According to Gartner’s research, 75% of corporates have 6+ different systems in their information environments. Handling multiple systems causes 3 main problems that may affect company’s performance:
1 Time loss and inadequate efforts for transferring process-related data from stage to stage.
- Missed or uncertain data, manual data consistency checks
- Manual data verification between different systems, repeating discrepancies, frequent corrections
- Practice of exporting/importing records to/from files or even manual input of data already contained in one system to other systems
2 Low information availability and huge efforts spent on data mining, aggregation and validation.
- Exchanging frequent e-mails to get or provide necessary information instead of having a single data access point
- Weak taxonomy and metadata management due to isolated data sources containing scraps of information
- The need to manually collect, aggregate or compare data in different corporate data sources for decision-making
3 Huge IT team efforts to support changes, systems maintenance, access rights management, etc.
- IT team is overloaded with user requests for data formalization, extraction and reporting automation
- Commonly, programming level is used to complete tasks instead of business objects and rules management