for Information Management Blogs
AUG 16, 2011 9:53am ET

Blogroll

A Farscape Analogy for Data Quality

Print
Reprints
Email

Farscape” was one of my all-time favorite science fiction television shows. In the weird way my mind works, the recent blog post (which has received great comments) "Four Steps to Fixing Your Bad Data" by Tom Redman, triggered a “Farscape” analogy.

“The notion that data are assets sounds simple and is anything but,” Redman wrote. “Everyone touches data in one way or another, so the tendrils of a data program will affect everyone – the things they do, the way they think, their relationships with one another, your relationships with customers.”
The key word for me was tendrils – like I said, my mind works in a weird way.

Moya and Pilot

On “Farscape,” the central characters of the show travel through space aboard Moya, a Leviathan, which is a species of living, sentient spaceships. Pilot is a sentient creature (of a species also known as Pilots) with the vast capacity for multitasking that is necessary for the simultaneous handling of the many systems aboard a Leviathan. The tendrils of a Pilot’s lower body are biologically bonded with the living systems of a Leviathan, creating a permanent symbiotic connection, meaning that, once bonded, a Pilot and a Leviathan can no longer exist independently for more than an hour or so, or both of them will die.

Leviathans were one of the many laudably original concepts of “Farscape.” The role of the spaceship in most science fiction is analogous to the role of a boat. In other words, traveling through space is most often imagined like traveling on water. However, seafaring vessels and spaceships are usually seen as a technological object providing transportation and life support, but not actually alive in its own right (despite the fact that both types of ship are usually anthropomorphized, and usually as a female).

Because Moya was alive, when she was damaged, she felt pain and needed time to heal. And because she was sentient, highly intelligent, and capable of communicating with the crew through Pilot (who was the only one who could understand the complexity of the Leviathan language, which was beyond the capability of a universal translator), Moya was much more than just a means of transportation. In other words, there truly was a symbiotic relationship between, not only Moya and Pilot, but also between Moya and Pilot, and their crew and passengers.

Enterprise and Data

(Sorry, my fellow science fiction geeks, but it’s not that Enterprise and that Data. Perfectly understandable mistake, though.)
Although technically not alive in the biological sense, in many respects, an organization is like a living, sentient organism, and like space and seafaring ships, often anthropomorphized. An enterprise is much more than just a large organization providing a means of employment and offering products and/or services (and, in a sense, life support to its employees and customers).

As Redman explains in his book “Data Driven: Profiting from Your Most Important Business Asset,” data is not just the lifeblood of the Information Age, data is essential to everything the enterprise does, from helping it better understand its customers, to guiding its development of better products and/or services, to setting a strategic direction toward achieving its business goals.

So the symbiotic relationship between Enterprise and Data is analogous to the symbiotic relationship between Moya and Pilot.
Data is the Pilot of the Enterprise Leviathan. The enterprise can not survive without its data. A healthy enterprise requires healthy data – data of sufficient quality capable of supporting the operational, tactical, and strategic functions of the enterprise.

Returning to Redman’s words, “Everyone touches data in one way or another, so the tendrils of a data program will affect everyone – the things they do, the way they think, their relationships with one another, your relationships with customers.”

So the relationship between an enterprise and its data, and its people, business processes, and technology, is analogous to the relationship between Moya and Pilot, and their crew and passengers. It is the enterprise’s people, its crew (i.e., employees), who, empowered by high quality data and enabled by technology, optimize business processes for superior corporate performance, thereby delivering superior products and/or services to the enterprise’s passengers (i.e., customers).

So Why isn’t Data Viewed as an Asset?

So if this deep symbiosis exists, if these intertwined and symbiotic relationships exist, if the tendrils of data are biologically bonded with the complex enterprise ecosystem – then why isn’t data viewed as an asset?
In “Data Driven,” Redman references the book “The Social Life of Information” by John Seely Brown and Paul Duguid, who explained that “a technology is never fully accepted until it becomes invisible to those who use it.” The term informationalization describes the process of building data and information into a product or service. “When products and services are fully informationalized,” Redman noted, then data, “blends into the background and people do not even think about it anymore.”

Perhaps that is why data isn’t viewed as an asset. Perhaps data has so thoroughly pervaded the enterprise that it has become invisible to those who use it. Perhaps it is not an asset because data is invisible to those who are so dependent upon its quality.
Perhaps we only see Moya, but not her Pilot.

This blog originally appeared at OCDQblog.com.

Advertisement

Comments (5)
The proposition of defining data as an asset is interesting, amusing and entertaining but of little value to a business. Organizations have been collecting files for longer than they have been collecting data yet no one ever suggested that files were an asset. Taking this to the ultimate extreme why not define business plans, reports, forms, e-mails, phone calls, photocopies of documents as assets? Of what value will this be to the business? Will it increase revenues, reduce costs, create new products? Once you've assigned value to data, what do you do with this asset? Sell it, rate it, trade it and continually value it into perpetuity? The proposition of data as an asset is a distraction. More time wasted trying to determine the value of data than spent managing the data. I suggest leaving the data as an asset hypothesis to philosophers and focus on managing the data. Let's all accept that data is important to the business and manage it better.

Perhaps the time would be better spent assessing the asset value of customers.

We've passed beyond the "information age". We are now in the "Algorithm Age". Data is nothing more than fodder for algorithms. The focus of today's business is on algorithms. Our entire economy is run by algorithms. Algorithms are an asset! I suggest data asset values pale in comparison to the asset value of algorithms. Just ask Google. They have patents on their algorithms as do numerous other companies. Those patents are worth billions. Just ask Nathan Myhrvold!

Posted by Richard O | Wednesday, August 17 2011 at 3:06PM ET
I find using the information as an 'asset' a good analogy when dealing with clients. The information a company collects is as much an asset to the company as a building - it cost money to create, it needs maintenance/updating as time goes on, it has to be locked away/protected, it is necessary for the company to do it's business and it should have individuals dedicated to those processes that manage the data. Having said that I think your concept of algorithms is valid as well - just as a business process has value to a company (Starbucks brewing individual cups of coffee vs a bit pot in the morning) so do the programs and applications and business rules that company creates and uses. I find the asset analogy helps the manager explain why he/she needs the money and time to 'manage' that asset when explaining their budget requirements - without that money the data isn't managed (as is the case in most companies I've been in).
Posted by David D | Wednesday, August 17 2011 at 4:03PM ET
Add Your Comments:
You must be registered to post a comment.
Not Registered?
You must be registered to post a comment. Click here to register.
Already registered? Log in here
Please note you must now log in with your email address and password.

Blog Archive for Jim Harris

Pondering a Big Data Philosophy
Galileo, the Hubble and Clear Data Insight
When Poor Data Quality Lands on the Ledger
Poor Data Quality That Kills
Data Quality and the OK Plateau

More from Jim Harris »

Blog Index »

Where do young IT professionals (30 and under) obtain information to aid with daily role responsibilities and career development?

Trade publication websites 14%
Social media 23%
Vendor websites 4%
Vendor/community forums 7%
Newsletters 1%
Trade conferences/meetups 2%
RSS feeds 6%
Web search 44%

 

Twitter
Facebook
LinkedIn
Login  |  My Account  |  White Papers  |  Web Seminars  |  Events |  Newsletters |  eBooks
FOLLOW US
Please note you must now log in with your email address and password.