SAP Data Intelligence Reviews and Ratings

Rating: 8.5 out of 10

Score

8.5 out of 10

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.

Reviews

55 Reviews

Data Intelligence with SAP(Is it worth?)

Rating: 7 out of 10

October 3, 2024

Use Cases and Deployment Scope

I use SAP Data Intelligence for Sending the Financials & Material inventory data from S/4H to Azure Data lake Should have the knowledge on the terminators and connectors.

Pros

Sending the data to Non-SAP Systems
Cleansing the data
Data Governance

Cons

Performance & scalability issues
Complexity
Documentation & tutorials
Limited connectors

Likelihood to Recommend

I recommend this product for if the use case is send only less volume of data across the systems

Kishore Challa

SAP Technical Manager in Information Technology at Syntax (1001-5000 employees)

Vetted Review

2 years of experience

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 (10,001+ employees)

Vetted Review

2 years of experience

SAP Data Intelligence

Rating: 8 out of 10

Incentivized

March 21, 2024

Use Cases and Deployment Scope

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.

Pros

Performance
Scalability

Cons

External consumption (openness)
User friendly SQL Explain plans missing

Likelihood to Recommend

It is scalable and performant. HANA Models can get quite complex to handle special situations.

Verified User

Manager in Information Technology (10,001+ employees)

Vetted Review

3 years of experience

It's all about the UI

Rating: 5 out of 10

Incentivized

March 21, 2024

Use Cases and Deployment Scope

To make informed decisions quickly and data that may evolve. Lastly to determine where the company should spend its time.

Pros

Nice Graphics
Many Different Products - SAC, BOBJ HANA with AO

Cons

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

Likelihood to Recommend

HANA is good with AO. But it could be improved.

Verified User

Administrator in Information Technology (5001-10,000 employees)

Vetted Review

3 years of experience

SAP Data Intelligence Tool Review

Rating: 8 out of 10

Incentivized

March 21, 2024

Use Cases and Deployment Scope

Replication from S4 to AWS S3 then to RDS instance

Pros

Cons

Error logs
Very general errors

Likelihood to Recommend

Replication from S4 to non-SAP architecture

Verified User

Engineer in Information Technology (5001-10,000 employees)

Vetted Review

1 year 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 (201-500 employees)

Vetted Review

1 year of experience

SAP Data Intelligence Feedback

Rating: 6 out of 10

Incentivized

November 16, 2023

Use Cases and Deployment Scope

This product is mainly used for Event processing and requires additional capabilities on how this product helps on Event Mesh and Data Mesh solutions, especially how this is useful to enable Data Product.

Pros

Event Processing

Cons

Standardization of transformation solution

Likelihood to Recommend

Event processing

Srini Ganapathiraju

Engineering Manager in Finance and Accounting at INGKA Services LLP (10,001+ 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 (501-1000 employees)

Vetted Review

3 years of experience

SAP Data Intelligence Review

Rating: 8 out of 10

Incentivized

November 14, 2023

Use Cases and Deployment Scope

Problem with cloud basis, because of a secure network, that can't work with cloud solutions

Pros

overview

Cons

cennetivity

Likelihood to Recommend

Very good basis overview, and great possibilities to generates rapports

Verified User

Employee in Information Technology (10,001+ employees)

Vetted Review

7 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 (201-500 employees)

Vetted Review

2 years of experience

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