AI efforts drive up demand for analytics, database architecture skills

CIOs must clearly tie technology to business goals to attract talent, according to Heidrick & Struggles’ Sunny Ackerman.

CIOs must clearly tie technology to business goals to attract talent, according to Heidrick & Struggles’ Sunny Ackerman.

Esta entrada es un extracto. La nota completa está en CIO Dive.

Why it matters

A beautiful dashboard can hide a bad number for months. That is why I distrust stories about visualisation that say nothing about governance: the expensive part is not displaying the number, it is guaranteeing the number means the same thing on Tuesday as on Thursday.

I look at lineage before I look at the chart: where each number comes from, who can change it, and what happens if the source system goes down. If nobody can walk that chain in two minutes, the dashboard is displaying confidence it did not earn.

What usually goes wrong

Where it usually breaks is capture. A lot gets invested in processing and nothing at the point where a person fills in the form, in a hurry, with no validation and no idea what it is for. No model fixes data that was born wrong; it only propagates it with more authority.

What to watch

• Who answers for the quality of the indicator when somebody challenges it in a committee.
• Which concrete decision changes because of this and who makes it: without that, it is one more dashboard.
• Whether definitions are agreed across areas or each one brings its own to the meeting.

How I read this entry

If this reached an organisation, I would start by agreeing ten definitions rather than a hundred: what an active customer is, what a sale is, when it counts. Written, signed and published. It is a week of uncomfortable argument that saves two years of meetings where nobody agrees.

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