Data Consolidation

Create New Efficiencies by Reducing System and Application Complexity

The need to drive down IT costs and bolster efficiencies has resulted in an increasing trend towards data consolidation. Organizations are increasingly taking on application and platform consolidation to help rationalize IT infrastructure, reduce IT cost and complexity, and take advantage of newer technologies.

Whether consolidating existing systems or implementing new application functionality, IT must deal with data—complex, diverse, and large volumes of data. Typically, that data resides in existing legacy systems and must be migrated into new systems—a complicated and potentially high-risk process.

Data consolidation—a critical and time consuming phase of an application implementation, upgrade, or instance consolidation—is often an underestimated sub task of the entire application project.  In fact, moving the data can often consume up to 40 percent of a project's entire budget.

Challenges

Data consolidation is often time consuming and complex because:

• Complex legacy systems requiring scarce, specialist skill sets
• Lack of documentation of customized systems results in discrepancies between what should be identical systems
• Poor data quality—riddled with significant redundancies and inconsistencies—between master data such as customer, product and partner

The Informatica Solution

Informatica helps customers accelerate the consolidation of data for new application, application upgrade, and consolidation projects by providing data access, profiling, cleansing, and transformation—all built into a single platform.

By leveraging Informatica's unified data integration platform for their data consolidation projects, organizations benefit from:

• Faster and lower-cost data consolidation
• Lower ongoing IT operations and maintenance costs
• Improved data consistency across systems, processes, and organizations
• Increased responsiveness to the business

• Seamless, non-invasive access to enterprise data sources, including native mainframe and midrange access.
• Patented change data capture (CDC)
• Built-in data profiling and highly productive development tools for rapid discovery, development, and implementation of business logic
• Built-in data transformation and cleansing capabilities for reconciling data from multiple sources together
• Highly productive team development environment with automated documentation and data-ready reporting for reviewing consolidated data and the full audit trail each step of the way