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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

SAP Data Intelligence Platform - A concise Review

Rating: 8 out of 10
January 2, 2024
IncentivizedVetted ReviewVerified User
SAP data intelligence was implemented on clients databases and warehouse to provide advanced analytics solutions which helped them in data storing, enrichment, data manipulati...
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Verified user
Analyst
SAP Data Intelligence1 year of experience

SAP Data Intelligence Feedback

Rating: 6 out of 10
November 16, 2023
IncentivizedVetted ReviewVerified User
This product is mainly used for Event processing and requires additional capabilities on how this product helps on Event Mesh and Data Mesh solutions, especially how this is u...
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Srini Ganapathiraju
Manager - Finance and Accounting
Engineering Manager
INGKA Services LLP
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)

Multi-Source machine learning done well.

Rating: 9 out of 10
Incentivized
December 08, 2020
BW
Ben Williams
Data Analyst
Admiral Group plc (Financial Services, 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 has been used specifically within my department as a means of predicting certain costs of a claim. This has been an on-going project taking data from an OCR engine which reads incoming documents passing details to a variety of databases and SAP in order to predict those claims as possibly fraudulent claims or high value claims and pass this information to different departments via report for them to "keep an eye on."
Pros
  • Easy to pick up.
  • Tools for data cleansing.
  • Able to use existing learning models from the business.
  • Operates on cloud.
Cons
  • Not made for working with others.
  • Debugging is needlessly complicated and obfuscates issues.
  • Documentation could use more examples to highlight points.
Likelihood to Recommend
SAP DI has proved useful to us with its ability to pull from a variety of data sources and is well suited to this. It is also more than capable of cleansing out data without a great deal of issues. It is well suited to running a variety of different ML models including the use of python and R. It is not so well suited to large masses of data and can do with more support around complex ML models.

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.

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 - Jouney towards contact less maintainence

Rating: 9 out of 10
Incentivized
December 04, 2020
Verified User
Manager in Professional Services
Machinery Company, 10,001+ employees
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
Use Cases and Deployment Scope
We used SAP Data Intelligence to build Intelligent Asset Maintenance solution. In this current pandemic situation , clients are more focusing towards contact-less manufacturing and maintenance. We built a solution to enable machine failure prediction , anomaly detection in machine performance to proactively maintain the machine. We utilize Data orchestration and machine learning component of SAP Data intelligence product to build this solution.
Pros
  • Data orchestration from multiple data sources
  • Machine learning capabilities
  • Containerize architecture to run on hybrid cloud
Cons
  • Scaling requirement to handle large data
  • Limited in-build machine learning features
  • Need more stable product
Likelihood to Recommend
SAP Data intelligence is very well suited in scenarios , where we need to harmonize and integrate data from multiple data sources , run machine learning algorithm, out put the data for advance analytics purpose . It still needs improvement to handle large volume of data and complex machine learning algorithm.

Intelligent data with SAP Data Intelligence

Rating: 10 out of 10
Incentivized
December 14, 2021
SU
Sherman Urrutia
Chapter Member
Startup Grind (Events Services, 11-50 employees)
Vetted Review
Verified User
SAP Data Intelligence
5 years of experience
Use Cases and Deployment Scope
Hav]ing used SAP Data Intelligence for 4 before coming to Harvest that I've continued to support other users for another year after advising for its installation, it's been widely used across departments like marketing, mostly to gather responsive departmental data easily.
Pros
  • Processing of data has been so convenient thanks to SAP Data Intelligence.
  • Convenient to use as comes with in built learning machine.
  • Manages and stores a wide variety of data even raw.
Cons
  • None that I can talk of.
Likelihood to Recommend
Really works fine on analyzing of data and processing which have been of really great help since I was at my first company.
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