Micros and the Data-ProcessingDepartment

Micros and the Data-ProcessingDepartment

Bertini and the employees in Hunt’s office were lucky—the powers-that-be were encouraging the introduction and use of micros.

Within American corporations, however, many data-processing departments have looked askance at small computers.

They’ve seen them as a threat to their power. So American executives have bought millions of dollars of “typewriters” and “adding machines” from computer stores, hoping to fool Data Processing (DP) and bookkeepers. One man lost his job after Data Processing wouldn’t let executives buy micros and he falsified an expense voucher to smuggle in an Apple. Dishonest? Yes. But a micro martyr, too.

This atmosphere may be changing, of course. As early as 1983Computerworldreported that of 220 data-processing managers replying to a poll, 62 percent said they would encourage the use of personal computers.

Beware of the De Mille Syndrome, however. It’s the fondness of many data-processing managers for what one consultant calls a “Cecil B. De Mille production” with “a cast of thousands, millions of dollars and years in the making.”[32]

The poor, ignorant people outside Data Processing, meanwhile, can’t enjoy all the micros or advice they need. “Last year,” went a plaintive letter to a computer columnist, “we purchased a microcomputer and VisiCorp’s VisiCalc software for the company accounting office. The micro was idle for about six months until someone decided to figure out how to use it. Since then, half a dozen people in our office and at least as many in other offices keep the system tied up.” But the firm’s computer people wouldn’t budget more machines even though the $5,000 micro in the accounting office had “paid for itself many times over.” The excuse from the computer pooh-bahs was this: several accounting systems were on the way that would do the job, and why allow micros to proliferate? “Money,” said the letter to the columnist, “has never been a question.”[33]Power, apparently, was. In that sense also, many data-processing biggies are like De Mille.

“Programmers in general are pretty control oriented, pretty methodical in nature,” said Adam Green, “and usually the mostmethodical, the most control-oriented person becomes the head of DP.”

“If they like you, they’ll help you; if they don’t, they won’t,” said my friend Michael Canyes, who himself served time in data processing in government and private industry.

And it isn’t just the De Mille desire for control that has dashed many an executive’s hopes for an office micro. It’s also their sheer ignorance at times.

“Some data-processing managers started out ten or fifteen years ago when the field was growing,” Canyes said, “and stayed with their companies while more able people moved to others. They just were in the right revolving door at the right time. Many don’t know enough to get a job elsewhere. And they don’t understand the capabilities of micros and are afraid of them.”

At United, Bennett’s executive micro course was geared toward the nontechnical, and yet he commendably wanted his top data-processing people included, too.

“Many of them,” he said, “hadn’t touched a computer console or terminal for ten years and were quite surprised as to what a modern microcomputer can do.” They didn’t learn faster as a group, in fact, than did the other United executives. “If they’ve never used a word processor,” Bennett said, “why would they learn it faster than the guy next door?”

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‘How

‘How

What do you do if you need Data Processing’s favor to buy a micro or set up an office network of them? Bennett has the good sense not to “tell somebody how they could do something in a political environment that I’m not familiar with.” Here, however, is my own reckless scenario for you. Do not sue if this advice makes you a micro martyr:1. Before approaching Data Processing, ask who-how questions about the people there—questions similar to some you’d raise about outside consultants. Find out who, formally and informally, can help you the most.2. Ask your informal Data-Processing contact about possible technical problems. Tell him what you hope to do. If it won’t fly, how can you modify it?3. When you’re ready to deal with the Data-Processing manager, tell him your exact computer goals. Easier word processing on just one machine? A micro network tied into themainframe? Many executives correctly see big computers as massive repositories for information to be analyzed on micros.4. Make it clear you’re aware of your project’s complications. Anticipate the manager’s own who-how-style questions, especially the “How” and “How much?” Take on the issues closest to the Data-Processing manager’s heart. Traditionally, DP seeks to centralize facts so Sales won’t have one set of numbers and Administration another set. Does your micro plan tackle that problem? Also, what about the security issue? How are you going to safeguard facts stored inside the micros? What about maintenance? Who’s going to look after the computers—your department or DP? How about training? Your baby or Data Processing’s? Also, what will you do for ongoing technical support?

What do you do if you need Data Processing’s favor to buy a micro or set up an office network of them? Bennett has the good sense not to “tell somebody how they could do something in a political environment that I’m not familiar with.” Here, however, is my own reckless scenario for you. Do not sue if this advice makes you a micro martyr:

1. Before approaching Data Processing, ask who-how questions about the people there—questions similar to some you’d raise about outside consultants. Find out who, formally and informally, can help you the most.

2. Ask your informal Data-Processing contact about possible technical problems. Tell him what you hope to do. If it won’t fly, how can you modify it?

3. When you’re ready to deal with the Data-Processing manager, tell him your exact computer goals. Easier word processing on just one machine? A micro network tied into themainframe? Many executives correctly see big computers as massive repositories for information to be analyzed on micros.

4. Make it clear you’re aware of your project’s complications. Anticipate the manager’s own who-how-style questions, especially the “How” and “How much?” Take on the issues closest to the Data-Processing manager’s heart. Traditionally, DP seeks to centralize facts so Sales won’t have one set of numbers and Administration another set. Does your micro plan tackle that problem? Also, what about the security issue? How are you going to safeguard facts stored inside the micros? What about maintenance? Who’s going to look after the computers—your department or DP? How about training? Your baby or Data Processing’s? Also, what will you do for ongoing technical support?

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Despite some DPers’possibleignorance of micros, you’ll still come out ahead with the computer room’s cooperation, especially if you want your micros talking to the mainframe.

“The situation,” one expert toldComputerworldin describing micro-mainframe hookups, “is like connecting two telephones with a wire and trying to get a Russian to communicate with an American. The microcomputer users think they have finished the job, but they haven’t even begun.”

So if you want your micro to get along with other computers, try to coexist with the people who might help out.

Well, so much for relations with humans. Now, how do you survive the computers themselves? How do you choose the best keyboards, screens, etc., for you to live comfortably with your machine? How can people feel in charge of their computers—guarding health, comfort, and productivity against the HAL syndrome?

Backup:

Backup:

◼VIII, Consultant Contracts: Some Who-How Questions, page339.


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