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Data Warehousing

Empower the Business with Better Information

IT organizations deliver significant value to the business through solutions such as data warehouses, data marts, business intelligence and operational data stores. These solutions require the reconciliation and delivery of large amounts of enterprise data across a variety of sources. A daunting and complex task that is often time consuming and riddled with cost overruns. Most experts agree. Typical data warehousing solutions require 70 percent of the resources focused on finding, reconciling and loading the data warehouse and 70 percent of the cost geared towards ongoing operations and management.

Challenges:

Data warehousing solutions are often expensive and risky because:

  • Access and understanding of older and legacy systems require specialist skill sets

  • Ever growing volumes of data and demand for real-time data feeds

  • Complexity of changing business requirements, source data systems, and reporting hierarchies

  • Inability to deliver access to data warehouses for large communities of users

  • Slow or poor adoption due to little confidence in the data

The IBM WebSphere DataStage Solution (aka Ascential DataStage)

DataStage has helped leading organizations successfully deliver their data warehouse projects under budget and with greater business adoption rates. Using IBM DataStage product family, organizations benefit from a secure, scalable, and flexible foundation with all the capabilities required for creating and managing data warehouse environments.

IBM WebSphere DataStage

WebSphere DataStage delivers three key capabilities necessary for success in enterprise data integration: the most comprehensive connectivity to easily and quickly access any source or target system; advanced development and maintenance tools, which speed implementation and simplify administration; and a scalable platform that can easily handle today’s massive volumes of corporate data. WebSphere DataStage supports the collection, integration and transformation of high volumes of data, with data structures ranging from simple to highly complex. WebSphere DataStage manages data arriving within seconds of being acquired, as well as massive quantities of data that flood the system, in daily, weekly or monthly processing intervals.

Value to your organization

  • Ensures all business decisions are based on complete, relevant, and accurate data

  • Gets answers to business users faster

  • Dramatically speeds development time, time-to-value and ROI of enterprise applications

  • Continuously adds value to data

  • Provides complete understanding, history and context of data for business and technical users

  • Accommodates unlimited data volume growth without requiring costly application rewrites

  • Leverages and extends value of existing code investments

  • Real-time data integration support

IBM WebSphere ProfileStage

While the ultimate success of data integration ends with the delivery of reliable, relevant and complete information to end users, it starts with one of the toughest problems of all-understanding source systems. Until recently, data profiling has been a manual, labor-intensive, resource-devouring and error-prone process. Depending on the number and size of the systems, analysis can often take months or years. And it's not something you can avoid - because it establishes the foundation for all data integration initiatives to come.

IBM WebSphere ProfileStage, a key integration product in IBM's Enterprise Integration Suite, is our best-in-class, data profiling and source system analysis solution. IBM WebSphere ProfileStage completely automates this all-important first step in data integration - dramatically reducing the time it takes to profile data from months to weeks or even days. IBM WebSphere ProfileStage also drastically reduces the overall time it takes to complete large-scale data integration projects, and can automatically create the ETL job definitions you can execute with IBM WebSphere DataStage.

Value to your organization

  • Reduces time and cost to implement CRM, data warehouse/BI, and other strategic customer-related IT initiatives and maximizes their ROI by ensuring their data quality

  • Constructs consolidated customer and household views-enabling more effective cross-selling, up-selling, and customer retention

  • Helps improve customer support and service and identifies a company's most profitable customers

IBM WebSphere QualityStage

IBM WebSphere QualityStage, a key product of the IBM WebSphere Data Integration Suite, ensures your strategic business systems (like enterprise applications, BI, e-business and data warehouses) contain accurate, complete information for delivery to business users across your enterprise. The result is better information so you can base your business decisions on the best information available.

Through an easy-to-use GUI and capabilities that can be customized to company business rules, IBM WebSphere QualityStage provides control over international names and addresses and related data such as phone numbers, birth dates, email addresses, and other descriptive and comment fields-and discovers relationships among them-in enterprise application, business process integration, master data management initiatives and e-commerce/self-service portals scenarios

Value to your organization

  • Reduces time and cost to implement CRM, data warehouse/BI, and other strategic customer-related IT initiatives and maximizes their ROI by ensuring their data quality

  • Constructs consolidated customer and household views-enabling more effective cross-selling, up-selling, and customer retention

  • Helps improve customer support and service and identifies a company's most profitable customers

Leveraging IBM WebSphere DataStage enterprise platform for data warehousing, organizations benefit from:

  • Decreased project lifecycle and increased time-to-value for business intelligence projects-from introduction to each successive release

  • Minimized risk of reducing project scope as a result of cost overruns and project delays

  • Improved data consistency across systems, processes and organizations

  • Increased responsiveness to the business

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