March 15, 2020 Release Notes

On Sunday, March 15, 2020, DataServ will use a planned maintenance window to perform system upgrades and maintenance. Your platform will be unavailable from 8:00 a.m. to noon U.S. Central time on that day. 

In this release, we are making two changes pertaining to the ‘tiles’ on our Dashboard tab. We are adjusting the font size to be smaller for counts that are more than 3 digits for an improved user experience. And when the system is processing tile information, a message will overlay to update the user. 

Sunday’s release will also include one bug fix. Additionally, in acknowledgement of the changing seasons, we are updating our login screen image.  

DataServ will also be finalizing behind the scenes work preparing for two significant launches: a new tab for P2P Analytics and improvements to our Digital Mailroom’s Invoice Processing Machine (IPM). I’ll be sending you more information under separate cover about each of these launches: 

• Analytics will deliver visibility into your financial liabilities to give you the power to make better and faster decisions to manage invoices, processes, and vendors. 

• IPM enhancements will deliver a shorter document ingestion process, improved image quality and OCR validation, and expanded indexing of international documents. 

 DataServ, like many companies around the world, is closely monitoring the Coronavirus outbreak. We know you depend on DataServ to support your supply chain and recognize how important our document ingestion and digital workflow is to your operations. While DataServ has not needed to alter any operations at this time, I do want to assure you that DataServ has redundant and contingent plans in place to mitigate risks that may arise from health or government restrictions. Having been through many challenges over our years of experience, we prepare for such emergencies, including the need to ask employees to work at home, in advance with our people, processes, and technology. Clients are telling us that they are better able to adapt to emergencies like this because of their DataServ solution, between enabling remote work and reducing dependency on tribal knowledge.