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SAP Business Data Cloud (SAP BDC)

Connect, govern, and activate business data with SAP Business Data Cloud — implemented by experts who understand the full potential of SAP.

Ready for Real Results? Start with These Six Advantages

With SAP Business Data Cloud implemented by LeverX, you're not just getting a cutting-edge data platform — you're gaining a strategic partner who understands the full SAP landscape and helps to drive Data & AI strategy within your organization. We are here to help you turn these powerful capabilities into real business outcomes, and here are just some of the advantages to unleash:

Unified data foundation

Break down data silos by seamlessly integrating valuable data from SAP systems (like S/4HANA, ECC, BW/4HANA, SuccessFactors) with diverse non-SAP datasets (IoT, clickstream, non-SAP enterprise systems and solutions, etc.) into Databricks, enabling an enterprise-wide view of your business operations.

Next-gen technology stack

Combines the capabilities of SAP Datasphere, SAP BW, the Databricks Lakehouse, and advanced AI/ML tools to unlock deep analytics, predictive intelligence, and powerful data-driven automation.

Predictive Analytics for Proactive Decision-Making

By combining SAP’s rich structured data with Databricks' advanced ML capabilities, users can create predictive models for applications like demand forecasting, inventory management, and customer behavior analysis. This enables proactive decision-making, allowing businesses to anticipate trends and optimize operations before issues arise.

Out-of-the-box insight apps

Accelerate decision-making with ready-to-use analytical applications and curated data products across business functions, by combining predefined SAP and partner content for setting access to raw data, data modelling, and front-layer representation using SAP Analytics Cloud.

AI-ready by design

Built with AI in mind, the solution enables grounding and setting the right business contexts for generative AI assistants like SAP Joule to analyze, visualize, and explain data on demand.

Optimized Machine Learning Framework

Develop, train, and deploy ML models faster and more reliably on Databricks. Benefit from automatic MLflow tracking for reproducibility, the Unity Catalog-governed Model Registry for lifecycle management, and simplified deployment via Model Serving or batch jobs for production AI.

Federated data access with zero duplication

Delta Sharing and federated queries allow accessing live data across sources, without the cost, risk, or complexity of duplication and replication.

Enhanced Governance, Discovery, and Trust with an Intelligent Data Catalog

Leverage Unity Catalog, Databricks' unified and intelligent data catalog, to govern all data and AI assets, including ingested SAP data, in one place.

Expert-backed implementation

As a SAP partner with 20 years of experience in implementing SAP solutions and more than 15 years in Business Intelligence, we help you go beyond deployment, ensuring effective integration with your existing systems and adapting every component to your business goals.
Unlock the power of SAP Business Data Cloud — with expert support from a certified SAP and Databricks partner.

Frank Lozinski

Account Manager

Powerful Capabilities of SAP BDC, Built for Real Business Impact

SAP Business Data Cloud is a foundation for actionable intelligence, accelerated planning, and scalable AI. Below are some of the key features that help organizations unlock value across every function, from day one.
Insight Apps
Unified data platform
AI with context

Insight Apps

Deliver enterprise-wide insights with ready-to-use analytics.

Insight Apps are ready-to-use, SAP-delivered solutions that help you turn data into action faster. Built on SAP Datasphere and SAP Analytics Cloud, they offer instant access to powerful analytics tailored to real business needs, without the hassle of complex setup. Whether you're tracking performance, identifying trends, or making strategic decisions, Insight Apps give you a head start.

Each app includes:

  • Curated data – Preselected and refined from trusted sources to focus on what matters most
  • Business-ready models – Structured to reflect the way your business actually works
  • Interactive dashboards – Easy-to-use visual stories that bring your data to life
leverx
Make SAP Business Data Cloud work for you with LeverX

Industries We Serve

Leveraging our experience with SAP together with diverse industrial expertise, we’ll help you select solutions that will drive meaningful, long-term value for your company.

Why LeverX?

Proven track record

For over 20 years, we have helped businesses worldwide succeed with SAP. We’ve already completed 950+ projects for over 800 clients, including top names on the Fortune 500 list.

Industry experts

The LeverX team comprises professionals with hands-on knowledge in 30+ industries, including manufacturing, logistics, and oil 
and gas.

SAP partnership

We implement SAP projects end-to-end 
and collaborate with SAP on the development and enhancement of its existing solutions.

Quality and security

LeverX operates in compliance with international standards such as ISO 9001, ISO 27001, ISO 22301, and ISO 55001, ensuring reliability and quality in every project.

Investment in innovation

We actively integrate advanced technologies, such as Data Science, IoT, AI, Big Data, Blockchain, and others, to help clients efficiently address their business challenges.

Flexibility

Our team is available 24/7, which enables us to quickly deploy projects, maintain process transparency, and adapt each development phase to meet your specific requirements.

Implementation Roadmap

We follow a structured, value-focused approach to implementing SAP Business Data Cloud (SAP BDC), adapted to your company’s data strategy and analytical goals. The process includes five key stages:

Learn (Assessment & Foundation)

  • Enable business and engineering teams on SAP BDC capabilities, value proposition, roadmap, and potential impact — supported by industry-specific demos.
  • Assess current data sources, analytical landscape, reporting processes, and the maturity of data governance.
  • Define key business use cases, establish a high-level solution vision, and outline a targeted SAP BDC strategy for the company.
  • Identify core challenges, business goals, and requirements related to data foundation, migration, reporting, and analytics implementation.

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Plan (Discovery & Design)

  • Conduct workshops and dedicated calls to gather detailed requirements and design core data models and integration strategies within SAP Datasphere.
  • Design user-facing analytics in SAP Analytics Cloud (SAC), considering the potential of machine learning and Insight Apps, and define secure roles and access.
  • Create solution wireframes, mockups, and functional specifications for business user validation and sign-off.
  • Finalize a comprehensive project plan, including scope, resources, risk management, and timelines.

2

Build (Prototyping & Implementation)

  • Configure the analytical pipeline, which may include SAP Datasphere spaces, models, and views, as well as SAP Analytics Cloud stories and applications. Prototype and reuse predefined content where applicable.
  • Develop, test, and implement data integration flows to connect source systems with SAP Datasphere.
  • Implement the defined security model, including access control, role-based authorization, data access rules, and secure system connections.
  • Perform technical unit testing and initial integration checks of developed components.

3

Test & Launch (Pilot & Go-Live)

  • Execute end-to-end integration testing and User Acceptance Testing (UAT).
  • Conduct performance, load, and security validation based on defined performance targets and data load expectations.
  • Deliver role-based user training, prepare supporting materials, and finalize solution documentation.
  • Manage cutover planning and execution for a smooth transition to the pilot phase or full production.

4

Scale (Operate & Enhance)

  • Provide post-go-live support, stabilize the solution, and transition to steady-state operations.
  • Continuously monitor the SAP BDC solution, including data loads, system performance, and user activity.
  • Support internal teams through structured knowledge transfer, process documentation, and skill development.
  • Maintain data governance practices, prioritize continuous improvement initiatives, and scale the solution across various business units and departments.

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