What's new with DataBlend? September 8th release notes.

September 8, 2023 / by Kate Johnson

The highly skilled product team at DataBlend releases new connectors and updates monthly. It's our way of keeping the product fresh and up-to-date with the latest connectors and improvements. Below is a brief outline of the newest release. To see all our release notes, visit https://datablend.atlassian.net/wiki/spaces/DS1/pages/1390837767/Release+Notes

Existing Connector Updates

There is a reason why DataBlend is trusted by finance and accounting departments at over 600 companies. Our impressive product team is committed to updating and improving our growing number of connectors, enabling users to have fast, reliable, and secure integrations between their everyday applications in the Office of Finance. 

With this release, we've updated the following connectors:

Sage Intacct
  • Data Target: Labor Shift  
  • Data Target: Labor Union
  • Data Target: Labor Class
  • Data Target: Accumulation Types
  • Data Target: AP Retainage Releases
  • Data Target: AR Retainage Releases
  • Data Target: Cost Types
  • Data Target: Employee Position
Sonny's Carwash
  • Collector: Transaction Updates
Script
  • Collectors: Script Bug Fix
  • Data Targets: Script Bug Fix
ADP
  • Collector: Payroll Output Bug Fix
  • Collector: Timecard Updates

All Connectors

  • Query
  • Query Builder: Wrap with Function Update
  • Query Builder: API Update

We hope you are as excited as we are about our latest release! If you want to learn more about what finance and accounting applications DataBlend connects to, head over to our integrations page: https://datablend.com/integrations/

 

About DataBlend

DataBlend is an Integration Platform-as-a-Service (iPaaS) solution that caters specifically to the office of finance. With over 600 customers, we provide secure and seamless integration without the need for expensive subscriptions or overburdening internal IT resources. You can trust us to deliver worry-free solutions.

DataBlend empowers finance and accounting by:

  • Eliminating manual CSV or Excel extractions, transformations, and uploads
  • Keeping data across systems in-sync
  • Ensuring timely and accurate reporting
  • Eradicating human errors
  • Creating efficiencies by automating otherwise manual tasks