Business Applications of Integration Platform as a Service
Like most enterprise technology purchasing decisions, the best bet is to always choose the tool that best fits the business environment and use cases.
FREMONT, CA: Cloud and hybrid integration are becoming the new norm for enterprises that wish to connect applications and data for faster insight. This is vital when data is the name of the game and new resources are coming online. There is also the Integration Platform as a Service software that can be deployed faster than legacy enterprise application integration middleware. Evaluating the Integration Platform as a Service offering can be a daunting process, one that demands a significant deal of research. Though Integration Platform as Service applications solve enterprise integration challenges, these tools can also be used across verticals and implementation models. Integration Platform as Service technologies integrates both EAI and self-service data preparation.
Enterprises run an average of about 500 different applications. That number will increase over the next few years. This is where application integration enters into play. A single solution gathers incoming data and pushes it out to applications. The advantage of this application integration is an automated workflow. Before the advent of application integration tools, the chain of events involves gathering emails or a sneakernet. At scale, this would translate to major losses in terms of time and efficiency as workers transcribe and upload data. When evaluating application integration software, it must connect to every data source in the enterprises. Without interoperability, firms are faced with data silos that might play a useful role in analytics but are isolated from view.
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Data integration is a combination of business processes used to combine different data from disparate sources. This process supports the analytic processing of data by aligning and presenting each data store to a user. Organizations use data integration software for enterprise-wide data delivery, data quality, governance, and analytics. Data integration tools enable organizations to better understand and retain their customers, help collaboration between departments, mitigate project timelines with automated development, and maintain security and compliance. Traditional data integration providers continue to offer potentials for bulk, message-oriented movement, and replication.