End-to-End Ownership of Data

The most versitile set of tools to enable your applications to exchange information reliably. This is everything you need to ensure you have End-to-End ownership of data in the integration space starting from the moment we acknowledge an external request until the time we carry out all instructions successfully.

iPaaS.com makes it easy to extend your or your customers’ distributed architecture with a first-class integration toolset.
Learn more about iPaaS.com APIs in Developer Tools.

Sharable Connectors​

The power of any platform is in its ability to align an ecosystem of users who voice their influence over roadmaps and share in the priority and cost to develop it out. As a system matures, users become more agile and proportionate maintenance costs shrink with growth. A mature system like iPaaS.com can equip new customers with certified integrations and proven templates which increase predictability in service offering, shorten the timeline to deploy, and drastically decrease the initial costs thanks to the investments made by those customers who came before them.

For a full list of available integrations, click here.

Centrally Managed

With 3, 4, or even 10 systems depending upon each other for different data elements and triggering events, it doesn’t take long before they become unmanageable. The most efficient point-to-point integration networks will, at best, provide a complex color-coordinated network of arrows between boxes with little understanding for what occurs in each arrow or what language it is in. Trying to keep up with the developer responsible for each becomes difficult on its own, and the cost of analyzing it before any upgrade balloons.

iPaaS.com brings all of the integration settings into a common portal using our data standards, and replaces code with no-tech/low-tech interactions so your team can easily review and manage the entire integration network with ease. Compare the performance of dependent technologies and watch live interactions on a managed services dashboard. Wow!

User Definable Foriegn Data Models

With all integrated applications, you have the ability to override standard endpoint requests and configure iPaaS.com to assemble grouped Foriegn Data Objects that organize a collection of third-party response data into Parent/Child data models, with built-in response handlers.

Go ahead. Get creative.

Managed Data Relationships

All data objects arriving-to or departing-from iPaaS.com must have defined relationships with at least one of our Common Data Models. Data can be mapped directly using default text values, field-to-field relationships, predefined-function including calculation, and alteration. Child-aggregation routines can manipulate a value before mapping, or you may create options flag maps. Additional fields can be created to support multiple mappings from the same origin value.

With so many options available, it will be difficult to find a scenario that is not supported.

Rules-based Filtering and Data Validation

In some cases, third-party systems may request that iPaaS.com process an incoming request, however after receiving it, determine whether the data meets the conditions to continue operations. Filtering rules can be configured to do just that.

In other cases, data may be passed in with an unacceptable value, even though it is technically valid. In this case, data validation can be used to reject the continuation with an Error. This is very imporant when intervention in the third-party application is required rather than just transforming and continuing.

Scheduling and Third-party Metering

Some 3rd party applications meter their API interactions to rate limit its use. Others may not limit rates, but meter to charge an increased premium beyond “normal” volume.

With iPaaS.com, it is possible to enforce configured Rate Limits through iPaaS.com in order to prevent over-use of a 3rd party application that may result in overage charges during peak periods. Additionally, you will soon be able to limit traffic between certain applications and iPaaS.com.

Connected Apps

iPaaS.com provides a unique way of connecting apps that departs from the traditional point-to-point legacy models. All applications transform to common data models which can be subscribed to by any other integrated application. If a CRM triggers an update to customer data, one or more systems subscribed to the common customer data will be updated with the new information originating from the CRM.

The CRM and Loyalty program can also be subscribed to the same common data model, similarly triggering their API’s to be updated upon request by the Order Management System.

End-to-End Monitored Activity Logs

When we say End-to-End ownership of data, we mean maintaining accountability throughout the entire process. In some cases, validation, filtering, or metering rules will prevent transferring data that does not pass the rules entered by our users, and positively end the integration cycle.

With so many moving parts in a tech ecosystem, it is possible for one group like the customer experience team to be unsure why an order originating in eCommerce did not transfer to the Point-of-Sale. iPaaS.com activity logs provide full transparency on every decision point from the time an external system request is acknowledged until the time all configured rulesets have completed.

Error Handling and Third-party Communication

Sometimes systems take a break or were configued out of alignment with the settings configured in iPaaS.com. We don’t like it when that happens, but when it does - it is outside our control, so we planned on that for you and us. When iPaaS.com detects an error from Validation rules, Response Codes, or other triggering events, the data is flagged as having an error condition and:

1) Made available for reporting upon.

2) Repeated re-attempts in case the condition was resolved.

3) Notify the responsible party of the error and what is expected to resolve.

4) Escalate issues to other parties when resolution is not met.

Rules based Reconcilation and Conflict Handling

We’ve all felt the pain of reconciliation problems! Two isolated datasets having similar data, but with conflicting ID’s like manufacturer product lists having the same sku’s. We don’t like that either, so we built in rules for how to handle that.

And...Data conflicts that occur on protected fields for related records. We’ve got that covered too. You can preset rules to choose the winner, or request intervention.

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