Make Implementation

Datarex brought a clients custom integrations into an integration platform (Make) and developed robust error handling, queuing, and notifications.

White Glove

Project Overview

Connected Systems with managed pipelines

Datarex worked on a project for a client that had multiple services for the same customer base and wanted to do cross-program marketing and improve cross-program communications. The client was unhappy with their processes because their data and information were isolated by department and system. The existing integrations were cron jobs/custom code that would fail silently because they weren’t robust enough to create notifications and logs on failure.

Using APIs and database connectors we successfully linked their custom applications and COTS applications together using an amazing integration platform. Datarex worked with the client to develop a timeline and phases for which systems will be integrated. After working with the SME’s and analyzing the data in each system, Datarex constructed batch and real-time data pipelines to distribute the data across their organization and into the right systems.

This enabled the client to have a top-down view of their customers, which programs and services they are involved in, and what information is available about them. This greatly helped with cross-program marketing and cross-selling initiatives, as well as enabled a centralized customer support process.


Project Key Benefits

Improved Marketing

The client was able to develop a top-down view of the customer to see which programs and services they had subscribed to.

Automated Data Flows

Using Make, the client saved time automating the flow of data from source to target. No more manual loads!

Error Notifications

Error handling does its best, but when it can’t the workflows will notify the required teams about the issues.

Webhook Queuing System

Make webhooks utilize a queuing system so no message is lost. Some webhooks can enforce sequential processing while others can be executed in parallel offering superior performance and user experience.

Storing Incomplete Executions

If any step along an automation pipeline throws a warning, Make can be configured to store the complete execution so that the issue can be addressed, and the data can be re-processed at a later time.

Automatically Scalable

The Make platform will automatically scale based on the usage. This ensures that even during periods of increased demand, the user experience remains seamless, and reliability remains uncompromised.

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