Authored on: Feb 11, 2014
It's no longer a question of if your company will be adopting cloud-based solutions, but when and how many. Gartner predicts that by the end of 2016, more than 50 percent of Global 1000 companies will have stored customer-sensitive data in the public cloud. With the proliferation of cloud-based applications, platforms and infrastructure, the potential for data fragmentation and disconnected data silos has grown exponentially. While the benefits of cloud computing have been well documented-scalability, business agility, and cost are usually at the top of the list, from the outset, the push to adopt SaaS applications in the enterprise has come from the business. Individual business units, departments and divisions refuse to accept the timeframes and limited resources of corporate IT, at times even making cloud application purchases on credit cards. But in order to execute cross-functional business processes within these newly deployed SaaS applications, departmental implementations inevitably reach their limits and corporate IT support is required.
The importance of the right approach to cloud data management has emerged as both a business and IT imperative. Historically recognized as one of the top barriers to cloud adoption, if properly managed and maintained, data integration and data quality can actually become critical enablers of cloud computing success. This paper will introduce a cloud data management reference architecture based on the Lean Management principles and outline the key capabilities that are available with Informatica Cloud.