Case study

Digital Transformation for Global Enterprises with Scalable Data Solutions and AI

About Client

A global professional services firm specializing in restructuring, performance improvement, and business transformation, with an estimated annual revenue of $2.5–$3 billion.
With 40+ years of experience, their clientele spans Fortune 500 companies, private equity firms, and government organizations across finance, healthcare, retail, and energy sectors.

Problem STATEMENT

High Cost Structures – Our client struggled with rising operational expenses across departments, leading to shrinking profit margins and reduced financial flexibility.
Process Inefficiencies – They faced unoptimized workflows and siloed operations, which hampered scalability and slowed overall productivity.
Limited Data-Driven Decision-Making – The absence of a robust analytics framework meant critical decisions were often made with limited access to live insights or forecasting capabilities.
Digital Transformation Gaps – Outdated technology systems limited their ability to automate processes and engage customers through modern digital channels.
Change Management Hurdles – Internal resistance to change created roadblocks for transformation initiatives, delaying progress and affecting stakeholder alignment.

Solution

When we first sat down to understand the client’s challenges, it was clear that they required a financial restructuring, operational improvements, and digital transformation. By offering two Azure-based solutions to them, these steps were taken into account.

Unified Data Platform with Azure Fabric
Our developers implemented Microsoft Fabric along with OneLake and Power BI to help the client create a centralized system for data transformation, analytics, and AI integration across departments.

Scalable Storage with Azure ADLS
We built a secure and efficient storage setup using Azure Data Factory, ADLS Gen2, BLOB, Azure SQL, and Data Explorer. This gave the client a flexible and well-governed data environment that supports future growth.

Technical Implementation

1. Azure Fabric Implementation

Data Integration and Management

Unified data processing using Microsoft Fabric and OneLake for smooth data transformation and storage.
Integrated data pipelines across ETL, analytics, and machine learning workflows.

AI and Analytics Enablement

Used built-in ML and AI features for predictive analytics and better decision-making.
Deployed Power BI for real-time insights and business dashboards.

Scalability and Performance

Enabled fast processing for structured and unstructured data.
Supported multi-cloud and hybrid setups for flexibility and scale.

2. Azure ADLS Implementation

Data Storage and Processing

Used Azure Data Factory to manage ETL pipelines and data movement.
Set up ADLS Gen2 and BLOB for secure, scalable storage.
Applied Azure SQL and Data Explorer for real-time and structured data processing.

Business Intelligence and Reporting

Connected Power BI for dashboards and visual reporting.
Enabled real-time insights for faster, data-driven decisions.

Security and Compliance

Applied RBAC, encryption, and Azure Policy for secure data governance.
Set up audit trails and access controls to meet compliance needs.

Technical Architecture

Business Impact

Reduced Costs and Better Cash Flow

The shift to automated data workflows helped the client cut operational costs by 15–20% and improve cash flow management by up to 25%.

Smarter, Faster Decisions

AI-powered insights and real-time analytics boosted forecasting accuracy by 25% and supported a 10–15% increase in revenue through better decision-making.

Increased Efficiency

Data processing became 40% faster with 30% less manual work, thanks to Azure Data Factory and OneLake.

Real-Time Reporting

Power BI replaced manual reports, reducing reporting time from days to minutes and improving response time across teams.

Scalable Cloud Infrastructure

A fully cloud-native Azure setup ensures security, flexibility, and room for future growth, setting the foundation for sustained digital success.

The integrated solution simplified data workflows, minimized manual processes, and allowed the client to access real-time insights. This helped their teams make faster, more informed decisions and improve overall performance.

Industry

Financial Services & Banking

Services Used

Azure Data Engineering, Business Intelligence (BI), Data Governance, Digital Transformation, Machine Learning, Power BI

Region

Function/Department

Legal and Compliance, Operations Management, Sales and Business Development, Strategy and Planning

Engagement Model

End to End Project Lifecycle Management

Drop Your Business Concern

Briefly describe the challenges you’re facing, and we’ll offer relevant insights, resources, or a quote.

Ankush

Business Development Head
Discussing Tailored Business Solutions

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By Technology

Data Engineering

Business Intelligence

AI & Machine Learning

By Engagement Model

By Use Case

By Technology

Data Engineering

Business Intelligence

AI & Machine Learning

By Engagement Model

By Use Case

Digital Transformation for Global Enterprises with Scalable Data Solutions and AI

About Client

Problem STATEMENT

Solution

Technical Implementation

1. Azure Fabric Implementation

2. Azure ADLS Implementation

Technical Architecture

Business Impact

Reduced Costs and Better Cash Flow

Smarter, Faster Decisions

Increased Efficiency

Real-Time Reporting

Scalable Cloud Infrastructure

Industry

Services Used

Region

Function/Department

Engagement Model

Drop Your Business Concern

Ankush

Services

Data Engineering

AI & Machine Learning

Business Intelligence

Use Cases

Products

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