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Client
Burns & McDonnell is an engineering, architecture, construction, and consulting solutions firm with a rich history spanning more than a century. It remains committed to creating critical infrastructure for clients across the U.S. and beyond.
Market Trends In The Engineering And Construction Industry
Digital transformation is reshaping engineering and construction. Cloud, AI, and data-driven tools are streamlining workflows, enabling smarter decisions, and delivering faster, cost-effective results. Centralized, cloud-based platforms like Microsoft Azure are now essential for scalable, secure, and compliant data ecosystems.tools are streamlining workflows, enabling smarter decisions, and delivering faster, cost-effective results. Centralized, cloud-based platforms like Microsoft Azure are now essential for scalable, secure, and compliant data ecosystems.
The Engineering and Construction (ECNO) industry faces significant challenges such as supply chain disruptions, labor shortages, rising material and labor costs, and sustainability pressures. The biggest key challenge that the ECNO is facing today is the lack of data standardization with entails for –
- Inflexible and non-scalable architecture
- Lack of data standardization and centralized data repository
- Low data quality
- Lack of automation and monitoring
- Poor project quality and safety
These issues lead to increased project costs, delays, and difficulties in meeting deadlines.
The Need For Change
For Burns & McDonnell, the accumulation of data from each construction project was housed in multiple locations, leading to delays in getting timely feedback to governance teams, leadership, and project teams.
Burns & McDonnell encountered key challenges:
- Dispersed data sources: Data was scattered across multiple locations, causing inefficiencies in access and analysis
- Scalability issues: Their existing architecture was inflexible and could not handle the increasing data volumes or complexity
- Data duplication and quality: Lack of standardization led to duplicated data and limited visibility into data lineage
- Delayed feedback: Governance teams and analysts faced delays in providing actionable insights to leadership and project teams
LTIMindtree Solution
LTIMindtree aimed to strengthen Burns & McDonnell’s data standardization and create a central data repository to enrich data, leverage AI, and improve data quality. LTIMindtree’s agile data engineering practice quickly established new data pipelines, leveraging Microsoft’s next-generation platform capabilities around data mesh to modernize Burns & McDonnell’s data infrastructure. Partnering with LTIMindtree and Microsoft Azure, Burns & McDonnell built a scalable, secure, and future-ready data platform. Key components included:, Burns & McDonnell built a scalable, secure, and future-ready data platform. Key components included:
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Data mesh architecture for domain-centric standardization
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Azure Databricks, AKS, and AI/ML integration
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Real-time data lineage and feedback mechanisms
Business Benefits
50% increase in deployment speed
Significant gains in processing time—from hours to minutes
Higher user satisfaction through consistent data access
Reduced duplication & improved data quality
Accelerated time-to-value with Azure Innovate support
“Our partnership with one of the largest commercial property and casualty insurers in the U.S. reflects our shared vision for a data-driven, customer-first future. By modernizing their claims data platform, we’ve laid the groundwork for faster, smarter, and more seamless claim experiences for their policyholders. Together, we’ve built a foundation that drives operational excellence and elevates every customer interaction.”
— Prashanth Pulgal, Associate Vice President, Data & Analytics, LTIMindtree
LTIMindtree’s deep data transformation expertise and Microsoft Azure’s powerful capabilities enabled Burns & McDonnell to evolve into a data-first organization. With real-time insights, scalable architecture, and AI-driven decision-making, they’re redefining how infrastructure projects are delivered.
Are you looking to leverage LTIMindtree’s data expertise with Microsoft Azure for data-driven transformation?
Explore the Full Case Study!
Learn more about LTIMindtree’s Engineering and Construction Solutions
| Content Insights *Only for Content and Marketing Analysis Purpose – Not a Part of the Content | |
| Word Count | 1275 |
| Synopsis (For Metatags) | Discover how Burns & McDonnell, a leading engineering firm, partnered with LTIMindtree to transform data management using Microsoft Azure. By implementing a Data Mesh architecture, they centralized data, reduced duplication, and accelerated insights with AI. Key benefits included a 50% increase in deployment speed, faster processing, and improved user satisfaction, positioning the company for future growth and innovation. |
| Originality (using small SEO tools) Checked through https://smallseotools.com/plagiarism-checker/ | 100% Unique Content (No Plagiarism) |
| Keywords | |
| Readability | FLESCH KINCAID READING EASE – 24 FLESCH KINCAID GRADE LEVEL – 13.91 |
| Business Case | Industrial Manufacturing |
| Grammer and Spell Check Final | 100% Correct |
