How to Better Integrate Cloud Apps by Managing the Integration Lifecycle
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Improving Project Success
Integration lifecycle management improves project success by lowering ownership costs, ensuring faster response to issues, increasing staffing flexibility as well as business agility.
Cloud application adoption has increased the need for integration, but has also put a ceiling on the costs that organizations will pay for well-integrated applications. Organizations must adjust their development and management approach to keep their integration costs below that ceiling. An integration lifecycle management approach improves the likelihood of project success by lowering total cost of ownership, increasing responsiveness, increasing the ability for staff to support integrations and allowing the business to change more quickly.
Integrating on-premise systems and applications was tough enough, but the cloud era – and the rise of hybrid environments – brings its own unique integration challenges. In today's cloud world, organizations large and small have more fragmented application portfolios than ever before. Complicating the integration challenge even further is the fact that cloud applications change at five to 10 times the pace of traditional on-premise applications, while at the same time increasingly data-driven, line-of-business users are demanding high quality data and are expecting "plug and play" applications that connect immediately.
While plug-and-play applications may be in our future as more SaaS providers embed integration technology into their applications, it's not yet a reality in most cases. In this slideshow, John Joseph, vice president of marketing at Scribe Software, explains how IT managers and systems integrators (SIs) can keep pace with increasingly demanding integration needs by taking steps to manage the entire cloud integration lifecycle.
John Joseph is vice president of marketing, Scribe Software. For more than 20 years, John has been driving the product and marketing strategies of software companies with breakthrough products, including platforms related to data integration and analytics. John earned a bachelor's degree in Electrical Engineering from MIT, an advanced degree in Electrical Engineering from the University of Southern California and an MBA from MIT's Sloan School of Management.
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