SAP Data Intelligence Professional, Scientific, and Technical Services Reviews & Insights

Score8.7 out of 10

99 Reviews and Ratings

Community insights

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 Reviews

23 Reviews

Professional, Scientific, and Technical ServicesInformation Technology & Services17Management Consulting2Marketing & Advertising1Design1Research1Computer & Network Security1

A great product from SAP for your data orchestration and data management needs

Rating: 9 out of 10

Incentivized

August 2, 2024

Use Cases and Deployment Scope

SAP Data Intelligence is helping us solve the following business problems.
1. Handle huge volumes of data coming from a variety of sources.
2. Orchestrate data pipelines with optimum governance around them
3. Helping in data management activities with its strong feature set on data profiling, data cataloging, etc.
4. Helping us prepare data for our AI/ML processes

Pros

Data pipeline orchestration capabilities
Data governance
Scalability

Cons

Like every SAP product, it is rigid with product strategy and hard to keep pace with advancements in technology
Integration with open-source technologies and the future road map is always a point of contention
Costs

Likelihood to Recommend

If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.

Verified User

Professional in Information Technology (Information Technology & Services company, 10,001+ employees)

Vetted Review

2 years of experience

SAP Data Intelligence Platform - A concise Review

Rating: 8 out of 10

Incentivized

January 2, 2024

Use Cases and Deployment Scope

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

Pros

Data Warehousing
Data Enrichment
Data Integration
ETL Transformation

Cons

Pricing
Increase Integrations with databases
Data lake configuration

Likelihood to Recommend

Big organisations can benefit a lot from SAP data intelligence platform. However, if you are a small firm with low employee count then the pricing makes it difficult to go with the platform. Big data firms can use this platforms end to end solution. The workflow is well suited for companies working with a large chunk of data

Verified User

Analyst in Information Technology (Management Consulting company, 201-500 employees)

Vetted Review

1 year of experience

SAP Data Intelligence - high level review

Rating: 9 out of 10

Incentivized

November 15, 2023

Use Cases and Deployment Scope

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.

Pros

Data extraction
Data rambling
Data evaluation

Cons

Integration to external data lakes

Likelihood to Recommend

SAP is a strategic decision in the company and using SAP Data Intelligence becomes the natural choice. The integration of SAP solutions is and has always been the strength of SAP.

Verified User

Executive in Sales (Information Technology & Services company, 501-1000 employees)

Vetted Review

3 years of experience

Driven Data Intelligence with SAP Data Intelligence

Rating: 9 out of 10

Incentivized

October 25, 2023

Use Cases and Deployment Scope

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.

Pros

Automate workflows
Deploy Machine Learning Models
Data Visualization
Data Management and Monitoring

Cons

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

Likelihood to Recommend

It is well suited to augment data from multiple resources (including APIs) and automate workflows. Dashboard helps in easy analyse and monitoring the key KPIs. However, advance visualization features are missing.
Further, deploying ML models with ease is a plus. Also, its multiple language support ( Python, R etc) helps user to easy write code.

Verified User

Analyst in Information Technology (Information Technology & Services company, 201-500 employees)

Vetted Review

2 years of experience

SAP Data Intelligence's analytics have a leg up on the competition.

Rating: 9 out of 10

Incentivized

September 4, 2023

Use Cases and Deployment Scope

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.

Pros

Lessen the total processing time.
Compatible with a wide variety of add-ons.

Cons

Failures in a Kubernetes cluster might be difficult to diagnose.
I think it's easy for mistakes to be made during installation.

Likelihood to Recommend

It helps our BUs analyze data and create dashboards they can understand. While slowing down with a large database, it becomes less helpful. In my experience, it is excellent in consolidating information from several sources for analysis, decision-making, and knowledge gaps. Excellent at managing information access.

Dan Rodriguez

Programmer Analyst in Information Technology at SDI Presence (Computer & Network Security, 501-1000 employees)

Vetted Review

3 years of experience

The future of data management

Rating: 9 out of 10

Incentivized

March 24, 2023

Use Cases and Deployment Scope

As a consultant

Pros

Transform insights into action

Cons

Data transformation

Likelihood to Recommend

Large scale business insights

Verified User

C-Level Executive in Corporate (Information Technology & Services company, 1-10 employees)

Vetted Review

5 years of experience

SAP Data Intelligence 3 on-premises

Rating: 8 out of 10

Incentivized

November 16, 2022

Use Cases and Deployment Scope

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.

Pros

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

Cons

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

Likelihood to Recommend

I just used Data Intelligence from in infrastructure point of view to validate NetApp storage for SAP Data Intelligence. Therefore I run only test scenarios which need to be run, to pass the SAP Data Intelligence validation. The scenarios need for passing the validation are just used to validate that the underlying infrastructure is fulfilling the SAP requirements.

Holger Zecha

Solutions Architect SAP in Sales at NetApp (Information Technology & Services, 10,001+ employees)

Vetted Review

3 years of experience

#SAPTechED_BTP

Rating: 9 out of 10

Incentivized

November 16, 2022

Use Cases and Deployment Scope

This is used for integration of the devices.
There could be the possibility to discover the existing into e-comm.

Pros

Metrics work

Likelihood to Recommend

This is suited for the exchange of communication between the renewal of the energy sources while decision has to make relying on to after the metrics collection.

Smriti Shikha

Software Engineer in Engineering at Citrix (Design, 10,001+ employees)

Vetted Review

View profile

SAP Data Intelligence 3 on-premises

Rating: 6 out of 10

Incentivized

November 15, 2022

Use Cases and Deployment Scope

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.

Pros

Import of different data sources
Combining information

Cons

The installation process can be quite error prone
Requires extensive training to be implemented effectively

Likelihood to Recommend

The best user experience when setting up SAP Data Intelligence is when leveraging the cloud experience. This makes setup easy, integration is doable depending on compliance and governance within the organization. Unfortunately this is less suitable for on premises installations, where setup into the environment can be quite time consuming.

Bas Raayman

Principal Solutions Architect in Engineering at Nutanix (Information Technology & Services, 5001-10,000 employees)

Vetted Review

2 years of experience

View profile

SAP Data Intelligence: family of SAP for the help

Rating: 9 out of 10

Incentivized

September 19, 2022

Use Cases and Deployment Scope

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.

Pros

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)

Cons

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

Likelihood to Recommend

In our projects we implement SAP Data intelligence software tool for the development and implementation of ETL pipelines, as well as currently migrating the Oracle database cluster to Postgre with the help of this tool. Moreover, as we are also using SAP 4HANA tool, it is easy for us to integrate already in use processes with this new data intelligence platform. Also, it provides good functionality in the integration processes with cloud services such as AWS and Microsoft Azure.

Sabit Shaiholla

Head Research Assistant in Engineering at Nazarbayev University JSC (Research, 1001-5000 employees)

Vetted Review

1 year of experience

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