Devart Excel Add-ins allow you to use Excel capabilities to import, process, and analyze data from cloud applications and relational databases. The Excel Add-ins also allow users to make data changes and then save those changes back to the data source they were originally imported from.
$399.95
one-time fee
Informatica Cloud Data Quality
Score6.9 out of 10
N/A
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.
N/A
Pricing
Devart Excel Add-ins
Informatica Cloud Data Quality
Editions & Modules
Excel Add-in Database Pack
$399.95
one-time fee
Excel Add-in Cloud Pack
$499.95
one-time fee
Excel Add-in Universal Pack
$599.95
one-time fee
No answers on this topic
Offerings
Pricing Offerings
Devart Excel Add-ins
Informatica Cloud Data Quality
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Purchases include a perpetual license and 1 year of subscription which includes the product updates and premium support.
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More Pricing Information
Features
Devart Excel Add-ins
Informatica Cloud Data Quality
Data Source Connection
Comparison of Data Source Connection features of Devart Excel Add-ins and Informatica Cloud Data Quality
Feature
Devart Excel Add-ins
8.5
1 Ratings
1% above category average
Informatica Cloud Data Quality
-
Ratings
Connect to traditional data sources
8.01 Ratings
00 Ratings
Connecto to Big Data and NoSQL
9.01 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Devart Excel Add-ins and Informatica Cloud Data Quality
Feature
Devart Excel Add-ins
7.0
1 Ratings
15% below category average
Informatica Cloud Data Quality
-
Ratings
Simple transformations
8.01 Ratings
00 Ratings
Complex transformations
6.01 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Devart Excel Add-ins and Informatica Cloud Data Quality
Feature
Devart Excel Add-ins
8.6
1 Ratings
8% above category average
Informatica Cloud Data Quality
-
Ratings
Data model creation
10.01 Ratings
00 Ratings
Metadata management
9.01 Ratings
00 Ratings
Business rules and workflow
8.01 Ratings
00 Ratings
Collaboration
9.01 Ratings
00 Ratings
Testing and debugging
7.01 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Devart Excel Add-ins and Informatica Cloud Data Quality
Feature
Devart Excel Add-ins
8.5
1 Ratings
5% above category average
Informatica Cloud Data Quality
-
Ratings
Integration with data quality tools
8.01 Ratings
00 Ratings
Integration with MDM tools
9.01 Ratings
00 Ratings
Data Quality
Comparison of Data Quality features of Devart Excel Add-ins and Informatica Cloud Data Quality
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
It has room for improvement in terms of security and making it possible for large organizations like us to use it in a more secure way with integrating with our in-house security systems.
Pricing could be reduced further for it to be adopted world-wide.
it isn't foolproof. Excel has no means of checking for human error during data entry, which means that the wrong information can skew all the results - sometimes severe.
Users unfamiliar with Excel syntax may also find entering calculations and calling up other functions a bit frustrating until they get a solid understanding.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
It automated the whole reporting and excel. Our team can generate pivot, dashboards and multiple other reports in various formats and update them with one click. My Sales team need to update more then 1500 leads status on daily basis. By using this tool now they can do this in few minutes.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Microsoft Excel is the most used tool in the software universe. As such, asking Microsoft Excel to be the tool used post data acquisition makes a ton of sense. Almost everyone we hire has some idea on how to use this tool, which decreases the time spend training new employees.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info