Eliminating Barriers to Operational and Analytical Effectiveness through Enterprise Information Management
According to IDC’s recent Digital Universe study, in 2009 there was an estimated 800,000 petabytes (or 800,000,000,000 gigabytes) of digital information, with an expectation that by the end of 2010 that amount would approach 1.2 million petabytes. While data volumes explode, organizations reeling under the burden are increasingly recognizing the value of enterprise information management, or EIM.
Application and data migrations can be sorely hampered by typical data issues, and both operational and analytical applications are impacted by data management challenges such as poor data quality, untimely or limited access to critical data sources, the need to synchronize data across applications, or duplicated efforts for data extraction and integration. In this web seminar, we look at common data challenges relating to operational, analytical, and migration applications and activities, and explore how an end-to-end EIM approach can improve enterprise data quality, reduce development efforts, and standardize data integration methods to ensure consistent and efficient access to critical enterprise information assets.
You Will Learn:
- How the data explosions and corresponding data quality issues impede the success of operational and analytical applications
- Opportunities for improving data reliability, accuracy, and timeliness across the organization
- Ways to reduce the complex data integration development effort for data migrations
- How to improve the reliability and trustworthiness of reports
- How to integrate unstructured data into the environment
- How to rapidly address challenges using tools and techniques such as data cleansing, data profiling, data integration, data federation, metadata management, and text analysis for effective information management