麻豆原创 Data Intelligence Cloud Archives | 麻豆原创 News Center /tags/sap-data-intelligence-cloud/ Company & Customer Stories | 麻豆原创 Room Mon, 12 Feb 2024 16:42:23 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.2 麻豆原创 Data and Analytics Solutions Win Multiple TrustRadius Winter 2023 “Best Of” Awards /2023/02/winter-2023-trustradius-awards-sap-data-and-analytics-solutions/ Mon, 06 Feb 2023 13:15:06 +0000 /?p=202715 We鈥檙e excited to announce that TrustRadius, a leading , has recognized 麻豆原创 data and analytics solutions with multiple Winter 2023 “Best Of” awards.

TrustRadius shares unbiased reviews from authenticated users across a variety of industries and identifies the top-performing products. The Winter 2023 Best Of awards highlight solutions that have earned outstanding customer feedback regarding their features, price, and support.

麻豆原创 data and analytics solutions maximize the value within all data for the most impactful decisions. We view this recognition from TrustRadius as a testament of our mission to give data purpose, connect business processes, and accelerate innovation.

We鈥檙e honored that our data and analytics solutions have been recognized with the following awards:

  • : Best Feature Set, Best Value for Price, and Best Relationship in the Relational Databases category
  • : Best Feature Set, Best Value for Price, and Best Relationship in the Cloud Data Warehouse category
  • : Best Feature Set, Best Value for Price, and Best Relationship in the Master Data Management category
  • : Best Feature Set, Best Value for Price, and Best Relationship in the Data Fabric category

Modernize the Data Foundation with 麻豆原创 HANA Cloud

is a modern database as a service powering the next generation of intelligent data applications and analytics across all enterprise data. It empowers users to build data solutions with cloud-native scalability, speed, and performance.

Megan Headley, vice president of Research at TrustRadius, noted, 鈥淩eviewers on TrustRadius appreciate 麻豆原创 HANA Cloud鈥檚 low administrative overhead, speedy data processing, and ease of use for new users.鈥

One TrustRadius reviewer noted, 鈥淚t鈥檚 great to run mission-critical operations in real time from anywhere, introduce new business models within the industry, and expand globally with a trusted partner.鈥 They also mentioned that it 鈥渞educes the complexity of multi-cloud or hybrid system landscapes鈥 and that the support is 鈥渁lways great.鈥 Read the for more.

Make Data Meaningful with 麻豆原创 Data Warehouse Cloud

goes beyond traditional data warehousing to provide a multi-cloud, multisource business semantic service for enterprise analytics and planning. This software as a service helps users to better understand business data and make decisions based on real-time information.

鈥淏uyers have a wide range of cloud data warehouse products to choose from,鈥 said Headley. 鈥淥n TrustRadius, reviewers highlight 麻豆原创 Data Warehouse Cloud鈥檚 no-code data modeling tools and no-ETL connections to data sources.鈥

In a recent evaluation, one TrustRadius reviewer called it 鈥渢he future of cloud data warehousing.鈥 They went on to say that 鈥渆nd users have way more flexibility in making changes to the models without interference from IT鈥 and that 麻豆原创 Data Warehouse Cloud 鈥渋s the first tool [they鈥檝e] seen that can easily facilitate self-service data warehousing from a business user point of view.鈥 Find out more in the .

Manage Data Centrally with 麻豆原创 Master Data Governance

A unified, trusted view of a business allows for working more efficiently and making better decisions. The application helps pull together master data and manage it centrally using a master data management layer based on (麻豆原创 BTP).

鈥淩eviewers of 麻豆原创 Master Data Governance on TrustRadius appreciate the product鈥檚 impact on their data integrity and robust auditing capabilities,鈥 said Headley.

A TrustRadius reviewer mentioned, saying 鈥渢his program is just intuitive鈥 and it 鈥渟hortened the time to bring a solution to the client.鈥 The customer is 鈥渁ble to maintain [their] master data without the worry of having a duplicate moving in from another system or being created downstream.鈥 For more information, read the .

Integrate Data Across the IT Landscape with 麻豆原创 Data Intelligence Cloud

is a comprehensive data management solution supporting data fabric implementations. As the data orchestration layer of 麻豆原创 BTP, it transforms distributed data sprawls into vital data insights, supporting innovation and business growth.

Headley stated that 鈥渞eviewers on TrustRadius highlight 麻豆原创 Data Intelligence鈥檚 self-service data catalog, data lineage tools, and data integration capabilities.”

鈥溌槎乖 Data Intelligence suits all business scenarios that encompasses data,鈥 noted one TrustRadius reviewer. 鈥淚t simplifies exploration, enticement, modeling and visualization of data.鈥 The reviewer also mentioned that it helps them 鈥渋ntegrate data from flat files and external applications, process, and manage it in one spot.鈥 Learn more in the .

Give Data Purpose with 麻豆原创 Data and Analytics Solutions

Data and analytics are at the core of enterprise decision-making. 麻豆原创 data and analytics solutions bring together data warehousing, management, and integration to deliver trusted insights on a modern, open cloud architecture. These solutions empower users to retain the full perspective of their 麻豆原创 data and facilitate seamless integration with their business processes.

To us, this recognition from TrustRadius represents the voice of our customers. We鈥檙e proud that our products have inspired such gracious feedback in the user community, and we thank our passionate data and analytics customers for their support.

To learn more, visit the .


Daniel Yu is senior vice president of Solution Management and Product Marketing for 麻豆原创 Data and Analytics at 麻豆原创.

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麻豆原创 Recognized as a Leader in 2022 Gartner庐 Magic Quadrant™ for Data Integration Tools /2022/08/2022-gartner-magic-quadrant-for-data-integration-tools-sap-a-leader/ Tue, 23 Aug 2022 13:15:46 +0000 /?p=198870 We are proud to announce that Gartner has recognized 麻豆原创 as a Leader in its 2022 for the 15th consecutive year.

Today, data has become an engine of value creation. Organizations are forging new data strategies to derive meaningful insights and accelerate their innovation. Yet, many organizations struggle to derive value because their data is siloed across heterogeneous and distributed environments.

By leveraging the right data integration tools, organizations can easily discover, connect, integrate, govern, and orchestrate their data assets. 麻豆原创鈥檚 data integration offerings deliver trusted, relevant, and timely information to drive better business outcomes for our customers. Our solutions include , , , , and integration capabilities of the . These offerings are part of (麻豆原创 BTP).

2022 Magic Quadrant for Data Integration Tools
Click to enlarge

Gartner evaluated 18 vendors and named 麻豆原创 a Leader based on our 鈥渁bility to execute鈥 and 鈥渃ompleteness of vision.鈥 We believe this recognition serves as acknowledgment of 麻豆原创鈥檚 continued commitment to providing our customers with world-class data integration tools.

Turn Data Chaos into Data Value

Data integration is necessary for customers to gain intelligent, relevant, and contextual insights for better decision-making. However, without the right data management approach and technology, companies can face an uphill battle in integrating, processing, curating, governing, and augmenting their data.

麻豆原创鈥檚 vision is a data fabric approach, which enables organizations to orchestrate highly distributed data, metadata, and processes while delivering data quality, security, and automation at speed.

, the data fabric layer of 麻豆原创 BTP, is a powerful solution that transforms distributed data sprawls into vital data insights. This technology combines data discovery, data preparation, data integration, data processing, and data connection across multiple endpoints and workflows.

麻豆原创 Data Intelligence Cloud helps customers:

  • Integrate and orchestrate massive data volumes and streams at scale
  • Streamline, operationalize, and govern innovation driven by machine learning
  • Optimize governance and minimize compliance risk with comprehensive metadata management rules

Since the launch of 麻豆原创 Data Intelligence Cloud, we have seen tremendous growth of customers innovating with this technology. For example, Jesse Slocum, cloud engineer at , describes using 麻豆原创 Data Intelligence Cloud as 鈥渢he most robust data fabric solution that connects, manages, and analyzes large amounts of data unlike other tools.鈥 Comparatively, he goes on to say, other tools 鈥渙nly analyze small amounts of data, [and] fail to integrate with a wide range of cloud and on-premise applications.鈥

Next Steps

For over 15 years, 麻豆原创鈥檚 data integration tools have enabled customers to turn disjoined data assets into actionable business insights at scale. If you鈥檙e ready to unlock the full potential of your data, take the next step with the following resources:

  • Visit the
  • Get started at
  • Read the 2022

JG Chirapurath is chief marketing and solutions officer for 麻豆原创 Business Technology Platform.

Gartner, Magic Quadrant for Data Integration Tools, Ehtisham Zaidi, Sharat Menon, Robert Thanaraj, Nina Showell, 17 August 2022
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner鈥檚 Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is .

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