Find a talent Who is Simon ?

SAP Datasphere

SAP Datasphere

 

SAP Datasphere was announced in May 2021, so it is a relatively new product in the SAP ecosystem. SAP Datasphere is part of SAP’s strategy to expand its cloud offerings and provide customers with a comprehensive suite of solutions for managing and analyzing data.

 

Why SAP Datasphere?

 

SAP launched SAP Datasphere as part of its strategy to help customers make better use of their data by providing a cloud-based platform that can integrate, manage and analyze data from various sources. The explosion of data in recent years has made it increasingly challenging for organizations to manage and derive insights from their data. SAP Datasphere was created to help businesses overcome these challenges and take advantage of the opportunities presented by data.

Customers can centralize their data sources, automate data pipelines, and leverage machine learning and artificial intelligence capabilities to extract insights and make data-driven decisions. Additionally, SAP Datasphere provides a flexible and scalable architecture that can adapt to evolving business needs and data growth.

Overall, SAP Datasphere is designed to help businesses accelerate their digital transformation journey and gain a competitive advantage by making better use of their data.

 

What are the main functionalities ?

 

The main functionalities are :

  1. Data integration: It enables users to connect and integrate data from various sources, including SAP and non-SAP applications, data lakes, databases, and cloud storage. It supports a wide range of data formats and protocols, making it easy to extract and ingest data from different sources.
  2. Data management: It provides a centralized repository for storing and managing data. It includes tools for data cleansing, data transformation, and data quality control, ensuring that data is accurate, consistent, and up-to-date.
  3. Data analytics: It includes advanced analytics capabilities for data visualization, data mining, and machine learning. It supports popular data analytics tools such as R, Python, and SQL, enabling users to perform complex analytics tasks with ease.
  4. Data governance: It provides a comprehensive set of tools for managing data governance policies, ensuring that data is used in compliance with regulations and corporate policies. It includes features such as data access controls, data lineage tracking, and data privacy and security.
  5. Data collaboration: It provides a platform for data collaboration and sharing, enabling teams to work together on data projects and share insights and results. It includes features such as data sharing, data collaboration, and data versioning.

SAP Datasphere is a comprehensive suite of tools for managing and analyzing data, enabling businesses to derive insights and make data-driven decisions.

 

How does it compare to SAC?

 

SAP Datasphere and SAP Analytics Cloud (SAC) are both cloud-based solutions offered by SAP, but they serve different purposes and have different functionalities.

SAP Datasphere  is primarily focused on data integration, management, and advanced analytics, providing a platform for businesses to centralize and manage their data, perform data cleansing and transformation, and leverage advanced analytics capabilities such as data visualization, data mining, and machine learning.

On the other hand, SAP Analytics Cloud (SAC) is a complete analytics platform that provides a wide range of functionalities for data visualization, planning, and predictive analytics. It also includes features for collaborative analytics, allowing users to share insights and collaborate on data projects.

While SAP Datasphere provides advanced capabilities for data integration and management, SAC offers more extensive capabilities for data visualization, planning, and predictive analytics.

In terms of integration, SAP Datasphere can be used in conjunction with SAC to provide more comprehensive data management and analytics capabilities. For example, businesses can use SAP Datasphere to extract and prepare data, and then use SAC to create visualizations, perform forecasting and predictive analytics, and share insights with others.

In summary, SAP Datasphere and SAP Analytics Cloud serve different purposes, but can be used together to provide a complete data management and analytics solution for businesses.

 

Links

 

 

Check out Simon’s blog if you want to know more : Simon Sourcing

Some very good info on Gartner  : Read more at gartner.com