G2

Ismail D.

IT Project Manager

Mid-Market (51-1000 emp.)

5/22/2022

"To update the company's information."

4.5/5

What do you like best about SAP Data Intelligence?

I like SAP Data Intelligence for the following reasons:

It enables data integration by establishing operational links between SAP and non-SAP systems.

By centrally grouping analytics data into the data management solution, it is possible to provide an orderly overview of the data.

For the analysis of massive amounts of data.

This feature is useful for incorporating data analysis information in PowerPoint presentations.

Useful for reporting on business intelligence.

It is beneficial to turn our data into actionable information so that we can better understand customer behavior and track and evaluate performance.

Advantageous for collecting data from a variety of sources, allowing us to extend the reach of our data for more dynamic and adaptive insights. Review collected by and hosted on G2.com.

What do you dislike about SAP Data Intelligence?

Sap Data Intelligence installation may take some time. Review collected by and hosted on G2.com.

Recommendations to others considering SAP Data Intelligence:

I recommend Sap Data Intelligence for the following:

SAP Data Intelligence is appropriate for merging numerous input datasets into a single output entity with the same structure.

Sap Data Intelligence is suited for business intelligence inquiry, analysis, and reporting in a web-based environment, with components available in a contemporary and modular web interface in tiled view, and functions structured in a user-friendly context in the corresponding subTask. Review collected by and hosted on G2.com.

What problems is SAP Data Intelligence solving and how is that benefiting you?

Useful for revealing links and data exchanges in unstructured data.

Natural language processing is used to extract information from unstructured text data.

It allows to understand the meaning and the context of the information.

It facilitates the self-analysis of data and the conversion of that data into meaningful knowledge.

Ideal for the material to be distributed among all decision makers to produce information.

Ideal for streamlining operations and increasing productivity.

It allows data to be retrieved, loaded, and relocated while maintaining maximum speed and performance.

By transforming data, we may gain contextual insights.

Useful for maximizing the performance of complete processing processes to the source or destination system. Review collected by and hosted on G2.com.