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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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Learn from top reviewers

Data Intelligence with SAP(Is it worth?)

Rating: 7 out of 10
October 3, 2024
Vetted ReviewVerified User
I use SAP Data Intelligence for Sending the Financials & Material inventory data from S/4H to Azure Data lake Should have the knowledge on the terminators and connectors.
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Kishore Challa
Manager - Information Technology
SAP Technical Manager
Syntax
SAP Data Intelligence2 years of experience

A great product from SAP for your data orchestration and data management needs

Rating: 9 out of 10
August 2, 2024
IncentivizedVetted ReviewVerified User
SAP Data Intelligence is helping us solve the following business problems. 1. Handle huge volumes of data coming from a variety of sources. 2. Orchestrate data pipelines wit...
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Verified user
Professional
SAP Data Intelligence2 years of experience

SAP Data Intelligence

Rating: 8 out of 10
March 21, 2024
IncentivizedVetted ReviewVerified User
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 managem...
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Verified user
Manager
SAP Data Intelligence3 years of experience

It's all about the UI

Rating: 5 out of 10
March 21, 2024
IncentivizedVetted ReviewVerified User
To make informed decisions quickly and data that may evolve. Lastly to determine where the company should spend its time.
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Verified user
Administrator
SAP Data Intelligence3 years of experience

SAP Data Intelligence Tool Review

Rating: 8 out of 10
March 21, 2024
IncentivizedVetted ReviewVerified User
Replication from S4 to AWS S3 then to RDS instance
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Verified user
Engineer
SAP Data Intelligence1 year of experience
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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

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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 highest, with a score of 8.

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

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Reviews From Top Reviewers

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(1-5 of 23)

SAP Data Intelligence - high level review

Rating: 9 out of 10
Incentivized
November 15, 2023
Verified User
Executive in Sales
Information Technology & Services Company, 501-1000 employees
Vetted Review
Verified User
SAP Data Intelligence
3 years of experience
Use Cases and Deployment Scope
We are advisors to our customers moving and adopting any SAP Service on Public Cloud. Currently, we are evaluating SAP Data Intelligence for a number of customers.
Pros
  • Data extraction
  • Data rambling
  • Data evaluation
Cons
  • Integration to external data lakes
Likelihood to Recommend
SAP is a strategic decision in the company and using SAP Data Intelligence becomes the natural choice. The integration of SAP solutions is and has always been the strength of SAP.

Increasing predication accuracy with SAP Data Intelligence

Rating: 9 out of 10
Incentivized
December 01, 2020
Verified User
Manager in Information Technology
Information Technology & Services Company, 5001-10,000 employees
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
Use Cases and Deployment Scope
SAP Data Intelligence is used for multiple use cases:
- Data is integrated from different source systems, which is then analysed first. After the analysis data is transformed and harmonized.
- Further, machine learning algorithms are modeled in SAP Data Intelligence and run on the data set.
- What is more, the SAP Data Intelligence environment interacts with different on premise systems and the results of the machine learning processes are sent back to the on premise systems.
Pros
  • Great machine learning capabilities
  • Many possibilities to connect source systems and interact with it
  • Operation on cloud reduces administration tasks to a minimum
  • Great Governance capabilities
Cons
  • Still fairly new product
Likelihood to Recommend
Well suited for connecting various source systems, especially SAP systems, to SAP Data Intelligence and work with the data. Many possibilities to use machine learning algorithms. Fully managed on cloud.

SAP Data Intelligence

Rating: 8 out of 10
Incentivized
March 21, 2024
Verified User
Manager in Information Technology
Health, Wellness and Fitness Company, 10,001+ employees
Vetted Review
Verified User
SAP Data Intelligence
3 years of experience
Use Cases and Deployment Scope
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.
Pros
  • Performance
  • Scalability
Cons
  • External consumption (openness)
  • User friendly SQL Explain plans missing
Likelihood to Recommend
It is scalable and performant. HANA Models can get quite complex to handle special situations.

SAP DI provides large scale machine learning for real world applications

Rating: 9 out of 10
Incentivized
December 10, 2020
DB
David Bertsche
Senior Data Scientist
Kaiserwetter Energy Asset Management (Oil & Energy, 11-50 employees)
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
View profile
Use Cases and Deployment Scope
We are an early adopter of [SAP] Data Intelligence (DI), for which we are pioneering use cases with SAP as a partner company. Our broad goals are to increase transparency and reduce risk for renewable energy investors. Specifically with with DI we can set up real time monitoring pipelines using Machine Learning models that continuously compare historic power generation asset performance with their current performance. This provides early under performance warnings to the owner/investor so they can take action to avoid excessive costs due to mechanical failures or other equipment down times.
Pros
  • It integrates well with our current ecosystem of SAP products, like HANA.
  • It provides end-to-end machine learning operations, with tools for the complete model life cycle.
  • It has a simple user interface for novice users, with complex tools also available for power users.
  • It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
  • It can run in the cloud, no on-premise software management needed.
  • Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
  • SAP is very actively developing and improving it.
Cons
  • The administration tools are still in development, currently SAP must be contacted for most admin tasks.
  • Updates sometimes introduce unwanted instabilities.
  • The documentation and examples use cases are still being written and need to be expanded.
Likelihood to Recommend
SAP Data Intelligence is suitable for large scale commercial machine learning applications where hundreds or thousands of similar but unique processes must be independently monitored, for scenarios that must run automatically and repeatedly without data scientist involvement, and for scenarios where data is continuously collected. It is less appropriate for specialized data science projects with a fixed data set that will not be repeated.

For data management

Rating: 9 out of 10
Incentivized
January 18, 2022
YS
Yeo Sueiro Lee
Lead Software Test Engineer
Shopee (Telecommunications, 5001-10,000 employees)
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
View profile
Use Cases and Deployment Scope
SAP Data Intelligence is effective because it offers helpful filters for managing data in a way that saves time and increases productivity. SAP Data Intelligence enables you to download filtered data into Microsoft Excel for further analysis. SAP Data Intelligence makes it simple to comprehend how data moves from one stage to the next.
Pros
  • SAP Data Information allows for the extraction and analysis of data and intelligence needed to improve the organization's and customers' services.
  • By applying filters to SAP Data Intelligence, you may create personalized reports.
Cons
  • Updates to the user interface are required.
  • The cost of a plan membership is pretty expensive.
Likelihood to Recommend
SAP Data Intelligence enables the search and analysis of data from a variety of sources, which is critical for making choices based on these analyses.
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