By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: The Data Paradox
Share
Notification Show More
Latest News
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security
ai in software development
3 AI-Based Strategies to Develop Software in Uncertain Times
Software
Aa
SmartData Collective
Aa
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
Last updated: 2011/05/20 at 12:37 PM
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

analyzing big data for its quality and value

Use this Strategic Approach to Maximize Your Data’s Value

Niche Data Tactics to Take Your Business to the Next Level
Strategies to Make Better Profits for CPAs During Tax Season
Seven Benefits of Using AI to Perform Text Analysis
Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC

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?

MIKE20 May 20, 2011
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
anti-spoofing tips
Anti-Spoofing is Crucial for Data-Driven Businesses
Security

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

analyzing big data for its quality and value
Big Data

Use this Strategic Approach to Maximize Your Data’s Value

6 Min Read
niche data tactics for business success
Big Data

Niche Data Tactics to Take Your Business to the Next Level

6 Min Read
big data and accounting
Business RulesData ManagementITSoftware

Strategies to Make Better Profits for CPAs During Tax Season

10 Min Read
text analytics
Text Analytics

Seven Benefits of Using AI to Perform Text Analysis

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.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?