How to Better Integrate Cloud Apps by Managing the Integration Lifecycle

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Design Phase

The design phase includes identifying participants for the entire project, documenting the object model in plain language, and planning for rapid change.

In the design phase, prioritize integration projects and create a solid project plan that:

  • Identifies key participants for design through run phases and records their areas of expertise, helping you ramp up participants and allowing you to route errors to the appropriate individuals.
  • Outlines your object model, including which objects from each system are required for the integration, and how the objects from systems correspond.
  • Specifies the system of record for each synchronized object so conflicts between systems can be easily resolved.
  • Expresses project goals and details in plain language to minimize confusion and delays.

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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