Customer Scenario

A logistics customer was presented with a game-changing opportunity to create a partnership that would better serve their customers. The opportunity would enable the logistics customer to escalate their acceptance of digital information, retire antiquated communication methods, and potentially double the company’s revenue.

The customers’ potential partner made the opportunity contingent on the logistics company demonstrating systems and processes capable of integrated and secure data operations.

Unfortunately, the company’s 20-year-old data architecture and systems suffered from inconsistent management, data integrity issues, and no defined path to improve the control and quality of data. 

They needed to plan and implement a modern integration and data agility architecture that would enable the company to automate processes, ensure data quality, and accelerate future innovation. This plan and implementation would allow the company to increase data quality and process efficiency, ultimately decreasing cost and increasing profitability. 

Solution

Big Compass was engaged to help the customer assess, analyze, and plan how their systems and processes would demonstrate the data integration needs of their partner and provide the basis for an enterprise integration foundation.

A Data Agility Strategy was developed using Big Compass’ proven methodology: Workshop, Discovery, Assessment, and Visioning.

First, a workshop focused on the company’s Data Maturity Model.  Next, the discovery and identification of available integration assets and projects were conducted. This provided the input into an analysis of one-off and reusable integration assets. And finally, a prospective maturity model, reference architecture, and implementation plan were envisioned.

The Data Agility Strategy engagement ultimately revealed that the company’s B2B and EDI plan needed to drive changes to its data architecture and integration processes. 

The Results

The Data Agility Strategy outcome allowed the customer to plan and implement a rationalized business API design to support their anticipated growth and improve efficiency. 

The engagement resulted in the following:

1. The recommendation to supplement their existing integration infrastructure with Boomi for API Management (APIM), EDI, Transport API, and other classic integration needs. 
2. The identification of 77 reusable business-level services (an initial integration foundation).  
3. A reference technical architecture and implementation plan.

The customer now had a vision for an organized, consistent, and effective data agility strategy that allowed it to move forward with the proposed partnership.