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Maturity model guides evolution of business intelligence success
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Putting the information pieces together

Whether your organization is in the early stages of BI or is taking past efforts to new heights, you need to aggregate diverse sources of information to glean insight into your customers and operations.

No matter where you are in the BI journey, HP can help access the information you need to enable better business decisions. You may want to manage customer profitability, predict outcomes or drive compliance efforts. You need to combine data from multiple business units and subject areas. Or, consolidate standalone data warehouses and marts, progressing toward enterprise data warehousing.

Creating the right infrastructure

Business Intelligence Information Integration Services from HP allow you to integrate data across the enterprise to support increasingly sophisticated analytics and diverse user communities.



Our services offer a solid foundation for integrating and sharing data across your organization:

  • Information architecture lays the foundation—providing the technical, process and organizational architectures required to capture, manage and deliver information, as well as leveraging service-oriented architecture (SOA) to enable agility across initiatives

  • Data integration brings it all together—developing processes and deploying tools to capture data from source systems and reconstructing data as needed with an emphasis on scalability and reusability:
    • Extract, transform and load-based integration services—delivering a batch-oriented solution that delivers data upon scheduled intervals
    • Message-based integration services—creating an event-driven solution in which applications subscribe to real-time messages generated upon prescribed business events

  • Information repositories make it available—storing data in the correct formats for use by various applications, using the right repository for the business need:
    • Data hub for supporting publish-and-subscribe data services
    • Data warehouse for trends analysis over time and across business units
    • Operational data store  for time-sensitive cross-functional operational data needs
    • Data mart for application-specific analyses against a data subset from other repositories
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