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: Can we make the Information Revolution better for society?
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 > Culture/Leadership > Can we make the Information Revolution better for society?
Business IntelligenceCulture/LeadershipDecision ManagementKnowledge Management

Can we make the Information Revolution better for society?

MIKE20
MIKE20
5 Min Read
SHARE

It is easy to assume that access to massive amounts of information is good for society.  Perhaps we should also look at the role the move to an Information Economy is having on the reversal of generations of movement towards greater social equality.

It is easy to assume that access to massive amounts of information is good for society.  Perhaps we should also look at the role the move to an Information Economy is having on the reversal of generations of movement towards greater social equality.

The growth of the state between the early twentieth century and the 1970s brought with it higher taxes and a major a redistribution of wealth. In the UK the wealthiest 1% of the population saw their share of total wealth shrink from 70% in 1913 to 20% in 1980 (source: Deloitte Global Economic Outlook, 2nd quarter 2011).

More Read

From Transaction to Customer Engagement with Business Analytics
The Role of AI Technology in Tracing People
Technology Project Nightmares
How Teams Using Multi-Model AI Reduced Risk Without Slowing Innovation
AI Advances Facilitate SCRUM Teams For Agile Development

What many people have not yet realised is that the trend towards greater equality has gone into reverse since the 1980s.  Also reported in the same Deloitte report, Credit Suisse estimates that today less than half of one percent of the world’s adult population owns 36 percent of the world’s private wealth.  The reasons in many countries for increasing inequality are complex but are significantly exacerbated by the shift to lower top rates of income tax around the world.

The reasons for this push to reduce the top rates are complex, but they aren’t purely economic, they also relate to the ability of those who are paying the top rates to make their case in the political arena.

Does the move from an economy of production to one that is driven by information change the make-up of business leaders?  Has something changed about the makeup of the most financially successful members of society?

Globalisation and industrial change has reduced the returns to unskilled labour.  Knowledge based industries such as finance and technology have emerged as major employers and value creators in the economy.  Their demand for highly skilled workers have increased the payoff to employees with a university education. Cognitive skills are especially valuable in a knowledge economy.

Paying an increasing premium for well educated, articulate, informed and connected (in a information rather than a power sense) staff changes the dynamic of those in the top tier of remuneration in society.  When owners of factories, large farming establishments and transport businesses were in this position, they might have complained about the rate of tax that they paid, but they were no more equipped than society as a whole to influence change.

While it has always been true that education and access to information positioned citizens well for a good rate of pay, the correlation with remuneration is much stronger than it has ever been.  In effect, those who cannot navigate the information age and its resources are at a great disadvantage

The solutions to this inequality are many and complex, but the information management profession have an important role to play.  First, we need to recognise that access to complex information is the right of all within a society and these resources need to be structured in a way that are broadly accessible rather than obscured through technology.  Second, we need to simplify complex roles in organisations that require significant skill to link together disparate datasets from across the enterprise (opening-up information roles to a wider workforce).  Finally, we need to explain to politicians the changes in business and its impact on the wider economy.

In the 1960s, in response to the United Nations “Development Decade”, the then UN Secretary General, U Thant, said: “It is no longer resources that limit decisions.  It is the decision that makes the resources.”  It was arguably becoming true in the 1960s.  It could not be more true in the twenty-first century.  Information management professionals can help enable those decisions to put more of the resources in the hands of as many people as possible.

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

AnalyticsArtificial IntelligenceBig DataData ManagementKnowledge Management

Deep Learning Would Be Crucial Under Sanders’s Medicare for All System

8 Min Read

Stat Models, Astronomical Mysteries…and Business Data

4 Min Read

Positioning your Database Start Up for Data Warehousing

6 Min Read

Factual Logic: Why Numbers Count

7 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?