SAP Data Intelligence
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 …
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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- Tech Details
- FAQs
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
SAP Data Intelligence Videos
SAP Data Intelligence Integrations
- Oracle Database
- Alibaba Cloud Object Storage Service (OSS)
- SAP Business Warehouse
- SAP Information Steward
- SAP Integration Suite
- SAP Data Services
- SAP IQ
- Open Source such as Python, R, Go, NodeJS, Apache Kafka, etc.
- Google BigQuery, GCS, Pub/Sub, etc
- Microsoft Azure Cloud SQL Database, Data Lake, etc
- Amazon S3 (Simple Storage Service), Redshift, etc.
- SAP such as SAP HANA and SAP Business Technology Platform, SAP ABAP, SAP Cloud Applications
- SAP HANA Machine Learning
- SAP System Landscape Transformaiton
- etc
- Microsoft Azure Data Lake Store
- Azure Storage Blob
- Google Pub Sub
- BigQuery
- Cloud Dataproc cluster
- Amazone Redshift
- SNS
- S3
- IBM DB2
- HTTP
- IMAPm SFTP
- SMTP
- Rserve
SAP Data Intelligence Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Kubernetes & Docker |
| Mobile Application | No |
| Supported Countries | Global |
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 Support Rating highest, with a score of 7.2.
The most common users of SAP Data Intelligence are from Enterprises (1,001+ employees).
Comparisons
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Reviews and Ratings
(98)Attribute Ratings
Reviews
(1-25 of 54)Companies can't remove reviews or game the system. Here's why
March 21, 2024
SAP Data Intelligence
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.
- Performance
- Scalability
- External consumption (openness)
- User friendly SQL Explain plans missing
March 21, 2024
It's all about the UI
To make informed decisions quickly and data that may evolve. Lastly to determine where the company should spend its time.
- Nice Graphics
- Many Different Products - SAC, BOBJ HANA with AO
- SAP has historically built products which are not easy to use
- UI is lacking
- I want it to be like an App on my phone and not take a manual to figure out
March 21, 2024
SAP Data Intelligence Tool Review
Replication from S4 to AWS S3 then to RDS instance
- ETL
- Error logs
- Very general errors
January 02, 2024
SAP Data Intelligence Platform - A concise Review
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
- Data Warehousing
- Data Enrichment
- Data Integration
- ETL Transformation
- Pricing
- Increase Integrations with databases
- Data lake configuration
November 16, 2023
SAP Data Intelligence Feedback
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 useful to enable Data Product.
- Event Processing
- Standardization of transformation solution
November 15, 2023
SAP Data Intelligence - high level review
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.
- Data extraction
- Data rambling
- Data evaluation
- Integration to external data lakes
November 14, 2023
SAP Data Intelligence Review
Problem with cloud basis, because of a secure network, that can't work with cloud solutions
- overview
- cennetivity
October 25, 2023
Driven Data Intelligence with SAP Data Intelligence
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.
- Automate workflows
- Deploy Machine Learning Models
- Data Visualization
- Data Management and Monitoring
- Faced issues while testing our lower environments with new patches
- Installations process is quite complex, chances of mistakes are high
- Hard to perform operations on semi structured data
- Performance gets slow while handling large datasets
September 04, 2023
SAP Data Intelligence's analytics have a leg up on the competition.
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.
- Lessen the total processing time.
- Compatible with a wide variety of add-ons.
- Failures in a Kubernetes cluster might be difficult to diagnose.
- I think it's easy for mistakes to be made during installation.
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.
- Low Code pipeline build
- Replication of data from source systems to target
- API capability
- All environments are updated with latest notes and this impacts production systems without an opportunity to test our lower environments with new patches
- Faced quite a few issues with SAP Data Intelligence connectivity to SAP ECC and a considerable set of notes applied to both SLT and ECC to fix the issues
July 31, 2023
SAP gives edge over traditional analytics
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.
- SAP DI helps us connect data from individual departments and then use that data to create integrated dashboards.
- It provides features such as the ability to create pipelines for data integration and easy data manipulation.
- Reports needs to be more customizable when using filters.
March 24, 2023
The future of data management
As a consultant
- Transform insights into action
- Data transformation
March 23, 2023
SAP Data Intelligence makes us intelligent
Wen do have reports on finance and procurement
- Structured
- Fast
- Flexible
January 21, 2023
SAP Data Intelligence: family of SAP for the help
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.
- Good integration and data migration functionalities (from one DB cluster to another)
- provision and support of different level of data access (tabular format level, ETL layer level, ODP level)
- Reasonable pricing (pay-as-you-use strategy, without overhead cost implemented)
- High entry level of usage - for some users like me it is hard to get things performed without referring to the tech support and their documentation
- the management and control of the source code imposes the difficulties in terms of ease of usage - with complex projects this issue is critical and becomes a bottleneck for the further development processes implemented
- as easy it is to manipulate and perform operations on tabular data, as hard it is to work with non-relational database entities such as semi-structured documents and files
December 12, 2022
SAP Data Intelligence is One of the Most Powerful and Comprehensive Suites Out There
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)
- Integrates well with 3rd party tools
- Allows direct manipulation of external databases
- Allows synthesis and consolidation of data sources
- The tool can become slow when dealing with large datasets
- The tool can be overwhelming to learn because of its breadth of features and options
- Pricing can be tricky for multiple licenses (at least for us)
November 22, 2022
SAP Data Intelligence 3 on-premises
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.
- It runs in Kubernetes
- Easy deployment with Installer also running in Kubernetes
- Integration with S/3 compatible object storage on-prem and in public cloud
- In case of failures, identifying the errors in the Kubernetes cluster is a mess
- The certificate handling could be made easier to run SAP Data Intelligence with self signed certificates for non-prod environments
November 17, 2022
Business Self-Service Analytics for Data Discovery and Verification
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.
- Lineage at the object level
- Pipeline build for Data Integration
- Data Catalog for self-service analytics
- Lineage at attribute(column) level to help Impact Assessment (just like SAP Information Steward)
- Lineage on non-SAP sources could be a game changer, most of the companies fail in this area which will be an eye opener for customers like us.
- on Data Integration space, Provide Detailed Road Map on SAP DI compared to SAP Data Services(aka BODS) and SAP SDI
November 16, 2022
#SAPTechED_BTP
This is used for integration of the devices.
There could be the possibility to discover the existing into e-comm.
There could be the possibility to discover the existing into e-comm.
- Metrics work
November 16, 2022
SAP Data Intelligence
SAP Data Intelligence helps to streamline operations by addressing all data quality issues, and monitoring data quality by implementing business rules.
- Product Master Data Validation.
- Customer Master Data Validation.
- Vendor Master Data Validation.
- Data Intelligence has no out-of-the-box functionality to retrieve the classification data of suppliers.
- Data Intelligence has no out-of-the-box functionality to retrieve characteristics data of products.
- Implement data intelligence for missing pricing, standard cost, and one consolidated report for all master data.
November 15, 2022
SAP Data Intelligence 3 on-premises
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.
- Import of different data sources
- Combining information
- The installation process can be quite error prone
- Requires extensive training to be implemented effectively
November 03, 2022
An all-rounder solution, works well with the Azure ecosystem
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.
- Training Datasets
- Machine Learning
- BI reporting
- Data Classification
- UI
- User experience
- Feasibility
September 29, 2022
Intelligent Data with SAP Data Intelligence
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.
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.
- Link to ABAP system can be improved.
- Debug option can be further simplified or made more user friendly.
September 12, 2022
One of the best data intelligence tool for SAP products.
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.
- Data Pipline
- Data profiling
- Data orchestration
- Data integration
- No filter option for reporting
- There is less support for using non-SAP products
- Ease of configuration
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.
- Easy access to all data sources.
- Data integration with data pipelines
- Analytics drive useful insights on the data.
- Connection with several data sources.
- Filter application on reporting.
- Integration with products other than SAP is limited.
July 21, 2022
SAP Review
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.
- We are in the middle of assessing the product.
- None at the moment.