Data Modernization Case Studies

Modernizing for Scalable AI Impact

Across industries, organizations are grappling with the realities of data modernization. The promise of AI is compelling—but realizing its full potential requires more than just technical upgrades. It demands a foundation of clean, trusted data, clear governance, and scalable infrastructure.

Yet many enterprises find themselves navigating fragmented systems, siloed innovation, and uncertainty around how to move forward. The journey from experimentation to transformation can feel daunting.

This article explores how two global enterprises tackled these challenges head-on. Through real-life examples of KPMG’s solutions, we’ll show how modernization can move from aspiration to execution—and how CDOs can unlock real business value by partnering with the right experts.

As organizations seek to unlock the full potential of AI, many face challenges with fragmented data, unclear governance, and limited scalability. KPMG’s data modernization solutions help enterprises build trusted, AI-ready data foundations—empowering teams to innovate, make faster decisions, and deliver measurable business value.

Data Modernization by KPMG Lets start a conversation about getting there

Case Study 1: Scaling GenAI Across the Enterprise

Before

At a global consumer brand, the appetite for AI was growing fast. Teams across marketing, sales, customer service, and legal were experimenting with GenAI tools, hoping to unlock new efficiencies and insights. But without a unified platform or governance model, innovation was happening in silos. Leadership worried about risk exposure, inconsistent results, and the inability to scale.

The company’s data environment was fragmented. Employees lacked confidence in the quality and accessibility of the data they were working with. The potential was there—but the foundation wasn’t.

How KPMG Helped

Recognizing the need for a more strategic approach, the company turned to KPMG to help transform scattered innovation into a unified, scalable solution Together, they designed a secure GenAI environment tailored to the company’s internal data and business needs. The solution included:

A centralized GenAI landing zone with built-in governance
Integration with internal datasets to enable enterprise-wide chat and search
Deployment of dozens of GenAI use cases across functions
A change management strategy to drive adoption and workforce enablement

Each solution was tied to a clear business outcome—from faster customer service response times to streamlined legal reviews. The transformation was not just technical—it was cultural.

After

Within months, the company had scaled GenAI across more than 4,500 employees. Teams were empowered to use AI responsibly and effectively. Operational efficiency improved, decision-making accelerated, and the organization gained a competitive edge by embedding AI into its core processes.

For the CDO, the story was clear: with the right foundation and partner, GenAI could deliver real, measurable value.

Case Study 2: Streamlining M&A with AI Automation

Before

When HP acquired a new business, the integration timeline was tight—and the stakes were high. Merging systems, reconciling data, and aligning KPIs across teams was proving more complex than anticipated. Manual processes dominated, and leadership lacked real-time visibility into progress.

The risk of delays, errors, and missed synergies was growing. The integration effort needed a smarter, faster approach.

How KPMG Helped

KPMG worked with HP to build a custom AI platform designed to automate and optimize the M&A integration process. The solution featured:

Over 50 AI-powered automations for tasks like budget modeling, data reconciliation, and KPI tracking
A centralized dashboard for real-time decision-making
Seamless integration with existing systems to ensure data consistency and accessibility
A scalable architecture that could support future transformation initiatives

By focusing on automation and insight, KPMG helped HP reduce manual effort, mitigate risk, and accelerate progress.

After

The results were immediate. HP achieved millions in efficiency gains, shortened its integration timeline, and improved cross-functional collaboration. The AI platform became more than a one-time solution—it laid the groundwork for future innovation.

For the CDO, the project was a proof point: data modernization could deliver strategic clarity and operational excellence.

1 | Modernization must be business-led

Aligning data strategy with enterprise goals drives adoption and impact.

2| Governance is a growth enabler

Clear frameworks unlock scale, trust, and responsible AI use.

3 | AI readiness starts with data quality

Structured, accessible, and secure data is the foundation for differentiated AI.

4 | Value must be visible

From efficiency gains to innovation, CDOs need to articulate impact in business terms.

5 | Scalability matters

Solutions must be designed to grow with the organization—not just solve today’s problems.

The Modernization Playbook for CDOs

Modernization isn’t just about solving today’s problems—it’s about building a foundation for what’s next. These stories offer a blueprint for CDOs looking to move from complexity to clarity, and from experimentation to enterprise-wide impact.

Evaluate Your Current Status

Before you can modernize with confidence, it’s important to understand where you stand. Ask yourself:

Is your data clean, trusted, and accessible across the enterprise?
Do you have a governance model that supports AI deployment at scale?
Can you articulate the value of your data investments in terms of business outcomes?
Are your teams empowered to use AI responsibly and effectively?
Is your data infrastructure flexible and scalable enough to support future innovation?

If the answer to any of these is “not yet,” you’re not alone—and you’re not stuck.

KPMG’s data modernization solutions are designed to meet CDOs where they are—and take them where they need to go. Our approach includes:

Modern data architecture optimized for AI, including platforms like Data Fabric and Databricks
Secure GenAI environments tailored to your internal data and business needs
Governance frameworks that ensure trust, compliance, and scalability
Custom AI solutions built for your industry and functional use cases
Change management strategies to drive adoption and workforce enablement

Whether you’re integrating a new business, scaling AI across departments, or just trying to get your data house in order, KPMG can help you modernize with confidence.

Modernization isn’t just about technology—it’s about unlocking enterprise value. With the right partner, CDOs can turn complexity into clarity, and ambition into action.

Let’s talk about how your data strategy can deliver real business impact.

Data Modernization by KPMG Lets start a conversation about getting there

Service

Harness the power of data to modernize operations

By harnessing data, your business can produce data products, tools, systems, and applications that drive business decision-making and help modernize operations.

Build data products that rely on agile management systems, elevated data quality, and solid operational foundations. We’ll help you establish federated data ownership practices and data models optimized for specific domains and lines of business.

Anticipate and adapt to the wide-ranging impacts AI can have on your data and organization, including budgets and data controls, secure data practices, and cloud-native architectures.

Harness the power of data ethically and responsibly with trusted data principles and governance models for managing risk.

Create a consumer lifecycle approach that incorporates self-service models, AI assistants and agents, and builds a foundation for enterprise insights.

Operate and manage your data infrastructure with integrated frameworks that support access to a broad range of data sources and make analytics faster with less friction.