OpenText IDOL Unstructured Data Analytics vs. ServiceNow App Engine

Well suited - for someone who enjoys minimal coding with maximum throughput. For organisations who look for IT solutions basis customer a priority. Very well suited for creating tickets for incidents, changes etc Not well suited - for small scale organisations where the customers are less and managing them is easy

Incentivized

• Workflows
• Notifications
• Management

Incentivized

• Not much for this tool, just the deep setting to new users.
• Managing multiple project data.
• Huge amount of data migration to new user.

Incentivized

There are limited use cases where we are just using the service now app engine as of now

Incentivized

Since people can handle the tool without any development background, this was really helpful and can be adopted by anyone, as reusability functions and drag-and-drop features are very easy. Many in-built features and functionality for integrating other applications are handy and adaptable.

Incentivized

Almost 100% available on time

Incentivized

They tried their best to resolve our queries every time we contacted them about any technical support

Incentivized

App engine can be used just to process the minimal amount of the data which is being received from the user. We are service now catalogue items or any other data technology.

Incentivized

ServiceNow App Engine is best among all the competitors. Its integration is best with Outlook and ERP, its SLA management is best, and very organized filters are very useful. Categorization of tickets is something that is very useful. It's very easy to search the tasks/order with limited keywords and very easy to customize. The best part is we can simply reply on mails using ServiceNow App Engine and keep a proper log of the tickets.

Incentivized

It is scalable but not reliable

Incentivized

• We have managed to close the un applied cash item from 56% to 89% in a given five working days period by using ServiceNow App Engine
• By automating and entire money laundering process, we have managed to provide the background check data as quickly as within a day, which was actually taking weeks Same reports when we were doing the things manually.

Incentivized