TrustRadius Insights for SAP Data Intelligence are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Performance and Scalability: Users have praised the tool for its exceptional performance and scalability which allow them to efficiently track daily expenses and gain valuable business insights.
Comprehensive Capabilities: Reviewers appreciated the tool's comprehensive capabilities in data warehousing, integration, and ETL transformation. They found features like data extraction, evaluation, event processing, workflow automation, machine learning deployment, and data visualization to be highly beneficial.
Integration and Compatibility: The tool received positive feedback for its wide range of add-ons compatibility, low code pipeline build, API capabilities, and seamless integration with third-party tools. Users found it helpful for connecting data across departments to create integrated dashboards easily.
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.
Pros
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.
Cons
Reports needs to be more customizable when using filters.
Likelihood to Recommend
We are looking for a solution that will help us analyze data from different sources. We hope the solution will help us make a decision based on the analysis of the data. If your statement problem is similar to this, SAP DI is for you.
VU
Verified User
Analyst in Engineering (Computer Software company, 51-200 employees)
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.
Pros
Training Datasets
Machine Learning
BI reporting
Data Classification
Cons
UI
User experience
Feasibility
Likelihood to Recommend
When you’re working with huge datasets or in our case when we were working with data from a Data Lake we had data coming in from multiple sources and SAP was used to do transformations on the Staging Data, it particularly helped us in this scenario and to make very thorough reports once Trend Analysis was done was one such amazing feature.
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.
Pros
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.
Cons
Updates to the user interface are required.
The cost of a plan membership is pretty expensive.
Likelihood to Recommend
SAP Data Intelligence enables the search and analysis of data from a variety of sources, which is critical for making choices based on these analyses.
Alternatives
Reveal, Socure and Introhive
One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.
We are implementing SAP DI for large customers to manage their ML ecosystem. The DI system will be used for hosting homegrown models and also building newer ones from scratch. We are connecting SAP and Non SAP systems to DI. Inferences from DI would be used to support key business decisions.
Pros
Data orchestration from diverse sources.
Good inbuilt support to develop models (Jupyter Notebook).
Data pipelines, container architecture for deployment.
Tools for data cleansing.
Ability to port existing ML models into DI.
Cons
Product support documentation and blogs can be better.
Debugging can take a bit of time to understand and pinpoint issues.
Can be pricey.
Likelihood to Recommend
Customers who have SAP S/4HANA/Business suite should definitely look to try DI for widespread adoption of ML in their business processes. The product is fairly stocked with features and typical of SAP, features are upgraded very frequently making it more stable and functionality rich. Support for connecting non SAP products and other systems like IOT is also very useful to blend in diverse sources of data.
VU
Verified User
Strategist in Information Technology (Computer Software company, 10,001+ employees)