Data integration is the process of combining data from many different sources into an application. You need to deliver the right data in the right format at the right timeframe to fuel great analytics and business processes.
A data integration project usually involves the following steps:
Informatica has been positioned as a leader on the Gartner Data Integration Tools Magic Quadrant for 10 consecutive years.
You’ve learned from bitter experience that if you’re not managing your data, the data will overpower your business. But you wouldn’t write your own database or code an enterprise ERP system in your IT shop. Likewise, you shouldn’t hand-code your data integration projects. You need a proven, automated, and agile data integration solution that lets you combine or migrate data swiftly, painlessly, and cost effectively—one that gives you:
For more than 20 years, Informatica Data Integration has refined fragmented data—small or big, clean or dirty, complete or incomplete—into complete, trustworthy assets. Our approach offers:
Built on the Informatica Platform and our Integration Competency Model, Informatica data integration projects are five times faster and 50 percent more productive than hand-coded initiatives.
Our data integration transforms the value of your data—arguably now your most critical asset—faster, more effectively, in more situations, and for more needs, than any other solution.
1 Comparative costs and uses for data integration platforms, Bloor Research, March 2014.