Likelihood to Recommend 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.
Read full review Helps to increase productivity, optimize costs, and democratize data across multiple cloud environments with cloud ETL and ELT. Capacity to integrate data sources at scale and with ease. Has cloud data integration capabilities that cover diverse sets of patterns, use cases, and users ensuring we have well-architected and seamless automated data pipelines.
Read full review Pros 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. Read full review 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. Read full review Cons I would love to have a multi-user mode. I realize this very difficult though given I as an admin can see records my peers cannot. Read full review Several partnerships diminishing the value of technologies Unable to get list of objects from Repository (like sources & targets) that don't have any dependency Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this. Read full review Likelihood to Renew 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
Read full review 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.
Read full review Usability 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.
Read full review Easy to use not only for developers but also business users
Read full review Reliability and Availability The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
Read full review Performance Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
Read full review Support Rating 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.
Read full review Implementation Rating 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.
Read full review Alternatives Considered 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.
Read full review Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.
Read full review Scalability Scalability works as expected and it is truly an enterprise system.
Read full review Return on Investment Neglected and not used due to destructive automation Fear of cleaning up data Not wanting a human to do proper cleansing Read full review Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production Employee efficiency is increased exponentially due to more automated, customized tool Read full review ScreenShots