Azure Data Catalog vs. Salesforce Agentforce Revenue Management

Azure Data Catalog helps us solve data discovery problems
brilliantly. Our organization created a single source of truth for our data,
which allowed us to develop BI and data science solutions. We can drag tables
or data sources to manage workflow. Some of the more complicated data normalization
or standardization issues need to be simplified, and I'd like to see that
happen.

Incentivized

What I like best is the ease of use to be able to track all opportunities and quotes in my daily sales tracker I also like the fact that you can reorganize the view for your opportunities. For instance, it is very similar to a spreadsheet where you can filter them by date, dollar amount, name, and several other ways. I found this to be less appropriate when we have to do multiple roles while assigning one task to multiple users. Column resizing within the Quote Line Editor is not supported in the Salesforce mobile app.

• It's easy to use and implement.
• Ownership of the data.
• It's helpful for all businesses.
• Policy on data preservation.
• It can utilize various data sources.
• Data management is secure and simple.

Incentivized

• It does a lot of pricing models really well. So like tiered pricing when you're selling a product has tiered pricing.
• The out of the box approval functionalities is really good. It can trigger approvals based on a ton of different custom criteria.
• The data it creates and tracks is really accurate and robust.

Incentivized

• Maintenance and creation of documentation for data sources takes a lot of time
• One cannot connect to data using a client's app unless they know the locus of the data source.

Incentivized

• Our Salesforce is very messy, which tells me it's not super easy to clean up.
• I always have a really hard time removing a contacts from an account - it seems like you can't simply remove the relationship so we have lots of people named DO NOT CONTACT or things of that nature.
• Sometimes when saving it doesn't seem like things actually save.

Incentivized

The company is very easy to work with and is growing by leaps and bounds. We do not anticipate switching vendors anytime in the near future

It is really easy to use once you learn how to configure it correctly. When configured correctly, it is very easy for the end user to learn and ultimately use ARM. Overall, Salesforce Agentforce Revenue Management is super user-friendly and really use to use day-to-day for RevOps and also Billing functions.

Incentivized

There have been some issues with multi-year pricing of certain products and services which we have been assured will be resolved but I guess are still underway, the support team apart from this has not been needed much and in the rare scenarios, it has been needed the resolutions of conflicts has been prompt and quick, so the overall support would have my high regards for being so helpful and customer-oriented so as to assure good performance of their toolset and customer satisfaction.

Incentivized

Azure Data Catalogue was chosen for

• Microsoft's customer service and expertise
• Experience with Azure Cloud Solutions
• Reviews from peers on functionality and performance
• Product roadmap
• Overall costs

Incentivized

There is no comparison to a fully functional instance of CPQ. Nothing comes close due to the amount of customization and ease of use that CPQ offers once it's fully built out. Other solutions may be easier to build or administer, but for the users and business needs, CPQ is the best solution possible.

Incentivized

• Azure platform makes it easier for us to register & catalogue all available information easily. This way when the customer actually made a sudden request or they want to access sensitive information on their own, the data is readily presented to them. Needless to say we use this mined and catalogue data for a variety of inhouse training and other improvement initiatives.

Incentivized

• Easy access to reporting on closed-won, closed-lost, and open quotes.
• Accuracy in data referenced in a quote - it's typically accurate as it is pulled directly from opportunity, looking up to associated subscription start/end dates, etc..
• We lose valuable time in creating quotes ourselves. Quotes were requested and created through sales ops previously, sales did not have access to the excel templates used to generate quotes.

Incentivized