Experiences with SAP Datasphere and SAC at Endeavour Energy
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19 results
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SAP Datasphere – An Introduction
As enterprises adopt data-driven best practices and decisions, the quality of data plays a key role. As data is processed from multiple data sources, the business context to the data is typically lost. Without the right context, business queries on the dataset might not always return the best results, in turn hampering downstream data applications,… -
Deep Dive: SAP Analytics Cloud, SAP Analytics Cloud Designer, and SAP Datasphere
In this presentation hear the latest on SAP Datasphere, SAP Analytics Cloud, and SAP Analytics Cloud Analytics Designer. This session will discuss SAP’s analytics capability strategy and will outline the roadmap for these products. -
Why SAP Datasphere Matters
SAP Datasphere, the next generation of the SAP Data Warehouse Cloud solution, solves a lot of the challenges people have with the volume and distribution across data. SAP Datasphere closely aligns existing components in the Business Technology Platform along with newly available data integration, data cataloging, and semantic modeling features. -
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How SAP Datasphere Delivers Seamless Access to your Business Data
Access the SAP Datasphere presentation to discover how SAP is addressing the unmet need for customers to unlock the power of their critical business data. Learn about SAP Datasphere, an open data ecosystem built on the SAP Business Technology Platform, and explore its underlying technology foundation that enables a simplified delivery of an integrated data… -
Experiences with SAP Datasphere and SAC at Endeavour Energy
The industry is increasingly moving towards fluid data movement and hybrid cloud environments. With SAP as the main source of truth the ability to understand and expose this data along with other corporate data for analytics is integral to the success of a data strategy. This presentation will cover early experiences with designing a hybrid… -
SAP Datasphere – Unleash the Power of Business Data
Click Here to View the Session Deck SAP datasphere is the foundation for a business data fabric architecture. There are many reasons one would want a business data fabric. Self-service access to trusted data breeds agility and accelerated accurate decisions. Comprehensive data governance assures every stakeholder that private data stays private. View this session deck…...… -
SAP Partners with Google Cloud to Bring AI to Datasphere
SAP announced that it is partnering with Google Cloud to enhance its generative AI offerings, focusing initially on the automotive sector to advance sustainability performance. Leveraging the strength of SAP Datasphere and Google Cloud Vertex AI, the collaboration aims to facilitate the development and training of generative AI models using data from Catena-X, an open… -
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Enabling a Data Fabric that Links Strategy to Execution
Many organizations are slowly beginning to realize the fact that they have a significant gap between their data strategy and execution. Disparate landscapes and varied business user requirements to reactive approaches in addressing specific, high-value needs can make it difficult for organizations to meet their business objectives. In this article, we will explore how SAP… -
SAP Headed for the Datasphere
SAP Announces Strategic Data Management Partnerships and Updates to Cloud Offering SAP announced a series of strategic partnerships and update to its core SAP Data Warehouse solution to support SAP customers growing requirements and investment in the areas of data management. This article provides a detailed overview of the announcement as well what it means… -
Precog Delivers Analytics-Ready Data — from Everywhere
Data is essential for companies that want to work in a forward-thinking way, as organizations need information to power their analytics. However, many organizations struggle with data management. Most organizations surveyed in SAPinsider’s 2023 SAP Data Management Strategies Research Report said that their data management strategy meets their requirements either only partially, slightly, or did…
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