An enterprise plans to implement a business intelligence (Bl) tool with data sources from various enterprise applications. Which of the following is the GREATEST challenge to implementation?

Interface issues can be challenging, but modern integration tools and APIs are designed to mitigate these, often making data content and meaning a larger hurdle than connectivity.

While large data volumes pose technical challenges for storage and processing, current BI tools and data platforms are specifically designed to handle big data; the quality and consistency of the data itself are often a more critical and complex issue.

Staff training is a common implementation task for any new tool; while important, it's typically less complex and costly than resolving fundamental data quality and consistency problems.

Different enterprise applications often use varying data schemas, formats, and definitions for similar data elements, making it extremely complex to standardize, cleanse, and accurately map this heterogeneous data into a unified model for BI analysis. Without consistent data definitions and mappings, the BI tool will produce unreliable or misleading insights, undermining its purpose.