Transform Your Business with a Modern Data Foundation for Growth

In today’s fast-paced business landscape, data is the lifeblood of innovation and growth. We live in an increasingly cloud-based and data-driven economy. To stay competitive, businesses need to modernize their data foundations, particularly their ERP systems.

According to IDC, 85% of IT decision-makers plan to increase their cloud investments to enable real-time, contextualized decision-making and manage customer engagement, financial, and operational processes. McKinsey found that companies with high cloud maturity exhibit higher returns, especially when leveraging ERP systems. Clearly, modernizing your data foundation is essential for driving innovation and growth.

Why Modernizing is Important

A recent McKinsey report highlights that companies unable to provide ready access to their data will struggle to fine-tune generative AI and unlock its transformative potential. To leverage generative AI effectively, you need a clean data foundation and a clear infrastructure strategy.

Why Does Data Matter so Much?

Large Language Models (LLMs) and generative AI are widely available, but these models build on generic consensus data. To create unique generative AI applications for your business, your organization’s data is the differentiator. While some companies may train their own large models, many will fine-tune foundation models with their data or add context to prompts through Retrieval Augmented Generation (RAG).

Characteristics of a Modern Data Foundation

Modern data foundations are purpose-built and fully managed. They handle data at any scale, providing seamless data movement and governance. At the core of a modern data strategy is a data ecosystem optimized for both performance and cost-effectiveness.

Specialized Databases

Cloud-based, fit-for-purpose databases allow companies to move away from monolithic, relational databases. Specialized databases are optimized for specific workloads. For example, key-value pair databases suit high-velocity, low-latency transactional applications, while columnar databases like Redshift are ideal for high-performance querying of large historical data volumes.

Scalable Data Lakes

A scalable data lake component is crucial for ingesting and storing high volumes of structured, unstructured, and semi-structured data. Cloud-based data lakes allow organizations to scale, capture, and store any amount of data at low cost and in open standard formats.

Seamless Data Integration

With data stored in performance-optimized services, native integration between data lakes, databases, and machine learning services reduces the need to move and duplicate data. AWS’s Zero-ETL approach facilitates this integration, making it easier than ever to manage data movement.

Data Governance

Effective data governance is essential. A modern analytics ecosystem includes a catalog of business and technical metadata, contracts supporting governance automation, and ML-based security tools to identify sensitive data. Automated governance can streamline data access approval processes and track data usage across services.

Get Started with a Migration Acceleration Program (MAP)

The MAP program combines methodologies, tools, investments, and training to set clear business goals, develop cloud skills, and demonstrate leadership in cloud adoption. It helps address the challenges of cloud migration, including:

• Deconstructing the on-premises technical environment
• Understanding the performance and relationships of migrating applications
• Analyzing current operational processes and policies
• Addressing security policies, tribal knowledge, and culture issues
• Navigating regulatory requirements

Modernizing on AWS

If you currently run Oracle E-Business Suite (EBS)and are considering modernization, AWS offers numerous options. Hosting Oracle EBS on AWS is an excellent choice, supported by Amazon’s own migration of Oracle workloads to AWS and running their ERPs on AWS.

By modernizing on AWS, organizations can achieve unprecedented agility and resilience while significantly reducing operational costs. AWS’s extensive suite of services and robust infrastructure supports rapid scalability, allowing businesses to quickly adapt to changing market conditions and customer needs. Additionally, leveraging AWS’s advanced analytics, machine learning, and AI capabilities enables more informed decision-making and fosters innovation across all aspects of the business. The seamless integration and enhanced security features provided by AWS ensure that data remains protected and compliant with industry standards, giving businesses the confidence to focus on growth and transformation.

Choosing the Right Partner

Many organizations have migrated their Oracle Applications to AWS successfully, but AWS’ extensive portfolio of services requires expertise to implement. You want to work with a partner that understands the full range of complexity when undertaking the planning, migrating, implementing, integrating, adopting, and managing multiple business apps in the Cloud. Apps Associates creates scalable client-centric solutions that translate into immediate business impact for you

Apps Associates, a certified Oracle partner, specializes in large-scale data migrations. We guide you through discovery, implementation, and managed services for ongoing innovation and growth.

Final Thoughts

Modernizing your data foundation is crucial for driving innovation and growth in today’s data-driven economy. By leveraging advanced cloud solutions and expert partners, you can optimize your data management, streamline operations, and unlock new opportunities for your business.

Ready to transform your data foundation? Sign up for a consultation with our experts today and take the first step toward a more innovative future.