How to Better Integrate Cloud Apps by Managing the Integration Lifecycle

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Integration Lifecycle Management

Consider adopting the five stages of integration lifecycle management, including:

  • Design phase
  • Develop phase
  • Deploy phase
  • Run phase
  • Commercialize phase

Just as a CRM project has a distinct lifecycle that lasts long after an SI's consultants move on to new projects, so too does integration. Research from Gartner has shown that up to 90 percent of the total cost of ownership for custom applications comes after the initial development and deployment, and integration is no different.

To ensure the success of the integration over its lifetime, consider adopting a concept called integration lifecycle management to give you a framework for lowering total cost of ownership and enhancing long-term business agility and success.

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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