Your SAP system is the backbone of your business, managing critical processes and housing invaluable data. But in today's rapidly evolving digital landscape, a traditional SAP environment can become a bottleneck, hindering agility, innovation, and growth. Are you facing challenges with:

1. Data Silos

Information trapped in different SAP modules and legacy systems, making it difficult to get a holistic view of your business.

2. Slow Reporting and Analytics

Lengthy ETL processes and outdated data warehouses limiting your ability to make timely, data-driven decisions?

3. High Costs and Complexity

Maintaining on-premise infrastructure and managing complex integrations, driving up IT expenses?

4. Limited Scalability

Difficulty scaling your data infrastructure to meet growing business demands and handle new data sources (e.g., IoT, social media)?

5. Lack of Advanced Analytics Capabilities

If these challenges resonate, it's time to modernise your SAP data landscape. The good news is that you don't have to rip and replace your existing investment. You can extend and enhance it with a modern, cloud-native data platform, built on the powerful combination of SAP and Databricks.

If these challenges resonate, it's time to modernise your SAP data landscape. The good news is that you don't have to rip and replace your existing investment. You can extend and enhance it with a modern, cloud-native data platform, built on the powerful combination of SAP and Databricks.

The Vision: A Unified, Cloud-Native Data Platform

Imagine a future where your SAP data seamlessly integrates with other enterprise data sources, is readily accessible for real-time analytics, and powers advanced AI-driven insights. This vision is achievable with a modern data platform that leverages the strengths of both SAP (your core operational system) and Databricks (a unified data analytics platform).
This platform isn't just about moving data to the cloud; it's about creating a flexible, scalable, and governed environment that supports:

• Data Liberation: Breaking down data silos and making SAP data accessible to a wider range of users and applications.
• Real-time Insights: Enabling near real-time analytics on operational data, allowing you to react quickly to changing conditions.
• Advanced Analytics and AI: Applying machine learning and AI to SAP data to uncover hidden patterns, predict future outcomes, and optimise business processes.
• Simplified Data Governance: Maintaining data quality, security, and compliance across your entire data landscape.
• Hybrid Cloud Flexibility: Balancing on-premise requirements with the scalability and innovation of the cloud (leveraging SAP BTP and Databricks).
• Incremental Business Outcomes: Achieving business outcomes and tracking the realisation of business values.

A Step-by-Step Guide to Modernisation

At VE3, we've developed a proven methodology to guide organisations through this transformation journey. Here's a step-by-step approach:

Phase 1: Assessment and Planning

Our solution is designed to deliver rapid time-to-value across a range of critical manufacturing scenarios:

1. Current State Assessment

We begin by thoroughly understanding your existing SAP landscape, data sources, integration points, and business requirements. This includes identifying pain points, bottlenecks, and opportunities for improvement.

2. Define Business Outcomes & Use Cases

We work with you to identify the key business outcomes you want to achieve (e.g., improved supply chain efficiency, reduced operational costs, enhanced customer experience). We then prioritize the most impactful use cases that will deliver those outcomes.

3. Architecture Design

We design a target architecture that integrates SAP (including BTP) with Databricks, leveraging best practices for data integration, data governance, and security. This architecture will be tailored to your specific needs and cloud strategy (e.g., AWS, Azure, GCP).

4. Roadmap and Implementation Plan

We create a detailed roadmap and implementation plan, outlining the steps, timelines, and resources required for the modernisation project. This plan will prioritise quick wins and phased implementation to minimise disruption.

Phase 2: Foundation Building

1. Databricks Environment Setup

We set up and configure your Databricks environment on your chosen cloud provider, ensuring optimal performance, security, and scalability.

2. SAP Connectivity

We establish secure and reliable connections between your SAP systems (ECC, S/4HANA, BW, etc.) and Databricks. This may involve leveraging SAP Data Services, SAP Cloud Platform Integration, OData services, or other appropriate integration methods.

3. Data Lakehouse Implementation

We build a Delta Lake-based data lakehouse on Databricks, providing a central repository for all your data (structured, semi-structured, and unstructured). Delta Lake ensures data quality, reliability, and ACID compliance.

4. Data Governance Framework

We implement a robust data governance framework, including data cataloguing, data lineage tracking, access controls, and data quality rules.

Phase 3: Use Case Implementation and Value Realisation

1. Data Engineering and Transformation

We build data pipelines to extract, transform, and load data from SAP and other sources into the Databricks Lakehouse. This includes cleansing, enriching, and preparing the data for analytics and AI.

2. Analytics and ML Development

We develop and deploy analytics dashboards, reports, and machine learning models to address your prioritised use cases. This may involve leveraging Databricks' built-in tools (e.g., Databricks SQL, MLflow) or integrating with other BI and AI platforms.

3. Deployment and Operationalisation

We help to productionize and monitor the data pipelines and ensure that data platform and applications/models continue to deliver the business value.

4. Business Outcome Tracking

Measure the business outcomes and track the realisation of value based on the defined metrics.

Phase 4: Continuous Improvement and Expansion

1. Monitoring and Optimisation

We continuously monitor the performance and cost of your data platform, identifying opportunities for optimisation and improvement.

2. Expansion and New Use Cases

We work with you to identify and implement new use cases, leveraging the flexibility and scalability of the Databricks platform.

3. Training and Enablement

We provide training and support to your team, empowering them to manage and extend the data platform independently.

The VE3 Advantage: Your Strategic Partner

• SAP Expertise: We have a deep understanding of SAP systems, data models, and integration best practices.
• Databricks Expertise: We are certified Databricks partners with extensive experience in data engineering, machine learning, and platform implementation.
• Cloud Expertise: We have expertise in all major cloud platforms (AWS, Azure, GCP) and can help you design and deploy a cloud-native data architecture.
• Industry Knowledge: We have experience working with clients across various industries, allowing us to tailor our solutions to your specific business needs.
• Business Outcome Driven approach: We have proven approach and experience to help customer to define, measure and realise the business outcomes.

Take the First Step Towards a Future-Proof SAP Data Landscape

Don't let your SAP investment become a legacy system. Embrace the power of a modern, cloud-native data platform with Databricks and VE3.

VE3 DataWise transforms your SAP data into a strategic advantage. To know more, explore our innovative digital solutions or contact us directly.