Top inhibitors to data management:
- lack of IT resources
- users have not defined information needs
- lack of top management commitment to projects
- software and services are too expensive
- business need is not high enough
Top pressures driving the need for data management:
- many data sources are not currently addressed by existing BI systems
- growing complexity of data accessed by existing BI applications
- latency of information required for job performance
- lack of end-user adoption of BI
- lack of required detail data within BI applications and reports
Top strategic actions for data management:
- develop a data-driven company culture
- create data management roadmap
- understand end-user requirements for BI
- identify data sources for BI applications
Best-in-class technology enablers:
- BI query and reporting tools
- data integration tools
- data visualisation software
- master data management software
To achieve best-in-class performance, companies must:
- automate the capture and indexing of growing data volumes
- assess organisational data needs across functional silos
- invest in data cleansing technology
