Different views of data
Departmental Silo level data and information
Time Lag
Aggregation held up till information is collected from all branches
Data Quality
Manual aggregation leads to human errors and data quality issues
Unavailability of Customer data across various dimensions
Limited view of customer information based on pre-defined views
Manual Consolidation of reports and loss of granularity of data
Manual Aggregation removes transaction level granularity
Resource utilization consumes operational bandwidth
Employees/Managers spend significant amount of time preparing reports
Non standard data classification rules across enterprise
Lack of standardization of term and business metrics definitions.