Acumens History Management app for Dynamics Business Central and Dynamics NAV introduces tracking of record changes where a record copy is created on the corresponding History Table for all types of changes. The whole record is created when a change happens unlike standard change log where only the differential is created.
It is flexible to extend by adding more tables to track apart from the default ones that come with the app.
Record being modified hence optimized access compared to standard change log
It’s not specific to a record but specific to a table
Access to Change Log raw data for all tables
Change Log: This feature tracks insert, modify and delete actions on records by storing an instance of the record when a change is made. These records are maintained in tables specific to the record being modified hence optimized access compared to standard change log.
Deleted Records: With this feature you can track all deleted records. It’s not specific to a record but specific to a table e.g. for Customers, all deleted Customer records can be accessed from Customer List or card.
Raw Data Access: The app gives access to Change Log raw data for all tables enabled for History tracking. These data can be extracted from the respective lists and analyzed further.
With Acumens History Management Enhancements app (which is an extension feature of Acumens History management), below features are added at zero cost
Subsidiary Tables Change Log: The app allows access to subsidiary tables change log from the parent tables for ease of analysis e.g. access to Sales Prices change log from the customer card.
Field Query: This feature gives the user the ability to review individual field changes on one interface. The retrieval is per table per field.
Table Locking Analysis: This feature allows analysis of time spent by users on a record during a change. If a user is running a resource intense process, table locking tends to happen which stalls all system operations related to the locked table. Through this feature we can be able to tell time spent by a user on a record hence be able to isolate issues that result in database locks.
Analysis is done for a specific table selected by user for a select date and can be analyzed Per User or Per record.
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