Four Business Units Migrated to Azure Cloud

INDUSTRY
Telecommunications

SERVICES
Data Architecture
Data Pipelines
Business Process Mapping
Agile PMO

SKILLS
Azure Architect
Azure Developers
Business System Analysts
Scrum Master

The Challenge
Our client wanted to consolidate legacy systems supporting four disparate business units into a single solution using an Azure™ platform. In addition, the client needed a solution that would be flexible enough to migrate data from projected future acquisitions. They needed a proof-of-concept for a scalable solution within a nine week timeframe related to design, build, test, and deploy.

The Solution
Our engagement team deployed a team of cloud engineers and business systems analysts to design, build, test, and deploy an Azure platform proof-of-concept. Our team conducted the below activities as part of our solution:

• Our business systems analysts partnered with each of the business unit leads to define and create a system-to-target data map. This effort included creating mock data for testing data flows to support the future acquisitions.
• One of our lead architects worked with the client principals to define the highest value business objectives to demonstrate a viable and robust solution.
• Our ETL developers used metadata in the pipeline designs, which provided for rapid scaling with reduced friction.
• To track and monitor batch loads, we also created a custom notification solution which sent processing status updates to the relevant business owners and client technical leads.

The Result
Our team delivered the following results:

• We delivered the Cloud proof-of-concept eight weeks, ahead of targeted nine weeks.
• The metadata pipeline design increased the velocity of subsequent pipeline deployments.
• The time savings allowed the client to harden the POC and get an early start with follow-on migration activities.
• The custom code our team developed added significant value, as it provided the client with an early e-mail warning protocol targeted to towards acquisition data transfer issues. As a result of the quality of our output, our team was scaled and extended to deliver the full migration effort.