Solving your application and data integration challenges
Date: Jan 11, 2010Because of the poor economy and corporate demands to increase revenue while cutting costs, business users are asking for more information now than ever before, according to Rick Sherman, founder of Athena IT Solutions. The benefits of making more data available via a strong integration process are obvious, Sherman says, but many companies continue to struggle to solve their integration problems.
In this video interview, Sherman discusses the pros and cons of different integration technologies as well as service-oriented architectures (SOA) and enterprise resource planning (ERP) software, and gives his take on the most successful integration tools for businesses. He also discusses how to overcome application and data integration challenges, build a business case for integration projects and show return on investment (ROI) on your integration implementations.
In this 11-minute videocast, viewers will learn:
- Why application and data integration challenges are so prevalent in companies today, and the benefits of successful integration implementations
- Why technologies such as SOA and ERP have failed to deliver on their promises of integration harmony
- The types of data and application integration technologies that are successful and making a difference in businesses
- Why hand-coding is a less desirable approach than using packaged extract, transform and load (ETL) tools
- How technical and IT professionals should tackle integration challenges and problems
- How to build a business case and show ROI for data and application integration projects
Related resources on data integration and application integration:
- Make sure you've brushed up on the top eight integration definitions and buzzwords
- Learn how efficiencies can be gained at the intersection of middleware and data integration
- See what upstarts are challenging Informatica and IBM for the top spots in the data integration market
- Learn why interest in open source data integration is growing
- Find out how data integration for SaaS BI software is evolving
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