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…
It's all about the UI
SAP Data Intelligence Tool Review
SAP Data Intelligence Platform - A concise Review
SAP Data Intelligence Feedback
SAP Data Intelligence - high level review
SAP Data Intelligence Review
Driven Data Intelligence with SAP Data Intelligence
SAP Data Intelligence's analytics have a leg up on the competition.
SAP Data Intelligence tool leveraged to unleash SAP data for advanced analytics
SAP gives edge over traditional analytics
The future of data management
SAP Data Intelligence makes us intelligent
SAP Data Intelligence: family of SAP for the help
SAP Data Intelligence is One of the Most Powerful and Comprehensive Suites Out There
Awards
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Reviewer Pros & Cons
Product Details
- About
- Integrations
- 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
Comparisons
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Reviews and Ratings
(98)Attribute Ratings
Reviews
(1-25 of 54)SAP Data Intelligence
- Performance
- Scalability
- External consumption (openness)
- User friendly SQL Explain plans missing
It's all about the UI
- 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
SAP Data Intelligence Tool Review
- ETL
- Error logs
- Very general errors
SAP Data Intelligence Platform - A concise Review
- Data Warehousing
- Data Enrichment
- Data Integration
- ETL Transformation
- Pricing
- Increase Integrations with databases
- Data lake configuration
SAP Data Intelligence Feedback
- Event Processing
- Standardization of transformation solution
SAP Data Intelligence - high level review
- Data extraction
- Data rambling
- Data evaluation
- Integration to external data lakes
SAP Data Intelligence Review
- overview
- cennetivity
Driven Data Intelligence with SAP Data Intelligence
- 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
Further, deploying ML models with ease is a plus. Also, its multiple language support ( Python, R etc) helps user to easy write code.
SAP Data Intelligence's analytics have a leg up on the competition.
- 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.
- 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
I have not used the tool's AI/ML features, so unable to comment on it.
SAP gives edge over traditional analytics
- 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.
The future of data management
- Transform insights into action
- Data transformation
SAP Data Intelligence makes us intelligent
- Structured
- Fast
- Flexible
SAP Data Intelligence: family of SAP for the help
- 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
SAP Data Intelligence is One of the Most Powerful and Comprehensive Suites Out There
- 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)
When datasets are extremely large, SAP Data Intelligence can still be used, but it should be noted that it can become very slow and more difficult to use.
SAP Data Intelligence 3 on-premises
- 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
Business Self-Service Analytics for Data Discovery and Verification
- 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
#SAPTechED_BTP
There could be the possibility to discover the existing into e-comm.
- Metrics work
SAP Data Intelligence
- 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.
SAP Data Intelligence 3 on-premises
- Import of different data sources
- Combining information
- The installation process can be quite error prone
- Requires extensive training to be implemented effectively
An all-rounder solution, works well with the Azure ecosystem
- Training Datasets
- Machine Learning
- BI reporting
- Data Classification
- UI
- User experience
- Feasibility
Intelligent Data with SAP Data Intelligence
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.
Data Intelligence is the perfect tool to be used in such scenarios where source is a non SAP System.
One of the best data intelligence tool for SAP products.
- 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
- 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.
SAP Review
- We are in the middle of assessing the product.
- None at the moment.