Top pressures driving data management initiatives:
- too much crucial business information is delivered late
- growing data is inaccessible or under-utilised for business analysis
- data is too fragmented / “siloed” to develop a clear picture of the business
- the volume of data is growing too rapidly for current data infrastructure
Top strategic actions to support data management:
- create a long-term strategy roadmap for managing big data
- broaden accessibility of data across functions / departments
- gather and incorporate end-user requirements for data
- identify key data sources required for analysis
Process and organisational capabilities:
- decision-making culture that values the use of supporting data
- ability to assess data needs across multiple departments
Knowledge and performance management capabilities:
- data definitions continuously maintained and updated
- data quality issues are continuously captured and monitored
Best-in-class technology enablers:
- traditional BI platform
- data query / discovery tools
- interactive / drill down reports
- data quality tools (e.g. cleansing, enrichment)
To achieve best-in-class performance, companies must:
- elevate data management initiatives to the executive level
- improve ability to measure time-to-information
- evaluate data quality technologies
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