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Syniti Data Quality pros and cons

Vendor: Syniti
4.3 out of 5

Pros & Cons summary

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Prominent pros & cons

PROS

Syniti Data Quality enhances productivity and flexibility for users.
Customer service and support are highly rated.
Syniti builds in 80% of features, requiring users to customize only 20 to 25%.
It facilitates easy execution and pre-loading of reports.
Users can integrate SAP and correct errors directly within Syniti Data Quality.

CONS

Data extraction requires improvements.
Loading mechanisms and administration processes need refinement.
Customization of data is limited, requiring basic SQL queries to be built externally.
Ability to analyze and rerun SQL queries based on usage is needed.
Integration of more AI capabilities in the future would be beneficial.
 

Syniti Data Quality Pros review quotes

RA
Nov 27, 2023
Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports.
AD
Aug 23, 2023
The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users.
GY
Nov 29, 2023
With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them.
Find out what your peers are saying about Syniti, SAP, Informatica and others in Data Quality. Updated: February 2025.
832,138 professionals have used our research since 2012.
KV
Nov 14, 2023
The customer service and support is good.
 

Syniti Data Quality Cons review quotes

RA
Nov 27, 2023
The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage.
AD
Aug 23, 2023
In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required.
GY
Nov 29, 2023
It would be good if Syniti Data Quality could integrate more AI in the future.
Find out what your peers are saying about Syniti, SAP, Informatica and others in Data Quality. Updated: February 2025.
832,138 professionals have used our research since 2012.
KV
Nov 14, 2023
The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement.