Part 3/10:
Data Silos: Different units tend to operate independently, creating isolated data pockets that hinder holistic insights.
Compliance and Security: With stringent regulations like GDPR, CCPA, and others, organizations must ensure data privacy and audit readiness, complicating data handling processes.
Fragmented Infrastructure: Each department often maintains its cloud or storage solutions, leading to redundant costs and inconsistent data quality.
Inconsistent Data Sources: Multiple source systems mean varying data formats and standards, making integration complex.
Cultural Mindsets: Resistance to change and ingrained work cultures often oppose standardized processes, complicating collaborative efforts.