Cloudingo - a cloud-based SaaS, connects to salesforce.com and allows system administrators to scan their entire database for similar or duplicate records. Cloudingo was launched in late 2011. It is well known for its ease-of-use and rich user experience.
$83
per month
Informatica Cloud Data Quality
Score 6.6 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.
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Pricing
Cloudingo
Informatica Cloud Data Quality
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Cloudingo
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
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Community Pulse
Cloudingo
Informatica Cloud Data Quality
Features
Cloudingo
Informatica Cloud Data Quality
Data Quality
Comparison of Data Quality features of Product A and Product B
Cloudingo is great at mass merging account and contact records based off a specific criteria instead of having to do it manually within the record in SF. It also is easy to analyze a record while in a mass merge to see if you need to edit some values. However, having other standard objects would be very beneficial and even having it for custom objects could be helpful.
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.
Cloudingo displays a single dashboard view of the quality of data you have in Salesforce. You no longer have to guess how much of your CRM is "clean" or "dirty".
Cloudingo allows you to test functionality in Salesforce Sandbox prior to conducting changes in Salesforce Production. I highly recommend thoroughly testing functionality prior to making changes in your live CRM.
Cloudingo allows you to mass merge and converts records automatically and manually either individually or in groups. This saves a lot of manual time in trying to keep your CRM's data clean.
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.
We spend enough money on Salesforce that the cost of Cloudingo when compared with its benefits is extremely small. We've been able to see measurable KPIs move as a result of the work we've done with Cloudingo
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.
Very usable. I have not spent enough time to fully grasp the capabilities. The interface is fairly intuitive, and I think with more time, I would grasp it very well.
I have had to reach out to Cloudingo support several times. They almost always respond that same day. Often times they will call me directly to fix the problem or walk me through best practices. They even reach out after the fact to make sure that everything worked okay. They are also kind and personable.
For us it was just a matter of committing the 10 minutes to install it from the AppExchange. It automatically builds out a dashboard based on standard filters and you get a lot of insight from them. We then copied some of the standard ones and pulled two from a filter library that rounded out what we needed. I wish I had done this months before given how little of my time it actually took.
We considered DemandTools CRMFusion. As a small company with a limited budget, it was considerably more expensive than Cloudingo. It also was an installable, on-premise piece of software which is a big drawback. While the reviews of CRMFusion on TrustRadius were very positive, it appeared to have a steeper learning curve as well. So the combination of cloud-based, easier-to-use, and lower price led us to select Cloudingo over CRMFusion.
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.
