Czeck company CleverMaps (formerly CleverAnalytics) offers their eponymous location intelligence platform for market research, competitor analysis, and locating business potential.
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Informatica Cloud Data Quality
Score6.9 out of 10
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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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Pricing
CleverMaps
Informatica Cloud Data Quality
Editions & Modules
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Offerings
Pricing Offerings
CleverMaps
Informatica Cloud Data Quality
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
Features
CleverMaps
Informatica Cloud Data Quality
Data Quality
Comparison of Data Quality features of CleverMaps and Informatica Cloud Data Quality
If you need to characterize the loaded data with statistical parameters, it is preferable to do the analysis previously and only load the results for the software to show them. This does not detract from the software, it is simply impossible to "have the best of everything" in a single application.
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. TR verified that a representative sample of customers was invited. 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
The response of the software to the requirements has been consistently fast. Only in extreme cases where the speed of the internet system present in the site where the tool is being used is extremely slow, we have recorded delays in accessing information.
The software allows the possibility of several people located in different geographic locations, simultaneously accessing the same information, without interfering with each other.
It has made it possible to detect "information gaps" that were thought to be non-existent, and that resulted in expedited decision-making, to try to fill the gap or to find alternative solutions, not initially contemplated.
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. TR verified that a representative sample of customers was invited. 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 is not functional if it is intended to be used in small mobile screens, since to achieve an adequate visualization of the maps and the side panel, at least one screen the size of a tablet is needed.
There are times when you do not want to show (for reasons of confidentiality or for commercial reasons, for example) all the data that is associated and loaded in the database. So far we have not found a way to load the data in a way that ensures that "sensitive data" is displayed only when desired, and not automatically with the data set in general. The option is possible. Research is continuing on this.
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. TR verified that a representative sample of customers was invited. 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.
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
With sincerity, the company has not opted in particular for any of these applications. It has evaluated the benefits and weaknesses of the named applications and other additional ones that are not included in the previous list. As it happens with almost everything in life: there are skills and potentialities of a software that are more applicable in certain fields of work, and for certain characteristics inherent to the data that it handles. Within this same company, there are applications that are more useful for a certain type of data and information and less versatile for others.
More important is the knowledge that must have, about the data and processes involved, the person who has the responsibility of selecting a certain software.
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. TR verified that a representative sample of customers was invited. 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
It allowed detecting "information gaps" in places where it was not expected that this scenario could occur.
It has made it possible to quickly visualize, locations where, although information existed, this information was relatively old, or of low quality compared to that which can be obtained with the most recent technologies.
The detection of these scenarios improved the level of satisfaction that the company routinely asks of its clients, who stated that they are highly satisfied with the level of knowledge that the company has in relation to information, especially the historical records, that in our field of action is of high importance.
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. TR verified that a representative sample of customers was invited. More Info
