We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Data Paradox
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Business Rules > The Data Paradox
Business RulesData QualityInside CompaniesText Analytics

The Data Paradox

MIKE20
MIKE20
4 Min Read
The Data Paradox
Photo by 6391394 on Pixabay (https://pixabay.com/photos/graffiti-art-colour-painting-3610348/)
SHARE

Think about the following:

Contents
  • Self-Identification
  • Simon Says
  • Feedback

Think about the following:

  • Organization data is typically in tatters. The bigger the organization, the more messy things are.
  • Sites such as LinkedIn and Facebook are almost too good at letting you manage your own data.

If you’re like me, you often wonder about these ostensibly unrelated things. Can someone say paradox? The results of these two contradictory facts are more than a little intriguing. Consider the following:

Facebook advertisers can accurately target men over 35 who enjoy the show Breaking Bad and listen to Dream Theater and reside in New Jersey. (Yes, I would qualify here.) At the same time, many employees of a company turn to LinkedIn to find out who’s responsible for an area of marketing within their own company. (I really wish that I were making that up.)

More Read

5 Techniques to Make Your Big Data Analytics More Effective
5 Techniques to Make Your Big Data Analytics More Effective
Connectivity Disrupting Traditional Models: Online Peer to Peer Commerce
5 Common Use Cases for Hadoop in Retail
Finding the Right Sponsor for Your Big Data Project
Finding Order in Social Networking Chaos

Self-Identification

The contrast is stark. Concurrently, some sites or platforms house astonishingly personal information about hundreds of millions of people while many organizations’ HR departments struggle with producing a simple org chart for 1,000 folks. Why?

Sure, company size is a contributing factor. It’s easier in a company of ten people to know who does what than a company of 10,000. That’s a given. And the economy is surely a factor. I have little doubt that many organizations’ layoffs have adversely affected different administrative processes. They’ve probably exacerbated already poor situations.

But there’s more going on here. We both know it. I’m talking about data ownership.

In his truly fascinating book, Pull, David Siegel writes about the semantic web. Web 3.0 will, at least in part, be enabled by personal data lockers (PDLs). PDLs will have massive ramifications in a number of areas, especially with regard to data management.

For example, in what will amount to nothing less than a major paradigm shift, customer relationship management will ultimately be replaced by vendor relationship management. In laymen’s terms, companies will no longer be responsible for maintaining accurate information about their customers’ addresses, credit card numbers, and the like. Rather, customers will be responsible for maintaining their own personal information. Updates to addresses and payment information will cascade to different organizations’ internal systems, leading to increased efficiencies and dramatically reducing incorrectly addressed mail and other annoyances.

No one said that this is going to happen anytime soon, but it will happen.

Simon Says

There is a middle ground here. No one is saying that employees ought to be responsible for maintaining their own salaries. At the same time, though, employee self-service technology has existed for years that enables employees to maintain their own addresses, tax information, benefits, and the like. Lamentably, many organizations have failed to take advantage of these applications. They’ll tell you that they don’t have the budget or that it’s not a priority right now.

Even worse, some have actually spent the time, money, and effort implementing these technologies only to cancel their deployments because of a wide variety issues. Excuses typically come down to:

  • They don’t trust our employees to maintain their own information.
  • Misplaced security concerns.

If course, all of this is bunk. These people are really saying that they need to protect their own jobs, even if employees can maintain their own data much more effectively than HR departments can. Facebook and LinkedIn are cases in point.

Feedback

What say you?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery -- AI-generated illustration
How Digital Knowledge Repositories Facilitate Self-Directed Research and Information Discovery
Exclusive News
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring -- AI-generated illustration
7 MDR Providers Combining Offensive Security Testing With 24/7 Monitoring
Exclusive IT Security
The Information Governance Practices That High-Demand Social Work Roles Require -- AI-generated illustration
The Information Governance Practices That High-Demand Social Work Roles Require
Data Management Exclusive Policy and Governance Security
8 MCP Tools for Market and Consumer Intelligence Workflows -- AI-generated illustration
8 MCP Tools for Market and Consumer Intelligence Workflows
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Cyberwar? What Cyberwar?
Inside Companies

Cyberwar? What Cyberwar?

7 Min Read
What If We Could Feel the Big Data Sugar Rush Faster?
Big DataData ManagementData MiningData QualityData VisualizationData WarehousingKnowledge ManagementSocial DataUnstructured DataWorkforce Data

What If We Could Feel the Big Data Sugar Rush Faster?

5 Min Read
Three Ways HR Analytics Can Boost the Bottom Line
AnalyticsBusiness RulesCulture/LeadershipData WarehousingPolicy and Governance

Three Ways HR Analytics Can Boost the Bottom Line

5 Min Read
Pirates of the Computer: The Curse of the Poor Data Quality
Data Quality

Pirates of the Computer: The Curse of the Poor Data Quality

9 Min Read

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

From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?