Before diving into setup, let's clarify what Business Central's change log actually captures. After implementing this feature for multiple companies, I've found most people don't realize its full capabilities:
Standard Change Log Captures:
What Most People Miss:
I was once able to prove that a salesperson had modified discount percentages after manager approval by showing the exact timestamp and original values. This specificity turned what could have been a disputed termination into a clear-cut case.
Many companies simply activate the change log without proper planning. Based on implementing this for companies ranging from 10 to 500+ users, here's the approach that actually works:
Before touching any settings, identify:
A pharmaceutical client focused solely on FDA-regulated fields, while a financial services firm needed comprehensive tracking for SOX compliance. Your industry and business model should dictate your approach.
Now you're ready to activate the feature:
For most companies I've worked with, tracking modifications and deletions provides the best balance between coverage and performance.
This is where most implementations go wrong. Don't track everything – it creates unmanageable data volume and performance issues.
Instead, take this targeted approach:
Real-world example: A manufacturing client initially tracked their entire Item table (100+ fields) and filled 2GB of database space in just three months. After refining to track only cost, pricing, and inventory fields, they reduced storage needs by 87% while actually improving their risk coverage.
After years of refining change logs, these are the specific fields I recommend tracking:
Table | Critical Fields to Track | Why It Matters |
---|---|---|
Customer | Credit Limit, Payment Terms, Blocked, VAT Registration No. | Prevents unauthorized credit extensions and tax fraud |
Vendor | Bank Account No., Payment Terms, Prices Including VAT, Blocked | Catches bank fraud attempts and payment manipulation |
Item | Unit Cost, Standard Cost, Gen. Prod. Posting Group, Blocked | Prevents margin manipulation and posting errors |
G/L Account | Account Type, Income/Balance, Blocked, Direct Posting | Protects financial statement integrity |
User | Permission Sets, State, Authentication Email | Monitors security changes |
Sales Header | Payment Terms, Prices Including VAT, Salesperson Code | Catches unauthorized discounts |
Purchase Header | Payment Terms, Prices Including VAT, Vendor No. | Prevents vendor or payment manipulation |
Pro tip: For posted document tables (like Posted Sales Invoice), focus only on fields that shouldn't change after posting, like amounts and account numbers. This catches true data manipulation while ignoring routine updates.
Having a comprehensive log is useless if you can't extract meaningful insights. Here's how I approach change log analysis:
Set up two different approaches:
Regular Monitoring (Preventative):
Incident Investigation (Detective):
The default change Log Entries page is difficult to use for investigation. Create custom views for common scenarios:
For Payment Detail Changes:
For Pricing Manipulation:
Real-world application: A retailer I worked with created a daily payment detail change report that automatically flagged when bank details were modified within 7 days of a scheduled payment. This simple report prevented a $28,000 fraud attempt when someone changed a vendor's bank information.
The change log can be overwhelming. Use these techniques to find what matters:
A distribution company noticed a pattern of small unit cost changes (1-2%) that individually seemed insignificant but collectively inflated inventory value by $76,000. Only by analyzing change patterns did this manipulation become apparent.
Once you've mastered basic change log setup, consider these advanced approaches:
Business Central's change log shows what changed, but not the full context. Supplement it with:
A manufacturing client combined these approaches to discover an employee logging in after hours, running inventory reports, then making subtle adjustments to hide inventory shrinkage.
Don't rely on manual review of logs. Set up automation to flag suspicious activities:
Implementation example: A wholesale distributor created a daily Power Automate flow that checked for customer credit limit changes exceeding 25% and emailed the credit manager for verification. This caught unauthorized credit extensions within 24 hours rather than discovering them weeks later.
Not all changes indicate problems. Create a system to document expected changes:
A professional services firm implemented a simple master data change request form that generated reference numbers. When reviewing the change log, they could quickly distinguish between approved changes and unauthorized modifications.
After implementing change logs at dozens of companies, I've seen these common mistakes repeatedly:
The problem: Excessive logging creates performance issues and makes finding relevant information harder.
The solution: Review your change log setup quarterly. If log size growth exceeds 5% of your database size, narrow your tracking focus to essential fields only.
Real example: An insurance company tracked every field in their Business Central database, creating 500,000+ log entries monthly and slowing system performance by 22%. After focusing on only truly sensitive fields, performance returned to normal and they could actually find relevant information.
The problem: Assuming changes are tracked without verification leads to false security.
The solution: Periodically test your change log by making controlled changes and confirming they appear correctly in the log.
Real example: A manufacturing company discovered their item cost changes weren't being logged despite being configured in the setup. The issue? A custom extension was modifying costs through code that bypassed standard logging. Only regular testing would catch this gap.
The problem: Technical monitoring without appropriate policies and training.
The solution: Create clear policies about data changes, ensure users understand change logging exists, and establish consequences for inappropriate modifications.
Real example: A distribution company's extensive change logging didn't prevent fraud because employees didn't know their actions were being tracked. After adding a simple login message about system monitoring and conducting training, unauthorized changes dropped by 82%.
An often-overlooked aspect of change logs is maintenance. Without proper care, they become unwieldy and less useful over time.
Don't keep all change log entries forever:
Pro tip: Before purging old log entries, generate comprehensive reports for historical reference. This preserves insights while reducing database overhead.
Keep your system running smoothly:
A retail client reduced their report generation time from 3 minutes to 15 seconds by properly indexing their change log tables after two years of data accumulation.
Yes, even your audit trail needs auditing:
A financial services firm discovered during an audit that their change log had been disabled for 3 weeks following a system update. Only regular verification would catch this type of gap.
Most companies implement audit trails purely for compliance, missing their strategic value. Here's how change logs can provide business advantages:
Analyze change patterns to identify inefficient processes:
A wholesale distributor discovered that 40% of their purchase orders were modified after creation. This insight led them to improve their requisition process, reducing rework and increasing procurement efficiency.
Use change logs as training tools:
A professional services firm included change log statistics in their monthly department reviews. Teams competed to have the lowest rate of data corrections, improving overall data quality by 47% in six months.
Most companies use audit trails for detection after problems occur. Shift to prevention:
After a manufacturing company shared how their change log identified inventory manipulation, attempted theft dropped dramatically. The mere knowledge of monitoring proved to be a powerful deterrent.
After implementing and managing audit trails for dozens of companies, I've found their greatest value isn't in compliance checkboxes or even fraud detection—it's in the culture of accountability they create.
When people know their digital actions leave footprints, behavior changes. When managers can quickly identify the source of discrepancies, blame games disappear. When executives can demonstrate strong controls to auditors and regulators, compliance costs decrease.
The companies that view audit trails as strategic assets rather than technical requirements are the ones that not only avoid problems but build stronger operational foundations.
Start small. Focus on your highest risk areas. Be consistent in monitoring. The return on this investment will come not just from the problems you catch, but from the problems that never materialize because your systems and culture prioritize data integrity.
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