Data Modernization Services

The importance of data modernization 

Data modernization transforms legacy systems into agile, cloud-based platforms that facilitate real-time insights and innovation. It has the power to transform an organization's data infrastructure, boosting efficiency and insights while it enhances cost-effectiveness, decision-making, data security, and compliance and enables scalability. With access to advanced analytics and big data tools, businesses can uncover insights that drive innovation, product development, and customer engagement, helping them maintain a competitive edge in a rapidly evolving market.

According to Gartner, more than 50% of enterprises will use industry cloud platforms for business initiatives by 2028, underscoring the shift toward cloud-based solutions for data modernization. This trend emphasizes the necessity for organizations to embrace modern, scalable solutions to remain competitive and future-proof their operations.

Becoming an artificial intelligence (AI)-ready and data-driven organization requires modernizing data platforms and unlocking the power hidden in legacy data; and data modernization is much more powerful than just a technical upgrade - it’s a strategic imperative that fuels AI innovation.

Obstacles to modernization

Unlocking AI potential with EY and Snowflake

EY teams help modernize your data infrastructure, unlocking AI potential and overcoming legacy system limitations by leveraging Snowflake’s scalable AI-Data Cloud. We understand the challenges of entangled or fragmented data, risky and hard-to-migrate critical code, unclear business value, competing priorities with limited resources, and hidden dependencies.

EY teams tackle these modernization challenges by looking at them from both a business and technology lens, including considerations around impacts to operations, data security, and other business drivers. This approach includes both the technical and business side, and is critical to break the modernization journey into digestible milestones, each designed to help optimize the delivery of exponential value. By properly updating systems, tools and processes, businesses can enhance decision-making, improve data accessibility and scale efficiently, positioning themselves at the forefront of the data-driven era.

Unfortunately, many companies treat data modernizations as a simple lift-and-shirt migration exercise, leading to redundancy and high costs. EY helps you understand that migration to modern data platforms, like the Snowflake AI Data cloud, is just one of the critical components in your modernization journey.

To support migrations, we use intelligent automated code conversion tools and schema and logic rationalization and automation tools for data asessment, migration and processing. EY and Snowflake teams help your business accelerate the movement of monolithic workloads from legacy data platforms to cost-effective scalable modern systems, where your data will be AI-ready and fit for the demands of present and future data architectures. 

Looking more closely, EY teams leverage AI-powered accelerators, modern large language models (LLMs) and finetuned retrieval-augmented generation (RAG) techniques designed to streamline the conversion process of legacy systems to Snowflake. This can help you: save cost, enrich customer experience, improve real time decision-making, increase productivity, enhance data quality and strengthen data security and compliance.

In addition to the technology transformation, EY supports your organization’s data modernization journey with proven change management and privacy and risk management methodologies, helping you put the right controls in place and accelerating time to business value.

Case study: Enhancing data management for a client through Snowflake migration