- Evaluate your Use Cases: It isn't about the best tool, it is about the best tool for the job. So create some actual use cases of how the tools will be used and see which tool(s) are best for those particular scenarios.
- Data Structure: Data analysts love analyzing data, not transforming data. So keep your data types and structure in mind when choosing your BI tools.
- Financial Considerations: This is probably more important in healthcare than other industries as many healthcare organizations are nonprofit and/or may have a smaller IT budget than in other industries. Sometimes cost is a primary driver when selecting the right tool for your organization.
Anything else I might be missing? Check out this article for more information on this topic:
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