How many people does your organization's Data & Analytics area(s) have in total?  For context: I'm trying to dispel (or prove) a story circulating my C-Suite on the typical size of D&A resourcing. I consider all D&A functions in the count (CDAO - view) which includes data engineering, reporting, governance, community/literacy, data science / AI, research, data warehouse engineers, data analysts, institutional research, D&A program/project management, etc. as their main focus.

<520%

5-940%

10-240%

25-390%

40-6420%

65-990%

100-14920%

150-24920%

250-4990%

500-9990%

1000+0%


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Director of Data in Healthcare and Biotech, 10,001+ employees
As you've rightly alluded to, the scale will likely depend greatly on various factors such as the organization's structure, size, and business models. Speaking from my experience in a healthcare medical center that employs over 100 such data type people, nearly everything we do is data-driven. I believe data is a critical asset that needs to be managed and should be a strategic priority for any organization. Therefore, components like data warehousing and analytics should scale accordingly.

I'm not certain if this situation translates to other industries, but in healthcare especially, we might deal with more data issues primarily due to the poor quality of our data. The process of collecting, curating, and validating this data demands considerable effort and is often spread across disparate systems. Consider the multitude of applications for which we use this data, such as Machine Learning. If a variable, like the race of a patient, is frequently incorrect, we immediately face a potential for bias in our algorithms.

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