Results

The right foundation

• LTM built a solution that would maximize Burns & McDonnell’s data.

“We decided to partner with Microsoft Azure for Burns & McDonnell as a part of the data transformation journey to achieve the next level objectives as a part of this journey. Over the past few years, [Burns & McDonnell] has focused on technical introduction in the state and modernizing the Data Foundation. The next focus became functional domain-based solutions towards which foundation change had to be made with a data mesh data fabric architecture”  - Sundaram

This solution was built with:

• Azure Kubernetes Service (AKS)
• Azure Databricks
• Azure Key Vault
• Azure Virtual network peering

“We implemented the project transaction model for Burns & McDonnell. Using this, we successfully extracted data from hundreds of people across different sources and standardized it into a one single format compliant with the data platform architecture”                - Naushad Khambhawala, Head of Global Manufacturing unit at LTM

One of the Azure offerings, Azure Innovate, also played a huge role in accelerating the solution. Azure Innovate provides significant value to customers by enabling advanced innovation needs such as integrating AI into applications, leveraging advanced analytics, and building custom cloud-native applications. Through the offering, Burns & McDonnell could offset the costs of the project with partner funding, access Microsoft experts, and build on a flexible infrastructure with best practices to ensure support for the increasing data requests and complexity.

“LTM and [the] Azure Innovate [offering] helped us quickly accelerate our modernization efforts and create the initial framework for data organization and cataloging. We were able to create a domain-based metadata management and data serving capabilities governed by corporate data stewards”   - Heryer

Challenge

Constructing the solution

Solutions

Scattered information

• Burns & McDonnell wanted to strengthen its data standardization and create a central repository for company data. This would allow its team to enrich the data, leverage artificial intelligence, evaluate data quality, and provide improvement feedback to governance teams, leadership, and project teams.
• "Our organization embarked on a data initiative, making a significant portion of our corporate data available to the organization. The original architecture was not flexible and not scalable, limiting the type of questions it could answer. As automation grew and data volumes increased, these models frequently hit the limitations and required constant monitoring and intervention,” Sudheen Karri, Data Governance Manager at Burns & McDonnell said.
• Burns & McDonnell turned to LTM for its experience in data transformation and its partnership with Microsoft as a vendor and customer.
• “They were experts in the tools and technologies that we chose for our data platform. In addition to that, LTM has an agile data engineering practice that [helped] our team substantially. We were able to get new data pipelines running quickly," John Heryer, Data Engineering and Integration Manager at Burns & McDonnell said.
• As a partner, LTM has made significant investments with Microsoft over the years in building capability, as well as co-create joint offerings and solutions for its customers.
• “Burns & McDonnell is a very strategic customer for LTM. We decided that based on our past experience working with Microsoft and their next generation platform capabilities around data mesh, that would be the right backdrop for this modernization program and Burns & McDonnell. That's the reason why we proposed Microsoft-centric architecture, and we've implemented the solution to truly benefit Burns & McDonnell,” Rajesh Sundaram, Chief Business Officer, Manufacturing Business Unit at LTM said.

Technologies

Brick by brick

Now the data product solution helps Burns & McDonnell leverage data standardization to move the company in the right direction. “We significantly accelerated modernization efforts. With this initiative, we were able to establish an initial framework for the organization. Domain structure, curation, cataloging, metadata management, and data solving of workers have been improved significantly”-Sudheen Burns & McDonnell has seen: Domain-specific standardization in data available Reduction of data duplication Standardization of enterprise data Minimization of time to onboard data to Databricks Established end-to-end lineage “We're expecting a 50% increase in deployment by the end of the year. Our data processing speeds have increased significantly. Our workloads that used to take hours now take minutes and our users are reporting an increased satisfaction from a consistent data interface for their business applications” -Heryer With Microsoft Azure, LTM and Burns & McDonnell are leveraging secure data through the Data Mesh Pattern which exceeds expectation. Using data is important for the success of our customers because [it] enables them to harness the full potential of their data assets by decentralizing data ownership and fostering a culture of data collaboration. Organizations can accelerate generations of data insight and drive innovation and achieve a full competitive advantage -Khambhawala