APR/APM Metrics

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I tried to write a column based on Ruth Bader Ginsburg and how her passing affects us all.

I couldn’t do it.

Please accept my apologies.

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Prepare for a double-eye-glazer. The subjects are metrics and application portfolio rationalization and management (APR/APM). We’re carrying on from last week, which covered some APR/APM fundamentals.

If, as you’re undoubtedly tired of reading, you can’t manage if you can’t measure, APM provides an object lesson in no, that can’t be right.

It can’t be right because constructing an objective metric that differentiates between well-managed and poorly managed application portfolios is, if not impossible, an esoteric enough challenge that most managers wouldn’t bother, anticipating the easily anticipated conversation with company decision-makers that would ensue:

Application Portfolio Manager: “As you can see, making these investments in the applications portfolio would result in the APR index rising by eleven percent.”

Company Decision Maker: “Let me guess. I can either trust you that the APR index means something, or I’ll have to suffer through an hour-long explanation, and even then I’d need to remember my high school trigonometry class to make sense of it. Right?”

Application Portfolio Manager: “Well …”

What make this exercise so challenging?

Start with where most CIOs finish: Total Cost of Ownership — the ever-popular TCO, which unwary CIOs expect to be lower for well-managed application portfolios than for poorly managed ones.

They’re right that managing an applications portfolio better sometimes reduces TCO. Sadly, so, sometimes does bad portfolio management, as when the portfolio manager decommissions every application that composes it.

Oh, and by the way, sometimes managing an applications portfolio better can increase TCO, as when IT implements applications that automate previously manual tasks, or that attract business on the Internet currently lost to competitors that already sell and support customers through web and mobile apps.

How about benefits minus costs — value?

Well, sure. If we define benefits properly, well-managed portfolios should always deliver more value than poorly managed ones, shouldn’t they?

Not to nitpick or nuthin’, but no, not because delivering value is a bad thing but because for the most part, information technology doesn’t deliver value. It enables it.

You probably don’t remember, but we covered how to measure the value of an enabler back in 2003. To jog your memory, it went like this:

1. Calculate the total cost of every business process (TCBP) IT supports.

2. Design the best possible alternative processes (BPAP) that use no technology more complicated than a hand calculator.

3. BPAP — TCBP is the value provided by IT. (BPAP — TCBP)/TCBP is the return on IT investment — astronomical in nearly every case, I suspect, although possibly not as astronomical as actually going through the exercise.

It appears outcome metrics like cost and value won’t get us to where we need to go. How about something structural?

Start with the decisions application portfolio managers have to make (or, if they’re wiser, facilitate). Boil it all down and there are just two: (1) what is an application’s disposition — keep as is, extend and enhance, replace, retire, and so on — and (2) what is the priority for implementing these dispositions across the whole portfolio.

Disposition is a non-numeric metric — a metric in the same sense that “orange” is a metric. It depends on such factors as whether the application’s data are properly normalized, whether it’s built on company-standard platforms, and whether it’s a custom application when superior alternatives are now available in the marketplace.

Disposition is about what needs to be done. Priority is about when to do it. As such it depends on how big the risk is of not implementing the disposition, to what extent the application’s deficiencies impair business functioning, and, conversely, how big the opportunities are for implementing the dispositions … minus the disposition’s cost.

Priority, that is, is a reflection of each application’s health.

Which gets us to the point of this week’s exercise: Most of what an application portfolio manager needs to know to decide on dispositions and priorities is subjective. In some cases the needed measures are subjective because making them objective requires too much effort, like having to map business processes in detail to identify where applications cause process bottlenecks.

Sometimes they’re just subjective, as when the question is about the risk that an application vendor will lose its standing in the applications marketplace.

All of which gets us to this: “If you can’t measure you can’t manage” had better not be true, because as often as not managers can’t measure.

But they have to manage anyway.

Comments (1)

  • Not entirely convinced. maybe the metric should be the “total cost of management”. That is the effort expended to look after your systems. Include in that the time it takes to arbitrate any changes, extensions, disaster recovery, etc. [note this also covers the time others in the business need to deal with IT issues, rather than getting on with the real point of their day.]

    It always reminds me of an engineering works trying to do business with second-hand machinery which cost a fraction of the new shiny tools – but was slow and only capable of precise work provided Tom doesn’t fall ill. [ as he’s the only one who has the knack in getting it done ].

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