Business-driven data platform modernization

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A data platform is a cohesive collection of technologies built to support an organization’s complete data needs. It enables the acquisition, storage, preparation, and delivery of data, ensures proper governance, and includes a security layer for both users and applications. Many organizations are undergoing digital transformation programs to evolve into modern, digital, and data-driven enterprises. To achieve this, you need a secure, governed, yet agile data platform that supports your changing business needs.

The challenge is that, when modernizing your data platform, there are many critical factors at play — such as technology, data, architecture, cost, security, and governance. If not managed properly, these factors can overwhelm the project, becoming goals in themselves while the real purpose is forgotten.

None of these challenges can be ignored, but the overarching purpose of the data platform— to enable relevant business innovation and transformation — must remain the guiding beacon. To support this, you need a data modernization program driven by a transformation office with business accountability. This office drives business value while simultaneously shifting the organizational culture to treat data as an asset and an enabler of innovation and growth.

All other critical factors are structured as tracks under the transformation office, each with its own critical path and interdependencies. Access to resources is always guided and prioritized through the transformation office.

Mads Galatius

Director, Advisory

KPMG in Denmark

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In a typical data modernization program, our experience shows that you need to have a balanced focus on the following six success factors. These are all areas that we support organizations with:

Data initiatives should be aligned with strategic business goals in order to unlock measurable value, ensuring that data is treated as a strategic asset across the organization.

Organizations must establish strong foundations for data quality, governance, and integration across the enterprise, enabling trusted and consistent data across systems and domains.

A scalable, modular architecture should be adopted to separate storage, processing, and consumption layers, supporting real-time capabilities, advanced analytics, and AI use cases.

Clear ownership, policies, and data standards must be implemented, while fostering data literacy to empower users and ensure responsible data usage.

Proven methods and accelerators tailored to the client’s industry should be applied to ensure the scalable and efficient delivery of data solutions that meet sector-specific needs.

Executive sponsorship must be secured, and stakeholders engaged throughout the change journey, with new ways of working embedded to drive lasting organizational transformation.

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Our approach

IDC has rated KPMG as a leader in the category of Data Modernization Services. In their assessment, they highlight our delivery model, client adoption, and employee skills and retention as key strengths.

IDC also emphasizes that KPMG has developed and refined its data modernization services based on the agile KPMG Data Management Framework, where the dimensions listed below are balanced in a cohesive program — always with the business in the driver’s seat. The key focus is on delivering value, not just addressing business requirements:

Business value – enabled by KPMG Elevate
People, culture & organization – enabled by KPMG’s Behavioral Change Management approach
Processes, data governance, and master data management
Technology & platform

Our clients value our ability to address their unique needs around data modernization through three essential elements, ensuring that each program begins with a solid foundation built on best practices, proven use cases, and innovation:

Industry expertise – enabled by KPMG Connected Enterprise
Process and business function expertise – enabled by KPMG Powered Enterprise
Employee capabilities and experience – enabled by the KPMG Global Lighthouse concept

Technology and platform selection is also a critical component of any data platform modernization program. Our discovery process ensures that the chosen platform meets client-specific criteria, is technologically advanced, scalable, high-performing, metadata-rich, AI-enabled, and fully aligned with the client's IT strategy and guidelines.

Following program initiation and development, a key success factor is our ability to integrate our team with the client’s internal team. This integration ensures effective knowledge transfer and long-term ownership across both business and IT teams.

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