Business Agility Depends on Data Integration Agility and Your Skills

data integration agilityOver the last 40 years, data has become increasingly distributed.  It used to all sit on storage connected to a mainframe.  It used to be that the application of computing power to solve business problems was limited by the availability of CPU, memory, network and disk.  Those limitations are no longer big inhibitors.  Data fragmentation is now the new inhibitor to business agility.   Data is now generated from distributed data sources not just within a corporation, but from business partners, from device sensors and from consumers Facebook-ing and tweeting away on the internet.

So to solve any interesting business problem in today’s fragmented data world, you now have to pull data together from a wide variety of data sources.  That means business agility 100% depends on data integration agility.  But how do you do deliver that agility in a way that is not just fast, but reliable, and delivers high quality data?

First, to achieve data integration agility, you need to move from a traditional waterfall development process to an agile development process.

Second, if you need reliability, you have to think about how you start treating your data integration process as a critical business process.  That means thinking about how you will make your integration processes highly available.  It also means you need to monitor and validate your operational data integration processes on an ongoing basis.   The good news is that the capabilities you need for data validation as well as operational monitoring and alerting for your data integration process are now built into Informatica’s newest PowerCenter Edition, PowerCenter Premium Edition.

Lastly, the days where you can just move data from A to B without including a data quality process are over.  Great data doesn’t happen by accident, it happens by design.  And that means you also have to build in data quality directly into your data integration process.

Great businesses depend on great data.  And great data means data that is delivered on time, with confidence and with high quality.    So think about how your understanding of data integration and great data can make your career.  Great businesses depend on great data and people like you who have the skills to make a difference.     As a data professional,  the time has never been better for you to make a contribution to the greatness of your organization.   You have the opportunity to make a difference and have an impact because your skills and your understanding of data integration has never been more critical.