SAP Business Data Cloud
Business Data Cloud as important building block for your Analytics strategy
SAP Business Data Cloud is a core part of our Analytics consulting portfolio. In our discussions with clients we hear always hear about key challenges like the consolidation of data silos, growing demand for self-service scenarios and simply the end of maintenance for their current SAP BW landscape. This often leads to the question which part SAP Business Data Cloud can play to tackle these challenges. We follow a holistic approach to determine together with you which role Business Data Cloud and its components (Datasphere, BW PCE, Analytics Cloud, Databricks), can play in your Analytics strategy and architecture.
This includes hybrid architectures for Datasphere to complement an existing BW/4HANA system, migration approaches for moving Analytics from BW to BW PCE or Datasphere as well as initial scoping and definition of a first proof of concept. We will help you to define a fitting roadmap that also aligns with your other IT initiatives (e.g., a possible S/4HANA conversion).
Analytics Strategy
Customer Question
NEXT
Future orientated
ONE
- Future orientated
- Open Source
- Self Service
- Stability
- Governance
- ABAP
Planning Strategy
Customer Question
How can I handle and accelerate my planning process?
Fully integrated
Implementation-Approach for Business Data Cloud
- Analysis of the environment
- Scope and objectives
- Define Use Cases
- Identify relevant data sources
- Design architecture (Datasphere & SAC)
- S/4 Impact
- Empower Datasphere access
- BW Bridge (opt.)
- Configure DP Agent & Cloud Connector
- Connections
- Deliver target picture target process
- modelling
- Use Cases delivery
- Process
- functional
- System measures to initiate new continuous improvement cycle and final evaluation of project
- Training & Know How Sessions
- During the scoping phase we help you define use cases, business benefits and the scope of your Business Data Cloud initiative.
- During the target picture phase we develop the concrete target architecture together with you, based on existing capabilities and specific business requirements. This also includes development guidelines, modelling approaches etc.
- We support you with setting up the necessary infrastructure and technical integration for your Datasphere system.
- As part of the delivery we implement your Datasphere application based on the target picture. This can include migration initiatives from SAP BW to Datasphere or greenfield development of new analytical applications in Datasphere.
- Finally, we support you in evaluating your Datasphere application against the requirements as well as in running and improving your Datasphere system
SAP Business Data Cloud & cbs
- System inventory of the existing DWH to map the activities to a future-orientated DWH
- Overview of migration/remodeling scenarios and project approach
- Overview of interfaces, data models and necessary steps
- Understand the possibilities with BW/4HANA, Datasphere or Embedded Analytics
- Framework for mapping a DWH governance strategy
Your SAP Datasphere Project is ready to start!
Our Prestudy package combines the scoping and target picture building blocks to give you the best possible starting point into your Business Data Cloud journey. Together with you we define the scope of Datasphere within your analytics architecture and position its capabilities against other analytical systems (e.g., BW/4HANA, BW PCE, S/4HANA Embedded Analytics).
We define the interaction between those systems and an overarching Analytics governance strategy. We will develop the project approach to get to the defined target architecture und align a possible roadmap with your other, parallel initiatives (e.g., an S/4HANA conversion project). Based on your current situation the Prestudy package will cover 15 – 25 FTE.
SAP Datasphere & cbs
Our Masterclass offering supports you in building the necessary SAP Datasphere skills for your Analytics team. We will tailor the training sessions based on your specific requirements to cover the topics Administration, Data Integration, Data Modelling, Data Consumption and Data Governance & Security. Each topic will consist of theory and hands-on exercises. We can deliver the masterclass on-site or virtually based on your preferences.
Gain SAP Datasphere Know How!
- Acquire deep insights and technical expertise in SAP Datasphere
- Integrate theoretical knowledge with hands-on practical experience
- Adapt to a cloud-focused mindset and modern data management strategies
- Customer examples & best practices
- Overview of SAP Datasphere architecture and components
- Key use cases and business scenarios
- Integration with other SAP & non-SAP solutions (e.g., SAP S/4HANA)
- Data Loadings
- User & Space Maintenance
- Transporting
- Data Loadings
- User & Space Maintenance
- Transporting
- Data Loadings
- Modeling approaches
- Virtual, Persistent, and hybrid approaches
- Reporting Access
- Non-SAP Consumption
- Cataloging
- Analytical Authorizations
Path to success
With semantic onboarding and business content from SAP, Datasphere provides a lot of possibilities to accelerate your data modelling and Dataspere implementation projects. With the same idea we built data models for certain reporting areas based on our experience and best practices from previous projects. These template data models can be imported into your Datasphere system and then used as a starting point for further data modelling to handle your specific requirements.
This approach allows you to jump start your Datasphere implementation and to quickly create report drafts to discuss, evaluate and further refine. At the same it reduces the implementation risk and increases the quality of data integration by re-using existing best practices. When importing and applying those templates we will also make sure, that they adhere to your specific naming conventions and space concept.
Pre-built data models accelerate BI solution implementation and reduce manual development effort.
Proven data validation and cleansing mechanisms ensure reliable data insights.
Adaptable to growing data volumes and evolving business needs, with the ability to extend to additional requirements
Replicate via SAP CDS Views into SAP Datasphere, with Real-Time scenarios.
One of World’s First Datasphere Implementations
Innovation is key. We want to leverage technologies such as artificial intelligence, big data, and new digital business models for our businesses to drive productivity, customer centricity and our employee user experience.
- First implementation of SuccessFactors-based HR reporting and workforce planning process using SAP Datasphere and Analytics Cloud
- Bridge-Reporting: Harmonization of S/4HANA Margin Analysis & historical COPA data for global profitability analysis
Program Duration
Records for S/4 Margin Analysis
Global Reporting User
Datasphere as Data Fabric for Freudenberg Group
- Enabling consolidated access point through SAP Analytics Cloud for Reporting & Planning
- Sustainable Data Strategy and Architecture using Business Data Fabric Principles
- Implementation of Sustainability Control Tower for each subsidiary, addressing industry-specific differences
- Pillar 2 Minimum Taxation with PaPM Cloud, Datasphere, and SAC
- Real Estate Building Cost Controlling: Reporting & Planning
Different SAP systems
Integration with SAP & non-SAP
Modern reporting Front-end
Dürr AG
Analytics with BTP & Datasphere
- Datasphere as a future-proof, central repository for analytics & reporting
- Bridge Reporting: Combining SAP ECC & SAP S/4 HANA processes and data
- Tight integration with BTP: Cap App for analytical authorizations (Data Access Controls) in SAP Datasphere
- Integrated user management based on Identity Authentication Service (IAS)
Innovations in BTP
consolidate ERP systems into one
from OnPremise to Cloud
