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.
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SAP Data Intelligence Reviews
6 Reviews
Small Businesses (1-50 employees)
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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.
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.
Pros
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.
Likelihood to Recommend
Really works fine on analyzing of data and processing which have been of really great help since I was at my first company.
It is application software that is used in different parts of the company. We use the information received from different departments for special occasions, for example, whether research for outdoor seminars or sales department use database information for marketing and type of advertising in different geographical areas, as well as product pricing and various business campaigns, are important and effective for our company. Data analysis is a time-consuming and tedious task in which the SAP data intelligence platform is super smart. It saves us time and makes database information 100% usable in no time.
Pros
Import data from all sources
Ability to receive information from SAP or non-SAP
Modular Cloud-based Serverless Smart Architecture
Cons
Data Transfer must be faster and need smart wizard
Data Merge features needs more development
Likelihood to Recommend
Different departments that are active in the company can understand each other with a single software and work together on a subject in a specialized way and draw conclusions. The data scientist can coordinate items and data for a project with the person in charge, making it easy for the IT engineer.
We use this platform for our customers who manage a lot of data and need to integrate different data and process data quickly. Everything is done under the cloud and quickly. The complexity of big data and access to the information needed in a short time is crucial, as is security and speed for us and our customers. This is an all-in-one platform. Complex content and data management is possible through the SAP intelligent platform. It is the most important part of serverless and can process information quickly via Cloud. You are not alone with the Artificial Intelligence of SAP Data Intelligence; you can manage all part of your business. Connecting to all data sources and it automatically indexes all data assets.
Pros
Powerful and very fast in processing big data under secure cloud servers
Merging and refining and easy transformation data.
Cons
Machine Learning performs very well but can still grow and deliver better results with the help of artificial intelligence
It is still a fledgling platform that can grow well. I expect better and more professional integrations on this platform.
Likelihood to Recommend
Complex content and data management is possible through the SAP intelligent platform. It is the most important part of serverless and can process information quickly via Cloud. You are not alone with the Artificial Intelligence of SAP Data Intelligence; you can manage all parts of your business. Connecting to all data sources and automatically indexes all data assets.
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.
Pros
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.
Cons
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.
Likelihood to Recommend
SAP Data Intelligence is suitable for large scale commercial machine learning applications where hundreds or thousands of similar but unique processes must be independently monitored, for scenarios that must run automatically and repeatedly without data scientist involvement, and for scenarios where data is continuously collected. It is less appropriate for specialized data science projects with a fixed data set that will not be repeated.
