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SAP Data Intelligence

SAP Data Intelligence

Overview

What is SAP Data Intelligence?

SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of…

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Recent Reviews

SAP Data Intelligence

8 out of 10
March 21, 2024
Incentivized
We have BW/HANA for Enterprise Finance data hub. We source data from multiple sources into this data hub. We build reports on top of this …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Product Details

What is SAP Data Intelligence?

SAP Data Intelligence aims to transform distributed data sprawls into vital data insights, to deliver innovation at scale. It is a data management solution that connects, discovers, enriches, and orchestrates disjointed data assets into actionable business insights at enterprise scale. It enables the creation of data warehouses from heterogeneous enterprise data, management of IoT data streams, and facilitates scalable machine learning.

SAP Data Intelligence aims to allow users to leverage business applications to become an intelligent enterprise and provides a holistic, unified way to manage, integrate, and process all your enterprise data.

With SAP Data Intelligence users can:

1. Discover and connect to any data, anywhere, anytime from a single enterprise data fabric

2. Transform and augment data across complex data types and curate a robust searchable data catalog

3. Implement intelligent data processes by orchestrating complex data flows enriched with scalable, repeatable, production grade machine learning pipelines


SAP offers an overview video, a product trial, and also allows readers to explore business use cases for SAP Data Intelligence.

SAP Data Intelligence Features

  • Supported: Data catalog
  • Supported: Data pipelines
  • Supported: Operationalize machine learning
  • Supported: Data Profiling
  • Supported: Self-service data preparation
  • Supported: Monitor data processes
  • Supported: Business glossary
  • Supported: Business rules
  • Supported: Data Quality
  • Supported: Data integration
  • Supported: Data orchestration
  • Supported: Python, R, Go, and other open source operators
  • Supported: Native operators for SAP solutions

SAP Data Intelligence Screenshots

Screenshot of Business GlossaryScreenshot of Example of data quality operatorsScreenshot of Data profiling fact sheetScreenshot of SAP Data Intelligence Jupyter lab notebook for machine learningScreenshot of SAP Data Intelligence data pipeline using PythonScreenshot of SAP Data Intelligence example ata quality dashboardScreenshot of SAP Data Intelligence connectionsScreenshot of SAP Data Intelligence Metadata ExplorerScreenshot of SAP Data Intelligence Example of Table Consumer Pipeline

SAP Data Intelligence Videos

SAP Data Intelligence Integrations

SAP Data Intelligence Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsKubernetes & Docker
Mobile ApplicationNo
Supported CountriesGlobal

Frequently Asked Questions

SAP Data Intelligence is presented by the vendor as a single solution to innovate with data. It provides data-driven innovation in the cloud, on premise, and through BYOL deployments. It is described by the vendor as the new evolution of the company's data orchestration and management solution running on Kubernetes, released by SAP in 2017 to deal with big data and complex data orchestration working across distributed landscapes and processing engine.

Reviewers rate Usability and Support Rating highest, with a score of 7.1.

The most common users of SAP Data Intelligence are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(99)

Attribute Ratings

Reviews

(1-25 of 54)
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March 21, 2024

SAP Data Intelligence

Score 8 out of 10
Vetted Review
Verified User
Incentivized
We have BW/HANA for Enterprise Finance data hub. We source data from multiple sources into this data hub. We build reports on top of this data hub to support Financial management reports as well as Financial Close consolidation for external reporting. We also expose Finance data to external interfaces for different use cases.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
SAP data intelligence was implemented on clients databases and warehouse to provide advanced analytics solutions which helped them in data storing, enrichment, data manipulation and dashboarding. The limitations which they faced earlier while handling large chunk of data were eliminated when they moved to SAP. Client loved the platform when they implemented SAP data intelligence
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use SAP Data Intelligence to build data pipelines to streamline the processes of data cleaning and transformation which further helps to identify key insights and create dashboards. It helps us to easy consolidate data from varied sources and automate data processes which further helps us to easy deploy ML models in order to get data-driven solutions for specific usecases.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
In my experience, SAP Data Intelligence simplifies the process of bolstering data-sharing, pipelineing, and governance in a networked environment. I think the supply chain and logistics industries may benefit form SAP Data Intelligence. It has enormous potential for waste minimization.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Business Need: Need for near real time data for analytics purposes to enable quicker decision making. How SAP Data Intelligence is used: Data Intelligence tool is used to source SAP transactional and other SAP data to our Data lake. Benefits by using SAP Data Intelligence tool; Potentially reduce the number of Data hops and Redundant effort with an efficient platform. Help reduce data latency for enabling near real-time analytics. Ensure the solution can support Agile DevOps framework to help improve the capability to provide the metadata to the global data catalog tools such as Collibra.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
SAP Data Intelligence is powerful software with good and simple interface, SAP Data Intelligence has improved all our business processes with its data visualization and data transformation capabilities.It is also useful in managing metadata, including data analysis, data facts, business rules, and business guidelines.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
This SAP's Data Intelligence software tool is used for the implementation of for data integration (based on ETL and ELT processes) with defined scope of functionalities and capabilities provided. Moreover, it provides great integration with other SAP products such as SAP 4HANA. We utilize it in conjunction with AWS and Microsoft Azure tools.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use SAP Data Intelligence to centralize all of our website/ecomm metrics and data. It is excellent for analyzing and creating dashboards for our BUs to digest and understand the data. The tight integration with the Office suite makes it possible to export dashboards to Powerpoint Presentation, as well as PDFs (which are especially useful for sharing date)
Holger Zecha | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
SAP Data Intelligence validation on NetApp storage technology in compination with RedHat OpenShift and SUESE Rancher Kubernetes Cluster. Validation was done for all NetApp solutions which are supported from NetApp Trident and are able to provide iSCSI LUNs. Goal of the validation has been, to enable NetApp customers a seamless usage of NetApp storage for mixed SAP workloads.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
The main purpose of the usage of SAP DI in our platform is to have the Lineage end-to-end from Reporting to Source origins, building Data Catalog for users to enable self-service analytics for Exploration and Discovery, Data Quality assessments and take effective decisions.
Bas Raayman | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Incentivized
We use SAP Data Intelligence for analysis of marketing campaigns and for certification purposes. The certification purposes are internal only, but marketing campaign data can be modeled quite effectively leveraging SAP Data Intelligence.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We used to work on a Data Lake for a huge organisation where we needed to make sense out of the unclean data and then also had to make reports out of the same. SAP Data Intelligence helped in the same. When it came to making detailed trend analysis report, we had made use of the same the most.
Score 8 out of 10
Vetted Review
Verified User
Scenario:
Landscape Transformation from Oracle to SAP S/4 HANA.
SAP Migration Cockpit used for Data Migration.
Used Staging Table approach to Migrate the data and create the relevant data in the Target S/4 HANA System.
SAP Data Intelligence was used to bring data from the source system to SAP Migration Cockpit.
The data was extracted from the Oracle Database in the Source by creating SAP Data Intelligence Pipelines or Graphs and then updated in the Staging Table for the corresponding Migration Objects in the SAP Migration Cockpit.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
SAP DI has been one of the most important tool in defining the data pipeline and data management. It has very amazing support for a wide set of incoming sources. It lets us discover data on the go and has a IoT capabilities for mobile support. It lets us transform and augment data that is ready to used in various BI tools and ML models.
mitchelle carter | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
We have engaged SAP Data Intelligence for the analysis of data from different sources. We use it in all aspects of the business through the cloud and on-premise connection. It has improved the discovery and connection of our structured and unstructured data. We use SAP for data visualization, monitoring, and metadata processing data integration improving our data analytics preparations. It offers analytics providing insights into our data; improving our operational workflows.
July 21, 2022

SAP Review

Score 9 out of 10
Vetted Review
Verified User
Incentivized
We are going through the implementation of SAP in our company. We are part of a global company Sigma based in Mexico. Our Bar-S division is moving all our reporting over to SAP BW/BI and we are in the middle of going through reviewing what environment we want as we move to SAP as we are currently working with BW on-premises. We will move next year to S4/Hana and BW4/Hana. Currently, we are on BW on Hana. Hopping the new technology and new product helps us with efficiency and productivity in making well informed decision.
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