SAP Analytics Solutions
SAP Data Sphere
SAP Datasphere is a next generation data warehouse in the cloud and is a data management framework that enables simple, scalable access to your data. It is built on the SAP Business Technology Platform .The core feature of SAP Datasphere includes the data integration, which allows for the import, transformation, and harmonization of data from a wide range of sources. It also supports data federation, allowing you to query data from several sources using a single SQL interface and unified semantic layer. The adaptable design supports a variety of data models, storage techniques, and analytical engines.
Access to Authoritative Data
Organizations rely on accurate and reliable information to make informed decisions. By accessing authoritative data, businesses can ensure that the information they are working with is up-to-date, trustworthy, and relevant. This enables them to make data-driven decisions with confidence.
Enriching All Data Project
By augmenting existing datasets with additional information, organizations can gain deeper insights and unlock hidden patterns. This enrichment process involves enhancing data quality, integrating external sources, and leveraging advanced analytics techniques.
Simplification of the Data Landscape
Simplifying the data landscape has emerged as a key goal for organizations. With the exponential growth of data sources and formats, managing and integrating data can quickly become complex and cumbersome. By streamlining and consolidating the data landscape, businesses can reduce the complexity and improve the efficiency of data management processes. This simplification allows organizations to focus on extracting actionable insights from their data rather than grappling with data integration challenges.
Business Data Fabric
Creating a data management architecture that focuses on delivering an integrated, semantically rich data layer over underlying data landscapes to provide seamless and scalable access to data without duplication
Open Data Ecosystem
Open Data Ecosystem in SAP Datasphere means a network of data analytics partners that provide complementary capabilities to SAP Datasphere, such as Tableau, Qlik, Microsoft Power BI, Databricks and more. It allows customers to leverage the best-in-class tools and platforms for their data projects, while accessing SAP data with business context and logic intact
With semantic modeling, users can define their own business logic and language, as well as create and share their own business views and hierarchies. Metadata management, data lineage, data quality, and data security are just a few of the data cataloging features that aid in the discovery, comprehension, and administration of data assets. SAP Datasphere also aids with data virtualization, which allows data from any source to be accessed and analyzed in real time without the need for data movement. Its open data environment enables seamless interaction with industry-standard data-analytics systems such as Tableau, Qlik, and Microsoft Power BI. SAP Datasphere enables businesses to securely integrate SAP and non-SAP data from any source into a unified database.
SAP Analytics Cloud
A cloud-based solution that combines business intelligence, augmented analytics, predictive analytics, and enterprise planning in a single system. It is built natively on SAP HANA Cloud Platform and allows users to visualize, plan, and make predictions in one secure, cloud-based environment.
Explore data across the organization and deliver insights at the point of decision using various visualization tools, such as charts, tables, maps, and stories. You can also apply generative AI and natural language processing to search-driven analytics
Use machine learning and artificial intelligence to uncover hidden patterns and trends in your data along with generating forecasts and scenarios based on your data and assumptions. Also automation planning tasks with smart predict
Simulate any scenario for better business outcomes. Comparing different versions of your plans, test the impact of changes, and create what-if analyses. Organizations can also generate plans from predictions automatically to drive agile decisions
Sharing your insights and plans with others in real time by chat, comments, annotations, and notifications to communicate with your team. Organizations can also assign tasks, track progress, and approve changes
Managing your planning processes with workflows and calendars. Organizations can also define roles and permissions for different users and groups. Organizations can also monitor the status of your plans and ensure data quality and security
Industry Specific Content
Prebuilt content packages for different industries and lines of business. Best practices, templates, models, and stories to accelerate your planning projects. Organizations can also customize the content to fit their needs
One of the main features of SAP Analytics Cloud is enterprise planning, which enables organizations to analyze, plan, budget, forecast, and predict across all departments and business units. Organizations can create strategic alignment across the organization, crowdsource plans from different stakeholders, and make confident decisions with SAP Analytics Cloud.
What We Think
SAP is a key player in this area, with solutions such as SAP Analytics Cloud and SAP HANA Cloud. Competitors include Microsoft's Azure Data Bricks, IBM's DB2 Big SQL, Oracle, and Google. In 2020, SAP, together with Microsoft, IBM, and other players, was among the world's major providers of big data analytics.
Considering SAP's share in the analytics and business intelligence platforms market, it has the potential to generate revenue of approximately $53.8 billion from this segment by 2029.