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
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 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
SHARE

Think about the following:

Contents
Self-IdentificationSimon SaysFeedback

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.

More Read

Ya Can’t See the Forest Through the Trees
Five Reasons Excel Is Your Worst Enemy for Budgeting and Forecasting
Turning Data Into Content Through Social Media
When Ideology Reigns Over Data
Collecting Analytic Data by Tracking Mobile Visitors: A Guide for Mobile Insights

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.)

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

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Does It Take a Scientist to Find Gold in Big Data?

0 Min Read

Data Quality and the Cupertino Effect

7 Min Read

6 Questions to Ask for Real Insight From Big Data

6 Min Read

Here’s How to Use Decision Management to Improve Cross-Channel Experience

4 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 and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?