FEATURE
When internal views arise usually at the tactical or operational level arguing that the assessment is not necessary or that the company already knows its own reality the alert to top management must be immediate.
This kind of argument rarely reflects maturity. Most of the time it reveals a limited vision excessively operational and restricted to the context of the area itself. Experienced executives know that organisations do not fail because of a lack of initiatives but because of too many poorly grounded decisions. Ignoring an independent diagnosis is a classic sign of strategic myopia.
This negligence becomes even more serious when the corporate discourse involves Artificial
The market is full of generic diagnoses based on superficial questionnaires or visually attractive tools but fragile from a methodological point of view.
Intelligence. There is no maturity in AI without maturity in data. No advanced model, modern architecture or robust budget compensates for data that is poorly governed, inconsistent or lacks clearly defined accountants.
The Data Management assessment is a determining factor for the success or failure of AI initiatives. Companies that ignore this step build solutions on fragile foundations and when the results do not appear attribute the failure to technology when the source of the problem is structural.
The impact on regulatory risks
There is also one point that executives cannot neglect: regulatory, reputational and accountability risks. Without clarity on how data is governed the organisation exposes itself to increasing risks especially in regulated and dataintensive environments. The assessment brings visibility into these risks before they materialise.
Another critical factor is in the way many assessments are conducted. The market is full of generic diagnoses based on superficial questionnaires or visually attractive tools but fragile from a methodological point of view.
Most of them exist more to justify the sale of solutions than to guide strategic decisions creating a false sense of maturity and postponing structural problems when the cost of correction becomes much higher.
Therefore, a Data Management assessment must be conducted by an external, specialised and independent company. Evaluations made exclusively by internal teams are hardly exempt as they are directly influenced by political pressures, organisational disputes and local interests.
Without independence there is no reliable diagnosis. And without reliable diagnosis the board decides in the dark.
Assessment is not a luxury, it is not a formality and it is definitely not an expense. It is a mechanism for generating value, reducing risk and sustaining data and Artificial Intelligence initiatives. Ignoring it or replacing it with convenient versions is not boldness. For responsible executives this has another name: strategic recklessness. •
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INTELLIGENT CIO LATAM www. intelligentcio. com