The data is the basis of all modern companies. They constitute the unwavering cornerstone of any digital transformation and the driving force of artificial intelligence (AI). Thanks to his five decades of experience in the management of critical mission processes in all sectors, SAP has witnessed the transforming power of business data.
Recently, the company has announced Sap Business Data Cloud, A totally managed software (SAAS) solution that unifies and governs all SAP data and connects perfectly with third -party data. As evolution of its previous planning and analysis of leading data of the sector, SAP Business Data Cloud Aúna Sap DataSphere, SAP Analytics Cloud and SAP Business Warehouse with a unified experience that provides transformative perspectives for all business lines.
SAP has also announced a historical alliance with Databricks, incorporating all its capabilities directly in Sap Business Data Cloud. This marks a new era in business data management, thanks to the union of two leaders in their respective sectors, which alienated to redefine the joint work of applications and data platforms.
Promote transformative perspectives
Many organizations continue to deal with data that they cannot trust. This persistent lack of trust remains an obstacle to true innovation in data and IA.
In a world survey conducted to 1,200 business and technological managers 55% of the interviewees highlighted the poor quality of the data as their biggest challenge. And almost half of the respondents pointed out the difficulty of harmonizing the data in all ecosystems as a weight of weight why innovation stagnates.
SAP Business Data Cloud faces this problem with a reliable and harmonized database, which allows business leaders and you to have a complete business context around their data to make decisions with greater impact.
SAP Business Data Cloud provides fully managed SAP data products in all business processes. These data products healed They are aligned with a highly optimized and unified “unique domain model”, maintaining its original business and semantic context, which provides immediate access to high quality and trust data.
Since these data products They are fully managed by SAPcompanies no longer have to support hidden costs of reconstruction and maintenance of data extracts. The SAAS experience simplifies the management of the life cycle, guarantees the coherence of the data and allows shared use without a copy throughout the data and analysis ecosystem.
With these data products, SAP Business Data Cloud offers a set of pre -constructed analytical applications that helps discover hidden perspectives and accelerate decision making. Are insight apps o Information applications are fully managed and incorporate predefined metrics, AI models and planning capabilities, simplifying the way to connect and integrate each part of a business.
All this accelerates the cases of use aligned with the most important business functions, such as ERP, expenses, supply chain, HR, client experience and finance.
Every organization needs to know the pulse of its most important resources. With the insight appspreconfigured packages already connected to the business data can be used – as circulating capital – to obtain a vision of 360 degrees of the financial health of an organization with real -time visibility of the cash flow and profitability.
Interconnected data
SAP Business Data Cloud connects all the data of an organization taking advantage of the principles of architecture business data fabricwhich facilitates the discovery, the shared use, control and modeling of these. In addition, it includes Databricks as a data service of origin, thus introducing the entire power of Databricks directly in Sap Business Data Cloud.
- Business semantics: SAP DATASPHERE can be used to discover, share and model the same data – always reliable – on all existing platforms without the need for expensive data extractions. Through its use, a powerful knowledge graph of all data of an organization is created, retaining the metadata and business semantics, so that the data can be easily search and use. In the case of current SAP Datasphere clients, their investments will remain fully compatible, without interruptions, and all SAP Datasphere functions will be available natively in SAP Business Data Cloud.
- Data engineering and machine learning/ IA: SAP and Databricks allow all data professionals to accelerate AI models and generative AI applications in their business data. Native capabilities such as Delta Sharing They harmonize SAP data products with lakehouses existing bidirectionally. When integrating all data with a zero copy approach, advanced models of AI and machine learning to cases of financial use, such as the prediction of the payment date in pending accounts.
- SAP Business Warehouse modernization: SAP Business Data Cloud offers Sap Business Warehouse’s premise customers a flexible path to the cloud. Through native integration with SAP Business Warehouse, a company is easily accessed as a data product with the object warehouse through Delta Sharethus simplifying the modernization trip and maximizing investment in Sap Business Warehouse.
- Analysis and planning: SAP Business Data Cloud Aúna Analytical and Planning in a single solution, allowing the immediate step of knowledge to action. Thanks to this solution it is possible to automate the generation of reports, simulate possible business results with AI and unify financial, operational and supply chain, all in a connected view.
In the words of Markus Hartmann, corporate vice president and head of Henkel business technology: «SAP Business Data Cloud will help us unlock the value of our data and boost innovation throughout our business. Its semantically rich data products and the deep integration of Databricks will connect and improve our existing data products, guaranteeing long -term adaptability. Reliable and ready for the business will train users to model scenarios and take advantage of AI knowledge, building a sustainable and flexible future for our data ecosystems».
Foster a reliable AI
The rapid growth of agricultural AI requires that companies first with the appropriate database. SAP Business Data Cloud gathers all the data of an organization to ensure that agricultural AI is built on precise and reliable data with business context.
Joule, the Copilot of SAP generative, is deeply integrated with Sap Business Data Cloud. The knowledge chart of SAP Business Data Cloud connects the data, metadata and business processes, which allows the agents of AI, Joule and the large language models (LLM) to understand the data of an organization in the context of its relations.
This mapping creates clear data links, making knowledge more reliable for users and applications. Training the agents of AI and Joule in knowledge and business context increases productivity. For example, Users can use AI to complete interfunctional tasksdiscover perspectives and summarize critical information throughout the company, without having to depend largely on IT support. This allows AI to automate complex analysis and planning tasks, such as risk assessment, forecast and other advanced scenarios.
Ecosistema de SAP Business Data Cloud
In essence, Sap Business Data Cloud has been created to prioritize the opening and choice of the client. To simplify the data environment of an organization, SAP Business Data Cloud admits an open data ecosystem. Is natively integrate with Leading data partners and like Collibra, Confluent and Datarobot. And he doesn’t stop there; In the coming weeks and months new strategic associations will be announced to further expand the open data ecosystem.
Thanks to the support of the extensive ecosystem of SAP partners, obtaining transformative information based on all data from an organization is now simpler. SAP has partners with extensive experience in business processes and industrial sectors that are already creating information applications about SAP Business Data Cloud.
Las insight apps of the partners SAP are based on data products and central services provided by SAP Business Data Cloud, from enrichment to data activation. The company is already celebrating the announcement of the first applications of partners With partners such as Accenture, Datarobot, Spendscape by McKinsey, PWC, EY, Deloitte and Capgemini.
Signed by: Irfan Khan, president and Chief Product Officer for SAP Data & Analytics
