SAP Business Data Cloud (BDC) and Reply form the ideal team for Cybex's e-commerce advanced analytics needs, bringing together cutting-edge technology and implementation expertise.
Our offer addresses key challenges including large data volumes, complex ETL/ELT pipelines, advanced analytics functionalities, ML/AI integration, unstructured data storage, and efficient collaboration between IT and business.
Drawing on our long-standing SAP partnership, we provide the appropriate resources, skills, and experience to deliver a successful implementation tailored to Cybex's specific requirements.
We are committed to supporting Cybex in the transition and modernization of its Enterprise Analytics Landscape, establishing a centralized data repository that enables more sophisticated insights and decision-making capabilities.
Dear All,
We are pleased to present our service offer to support you in the area of e-com Advanced Analytics as part of the transition and modernization of the Cybex Enterprise Analytics Landscape.
Cybex wants to establish a Data & Analytics platform as a centralized data repository. We are happy to introduce SAP Business Data Cloud (BDC) together with our project expertise and experience to address the following challenges:
- Large data volumes
- ETL and ELT pipelines that support customer-specific processes, especially in error situations
- Providing advanced analytics functionalities with a state-of-the-art frontend
- Use of ML and other AI components
- Storage of unstructured data
- Efficient collaboration between IT and business (data governance and self-service) and data scientists
We are confident that this offer will convince you and that it is equipped with the appropriate resources, skills and experience to assist you in this project as we are able to combine expertise from our long-time SAP partnerships.
We trust that this offer will meet your expectations. In the meantime, we remain at your disposal to discuss further and provide you with additional information on any aspect thereof.
Our methodology for implementing the e-commerce analytics solution, including strategic building blocks, workstreams, and risk management.
Detailed explanation of the four key components: Business/Sales Reports, Data Lakehouse, Integration, and GPT-Powered Q&A Interface.
Project schedule with key milestones and phases from preparation to hypercare.
Profiles of our expert consultants who will be assigned to this project.
Case studies from similar implementations we've successfully completed.
Transparent pricing structure and effort estimation for the complete implementation.
Overview of Reply's expertise, growth, and global presence.
Details of key personnel you can reach out to with questions about this proposal.
Our project approach for implementing Cybex's e-commerce advanced analytics platform is built on four strategic building blocks, delivered through three dedicated workstreams, and managed according to proven project management methodologies. The following sections detail our comprehensive plan for a successful implementation.
Information needs for Business and Sales Reports are collected and implemented as SAC-Stories including Anomaly Detection and NLP Interface.
Data storage is setup based on collected information requirements split in Bronze/Silver/Gold layers. ETL-Pipelines are implemented for data integration.
Integration is set up for various sources systems e.g. S4. Important: we would consider a migration (not a connection) of BW4 to BDC.
Q&A Interface is delivered as Data App using the SAP Generative AI Hub.
These four building blocks form the foundation of our implementation strategy, each addressing a critical aspect of Cybex's e-commerce analytics needs. They are designed to work together as an integrated solution while allowing for focused development and implementation of each component.
- Gather business requirements for Sales/Business Reports
- Implementation of SAC Reporting including:
- Anomaly Detection
- NLP (Just Ask)
- Business Test & Approval
- Basic configuration of BDC
- Setup Integration & Connections
- Implementation of data storage & management in SAP Datasphere
- Test concept
- Authorization concept
- Business Test & Approval
- Configure BTP for SAP AI Core and AI Launchpad
- Grounding
- Development of RAG AI Application with SAP Generative Hub
- Go Live
The three workstreams operate in parallel throughout the project lifecycle, with interdependencies managed through regular cross-team coordination. This approach enables efficient resource allocation while ensuring that the integrated solution meets all of Cybex's requirements.
- Kick-Off-Workshop
- Project organisation
- Project infrastructure
- Scheduling
- Setup of documentation
Waterfall
- Requirements workshop ("Show & Tell") and establishment of the project backlog
- Definition of acceptance criteria, test concept and specification of developments
- Prioritization, confirmation, and planning of the release backlog at the end of the phase
- Refinement of the estimation
Waterfall
Implementation of the release backlog in individual sprints (2-3 weeks)
Presentation of the sprint results after each sprint in reviews
Testing of the results in the following sprint by key users
Sprint 1 → ... → Sprint n+1
Agile
- Quality Assurance: User Acceptance Test, Integration Test, and Bug Fixing
- Change Management: Key User Training ('Train the Trainer') and End-User Training
- Cutover: Migration, Deployment, Acceptance
- AMS
Our hybrid approach combines the structure of a waterfall methodology in the early phases with the flexibility of agile development during implementation. This ensures proper planning and requirements gathering while allowing for adaptability as the project progresses.
Cybex target architecture covered by SAP Business Data Cloud
- The Cybex Target Architecture will be covered by SAP Business Data Cloud including its core components:
- SAP Analytics Cloud for Reporting
- SAP Datasphere for central data storage as core component of the business data fabric
- SAP Databricks for handling unstructured data
- Relevant sources will be integrated using the native SAP Datasphere connectors and extracted data will be stored in an integrated data storage including automated data management and ETL Pipelines in SAP Datasphere
- Building Block "GPT-Powered Q&A Interface" will be implemented as a customized AI RAG application using the SAP Generative AI Hub (Details on Building Block Slide)
The architecture aligns perfectly with Cybex's goal of establishing a centralized data repository that can handle both structured and unstructured data while providing advanced analytics capabilities.
As part of the Exploration Phase, various workshops with business are conducted to gather detailed requirements. These requirements are validated against comparable requirements from previous projects to ensure effectiveness for steering business processes.
An iterative implementation phase allows Key Business Users to approve development and provide direct feedback for later sprints. Weekly meetings with relevant key users are set up during exploration and implementation. Post-implementation, key and end-user trainings are performed with the development team to ensure adoption.
The technical concept is presented and approved by the customer's internal IT prior to the start of implementation, ensuring alignment with development guidelines.
As part of the launch phase, a detailed handover and comprehensive trainings are provided by the development team to the customer's IT. Throughout implementation, weekly coordination meetings discuss relevant technical topics and challenges, preparing the customer for future maintenance and development.
Data storage is based on a layered approach with performance-optimized reporting structures in SAP Datasphere. Reports are built based on proven vendor best practices in design, chart structures, and navigation paths (from aggregated to details) to ensure high performance.
We ensure that the RAG application's knowledge base is complete, relevant, and regularly updated according to the specified scope of the application to prevent hallucination.
Proactive risk management is a critical aspect of our project approach. We've identified the most common risks for enterprise analytics implementations and developed specific mitigation strategies for each, drawing on our experience with similar projects.
Data Platform will be implemented based on Cloud-First approach to assure a scalable and maintainable state-of-the-art environment.
As part of the Exploration-Phase detailed test cases will be defined together with business stakeholders that will be basis for agile implementation and assure that business requirements are understood.
Requirements will be captured as User Stories including detailed business logic and connected to detailed test cases as part of the exploration phase prior to implementation.
Data Lakehouse is implemented based on layered approach to ensure flexibility and extensibility.
Authorization concept is split into data authorization on row-level and functional authorizations maintaining row-level security with single source of truth approach in SAP Datasphere.
The project will be delivered in a hybrid approach (Waterfall + Agile) that allows an agile implementation based on solid conception and scheduling defined in preceding waterfall phases.
If possible and agreed by Cybex the project will be managed and documented using JIRA & Confluence. Documentation will comprise business background and requirements as well as a technical documentation.
Developer/Consultants are not split into Frontend/Backend-skills but instead are full stack developers allowing end-to-end implementation.
Our implementation approach is grounded in industry-proven best practices that have been refined through numerous successful SAP BDC implementations. These practices ensure high quality, efficient delivery, and sustainable results for Cybex.
Our solution is structured around four core building blocks, each addressing a critical aspect of Cybex's e-commerce advanced analytics requirements. These building blocks form a comprehensive platform that enables sophisticated data analysis, visualization, and AI-powered insights.
Sample Sales Report in SAP Analytics Cloud for Cybex
- Dashboard and reports are implemented in SAP Analytics Cloud
- Weekly automated publication of reports via E-mail to defined stakeholders
- Show variances between datapoints and highlight deltas
- Incorporate Filters for focus on relevant data
- Use last modified date for version clarity
- Flexible OLAP-Analysis with the inbuild Data Analyzer
The Sales Reports building block delivers comprehensive analytics capabilities through SAP Analytics Cloud. These reports are designed to provide Cybex's business users with immediate insights into sales performance across various dimensions, with customizable views and automated distribution to key stakeholders. The intuitive interface makes it easy to drill down into specific areas of interest while maintaining consistency in presentation and calculations.
Data Change Insight Activation and sample outcome
- Automated Anomaly Detection Alerts with Data Change Insights
- Detection of unusual patterns in data with automatic notifications or highlights
- Pointing out of sudden shifts or trends and summarizing what has changed since last check
- Updates without manually scanning the entire dataset
- Anomaly Detection is implemented in SAC
The Anomaly Detection feature leverages AI capabilities within SAP Analytics Cloud to automatically identify unusual patterns or significant changes in Cybex's e-commerce data. This proactive monitoring system helps business users quickly spot potential issues or opportunities without having to manually analyze large datasets, enabling faster response to market changes or operational problems.
SAP Just Ask interface with result chart
- Users can perform data queries or tasks directly via chat in natural language (no coding needed)
- Just Ask is built into SAP Analytics Cloud and can be used directly through chat in Browser
- Resulting charts can be reused in Dashboards and Reports
- Query results can be displayed with various formatting options
"Just Ask transforms how business users interact with data, making analytics accessible to everyone regardless of their technical expertise."
The Natural Language Processing capabilities of SAP Analytics Cloud's "Just Ask" feature democratize data analysis within Cybex by allowing any business user to ask questions in plain language. This reduces the reliance on data specialists for ad-hoc analysis and empowers users to explore data on their own terms, significantly increasing the adoption and value of the analytics platform.
After setting up all connections, we build up the bronze layer of the architecture using data flows, replication flows (for persistent storage) and remote tables (for virtual storage) depending on the connection and data type.
This layer, that we call "Acquisition Layer" then stores raw structured data from all source systems, enabling further development of data models.
Data Flow connecting to an AWS data source
Layer Architecture in SAP Datasphere
The Bronze layer forms the foundation of our Data Lakehouse architecture, serving as the initial landing zone for all data from Cybex's various source systems. This approach preserves the original data in its raw form, providing a single source of truth while enabling subsequent transformations and enrichments in higher layers. The architecture is designed to handle the large data volumes anticipated in Cybex's e-commerce environment.
Using graphical views, SQL views and data flows which support Python scripts, we transform and harmonize the raw data while also adding business semantics to model master and transaction data.
The silver layer shall be split into a "Harmonization Layer" which divided data by source and "Propagation Layer" which divides data by application and prepares them to be used as foundation for analytical models.
Data Flow with a script transformation in SAP Datasphere
Scripting environment within a data flow in SAP Datasphere
The Silver layer is where raw data begins its transformation into business-ready information. Through a combination of graphical tools and Python scripting, we apply business rules, standardize formats, and implement quality checks to ensure consistency. This layer bridges the gap between raw data storage and analytics-ready datasets, enabling more sophisticated analysis in the Gold layer.
Finally, the data will be elevated to analytical models which enrich transactional data with associated master data to be used in reporting and AI applications.
These models are optimized for performance and usability, making them ideal for dashboard consumption and advanced analytics applications.
The Gold layer represents business-ready data that has been fully validated, transformed, and enriched with the necessary context for meaningful analysis.
Analytical Model in SAP Datasphere
The Gold layer delivers analytics-ready data models that combine transactional and master data in ways that directly address Cybex's business questions and use cases. These models are designed with both performance and usability in mind, making them ideal for consumption by reporting tools and AI applications. The layer structure also supports governance by providing clear lineage from source data to final analytics models.
Unstructured Data will be processes using Pipelines and Notebooks in SAP Databricks which allow for the creation of Data Products which will then be used in SAP Datasphere as foundation for new models.
This approach enables Cybex to incorporate valuable insights from unstructured data sources such as:
- Customer reviews and feedback
- Social media posts
- Product descriptions
- Support tickets
- Website clickstream data
Example of an SAP Databricks Notebook for publishing a Data Product
The ability to process and analyze unstructured data is a critical differentiator for Cybex's analytics platform. By leveraging SAP Databricks, we can apply sophisticated techniques like natural language processing to extract meaningful insights from text-based data and integrate them with structured data in SAP Datasphere, providing a truly comprehensive view of the business.
For structured data:
Leveraging the various Salesforce APIs, we can use the native generic OData connector in SAP Datasphere
For unstructured data:
Still using the Salesforce API, we can use the Jobs and Pipelines app in SAP Databricks to ingest the unstructured data
Jobs and Pipeline App for Databricks ETL
Salesforce integration is critical for Cybex's e-commerce analytics, as it brings in valuable customer data and marketing performance metrics. Our approach leverages SAP's native connectors for structured data while utilizing Databricks for the more complex unstructured data, ensuring comprehensive coverage of all Salesforce data assets.
The native S/4HANA connector is easy to set up and support real-time data replication
The native BW/4HANA connector can be used to replicate master data in BW/4HANA that has been managed inside BW before.
As SAP Datasphere will ultimately replace SAP BW/4HANA as a data warehouse, we propose a greenfield approach, that is connecting the source systems of SAP BW/4HANA to SAP Datasphere directly and model master and transaction data in the new environment.
For SAP source systems, we recommend a forward-looking approach that positions SAP Datasphere as the strategic data platform. Rather than simply connecting to BW/4HANA, we propose migrating to a more modern architecture that directly connects to original source systems. This approach reduces redundancy, improves data freshness, and provides a cleaner path forward for Cybex's analytics environment.
- The SharePoint API shall be leveraged using the native generic OData connector in SAP Datasphere
- Adyen API and other SFTP will integrated using the generic SFTP connector in SAP Datasphere
Configuration Screen for Generic OData Connection
Configuration Screen for Generic SFTP Connection
Beyond the core SAP and Salesforce systems, our solution incorporates additional data sources that are essential to Cybex's e-commerce operations. Payment data from Adyen, document management content from SharePoint, and various file-based data sources via SFTP are all seamlessly integrated into the centralized data platform, providing a comprehensive view of the business.
Self-Serve GPT Powered Q&A Interface delivered as a Data App using SAP's GenAI Hub provides flexible access to a variety of LLMs from different providers.
Key features include:
- Natural language queries against Cybex's e-commerce data
- Contextual understanding of business terminology
- Explanation of results in plain language
- Ability to generate visualizations from text prompts
- Integration with the data governance framework
Simplified Sample Workflow for RAG Method (Retrieval Augmented Generation)
The GPT-Powered Q&A Interface represents the cutting edge of business intelligence, allowing Cybex users to interact with their data through conversational prompts. By implementing Retrieval Augmented Generation (RAG), we ensure that the AI responses are grounded in actual Cybex data rather than generic knowledge, providing accurate, contextually relevant insights in natural language.
AI Foundation on SAP BTP and Gen AI Hub, including:
- SAP AI Core
- SAP AI Launchpad
- Orchestration capabilities for creating AI workflows by combining various modules
- Integration with SAP HANA Cloud's vector database capabilities
- Secure access management
- Performance monitoring
Example: SAP HANA Cloud Multi-Model engines in RAG
The technical architecture of our AI solution leverages SAP's comprehensive AI platform to deliver a secure, enterprise-grade experience. By utilizing SAP's Business Technology Platform (BTP) and the Generative AI Hub, we ensure that the solution meets Cybex's requirements for security, scalability, and integration with existing systems, while providing flexibility for future AI enhancements.
Our implementation timeline is structured to deliver value incrementally while ensuring a comprehensive rollout of all components. The following section outlines the key phases and milestones in our project plan.
Initial requirements gathering and proposal development
Project kickoff, organization, infrastructure setup
Requirements workshops, backlog creation, test concept
Sprint 1 → ... → Sprint n+1
Implementation of release backlog in sprints
Testing, training, deployment
30.09.2025
Post-launch support
IMPLEMENTATION
14.11.2025
TESTING
28.11.2025
GO LIVE
10.12.2025
The project timeline is structured to provide regular checkpoints and deliverables, with a target go-live date of December 10, 2025. The hybrid approach combines thorough preparation and exploration phases with agile implementation sprints, ensuring that the solution meets Cybex's requirements while allowing for adaptation as the project progresses.
Our team for the Cybex e-commerce advanced analytics implementation brings together experts with extensive experience in SAP Business Data Cloud, data engineering, AI development, and project management. Each team member has been carefully selected based on their skills and experience with similar implementations.
Senior Consultant SAP BDC
Contact:
Mobile: +4915119560955
Email: h.vacek@reply.de
- SAP: SAP Business Data Cloud, SAP Analytics Cloud, Embedded SAC, Sales and Service Cloud, Signavio
- Version Control: GitHub, GitLab
- Business Intelligence: Tableau, Amazon Quicksight
- Cloud Engineering: AWS (Athena, S3, Glue, IAM)
- Databases: SQL
- Test Management: X-Ray
- SAP Certified Associate – Business Data Cloud
- SAP Certified Associate – Data Analyst - SAP Analytics Cloud
Automotive, Service, Sales
- Opportunity Reporting in SAP SAC – SAP Consultant: Analysis, design, development, and testing of interactive dashboards and SAC stories; coordination with business for KPI definition
- Migration international Sales-Reporting Tableau to AWS Quicksight: Implementation and testing focusing on business requirements and data quality
- Lead & Opportunity Reporting in SAP SAC: Design of SAC stories and dashboards for lead management
Senior Consultant SAP BDC
Contact:
Email: r.lang@reply.de
- SAP: SAP Business Data Cloud, SAP Datasphere, SAP BW/4HANA, Sales Cloud v2
- Backend Engineering: Python, Spark
- Business Intelligence: Tableau, PowerBI, BDC
- Cloud Engineering: AWS, Terraform
- Data Engineering: Spark (AWS Glue), Tableau Prep, Python, BDC
- DevOps Engineering: Git
- SAP Certified Associate – Business Data Cloud
- SAP Certified Associate – Data Analyst - SAP Analytics Cloud
- Tableau Certified Data Analyst
Automotive Sector, Sales and Logistics
- Planning Solution in SAP Analytics Cloud: Development of BDC planning solution for automatic and hierarchical calculation of KPIs
- SAP Business Data Cloud / SAP Datasphere: Implementing data models and integration of various data sources
- AWS-based backend data pipeline: Development of scalable pipeline using Terraform with Glue, Python, and Athena
Subject Matter Expert - SAP AI Engineer
Contact:
Mobile: +49 1704546307
Email: m.ackermann@reply.de
- SAP AI: SAP CX AI Toolkit; SAP AI Core; SAP AI Launchpad
- Backend Engineering: Python, Spark
- Cloud Engineering: AWS, Terraform
- Data Engineering: Spark (AWS Glue), Python, Angular, SonarQube
- DevOps Engineering: GitLab
- Generative AI Developer 2025-08-07 SAP
- Certified Professional – Developer 2024-03-11 SAP
E-Commerce: Retail, B2B, Industry, Machinery and Components, Automotive
- Lead Business Analyst: Supporting business digitalization from workshops to go-live of integrated PIM system, brand website (B2C), production-driven pre-order tool (B2B), and B2B shop
- Technical Business Analyst: Re-marketing of used vehicles with focus on code quality, stability, and continuous integration
- Architect: Multi-country PIM platform for building materials with complex data model, ERP integration, and workflow management
Project Manager SAP BDC
Contact:
Mobile: +49 1715596836
Email: t.zachrau@reply.de
- SAP Analytics: SAP BDC, SAP Analytics Cloud, SAP Datasphere, SAP BW (all releases)
- Project management: waterfall, agile, SAP methodology
- Publications: "Self-Service BI & Analytics" (dpunkt.Verlag; 2024)
- SAP Certified Associate – Business Data Cloud
- SAP Certified Associate – Data Analyst - SAP Analytics Cloud
Automotive Sector, Financial Services, Defence
- Proven Leadership in SAP Data Projects: Over 25 years of successful SAP project leadership in financial services, automotive, and healthcare
- Expertise in SAP Data & Cloud Integration: In-depth expertise in SAP BW, SAC, and customer data management
- Project Manager - Analytical applications for IT modernization: Development of analytical applications for controlling and integrated planning
- Project Manager – International sales reporting system: Coordination of workshops to define reporting standards with stakeholders
- Project Manager – Partner content for SAC and Datasphere: Development of analytical applications (SPARTA, MOSAIC, OPERA) available on SAP Store
Reply has extensive experience implementing SAP Business Data Cloud and related analytics solutions across various industries. The following case studies highlight our successful implementations in similar contexts, demonstrating our expertise and ability to deliver value for Cybex.
TRATON Group is a subsidiary of Volkswagen that unites MAN, Scania, VW Truck & Bus and International. To support its strategic goals, the created platform is designed to revolutionize TRATON's approach to data management by creating a cutting-edge analytics and collaboration platform. This platform not only integrates diverse data sources but also efficiently distributes data to various applications, enhancing operational efficiency and strategic decision-making.
We introduced a complex space concept in Datasphere to enable a collaborative platform with defined responsibilities for each subsidiary. For example, SAP BCS/4HANA connects to SAP Datasphere, allowing subsidiaries to provide financial data via their Spaces. Integrating Datasphere into Azure Event Grid showcases the advantages combining of two cutting edge technology stacks.
SAP Analytics Cloud | SAP Datasphere | Azure Data Factory
Challenges include designing the platform for data integration, collaboration, and scalability with Data Mesh. Supporting critical operational processes demands higher performance and reliability than analytical applications. Achieving high integration between SAP Datasphere and Azure services is also essential.
Contact person can be named upon request
Since 1911, Klüh is supporting clients in Cleaning, Catering, Clinic Service, Security, Personnel Service, Airport Service or Integrated Services. As part of its digital transformation, Klüh has decided to bring its ERP/CRM system landscape up to the current state of the art. After a long evaluation phase, the decision was finally made in favor of the SAP portfolio. Syskoplan Reply was chosen for the implementation because, in addition to its expertise, it was also a reliable partner.
From the SAP portfolio, Syskoplan Reply has integrated the S/4HANA Cloud (Public Edition), Sales and Service Cloud, Analytics Cloud, Datasphere and Build holistically with the remaining Klüh systems via the Integration Suite. In addition to the actual system introduction, change management methods were also used to implement the changes in the company in the best way.
SAP Analytics Cloud | SAP Datasphere | SAP Build | SAP Sales Cloud
- Area of tension "Project support alongside day-to-day business"
- Focus on the essentials with an eye on the big picture
- Finding ways to integrate old technologies with new cloud infrastructure
- Shaping change in the organization
Contact person can be named upon request
The aim of the project team at the customer is to implement four strategic projects and the resulting requirement to manage dependencies and interactions: - Migration of data from SAP BW 7.5 non HANA to SAP BW/4HANA - Creation of a reporting system based on this - Creation of a data entry screen for HR data in the SAC. - Development of a planning solution. Interfaces to the peripheral systems are created for both reports and data entry.
The basis for the success of the project is an approach that focuses on the central migration to the modern platform. - Migration is prepared by harmonised development guidelines and architecture - Packaging of the content to be migrated reduces complexity - Iterative transfer creates added value for the business - Legacy BW is shut down together for all content packages
SAP Analytics Cloud | SAP Analytics Cloud Planning | SAP BW
By using the live connection, modifications to the database in the SAC are severely restricted, which is why scripting was often used to implement functional requirements. On the one hand, this is a trade-off between functional requirements and technical feasibility. On the other hand, open, binding and goal-orientated communication within the entire project team as well as with the customer contacts is a key success factor.
Contact person can be named upon request
Our cost proposal for the Cybex e-commerce advanced analytics implementation is based on a detailed analysis of the project scope, timeline, and resource requirements. We provide transparent pricing and flexible options to accommodate Cybex's budgetary considerations.
Our rate card reflects competitive market pricing for SAP analytics expertise. The rates include all standard consultant services including project work, documentation, and regular status meetings. Travel expenses, if required, would be charged separately based on actual costs.
For the Cybex implementation, we've assembled a team with the optimal mix of expertise levels to ensure both quality deliverables and cost efficiency. The specific allocation of resources by level is detailed in the effort estimation on the following page.
For the implementation of the described work packages over a period of ten weeks, we estimate a total effort of 98 person-days or €111,800.00. We assume that most of the activities will be carried out remotely, with on-site activities not exceeding 10%. The effort is distributed among the described work packages as follows:
The estimation does not include any license costs for the SAP Software Stack.
We can offer preparation and exploration phase together as a fixed price as indicated in the table above. After the exploration phase the estimation for Realize, Launch and Hypercare is evaluated against the defined backlog together with Cybex. The resulting efforts can then be offered again as a fixed price.
Reply is a leading consulting, systems integration, and digital services company specializing in the design and implementation of solutions based on new communication channels and digital media. Our deep expertise in SAP technologies, particularly in the analytics and business intelligence domains, makes us the ideal partner for Cybex's e-commerce advanced analytics initiative.
At Reply, we're committed to helping our clients navigate the complexities of digital transformation by leveraging cutting-edge technologies and methodologies. Our approach combines deep technical expertise with industry-specific knowledge, enabling us to deliver solutions that drive real business value and competitive advantage.
Reply has demonstrated consistent growth in both revenue and headcount over the past decade, reflecting our success in delivering value to clients and our ability to attract and retain top talent. Our financial stability ensures that we can make long-term commitments to client partnerships and continue investing in the latest technologies and methodologies.
Core technology powering advanced solutions across all service areas
- Digital Humans
- Copilots
- Workplaces
- Robotics
- Autonomous Things
- IoT & Connected Products
- Product Design
- Brand Experience
- Digital Marketing
- Immersive Experiences
- Advanced Analytics
- Industry Specific Platforms
- Application Suites & CX Platforms
- Computing
- Data
- Cybersecurity
- Network
- Business Engineering
- Operational Excellence
- Resilience and Risk
Reply offers a comprehensive portfolio of services designed to help clients navigate their digital transformation journey. Our SAP practice is a key component of our Enterprise Platforms offering, providing clients with expertise in implementing and optimizing SAP solutions for maximum business value.
- SAP Global Application Development Partner
- SAP Value Added Reseller (VAR)
- SAP Certified Provider of Hosting Services
- SAP Certified Provider of SAP HANA Operations
- SAP S/4HANA Cloud Lighthouse Partner
- Strategic Partner for SAP CX and BTP
- Signavio (since 2019)
- SAP Focus Partner for Retail & CP, Energy, SAP BTP and SAP CX
- SAP Business AI Lighthouse Partner
- Extension of the SAP Portfolio at Reply
- Covering 90% of the SAP portfolio with clear focus on cloud solutions and innovation
- Established Globally as Top 20 SAP Partner regarding Competencies and Specializations
- Significant Cloud Transformation Projects
- Including SAP S/4HANA, SAP BTP and Signavio
- Unbeatable Excellence
- 11th year in a row Winner of SAP Quality Award
- Globally Top 3 in SAP CX Delivery 2024
- PAC RADAR: Leading Provider of SAP Services 2024 in Europe
- Innovation Power and R&D
- >10 Apps in the SAP Store
- SAP Industry Cloud Partner for Public & Energy
- SAP Ariba Vertical Extension
- SAP Travel Accelerator
- GenAI Partner Co-Innovation
Our SAP Practice has established itself as a leader in the SAP partner ecosystem, with deep expertise across the SAP portfolio and particularly strong capabilities in SAP Business Data Cloud, which is at the core of our proposed solution for Cybex. Our strategic partnership with SAP ensures that we have early access to new technologies and can provide cutting-edge solutions to our clients.
- Close collaboration with SAP Co-Innovation Lab and strong positioning of Reply as AI Frontrunner
- First time named by Forrester as large global SAP Partner in the SAP Services Landscape (Top 25)
- Established Globally as Top 20 SAP Partner regarding Competencies and Specializations (top rankings in SAP Partner Finder)
- Extension of the SAP Portfolio @ Reply
- Covering 90% of the SAP portfolio with clear focus on cloud solutions and innovation, huge progress in SAP Business AI
- Unbeatable Excellence
- 11th year in a row Winner of SAP Quality Award
- Globally Top 3 in SAP CX Delivery Quality
- PAC RADAR: Leading Partner of SAP Services 2024 in Europe
Our SAP practice continues to receive recognition and accolades for our implementation excellence and innovation. These achievements reflect our commitment to delivering high-quality SAP solutions that drive measurable business value for our clients. For Cybex, this means working with a partner that has demonstrated success in implementing SAP Business Data Cloud and related technologies.
- Strategic positioning (e.g., expansion into new markets and exploration of new business models)
- Identification of the most valuable business use cases (e.g., IRPA options)
- Functional design of the solution (e.g. modeling new processes, designing new functions, etc.)
- Selecting SAP Technology and Architecture Design
- Integration of Architecture and Design
- Implementation of SAP solutions (cloud and/or on-premises)
- Migration of SAP solutions (greenfield/brownfield)
Our SAP professional services cover the entire lifecycle of SAP implementations, from initial business consulting and architecture design to implementation and ongoing support. This comprehensive approach ensures that our clients receive consistent, high-quality service throughout their SAP journey. For the Cybex e-commerce advanced analytics implementation, we will leverage this full range of capabilities to deliver a solution that meets both technical requirements and business objectives.
In the SAP environment, we work with clients from various industries. We offer consulting, systems integration, and digital services with a focus on solution conception, innovation, design, and implementation. Reply draws on considerable experience in global SAP implementations for multinational clients (VW/Audi, FCA, CNHi, ENI, Telecom, Ferrero, Piaggio, ERG, SEA, and many more).
Our diverse client portfolio spans multiple industries and includes many global enterprises. This breadth of experience allows us to bring cross-industry insights and best practices to each new implementation, including Cybex's e-commerce advanced analytics project. Our work with retail, consumer goods, and manufacturing clients is particularly relevant to Cybex's needs.
Our team is ready to answer your questions and provide additional information about our proposal for Cybex's e-commerce advanced analytics implementation. Please feel free to reach out to any of our key contacts below.
Our team is available to discuss any aspect of this proposal in greater detail. We can arrange a virtual demonstration of SAP Business Data Cloud capabilities, walk through similar implementations we've completed, or address specific technical or business questions you may have.
Thank You
A comprehensive solution for implementing advanced analytics capabilities to transform Cybex's enterprise e-commerce platform, leveraging SAP Business Data Cloud and Reply's expertise.