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What is data integration?
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:
Quality is a relative and never-ending judgment, one that needs to be defined by the business (or business unit) that’s consuming the data. An essential element of holistic data governance, trustworthy data serves critical business needs across the enterprise—from legal to finance to marketing and beyond.
Driving data quality requires a repeatable process that includes:
Informatica has been positioned as a leader on the Gartner Data Integration Tools Magic Quadrant for 10 consecutive years.
Experts at Bloor Research estimate up to 80% of a data scientist's time is spent preparing the data rather than analyzing it.
How you benefit from data integration
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:
or 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.
That’s how much faster a data warehousing project goes with Informatica compared to hand coding, according to analysis conducted by Bloor Research.