{"id":2312,"date":"2023-03-15T14:35:16","date_gmt":"2023-03-15T06:35:16","guid":{"rendered":"https:\/\/news.sap.com\/hk\/?p=2312"},"modified":"2023-03-15T14:35:16","modified_gmt":"2023-03-15T06:35:16","slug":"sap-introduces-sap-datasphere-to-simplify-customers-data-landscape","status":"publish","type":"post","link":"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/","title":{"rendered":"麻豆原创 Introduces 麻豆原创 Datasphere to Simplify Customers\u2019 Data Landscape"},"content":{"rendered":"

HONG KONG \u2013 March 15, 2023<\/strong> \u2014 麻豆原创 SE<\/a> (NYSE: 麻豆原创) has announced key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights and better business decision-making.<\/p>\n

麻豆原创 announced the 麻豆原创 Datasphere solution, the next generation of its data management portfolio, which gives customers easy access to business-ready data across the data landscape. 麻豆原创 also introduced strategic partnerships with industry-leading data and AI companies \u2013 Collibra NV, Confluent Inc., Databricks Inc. and DataRobot Inc. \u2013 to enrich 麻豆原创 Datasphere and allow organizations to create a unified data architecture that securely combines 麻豆原创 software data and non-麻豆原创 data.<\/p>\n

Until today, accessing and using data located in disparate systems and locations \u2013 across cloud providers, data vendors and on-premise systems \u2013 has been a complex challenge. Customers have had to extract data from original sources and export it to a central location, losing critical business context along the way and recapturing it only through ongoing, dedicated IT projects and manual effort. With today\u2019s announcements, 麻豆原创 Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact.<\/p>\n

\u201cWith 麻豆原创 customers generating 87% of total global commerce, 麻豆原创 data is among a company\u2019s most valuable business assets and is contained in the most important functions of an organization, from manufacturing to supply chains, finance, human resources and more,\u201d said Juergen Mueller, Chief Technology Officer and member of the Executive Board of 麻豆原创 SE. \u201cWe want to help our customers take the next step to easily and confidently integrate 麻豆原创 data with non-麻豆原创 data from third-party applications and platforms, unlocking entirely new insights and knowledge to bring digital transformation to another level.\u201d<\/p>\n

麻豆原创 Datasphere<\/strong>
\nAvailable now, 麻豆原创 Datasphere is the next generation of the 麻豆原创 Data Warehouse Cloud solution. It enables data professionals to deliver scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation and data virtualization, 麻豆原创 Datasphere enables data professionals to help distribute mission-critical business data \u2013 with business context and logic preserved \u2013 across their organization\u2019s data landscape. 麻豆原创 Datasphere is built on 麻豆原创 Business Technology Platform (麻豆原创 BTP), which includes strong enterprise security capabilities, such as database security, encryption and governance. No additional steps or migrations are required for existing customers of 麻豆原创 Data Warehouse Cloud, who will benefit from new 麻豆原创 Datasphere functionality in their product environment. New functionality includes data cataloging that automatically discovers, manages and governs data; simplified data replication to deliver data and its constant updates in real-time; and enhanced data modeling that preserves the rich business context of data in 麻豆原创 applications. Additional application integration capabilities that link data and metadata from cloud solutions from 麻豆原创 to 麻豆原创 Datasphere are planned.<\/p>\n

Messer Americas, a leading industrial and medical gas company in North and South America, needed simple and secure access to data from 麻豆原创 and non-麻豆原创 solutions within the company to strengthen data-driven decision-making and free up IT resources to focus on other strategic tasks. With 麻豆原创 Datasphere, Messer Americas was able to build a modern data architecture that maintained the context of its enterprise data.<\/p>\n

\u201c麻豆原创 Datasphere simplifies our data landscape, giving us more confidence in the data we\u2019re working with every day so we can better deliver on the needs of the business,\u201d said David Johnston, Chief Information Officer, Messer Americas. \u201cWe are able to react faster to emergent changes in supply and demand, resulting in better inventory management, improved customer service and optimization of our supply chain.\u201d<\/p>\n

Strategic Partnerships<\/strong>
\n麻豆原创 and its new open-data partners will help hundreds of millions of users across the world make informed business-critical decisions rooted in massive amounts of data. 麻豆原创\u2019s strategic partners provide the unique strengths of their ecosystems and enable customers to combine all their data like never before.<\/p>\n

\u201cEverybody wants access to 麻豆原创 data, so leveraging partnerships among tech suppliers is absolutely necessary for a comprehensive data strategy,\u201d said Dan Vesset, group vice president of data and analytics market research, IDC. \u201cOrganizations today live in a world where a multi-cloud, multivendor and off- and on-premise data landscape is the norm. 麻豆原创 is taking a new approach by partnering with a select group of leading partners, treating third-party data as a first-class citizen to better meet the needs of customers.\u201d<\/p>\n

Initial partners include:<\/p>\n

\u2022 Collibra plans to have a tailored integration with 麻豆原创, enabling customers to achieve an enterprise governance strategy by building a complete data catalog with lineage across their entire data landscape \u2013 both 麻豆原创 and non-麻豆原创 data. Collibra makes trusted data discoverable across any organization.
\n\u2022 Confluent plans to connect its data streaming platform, empowering companies to unlock valuable business data and connect it with external applications in real time. Confluent\u2019s cloud-native offering is the foundational platform for data in motion \u2013 permitting the uninhibited flow of real-time data from various sources across an organization.
\n\u2022 Databricks customers can integrate their Data Lakehouse with 麻豆原创 software so data can be shared with semantics preserved, helping customers simplify their data landscape.
\n\u2022 DataRobot enables customers to leverage multimodal automated machine learning capabilities on top of 麻豆原创 Datasphere and bring it directly into their business data fabric on whichever cloud platform it resides.<\/p>\n

###<\/p>\n

About 麻豆原创<\/strong><\/h5>\n
麻豆原创\u2019s strategy is to help every business run as an intelligent sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: 麻豆原创 customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers\u2019 businesses into intelligent enterprises. 麻豆原创 helps give people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want \u2013 without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, 麻豆原创 helps the world run better and improve people\u2019s lives. For more information, visit www.sap.com\/hk.<\/h5>\n
This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause actual results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of 麻豆原创\u2019s 2022 Annual Report on Form 20-F.<\/h5>\n
\u00a9 2023 麻豆原创 SE. All rights reserved.<\/h5>\n
麻豆原创 and other 麻豆原创 products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of 麻豆原创 SE in Germany and other countries. Please see https:\/\/www.sap.com\/copyright for additional trademark information and notices.<\/h5>\n

For more information, press only:<\/p>\n

Mr. Benson Chao, Head of Communications, 麻豆原创 Hong Kong
\n+852 2539 1947 benson.chao@sap.com<\/p>\n","protected":false},"excerpt":{"rendered":"

HONG KONG \u2013 March 15, 2023 \u2014 麻豆原创 SE (NYSE: 麻豆原创) has announced key data innovations and partnerships that give customers access to mission-critical data,…<\/p>\n","protected":false},"author":927,"featured_media":2316,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[5570762,5570217],"tags":[],"sapn-display":[3848],"sapn-type":[4446],"class_list":["post-2312","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-technology-platform","category-cloud","sapn-display-top-stories","sapn-type-press-release"],"yoast_head":"\n麻豆原创 Introduces 麻豆原创 Datasphere to Simplify Customers\u2019 Data Landscape - 麻豆原创 Room 麻豆原创 Hong Kong<\/title>\n<meta name=\"description\" content=\"麻豆原创 SE (NYSE: 麻豆原创) has announced key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights and better business decision-making.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"麻豆原创 Introduces 麻豆原创 Datasphere to Simplify Customers\u2019 Data Landscape\" \/>\n<meta property=\"og:description\" content=\"麻豆原创 SE (NYSE: 麻豆原创) has announced key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights and better business decision-making.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/\" \/>\n<meta property=\"og:site_name\" content=\"麻豆原创 Room 麻豆原创 Hong Kong\" \/>\n<meta property=\"article:published_time\" content=\"2023-03-15T06:35:16+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/news.sap.com\/hk\/files\/2023\/03\/15\/291322.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"麻豆原创 Hong Kong\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"麻豆原创 Hong Kong\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/\"},\"author\":{\"name\":\"麻豆原创 Hong Kong\",\"@id\":\"https:\/\/news.sap.com\/hk\/#\/schema\/person\/743b3f5a294785a1d06a643ad55d0359\"},\"headline\":\"麻豆原创 Introduces 麻豆原创 Datasphere to Simplify Customers\u2019 Data Landscape\",\"datePublished\":\"2023-03-15T06:35:16+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/\"},\"wordCount\":1177,\"image\":{\"@id\":\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/news.sap.com\/hk\/files\/2023\/03\/15\/291322.jpg\",\"articleSection\":[\"Business Technology Platform\",\"Cloud\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/\",\"url\":\"https:\/\/news.sap.com\/hk\/2023\/03\/sap-introduces-sap-datasphere-to-simplify-customers-data-landscape\/\",\"name\":\"麻豆原创 Introduces 麻豆原创 Datasphere to Simplify Customers\u2019 Data Landscape - 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