PlaidCloud System Updates
Cost Allocation Improvements, Data Visualization upgrade, GIT integration for UDFs
GIT Integration for User Define Functions – This release provides a new capability for managing UDFs. UDFs allow for maintenance to be done to the code directly in PlaidCloud. Additionally, you can now include code from Git repositories directly.The ability to include code from Git repos makes development, version management, and code security follow standard development processes. It also makes branch switching possible for testing and validation.Currently, Github, Gitlab, and Bitbucket are supported.
Various Feature & Performance Enhancements
PlaidCloud update includes various feature and performance enhancements to assignments & allocations, navigation speed and Data Mapper.
Slack Messaging & Enhanced PlaidCloud Performance & Stability
PlaidCloud update includes ‘Slack’ messaging notifications and enhanced PlaidCloud performance and stability through Python operations.
Dashboard pivot table updates
PlaidCloud now has upgraded dashboards – Pivot table summing is fixed along with a lot of other improvements.
General Performance and Bug Resolution
This PlaidCloud update includes general performance and bug resolution upgrades with a specific focus on improving overall usability.
PlaidXL Queries & Lookup Performance Enhancements
PlaidCloud update includes PlaidXL queries to help with ad-hoc reporting and lookup performance enhancements for increased functionality.
Views & Allocations Enhancements
PlaidCloud update includes Views and Allocations enhancements to help with table conversion and optimize performance.
‘Views’ & ‘GOTO’ Workflow Features
PlaidCloud update includes ‘Views’ and ‘GOTO’ applications to help speed up workflows and reduct data storage.
Microsoft Office Add-In Release
PlaidCloud update includes Microsoft Office Add-iin release as well as general user interface enhancements and Flashback application update.
Data & Hierarchy Enhancements & Error Resolution
PlaidCloud update includes intermittent error resolution and major data and hierarchy enhancements with improved performance and capability.