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I’ve been covering IT, and its newer acronym, ICT, for nearly ten years. In that time I’ve had the joy of watching the trends go around, and around. I’ve watched hype become reality, usually in a far longer time period than the vendors would like, and I’ve watched marketing fizz become dot–com failure, or Y2K fizzle, or last years’ ‘next big thing’.

Beyond the hype these days is a lot of technology that can do some truly amazing stuff, provided it has been properly implemented. This, not surprisingly, is usually where the problems come in. Technology that looks great on paper isn’t necessarily going to fit into XYZ company’s IT infrastructure as easily as the salesperson’s PowerPoint presentation popped up on the boardroom projector. And it frequently doesn’t.

Beyond problems of hardware incompatibilities, network peculiarities and application conflicts, however, is the data. Data is what lies at the heart of technology. Data is its reason for being. If we did not have data that we need to capture, store, transport, analyse and save, we could probably go back to sending smoke signals or writing on trees. Of course, what we’d be smoking or writing would be data in any event. *wink*

But I digress. The point is that the technology is not it. The Internet is the world’s largest data storage and transport system. Every CRM, BI, ERP and ‘pick another acronym’ application exists solely so that companies can create, store, capture, manage, save and analyse data more efficiently and more effectively.

So what do these companies do? As far as their data is concerned, not much. These tech–consumers spend millions, and billions on tin, applications, consultants, and techies. But they seldom bother to clean up their data. In many cases (and I’m being kind here) they do not know what data they have, or where it is.

Yes, they have storage, and backups, and archives — electronic and paper. And yes, they have transactional systems which house terabytes of the stuff in more structured formats. And they have users with n number of desktops and laptops and PDAs and mobiles and memory sticks, all of which house company data. But no one person or system knows what everything is or where it is.

If you don’t believe me, ponder your bank, and the different bills you get, call centres you deal with, and names you get addressed by. I’m Mrs Perry Gunnion to one of my bank’s divisions, Miss SJ Perry to another and Ms SS Perry to a third. If I am dealing with the call centre about my credit card, I cannot ask questions about my cheque or debit card. The systems do not link, the data is not shared, and my bank thinks I am three different people. If it could link me up via my identity number, it might just grasp the reality of my singularity. But it can’t, because those large, unwieldy systems don’t speak the same language, or it won’t, because doing a data clean–up in a bank that is over a hundred years old would be a mammoth and extremely expensive exercise.

My point? Well, where exactly are we going with all this? Security–wise it is a disaster. My bank has more copies of my ID than it reasonably could ever need, and it does not know where they are. If I had to ask it to produce all of the data and documentation it has on me, which certain legislation will require it to do pretty soon (relatively speaking), it would be in a wee bit of a tight spot. And so, I’ll wager, would any other large institution, and a host of smaller ones too.

Between ourselves, by which I mean the users generating data, the organisations creating and accumulating data, and the other organisations developing applications to manage said data, we’ve created a monster. And now we have to manage it.




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4 Responses to “Tech will eat itself”

I’ve been using technology for over 40 years and cannot imagine how limited my horizons would be without the “progress” that has been made. For sure, the people that rush through the latest changes can create as many problems as they solve (and then earn good money solving them again) but I would rather be able to bank on-line than go back to using a cheque book and deposit slips - and a queue!

BTW - we can swap banks - mine knows all about my various accounts in one call to one person…

(Report abuse)

Adrian on May 14th, 2008 at 11:26 am

*grin* I agree. In fact, I so seldom go into a branch these days that my account is still residing in CT, while I reside in JHB, and that is seldom a problem.

I’m busy shopping for a new bank, if you can recommend yours that would be lovely. :-)

(Report abuse)

Samantha Perry on May 14th, 2008 at 11:58 am

@ Samantha

Do you and I use the same technology??? The revolution has been in DATA! the storage, management and mining of DATA.

I only become aware of the strides as I look back over 35 years of playing with computers. This last week, I’ve been playing with a microcontroller. I’ve added a 256Kb serial Eeprom. 256Kbit or 32KByte is the same amount of memory as the huge IBM 370 I first used in 1972. The IBM took up 2 floors while my PCB fits easily into the palm of my hand. Other than the reduction in scale, there is considerable similarity between these two. One addresses memory locations using a HEX address. You have to construct your own FAT (File Allocation Table) and there is no easy way to see what you’ve stored. None of this applies to even the smallest modern computer.

With computers today, data mining is common and intelligent software writers allow for variations in spelling. This means one can find data, even if it isn’t an exact match.

Try this facinating internet mining tool:
http://cloud.clusty.com/

For more than 25 years programmers have been using field rules in databases to ensure the congruence of data. Modern software is particularly strong here.

Heuristic programming techniques continue to get stronger and more flexible. This means software often finds things that I assume are permanently lost in the sea of data.

Yes – lots of data is disgustingly inaccurate and flawed (a human fault). Programmers have developed software to handle this

Yes – data often doesn’t match across systems. Software can recognise similarities in the data to perform a best fit (usually a much better fit than humans can do).

Compatibility??? You modern IT people don’t know what that word means! Anything can be converted these days. I often think “incompatability” is an IT excuse for doing nothing. When I hear this, I ask “have you converted it to a delimited ASCII file” and I am sometimes amazed that the IT people don’t know what the heck this is. The more recent technologies such as XML and SPC make data compatibility much easier.

In my opinion, the IT problem is BCAK. It isn’t in the software or the data but what sits between the chair and the keyboard, us humans. Peter Drucker, the great management guru of the 1970’s used to say it takes 20 years for the population to grasp and adopt new technology and, to be honest, data processing has been moving much faster than that.

I believe strongly that one should avoid blaming ones tools when the real problem is just a lack of ones own skill or ability.

(Report abuse)

John Bond on May 14th, 2008 at 2:18 pm

Hi John,

Yes, I agree completely. And I think you’re misunderstanding my point. I’m not saying the tech can’t do it, we all know that it can. The issue here is that most of the large organisations which need to be managing their data don’t do it, either because they do not have the tech, or are not prepared to invest in the processes and procedures to get their data into a state where tech can manage it, or because they do not even recognise that there is a problem.

(Report abuse)

Samantha Perry on May 14th, 2008 at 3:12 pm

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Samantha Perry is an ICT journalist based in Johannesburg. She has been covering the ICT industry for the last nine years, and believes she's nearly due for a long-service award, and possibly a medal. She has worked in a permanent capacity for the likes of Computerweek, CRN and Computing SA (Editor), and on a freelance basis for BMI-TechKnowledge, Telkom and the Corporate Research Foundation amongst others. She is currently the Features Editor for ITWeb Brainstorm and ITWeb Online. In her spare time she attempts to be a nice, cheerful, people-person.
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