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Start Your Digital Manufacturing Journey: 4 Steps to Your Smart Factory
We have collected 4 dedicated steps to start your journey towards a smart factory!
Data is widely recognized as the engine that drives growth and innovation. To fully realize the potential of data and its sibling analytics, organizations must develop a secure data strategy that promotes a data culture and enables data monetization and data-driven innovation. This involves
By doing so, organizations can unlock new opportunities and drive growth and innovation in their operations.
SAP Datasphere empowers organizations to harness the full potential of their data by providing a secure, scalable, and intuitive platform for data-driven innovation. With SAP Datasphere, businesses can explore new possibilities for growth and innovation through advanced analytics, machine learning, and AI-driven insights. Whether it is optimizing operations, improving customer experience, or developing new products and services, SAP Datasphere provides the tools and expertise needed to unlock the full potential of data.
Together with SAP Datasphere, SAP launched new partnerships to complete the set-up of analytical data management and the idea of a Business Data Fabric (BDF). BDF is designed to support the increasing demand for data-driven decision-making, as it enables organizations to gain real-time insights into their data, regardless of its location. It leverages a variety of data integration technologies, including data virtualization, data integration, data quality, and data governance, to ensure that data is accessible, accurate, and consistent across the organization.
SAP has established partnerships with a diverse range of leading technology vendors to help organizations for their processes and reduce complexity. Following strategic partners brings the unique strengths to build a powerful open data ecosystem around SAP Datasphere. The partner landscape include:
SAP Datasphere has been designed to cater to the distinct requirements of two user groups with diverse levels of expertise in data management: The data layer is tailored to the technical approach of data engineers who create models and provide raw data integration via data builder, data access control, data integration or connection. On the other hand, the business layer is designed for business users to create models that use more semantic approaches.
The segregation of modeling layers enables business users and data engineers to work independently, while still being able to share data and collaborate effectively. The collaboration between business users and data engineers transforms fundamentally, as data engineers can focus on data consolidation and provisioning, while business users can fine-tune business models to optimize decision-making processes.
Data catalog feature is a powerful tool that gathers and arranges metadata and data assets. It empowers users of all technical levels to fully utilize your enterprise data. The data catalog enables fast and easy discovery of data, comprehension of relationships, and visualization of data lineage.
On top of the three key features described so far, SAP Datasphere offers easy-to-use data integration, a Cloud-based architecture, simplified data modeling, built-in advanced analytics, collaboration, and security & compliance.
After covering the high-level overview and key features, let’s look at recent innovation with SAP Datasphere:
SAP has introduced a new cloud-based replication technique called the “new replication flow”. It is designed to streamline data integration processes by removing the need for extra on-premises components. This means, no installation and maintenance activity are needed for DP-Server/DP-Agent. To establish connections with remote sources, the new replication flow functionality leverages the data intelligence embedded environment and the data intelligence connectors.
Furthermore, the new replication flow has been seamlessly integrated into the existing data builder, and it comes with built-in monitoring features.
The new replication flow is ideal for replicating multiple data assets from an only source to a single target in a straightforward and efficient manner, without the need for complex logic. It can load data from your source systems using both batch and delta functionalities, all with a single flow. Please refer to supported connection type available for ‘’New Replication Flow’’ (Integrating Data via Connections | SAP Help Portal).
Data catalog enables self-service discovery of data and analytics assets, glossaries, terms, and key performance indicators. SAP Datasphere is also integrated with top third-party catalog vendors to drive the business data fabric.
Technically, data catalog is categorized into three areas:
The Analytic Model is a key component of SAP Datasphere that enables multi-dimensional and semantically rich analytical modeling. It plays a critical role in providing faster, more efficient, and easy-to-use solutions for complex business questions.
The analytical model represents the start schema with a fact dimension model and provides a variety of benefits:
The analytic model is set to be the primary analytical consumption artifact across all channels in SAP Datasphere. While analytical datasets in the data layer and business layer perspectives will still be used for a while, the analytic model already offers superior features for most modeling scenarios.
SAP Datasphere is a powerful cloud-based solution that provides organizations with the flexibility, scalability, and agility they need to handle their data warehousing needs. With its intuitive interface, comprehensive data modeling capabilities, and robust analytics tools, it enables users to easily create and manage their data models, integrate data from various sources, and generate actionable insights that drive business value.
Additionally, the platform’s cloud-native architecture and its integration with other SAP solutions make it an ideal choice for organizations looking to modernize their data warehousing infrastructure, while taking advantage of emerging technologies like artificial intelligence and machine learning.
Overall, SAP Data sphere represents a significant step forward in the evolution of data warehousing, and its many features and capabilities make it an asset for businesses of all sizes and industries.
We have collected 4 dedicated steps to start your journey towards a smart factory!
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