strains and practical experiences in all the traditional courses—marketing, finance, accounting, operations—rather than have a separate “analytics track.” This will give business schools a new focus on a renewed understanding of what management is all about: using analytical methods to make better decisions.

 

TAGGED:analyticsbig data
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

protecting patient data
How to Protect Psychotherapy Data in a Digital Practice
Big Data Exclusive Security
data analytics
How Data Analytics Can Help You Construct A Financial Weather Map
Analytics Exclusive Infographic
AI use in payment methods
AI Shows How Payment Delays Disrupt Your Business
Artificial Intelligence Exclusive Infographic
financial analytics
Financial Analytics Shows The Hidden Cost Of Not Switching Systems
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Beware Relying Too Much on Power Users

8 Min Read
private cloud for business data
Data Management

Building a Private Cloud: A Strategic Guide

5 Min Read

Predictive Analytics: 8 Things to Keep in Mind (Part 6)

6 Min Read
big data has impacted the real estate industry
Big Data

How Big Data Has Impacted The Real Estate Industry

6 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
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?