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…
Recent Reviews
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
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
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
Compare with
Reviews and Ratings
(98)Attribute Ratings
Reviews
(1-24 of 24)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
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
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
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.
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
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 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.
July 21, 2022
SAP Data Intelligence is great for those organizations requiring enterprise-grade data analytics
SAP Data Intelligence provides the capabilities to support data democratization within an organization, creating citizen developers and functional resources to leverage the critical data necessary to make data-driven decisions. SAP Data Intelligence brings self-service analytics to drive data insights that improve financial operations from the budget to accounting to the c-suite.
- Data democratization
- Data insights
- Machine learning
- Integrations outside the SAP product suite
- Ease of configuration
- End-User experience
May 10, 2022
SAP Data Intelligence Future ETL Tool
Not mature enough to handle SAP Data Migration. SAP removed the trial version from the Cloud appliance library. I believe this will be the future ETL tool for all SAP Data Migration, Integration & Warehousing Projects. SAP needs to have more attention & address all gaps rapidly.
- Data Quality Management
- Data Science Capability
- Data Orchestration
- SAP S/4HANA BAPI, IDOC, API Adapters
- ETL Components to perform complex transformation
- User Friendly, Drag & Drop functionality with no code
April 05, 2022
Your Open Data Source will benefit greatly from this.
ETL is the primary focus. Connections and validations between all sources of information. When it comes to large data management, SAP is a must-have. We were able to cut down on processing time and increase the output of our data team as a result.
- Additionally, you have the option of exporting your filtered data to Excel for additional analysis.
- AP As far as software goes, it's well-known and rock-solid.
- Has both on-premise and private cloud deployment options.
- Only a few posts a month.
- SAP offers free trials for other services, such as SAC, but not for SAP Data Intelligence, which does not have a free tier.
- Occasionally, it appears to be older software.
April 04, 2022
A powerful solution by SAP for data intelligence
SAP Data Intelligence helps us in providing nice data analytics with our data. Usually, we have extracted the data from multiple sources. We required day-to-day data analytics for our customers. This saves a lot of time and effort in providing the right and efficient data analytics and visualization of our data with minimal effort.
- Nice and centralized dashboard for monitoring the data and KPI's.
- The breadth of services provided.
- The consulting team provides the right approach of your data and how it is used for better data analytics.
- Overall product functionalities and product roadmap.
- Customer service and support.
- Improvement in efficiency to upload large volume of data.
- Addition of advanced visualizations such as charts, graphs, etc.
- Centralized and ad-hoc reports shall be improved.
- Data integration with other new and advanced source connectors shall be improved.
January 18, 2022
For data management
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.
- 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.
- Updates to the user interface are required.
- The cost of a plan membership is pretty expensive.
Managing our company database with SAP Data Intelligence is more effective. This tool is also reliable with data visualization and exploration. Enables ease of data cleansing.
- Easily store and manage data.
- Makes it simple to prepare data quickly.
- Data discovery and enrichment.
- Data warehousing.
- SAP Data Intelligence interface looks outdated and I would like to see more upgrades and improvements on this.
December 14, 2021
Intelligent data with SAP Data Intelligence
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.
- None that I can talk of.
November 09, 2021
My Experience with SAP Data Intelligence in Data Management and Integration Processes
I started using SAP Data Intelligence at Redflex before joining Verra Mobility to integrate data, manage company information and catalog data in real-life in a single centralized cloud solution. At Verra Mobility, we use SAP Data Intelligence on few selected company departments mainly, corporate, IT and Engineering.
- Data orchestration enhanced by SAP Data Intelligence enables to get high data value and analytics.
- Improved innovation by utilizing machine learning to transform data from prototype to deployment.
- Connect, integrate, and orchestrate data from multiple cloud and on-premises applications.
- Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.
July 03, 2021
SAP Data Intelligence offers large-scale artificial intelligence for use in practical applications.
Our overarching aim is to promote transparency and minimize risk for sustainable energy investors. Specifically, with Data Intelligence, we can set up legitimate surveillance pipelines that use Machine Learning models to continually compare previous power generating company value with present performance.
- It works nicely with our existing SAP environment, including HANA.
- It offers end-to-end deep learning procedures, as well as tools for the whole model lifespan.
- It includes a basic user experience for the average user, as well as advanced features for advanced users.
- The admin solutions are still in progress; for the time being, most administrative activities must be handled using SAP.
- The information and use group are currently being produced and need to be updated.
- Changes can occasionally cause unwelcome instability.
January 01, 2021
Experience The AI-Powered SAP Data Intelligence Tool
SAP BI/BODS, SAP LUMRIA, SAP CRYSTAL REPORTS
- AI-powered data extraction Software, Powered ML Engines that can transform your structured, unstructured, and streaming data into useful business insights.
- GPU support for inference on ML models for your one premise installation.** BYOM**
- The mode-option is for storage types that supports ADL or HDFS. Object stores such as S3 and SDL are not supported to append operation on storage level.
- It gives opportunity to utilize OCR, ICR, IDR technology to support the business needs
- Enhance ML capability between on-premise and cloud version.
- The capturing of pure voice records and voice forms similar to other businesses forms of communication such as (email, web forms, fax).
- Data integration services with other ML tools are more complex. Workflows could have been more simplified.
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.
- 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.
- 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.
December 04, 2020
SAP Data intelligence - Jouney towards contact less maintainence
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.
- Data orchestration from multiple data sources
- Machine learning capabilities
- Containerize architecture to run on hybrid cloud
- Scaling requirement to handle large data
- Limited in-build machine learning features
- Need more stable product
December 01, 2020
Increasing predication accuracy with SAP Data Intelligence
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.
- 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.
- 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
- Still fairly new product
November 29, 2020
Prediction Case with SAP Data Intelligence
SAP Data Intelligence was used within our team as part of a short-term project together with SAP. Data Intelligence is not used across the whole organization. For our use case, we used [SAP] Data Intelligence to predict the likelihood of a claim and then took this prediction as an input to the calculation of prices for different insurance offers.
- Easy handling even without prior experience
- Possibility to use Python and R libraries
- Debugging pipeline failures is not as easy and straightforward
- When working with SAP DI, new tabs get opened frequently when actions are performed. Having 10+ open tabs is not very handy