1. To provide autonomy and self sufficiency to those charged with extracting, reporting and analyzing data.
2. To improve data quality, consistency, and completeness.
3. To enhance business agility and ensure that data is timely and accessible and can be transformed into meaningful information to support effective decision-making.
4. To provide an authoritative and secure environment for data management.

The Challenge:

• Data extraction, integration issues:
  • Several disparate systems with data stored on segregated platforms
  • Different tools for data extraction
  • Reliance on specialized knowledge
  • Time-intensive security efforts
• Reporting issues:
  • Excessive time defining, linking, assembling, verifying data
  • Insufficient time devoted to planning, analysis, anticipating, innovation
  • Decisions based on incomplete data (want evidenced-based decision making)

The Solution:

• Develop an enterprise-wide data warehouse to be deployed incrementally along with end-user, web-based query and reporting tools using the SAS® Intelligence Value Chain
• Provide an authoritative and secure environment for data management
• Enhanced business agility through timely, accessible and meaningful information to support effective decision making