Informatica Cloud Data Quality vs. SAP Agile Data Preparation

We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways. At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.

Incentivized

SAP is very well suited for handling large amounts of data and making data and trends visible to all.

Incentivized

• Watch the data real time- After creating the job the data quality engine checks and run the custom rules creating a navigation window at the bottom for review and accessing the data right away.
• Character Set Mapping
• Makes sense of our own data, which in turn gives us confidence that we can provide to the end users. IDQ helped us with erroneous data in accounting and HR for accurate and immaculate reports

• This software is a highly scalable solution to work on loads of data which can be worked upon easily.
• The software offers a beautiful self-service user interface and experience. Additionally it also provides extensive and powerful data quality and exploration tools.
• The Action suggestion feature in the tool is an easy way to understand potential data quality issues like duplication of entries or location validation.

Incentivized

• Several partnerships diminishing the value of technologies
• Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
• Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.

• It would be helpful if SAP had cleaner Excel and Access export capabilities
• It would be helpful to have more training modules available online
• The customer service ticket system is time-consuming

Incentivized

I gave a rating of 8 due to the fact that we use Informatica for both our data quality product and ETL product. Having both integrated makes it so much easier. Microsoft had a similar product of finding duplicates, but at the time it didn't seem mature enough. The usability also in IDQ was pretty easy to navigate and use.

Easy to use not only for developers but also business users

Incentivized

The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server

Incentivized

Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.

Incentivized

I have no had any major issues, just a couple minor ones.

Incentivized

Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.

Incentivized

Our organization chose SAP Agile Data Preparation because of its brand name and the pricing. The software was feasible for the organization as it provides loads of feature as compared to other software's at a reasonable price. Additionally, SAP Agile Data Preparation is powered by SAP HANA so that is a prerequisite to data preparation freedom. Also, at the implementation stage the software was working really efficiently in terms of features, durability and performance.

Incentivized

Scalability works as expected and it is truly an enterprise system.

Incentivized

• Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
• Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
• Employee efficiency is increased exponentially due to more automated, customized tool

• Data management for large community has been increased
• Easy to collaborate with relevant stakeholders
• Smart and user-friendly interface
• Data sharing feature with excel, spreadsheet etc

Incentivized