Cronycle was market intelligence platform for market research, product innovation, and sales enablement teams. It enabled discovery of a variety of data (including articles, documents, conversations, and more) from top experts across 80,000 topics, delivering relevant content that users need to know about. The service has been discontinued.
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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.
Prior to adopting Cronycle, our research team had a variety of different ways in which they would discover, store and share information. These methods were often inconsistent, with many smaller teams or sub-groups of researchers operating independently of others. In many cases, content that was potentially useful to more than one colleague was not being shared at all. We had thousands of different sources, accessed through varying methods and stored in different locations/systems, and very few colleagues would have had an idea of which sources other team members were using. Furthermore, we became aware as a team that while between us we were pulling in a lot of information, much of what was being discovered was not necessarily being acted upon, or indeed being read by the colleague to whom it was most relevant. We also needed to become more targeted, and indeed more selective, in the information we were seeing, and Cronycle -specifically through the Sources Library, the Feeds, and the tagging and notification functionality - has enabled us to do just this. There has been a genuinely transformative outcome to our information gathering ability, borne out by specific metrics, which Cronycle has also provided us with via the Enterprise account.
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 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.
For some reason logging on for a few months does not go as easy as usual, because nowadays I need a least two attempts to log in.
I think I do only use the core functionality of Cronycle: getting indication info by keywords via multiple sites.
Vice versa: if people come to me with a suspected issue, I double-check via Cronycle by entering that issue as search in found results. A low occurrence often indicates the suspected issue likely is not so severe.
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
Any issues with the platform have always been resolved quickly. I have never previously worked with a third party software provider whose support team is as responsive.
Hootsuite publication prep and scheduling is great, better than Cronycl (a manual process) Cronycl management of feeds, filtering creation of topical boards are excellent, Hootsuite doesn't offer this. Cronycle I find it easier, more attractive, and better filtering than Buffer, though Buffer was slightly better at the publication prep.
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
