Precisely Automate vs. SmartStream Transaction Lifecycle Management

It's more appropriate for inserting, updating, and deleting/deactivating data in bulk from Excel files, and for executing individual transactions in SAP systems in desktop environments, but not so much for executing chains of transactions, à la RPA, or in SAP systems with a web interface. Not Fiori. At least that's our experience with SAP in the desktop interface

TLM will be well suited for an organization's recon requirements. If the organization is able to afford the software, it will be worth investing the amount. The support for heterogeneous file formats is one of the key features. It can accept swift and flat files. The config screens for ingesting the data are very user-friendly. Overall the time taken for setting up a new recon is very less. TLM can be improved if they bring in some AI/ML algorithms for improved match rates.

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

• Update large quantities of data from Excel files.
• Automate the execution of SAP transactions.
• Clean data in SAP systems from Excel files.

• Matching Rules are easy to implement
• Dashboards are user friendly and customizable
• Supports multiple file formats for easy data ingestion

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

• Improve the support from regional partners.
• Make work the identity federation, and the support to make it work.
• Make the integration with the Precisely admin portal.

• Data Archival
• AI and Machine Learning for better match rate
• Better reporting capabilities

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

It is very easy to use and learn. I have onboarded many users in the team with very short trainings. Overall feed back is good. Just the issue is with UI change done post becoming "Precisely". Otherwise easy and handy tool and must have for mass data automation and maintenance.

Have not evaluated any other yet.

Excel was used as a traditional recon tool using macros for matching. There is no room to scale up the recons using excel. The recons are cumbersome and take a lot of time to complete. There are more chances of manual errors. No UI to create a good user experience. Overall all negatives compared to TLM

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info

• Positive impact in keeping the team small in charge of keeping data in order.
• Positive impact in the time used for massively updating data the system.
• Negative impact on the time that take get direct support with a partner.

• Recons completed within SLA's
• Improved match rates
• User friendly dashboards

Incentivized

Invited by TrustRadius (TR) on Vendor's Behalf

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info