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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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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

(1-5 of 55)

Automate your data discovery and governance with SAP Data Intelligence.

Rating: 8 out of 10
August 23, 2022
mc
Vetted Review
Verified User
SAP Data Intelligence
3 years of experience
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.
  • Easy access to all data sources.
  • Data integration with data pipelines
  • Analytics drive useful insights on the data.
  • Connection with several data sources.
Cons
  • Filter application on reporting.
  • Integration with products other than SAP is limited.
SAP Data Intelligence is helpful for unification of data from diverse sources permitting extended access to data. It ensures that we can effectively integrate data through its seamless connection with SAP as well as with with a few systems outside the SAP landscape. It has made our data discovery and analytics much easier via the dynamic self service analytics it offers.

Want end to end governance - go with sap di

Rating: 9 out of 10
November 25, 2020
Vetted Review
Verified User
SAP Data Intelligence
2 years of experience
We have used the SAP Data Intelligence as an end to end tool for both data orchestration and for ML scenario manager which helped with multiple AI/ML scenarios deployed. It’s all of it packaged in one go....
  • Data orchestration
  • AI/ML scenarios and pipelines
  • Data cleansing
Cons
  • Deployment
  • Integration with R and other external services
  • Connectivity with pdms and other sap iot services
For any one looking for a comprehensive tool to provide end to end orchestration and AI/ML scenarios.

Intelligent data with SAP Data Intelligence

Rating: 10 out of 10
December 14, 2021
SU
Vetted Review
Verified User
SAP Data Intelligence
5 years of experience
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.
  • 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.
Really works fine on analyzing of data and processing which have been of really great help since I was at my first company.

Intelligent Data with SAP Data Intelligence

Rating: 8 out of 10
September 29, 2022
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
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.
  • Simplified design techniques available to create integration using pipelines.
  • Extensive possibilities of data integration by using various operators provided.
  • Data Lake provided, which can be a good option to be used as a staging area.
Cons
  • Link to ABAP system can be improved.
  • Debug option can be further simplified or made more user friendly.
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.

Data Intelligence is the perfect tool to be used in such scenarios where source is a non SAP System.

Data Intelligence as Data Integration Platform

Rating: 7 out of 10
October 22, 2020
AK
Vetted Review
Verified User
SAP Data Intelligence
1 year of experience
We are currently conducting a feasibility study to which extent DI is a candidate for a company wide data integration platform. The current focus is seamless and simple data source integration in SAP and non-SAP environments. After extraction relevant data is stored on a DI based data lake for consumption of analytics and reporting applications. Data lakes are kept up to date by real time delta updates from the sources.
  • Integration with SAP sources
  • Real time source data access
  • State of the art UI and tooling
Cons
  • Enterprise readiness features
  • Overall solution stability
  • Reusables for data lake management
  • More detailed monitoring layers for external access
It draws its strength by being part of the SAP ecosystem. Easy integration with SAP sources of all kinds without a lot of custom development or the need for additional adapters. It has some room for improvement in case it’s used for data integration. While the procurement of data is quite extensive, the provision of data to consumers can still be improved.
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