Cloudingo vs. DemandTools vs. SAP Data Intelligence

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.

Incentivized

DemandTools is perfect for any system that constantly adds new records to its database. For example, in higher education, we are constantly purchasing search names from various vendors and DemandTools allows us to make sure we are not doubling up on the same records. It saves us money in the long run as we are not mailing out multiple copies of our brochures to the same person.

If you have an SAP products ecosystem in your IT landscape, it becomes a no-brainer to go ahead with an SAP Data Intelligence product for your data orchestration, data management, and advanced data analytics needs, such as data preparation for your AI/ML processes. It provides a seamless integration with other SAP products.

Incentivized

• 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.

Incentivized

• PowerGrid can review and make the updates simultaneously.
• Single Table Dedupe makes merg[ing] the records easy and can make updates at the same time.
• BulkBackup [is] just one click, majority data got updated.
• Scenarios save a lot of time for similar working load.

Incentivized

• It integrates well with our current ecosystem of SAP products, like HANA.
• It provides end-to-end machine learning operations, with tools for the complete model life cycle.
• It has a simple user interface for novice users, with complex tools also available for power users.
• It builds on SAP Data Hub, providing all the ETL functions of that tool with additional machine learning functionality.
• It can run in the cloud, no on-premise software management needed.
• Many programming languages are supported, it provides a sandbox environment for the user to develop in whichever style they prefer.
• SAP is very actively developing and improving it.

Incentivized

• 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.

• I wish I could make changes to my existing scenarios using save rather than having to create a whole new scenario. Maybe you can, I just haven't been able to.
• Some features aren't user intuitive and it takes a while to learn.

Incentivized

• Data transfer speed tends to be slow when there is poor internet connection since SAP Data Intelligence don’t synchronize data while offline. However, this is not vendor fault, that’s why we have implemented robust wireless technology internet connection in our organization.

Incentivized

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

It's a great product. The only thing that holds us back is it was frustrating working with their sales team. We also don't like that when Validity purchased DemandTools they immediately started charging us quite a bit while it had been free for non-profit users when CRMFusion owned it. They also don't let you buy it for just 1 or 2 seats, you have to pay, I believe, in batches of 100 seats.

Incentivized

Allow collaborations among various personas
with insights as ratings and comments on the
datasets Reuse knowledges on the datasets for new users Next-Gen Data Management and Artificial Intelligence

Incentivized

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.

Incentivized

Allows for control in uploading lists, saved processes for checking duplicate records.

Allows for backup files and quick reverts if something goes wrong.

Extends reporting when Salesforce.com cannot support specific pieces of info being put together in a report.

Automated processes for set and forget hygiene tasks

I think the troubleshooting process might be streamlined with improved error recording and tracing. A lot of information about issues and how to fix them is hidden away in the Kubernetes pods themselves. I'm not sure whether SAP Data Intelligence can fix this problem it may be connected to Kubernetes's design, in which case fixing it could need modifications inside Kubernetes itself.

Incentivized

There has not been a time since I started 9 months ago that I've encountered any kind of downtime.

Incentivized

DemandTools is a bit clunky and slow at times

Incentivized

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.

Incentivized

Support can be slow so do not expect quick turn for urgent issues.
Help for specific queries not not there. Product tech support is offered. It would be great if query support, even if paid, was offered
The training webinars help with the basics but not much if you need advanced functionality.

Initially we struggle to get help from SAP but then dedicated Dev angel was assigned to us and that simplify the overall support scenario. There is still room of improvement in documentation around SAP Data intelligence. We struggle a lot to initially understand the feature and required help around performance improvement area,

Incentivized

The trainings are free live webinars that give you a solid base for getting started with the program. The only weakness is they don't have any advanced classes.

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.

I had just started using Salesforce about 3 months before I did the implementation myself, and it was easy to do just following their step-by-step instructions.

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.

Incentivized

Though RingLead has much more to offer in terms of automation (and it is in Salesforce rather than a separate program), DemandTools still has our heart. DemandTools is very cost-friendly and we were able to increase the value of DemandTools by programming in additional saved scenarios. I decreased admin time in the DemandTools suite by approximately 25% after implementing saved scenarios for every reoccurring update or list upload.

Incentivized

One of the reasons to pick SAP Data Intelligence is the speed and security it provides, in addition to the excellent support it provides. It is also compatible with all popular databases, which is another reason to choose it.

Incentivized

It's done everything we've needed it to do.

Incentivized

• Neglected and not used due to destructive automation
• Fear of cleaning up data
• Not wanting a human to do proper cleansing

Incentivized

• It is a tremendous time saver. It does things Salesforce doesn't even have the capability to do. Tasks that would take hours to manually complete.
• We can process a tremendous amount of data daily through one person, vs. weeks for the data to be cleaned, reviewed, routed and input.
• Saves on headcount by allowing a dedicated user to set up batches and jobs for other teams to ensure their data integrity.
• The return on investment isn't easily quantifiable but it is FELT in our department.

Incentivized

• Automation of data management slashed tasks by over 60% in most departments for the first 8 months.
• Metadata catalogs have enabled us to categorize data from disjointed sources in one place.
• It runs multiple ML models which enhances flexibility when managing data.

Incentivized