The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.
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SAP BPM
Score 7.0 out of 10
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SAP NetWeaver Business Process Management is a business process management offering and application infrastructure. It supports joint modeling of processes, central process execution via a Java-based engine, provision of interfaces for users, and integration of business rules into processes.
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Pricing
Informatica Cloud Data Quality
SAP NetWeaver BPM
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data Quality
SAP BPM
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Informatica Cloud Data Quality
SAP NetWeaver BPM
Features
Informatica Cloud Data Quality
SAP NetWeaver BPM
Data Quality
Comparison of Data Quality features of Product A and Product B
Informatica Cloud Data Quality
8.2
4 Ratings
3% below category average
SAP NetWeaver BPM
-
Ratings
Data source connectivity
8.94 Ratings
00 Ratings
Data profiling
8.74 Ratings
00 Ratings
Master data management (MDM) integration
8.24 Ratings
00 Ratings
Data element standardization
7.14 Ratings
00 Ratings
Match and merge
7.94 Ratings
00 Ratings
Address verification
8.44 Ratings
00 Ratings
Reporting & Analytics
Comparison of Reporting & Analytics features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
SAP NetWeaver BPM
10.0
2 Ratings
25% above category average
Dashboards
00 Ratings
10.02 Ratings
Standard reports
00 Ratings
10.02 Ratings
Custom reports
00 Ratings
10.02 Ratings
Process Engine
Comparison of Process Engine features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
SAP NetWeaver BPM
10.0
2 Ratings
18% above category average
Process designer
00 Ratings
10.02 Ratings
Process simulation
00 Ratings
10.02 Ratings
Business rules engine
00 Ratings
10.02 Ratings
SOA support
00 Ratings
10.02 Ratings
Process player
00 Ratings
10.02 Ratings
Support for modeling languages
00 Ratings
10.02 Ratings
Form builder
00 Ratings
10.02 Ratings
Model execution
00 Ratings
10.02 Ratings
Collaboration
Comparison of Collaboration features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
SAP NetWeaver BPM
10.0
2 Ratings
18% above category average
Social collaboration tools
00 Ratings
10.02 Ratings
Content Management Capabilties
Comparison of Content Management Capabilties features of Product A and Product B
For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
It is well suited when we need to integrate business processes with SAP ERP and SAP CRM - the solution can be integrated with business rules/procedures defined in SAP ERP/CRM and NetWeaver can be used to monitor the rules and flag off exceptions. When there are multiple workflows running, it tends to slow down running of these processes. Also, it entirely depends on SAP portal for it to run efficiently.
The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
We have our own tech support for systems, I would say they probably could use more training on it, I don't really think it's anything regarding the SAP system, but more the knowledge they have on the system itself. It seems to take longer for them to fix any issues we may come across.
IDQ is used by a department at my organisation to ensure and enhance the data quality. The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions. In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
I found the initial setup of NetWeaver is much simpler than other products especially in an SAP environment where we have SAP ERP/HRM/CRM as it can be well integrated with other SAP products. The only drawback is the need/dependency on SAP Portal. It is better suited in an environment where SAP ERP is running.