Test-- 3

Re-Engineer Datasphere with BW Bridge Shell or remote conversion BW7.3 – B4HANA2021
Existing models not optimized
- Secure your investments and move SAP BW models and queries to the SAP BW bridge with a tool-supported conversion.
- The entity import in SAP Datasphere automatically creates a new analytic model in the data builder based on SAP BW artefacts and queries.

SAP Datasphere with SAP BW bridge Greenfield in parallel with SAP BW
Optimize as needed
- Using BW Bridge, start with the development of a common data layer on legacy data in proven SAP BW technology with all unique functions such as transforming data, managing data loading with partitioning, monitoring, or error handling.
- Combine proven SAP BW functionality with modern cloud architecture. Enable self-service and agility. Gradually retire BW.

SAP Datasphere with SAP/4HANA hybrid
Hybrid (Intgraet SAP BW and SAP Datasphere)
- Combine existing data models from SAP BW with SAP Datasphere and gradually transition to implementing new use cases.
- The entity import in SAP Datasphere automatically creates a new analytic model in the data builder based on SAP BW artefacts and queries.

SAP Datasphere – Core only
Greenfield in parallel with SAP BW
- Build up a business data fabric without any of the constraints of a legacy deployment and approach.
- Focus entirely on modernization and a simplified data landscape.

Greenfield SAP Datasphere with Hyperscaler (AWS/Azure/Google/Databricks/Redshift)
- Build a Modern Data Stack leveraging SAP Datasphere and AWS Data and Analytics tools. Datasphere provides tight integration with Hyperscaler Cloud Platform for data replication and federation.

Re-Engineer Datasphere with BW Bridge Shell or remote conversion BW7.3 – B4HANA2021
Existing models not optimized
- Secure your investments and move SAP BW models and queries to the SAP BW bridge with a tool-supported conversion.
- The entity import in SAP Datasphere automatically creates a new analytic model in the data builder based on SAP BW artefacts and queries.

SAP Datasphere with SAP BW bridge Greenfield in parallel with SAP BW
Optimize as needed
- Using BW Bridge, start with the development of a common data layer on legacy data in proven SAP BW technology with all unique functions such as transforming data, managing data loading with partitioning, monitoring, or error handling.
- Combine proven SAP BW functionality with modern cloud architecture. Enable self-service and agility. Gradually retire BW.

SAP Datasphere with SAP/4HANA hybrid
Hybrid (Intgraet SAP BW and SAP Datasphere)
- Combine existing data models from SAP BW with SAP Datasphere and gradually transition to implementing new use cases.
- The entity import in SAP Datasphere automatically creates a new analytic model in the data builder based on SAP BW artefacts and queries.

SAP Datasphere – Core only
Greenfield in parallel with SAP BW
- Build up a business data fabric without any of the constraints of a legacy deployment and approach.
- Focus entirely on modernization and a simplified data landscape.

Greenfield SAP Datasphere with Hyperscaler (AWS/Azure/Google/Databricks/Redshift)
- Build a Modern Data Stack leveraging SAP Datasphere and AWS Data and Analytics tools. Datasphere provides tight integration with Hyperscaler Cloud Platform for data replication and federation.

Transforming Analytics for a Global Industrial Gas Provider
Transforming Analytics for a Global Industrial Gas Provider
- Replaced Tableau with SAC for 100+ analytics use cases across operations, sales, and maintenance.
- Integrated SAP and non-SAP systems into a unified Business Data Fabric.
- Built custom apps on SAP BTP for enhanced self-service analytics.

Empowering Self-Service Analytics for a Global Supplier
Empowering Self-Service Analytics for a Global Supplier
- Implemented SAP Datasphere, SAC, and Google Cloud for trade spend, pricing, and retail sales analytics.
- Developed a self-serve model for the Business Performance Team.
- Enabled real-time insights across trade spend, brand share, and volume forecasting.

Enhancing Sales Analytics for a Leading Retail Chain
Enhancing Sales Analytics for a Leading Retail Chain
- Implemented SAP Datasphere and Google BigQuery for advanced analytics on YoY sales trends across store and product hierarchies.
- Analyzed WoW trends for focused products and associated items using machine learning models.
- Provided real-time insights by integrating SAP Datasphere with Google Cloud for data-driven decision-making.

Streamlining Asset Management Analytics for a Diversified Mining Company
Streamlining Asset Management Analytics for a Diversified Mining Company
- Integrated SAP data with Azure Data Lake to provide comprehensive asset management analytics.
- Delivered insights on schedule compliance, workforce utilization, and work order backlogs.
- Enabled a unified view of operational data for improved decision-making and efficiency.

Driving Data Integration for a Global Technology Leader
Driving Data Integration for a Global Technology Leader
- Integrated SAP Datasphere with AWS for a distributed data architecture.
- Implemented premium outbound integration for FP&A and planning use cases.
- Delivered centralized, predictive, and collaborative planning through SAC.

Accelerating Financial Decisions for a Global Innovator in Computing
Accelerating Financial Decisions for a Global Innovator in Computing
- Built a cloud-based finance data warehouse consolidating S/4HANA, Allegro, and Ariba data.
- Developed cash position analytics and forecasting models.
- Implemented a comprehensive change management strategy for financial agility.

Fueling Growth with a Self-Service FP&A Platform for a Global Enterprise
Fueling Growth with a Self-Service FP&A Platform for a Global Enterprise
- Enabled self-service LOB analytics using SAP Datasphere, SAC, and Power BI.
- Provided centralized, predictive, and collaborative planning.
- Pioneered an agile platform for enhanced financial planning and analysis.

Instructor-led Onsite and Virtual Training
For organizations looking to train teams in a more immersive setting, instructor-led sessions provide the depth and engagement necessary to ensure mastery of the material. This interactive format enables participants to ask questions, receive immediate feedback, and practice new skills in a hands-on environment.

Train-the-Trainer Programs
Our Train-the-Trainer sessions transfer knowledge to your internal training resources, equipping them with the skills and materials to train others effectively. This approach ensures that your organization can continue training employees long after the initial implementation, building an in-house team of experts who can support ongoing learning and development.

Microlearning Modules
Our microlearning modules are designed to raise awareness and provide quick insights into new tools, processes, and functionalities. These bite-sized lessons are ideal for introducing updates, explaining the benefits of changes, and helping users adopt new technologies without overwhelming them with information.

On-demand Interactive e-Learning
Self-paced learning gives users the flexibility to engage with training materials at their convenience. We leverage uPerform, an industry-leading tool for e-learning, to create tailored, interactive modules that reinforce learning and ensure users can revisit training content as needed.

Video Tutorials and How-To Guides
Visual learning is a powerful way to help users understand new tools and processes. We offer a variety of video content and “How-To” demonstrations that walk users through key tasks and system functions step-by-step. These short, easy-to-follow videos and guides provide a quick reference for common questions, making it easier for users to adapt to the new system in a practical, hands-on way.

Training Guides, Job Aids, and FAQs
To support ongoing learning, we provide detailed training guides, job aids, and FAQs that serve as long-term reference materials for users. These resources help reinforce what was learned in training and offer quick, easy-to-access guidance when users need it most. By having these tools always available, employees can navigate new processes and resolve issues independently, reducing the need for constant support.
Our team has extensive experience working with multiple fashion clients, bringing deep industry knowledge to every project. We understand the unique challenges of fashion retail and tailor our approach to meet specific needs. This expertise allows us to deliver effective solutions that drive results and maximize value.

We employ a targeted approach to migration, focusing on key areas of your business for maximum impact. By selectively transitioning critical processes and data, we minimize disruptions and streamline the overall migration process, ensuring a smooth and efficient journey to S/4 Fashion.

Our solutions are specifically designed to address the nuances of the fashion industry. From supply chain management to customer engagement, we provide tools and strategies that optimize operations, improve efficiency, and enhance your brand's presence in the market.

CeleRITE is our proprietary tool that accelerates and simplifies the migration from AFS to S/4 Fashion. It offers a seamless transition by efficiently managing complexities and minimizing potential disruptions, allowing you to focus on your core business.

With our tailored approach and advanced tools, we can help you achieve significant savings in both cost and time during your migration process. Our efficient methods and expertise ensure a faster, more streamlined transition to S/4 Fashion, maximizing your investment.


Transforming Analytics for a Global Industrial Gas Provider
Transforming Analytics for a Global Industrial Gas Provider
- Replaced Tableau with SAC for 100+ analytics use cases across operations, sales, and maintenance.
- Integrated SAP and non-SAP systems into a unified Business Data Fabric.
- Built custom apps on SAP BTP for enhanced self-service analytics.

Empowering Self-Service Analytics for a Global Supplier
Empowering Self-Service Analytics for a Global Supplier
- Implemented SAP Datasphere, SAC, and Google Cloud for trade spend, pricing, and retail sales analytics.
- Developed a self-serve model for the Business Performance Team.
- Enabled real-time insights across trade spend, brand share, and volume forecasting.

Enhancing Sales Analytics for a Leading Retail Chain
Enhancing Sales Analytics for a Leading Retail Chain
- Implemented SAP Datasphere and Google BigQuery for advanced analytics on YoY sales trends across store and product hierarchies.
- Analyzed WoW trends for focused products and associated items using machine learning models.
- Provided real-time insights by integrating SAP Datasphere with Google Cloud for data-driven decision-making.

Streamlining Asset Management Analytics for a Diversified Mining Company
Streamlining Asset Management Analytics for a Diversified Mining Company
- Integrated SAP data with Azure Data Lake to provide comprehensive asset management analytics.
- Delivered insights on schedule compliance, workforce utilization, and work order backlogs.
- Enabled a unified view of operational data for improved decision-making and efficiency.

Driving Data Integration for a Global Technology Leader
Driving Data Integration for a Global Technology Leader
- Integrated SAP Datasphere with AWS for a distributed data architecture.
- Implemented premium outbound integration for FP&A and planning use cases.
- Delivered centralized, predictive, and collaborative planning through SAC.

Accelerating Financial Decisions for a Global Innovator in Computing
Accelerating Financial Decisions for a Global Innovator in Computing
- Built a cloud-based finance data warehouse consolidating S/4HANA, Allegro, and Ariba data.
- Developed cash position analytics and forecasting models.
- Implemented a comprehensive change management strategy for financial agility.

Fueling Growth with a Self-Service FP&A Platform for a Global Enterprise
Fueling Growth with a Self-Service FP&A Platform for a Global Enterprise
- Enabled self-service LOB analytics using SAP Datasphere, SAC, and Power BI.
- Provided centralized, predictive, and collaborative planning.
- Pioneered an agile platform for enhanced financial planning and analysis.
Test 3