Real-World Dynamics 365 Performance Tuning Scenarios and Fixes

When a system feels slow, the first thought is often, “Maybe I need more hardware.” But with Dynamics 365, performance issues usually point to how the system is set up. In this blog, we will look at real problems you might face. You will see simple fixes.

You will learn how to make Dynamics 365 run faster. By the end, you will know exactly how to approach common slowdowns. You will also discover when to contact dax software experts if you need extra help.

What Causes Slow Performance?

Before we dive into scenarios, let’s remind ourselves of the basics. Dynamics 365 is a cloud-based system. It relies on many moving parts. If one part is slow, the whole user experience can stall. Often, the issues fall into these categories:

• Form Design: Too many fields, tabs, or business rules.
• Plugins and Custom Code: Poorly written code or too many synchronous operations.
• Queries and Views: Records that rely on inefficient filters or lack proper indexes.
• Reports and Dashboards: Large data sets processed on the fly.
• Workflows and Flows: Complex, sequential logic that runs for many records.
• Network and Browser: Slow internet or outdated browser settings.
• Database Performance: Missing indexes or high volume of data without archiving.

We will address each area. For each scenario, we will show a real-world problem and a clear fix. Simple steps can save hours of frustration. And if you need expert support, remember our team at DAX Software will guide you.

Scenario 1: Slow Form Loading Due to Large Forms

Problem

The sales team complains that the opportunity form takes 15 seconds to load. They must wait before they can record a call or update the stages. This slows down their work and hurts productivity.

The opportunity form has five tabs. Each tab holds over 50 fields. There are many business rules active on load. Some fields pull data from related entities. The result is a long wait each time a user opens a record.

Why It Happens

• Too Many Fields: Every field adds a call to the server.
• Business Rules and Scripts: Each rule or script, on load, fires another query.
• Lookups to Other Entities: Pulling data from related tables delays rendering.
• Form Scripting: Synchronous scripts block further processing until they finish.

Fix

1. Remove Unused Fields

• Speak with users. Identify fields they rarely use.
• Move seldom-used fields to a separate entity or a quick view form.
• Only show critical fields on the main form.

        2. Simplify Sections and Tabs

• Combine similar fields into one section.
• Collapse tabs that only hold reference or read-only data.
• Use business logic to show or hide fields only when needed.

        3. Use Lazy Loading for Tabs

• Dynamics 365 supports tab-based data loading.
• Configure secondary tabs to load only when clicked.
• This slashes initial load time.

        4. Review Business Rules and Scripts

• Audit business rules on form load. Disable rules not needed right away.
• Convert synchronous scripts to asynchronous ones where possible.
• Batch related logic into a single script to reduce calls.

         5. Optimize Lookups

• Limit lookup views to only essential columns.
• Use indexed fields for lookups, not free-text fields.
• If a lookup is used rarely, load it on demand via a custom button or script.

         6. Test with the Right Tools

• Use Browser Developer Tools (F12) to measure load times for each request.
• Enable Performance Center in Dynamics 365 to track plugin and workflow durations.

          7. Monitor Real User Metrics

• Capture user sessions in Application Insights or a similar tool.
• Identify spikes in load times and trace them back to form elements.

Outcome
After the team removed unused fields and set up lazy loading, load time dropped to under 3 seconds. The sales reps could open records quickly and record updates in real time. Productivity rose immediately.

Scenario 2: Slow Reports and Dashboards

Problem

Every Monday, the operations team complains. Weekly performance dashboards take over two minutes to render. During peak times, it even times out. They need to view sales numbers for the past month and drill into charts. But the system cannot keep up.

Why It Happens

• Large Data Sets: The dashboard pulls data from multiple entities with millions of records.
• Complex FetchXML Queries: The queries have many filters and nested joins.
• On-the-fly Aggregation: Summarizing millions of rows each time slows rendering.
• Lack of Caching: No mechanism to cache frequently used data.

Fix

1. Limit Data Scope

• Replace “ALL” filters with date ranges. For example, only pull the past 30 or 90 days.
• Encourage users to select specific segments instead of pulling entire data sets.

        2. Use Aggregated Views

• Create a combined entity or view that pre-aggregates data at the monthly or weekly level.
• Use Azure Data Lake or Power BI to schedule nightly aggregation jobs.

         3. Optimize FetchXML Queries

• Avoid “Contains” clauses on non-indexed fields.
• Use indexed columns in filters first. For example, filter on “createdon” before non-indexed fields.
• Simplify joins. Each join adds overhead.

         4. Leverage Power BI for Heavy Reporting

• Move complex dashboards to Power BI.
• Use DirectQuery or Import modes to handle large data sets.
• Embed Power BI reports in Dynamics 365 to maintain a unified experience.

         5. Enable Caching

• Use Dynamics 365’s inbuilt server-side caching for charts and views.
• For custom pages, implement Azure Redis Cache to store frequent query results.

         6. Use SQL Views for Data Warehouse

• Set up a SQL Data Warehouse that syncs nightly with Dynamics 365.
• Create indexed views on common queries.
• Point dashboards to these views instead of the live database.

          7. Monitor Performance in Production

• Use the Performance Center to analyze dashboard load times.
• Identify the slowest queries and examine their execution plans.
• Add missing indexes or rewrite queries that do table scans.

Outcome
After these changes, the operations team saw dashboards load in under 10 seconds. They could filter by region or product instantly. Shifting heavy visuals to Power BI allowed Dynamics 365 to focus on transaction processing, not report rendering.

Scenario 3: Plugins Causing Delays

Problem

A finance process requires creating an invoice and updating related custom entities. The plugin that copies data and calculates taxes now runs synchronously. When an account manager posts an order, they must wait 20 seconds before seeing the invoice. If multiple users post orders simultaneously, the system frequently times out.

Why It Happens

• Synchronous Execution: The plugin blocks the main thread.
• Heavy Business Logic: The plugin calls external services, performs loops over many records, or makes multiple update calls.
• No Batching: Each record update triggers a separate service call.
• Improper Registration: The plugin is registered in the Pre-Operation stage, causing locks on the record.

Fix

1. Switch to Asynchronous Processing

• Change the plugin step to run asynchronously when immediate feedback is not required.
• For tax calculations, consider a background job that updates the record later.
• Notify the user with a status change once processing is complete.

         2. Review Code Efficiency

• Remove loops that make repeated service calls.
• Use QueryExpression or FetchXML to retrieve all needed records in a single call.
• Minimize calls to external services. If external data is needed, cache results in Azure Table Storage or a custom entity.

          3. Combine Updates into a Single Batch

• Use the ExecuteMultipleRequest to batch multiple update/create requests.
• Reduces round trips to the server and lowers locking issues.

        4. Register Plugins in Optimal Stage

• If you only need to validate data before saving, use PreValidation.
• If the data is ready to save, use PostOperation to ensure the core transaction completes first.
• Avoid synchronous Plugins on frequently used entities like Account or Opportunity.

        5. Use Plugin Profiling and Tracing

• Enable the Plugin Trace Log to capture execution times.
• Use Visual Studio and the Plugin Profiler to debug slow sections.
• Look for methods that take the longest and rewrite them.

         6. Follow Best Practices

• Keep plugin methods under 1 second if possible.
• Avoid using LINQ over large datasets. Instead, filter at the server.
• Use early exits in code when no processing is necessary.

         7. Test in a Load Environment

• Create a staging environment with a production-like data volume.
• Simulate multiple users creating invoices at the same time.
• Measure plugin execution times and adjust code as needed.

Outcome
After moving the heavy logic to an asynchronous plugin, invoice posting time fell to under 3 seconds. The finance team no longer sees timeouts during peak posting times. Background tasks run smoothly without interrupting user flow.

Scenario 4: Inefficient Queries and Views

Problem

The service desk team complains that their main view, “Open Cases by Priority,” takes over 30 seconds to load. They often click to sort by case number or filter by region. Each action adds another 20 to 30 seconds of wait time. Users lose time and patience.

Why It Happens

• Non-Indexed Fields: The view filters on “Priority” (a custom option set) and “Region” (a text field). Only “Priority” is indexed.
• Complex Joins: The view shows data from the Case, Account, and Contact entities.
• No Paging: Out of 200,000 cases, the view tries to load all 10,000 matching records at once.
• Inefficient FetchXML: Contains nested filter expressions that force full scans.

Fix

1. Index Important Columns

• Identify columns frequently used in filters or sorting.\
• Create indexes on “Region” or convert it to a choice (option set) if possible.
• Ask the DBA to update index statistics regularly.

         2. Limit Columns in View

• Only include columns absolutely necessary: case number, priority, and owner.
• Move secondary info (e.g., contact email) to a quick view or form.

         3. Simplify Joins

• Avoid pulling in fields from Account or Contact if they are not used.
• If needed, create a denormalized entity that stores key Account or Contact data on the Case record.

         4. Use Server-Side Paging

• Dynamics 365 quirks may load large sets. Enable paging in FetchXML.
• Limit the default view to the first 50 or 100 records.
• Encourage users to refine filters when searching.

      5. Create a Custom Indexed View

• If you have access to the on-premise SQL instance, build an indexed view with pre-joined data.
• Use SQL Server Management Studio to script the view.
• Point Dynamics 365 to this view for reporting. (Note: Only available on on-premise or IaaS setups.)

        6. Audit and Rewrite FetchXML

• Use the FetchXML builder in XrmToolBox to analyze execution plans.
• Avoid using “LIKE ‘%value%’” clauses. Use “equals” or “begins-with” where possible.
• Flatten nested filters into a simpler “AND” or “OR” sequence.

        7. Use Quick Find vs. Custom Views

• Quick Find is optimized with full-text search indexes.
• If users search by text fields, leverage Quick Find instead of custom views.

        8. Monitor View Usage

• Enable Audit on view load times.
• Identify low-use views and retire them.
• Consolidate similar views into parameterized dashboards or charts.

Outcome
After adding an index to the Region field and simplifying the view, load time dropped to under 5 seconds. Agents could sort and filter without delay. The service desk team regained valuable minutes every day.

Scenario 5: Large Data Volume Impacting API Calls

Problem

An integration pushes thousands of records from an external system into Dynamics 365 each hour. After six months, the integration slows. Canceled orders still exist in the system. Each push must check for duplicates, update existing records, and insert new ones. The integration time balloons from 5 minutes to 30 minutes.

Why It Happens

• High Volume of Data: Millions of records in the target entity.
• Inefficient Duplicate Checks: Each record triggers a “RetrieveMultiple” call to check for matches.
• No Batch Processing: Records processed one at a time.
• Lack of Archiving: Old or canceled orders are not moved out.

Fix

1. Archive Old Records

• Move closed or canceled orders older than 12 months to a separate entity or database.
• Use Azure Data Factory or Power Automate to schedule monthly archiving.
• Keep only active or recent orders in the main entity.

        2. Use Bulk Operations

• Switch from single Create or Update calls to ExecuteMultipleRequest.
• Batch 100 records per request. This reduces round-trip time drastically.

        3. Optimize Duplicate Detection

• Populate an alternate key (e.g., “Order Number”) on the entity.
• Avoid custom “RetrieveMultiple” calls; let Dynamics 365 handle duplicates via the alternate key.
• If alternate keys are not possible, use a single query that checks all orders in one call instead of per record.

        4. Implement Staging Tables

• Instead of pushing directly to Dynamics 365, land data in an Azure SQL staging table.
• Use Azure Functions or Logic Apps to process data in bulk.
• Update Dynamics 365 using batch operations.

        5. Leverage Change Tracking

• If your external system supports change tracking, send only changes.
• Reduces the number of records processed per hour.

        6. Use Parallel Processing

• Split the data set into chunks.
• Run multiple threads or Azure Functions in parallel.
• Ensure throttling settings in Dynamics 365 are respected (maximum 4,000 calls per minute).

        7. Monitor and Tune Throughput

• Use Azure Monitor to track API call usage and error rates.
• Adjust time windows to avoid peak hours.

Outcome
By archiving old orders and using batch operations, the integration time dropped to 4 minutes. The external system could sync data hourly without conflict. The archived data remained accessible for reporting in a separate Power BI dashboard.

Scenario 6: Poorly Configured SSRS Reports

Problem

Every quarter, the finance team runs a detailed sales report. The report draws data from Dynamics 365 and other systems. It contains multiple grouping levels and custom expressions. Running it on the SSRS portal takes over 3 minutes. Exporting to Excel sometimes fails due to a timeout.

Why It Happens

• Complex Joins Across Entities: The report uses “linked reports” that join Dynamics 365 data with SQL data from another system.
• No Parameters: The report fetches all sales data for the quarter, even if the user only needs a single region.
• Heavy Expressions: Many “IIF” and “Switch” statements processed at render time.
• Lack of Dataset Caching: Each run rebuilds the dataset.

Fix

1. Add Parameters and Filters

• Allow users to select a region or date range at the top of the report.
• Pass parameters down to the main dataset query.
• This reduces the data volume returned.

        2. Optimize SQL Queries

• Move complex logic from SSRS to a SQL stored procedure.
• In the stored procedure, leverage proper indexes.
• Only return columns needed for the report.

        3. Use Pre-Aggregated Tables

• In your Data Warehouse, create summary tables at daily or weekly granularity.
• Point SSRS datasets to these tables.
• This shifts heavy aggregation to the data load process, not the report.

        4. Enable Dataset Caching

• Configure SSRS to cache the report for a short time.
• If multiple users run the report, the first run populates the cache.
• Subsequent runs deliver results from the cache.

        5. Simplify Expressions

• Replace nested “IIF” statements with case statements in SQL.
• Use lookup tables instead of embedding static lists in SSRS.

        6. Paginate the Report

• Break the report into sections or sub-reports that load separately.
• For example, load summary data first, then drill down into sections only when requested.

         7. Monitor Execution Plans

• Use SQL Server Profiler to capture the query execution plan.
• Identify missing indexes or table scans.
• Ask the DBA to add or rebuild indexes.

Outcome
With parameterized queries, pre-aggregated tables, and dataset caching, the report now runs in under 30 seconds. Exporting to Excel works smoothly. Finance can focus on insights rather than waiting for data.

Scenario 7: Workflow and Power Automate Slowness

Problem

The HR team set up a workflow to send an email to a manager when a new employee record is created. Later, they added more steps: create a user in Azure AD, assign a security role, and post a welcome message in Teams. Now, HR complains it takes hours before the new user sees the welcome email. Sometimes, the flow even fails.

Why It Happens

• Single Sequential Flow: All steps run one after another. If one step fails, the rest wait.
• External Connectors: Calling Azure AD and Teams APIs adds extra latency.
• Retry Logic: Default retry policies can delay the flow by minutes.
• No Error Handling: Failures cause the whole process to stop.

Fix

1. Split Into Multiple Flows

• Use one flow for record creation and initial steps (send HR email, set a flag).
• Trigger a separate flow when the flag changes (Azure AD provisioning, role assignment).
• Use an “On Field Change” trigger instead of running all logic at once.

        2. Use Parallel Branches

• Where possible, run independent actions in parallel.
• For instance, send an email and post a Teams message at the same time.

        3. Minimize External Calls

• If user creation can be done in bulk, batch it nightly instead of per record.
• Cache tokens for Azure AD to reduce authentication overhead.

        4. Implement Retry Policies Wisely

• Lower the retry count for external connectors with known rate limits.
• Add a timeout for each step to fail fast and trigger compensation logic.

        5. Add Error Handling and Notification

• Use “Configure Run After” settings to catch failures.
• Send an alert email to an admin if provisioning fails.
• Log errors in a custom entity for audit and resolution.

        6. Monitor Flow Performance

• In Power Platform Admin Center, view the flow run history.
• Look for steps that take the longest.
• Adjust connectors or consider alternative approaches (e.g., Azure Logic Apps for heavy workloads).

        7. Optimize Dynamics 365 Triggers

• Instead of “When a record is created,” use “When a record meets a condition.”
• This avoids unnecessary flow runs for records that do not meet the criteria.

Outcome
After splitting the flow and adding parallel branches, new user records trigger near-instant emails and Teams posts. Azure AD provisioning moves to a nightly batch, making the process fast and reliable. HR only sees a slight delay for provisioning, not hours of waiting.

Scenario 8: Client-Side Scripting Inefficiencies

Problem

The marketing team has a custom JavaScript that calculates discount tiers on the opportunity form. After adding more nested functions and event handlers, the form lags. Users need to wait 10 seconds after updating a field before they see the discount calculated.

Why It Happens

• Multiple Event Handlers: Each field update triggers several functions.
• Synchronous XMLHttpRequests: The script calls custom APIs to fetch discount rules in real time.
• Heavy DOM Manipulation: The script loops through all fields on the form to hide or show sections.

Fix

1. Debounce Input Events

• Use a small delay (e.g., 300ms) before running the script when the user types.
• This way, functions only fire when the user pauses typing.

         2. Asynchronous API Calls

• Replace synchronous XMLHttpRequests with asynchronous fetch or Xrm.WebApi calls.
• Show a loading spinner instead of freezing the form.

          3. Cache Discount Rules

• Instead of calling the server on every field change, fetch discount rules once when the form loads.
• Store rules in a JavaScript object or browser session storage.
• Use cached values for subsequent calculations.

          4. Minimize DOM Traversal

• Use CSS classes or data attributes to mark fields that need hiding or showing.
• Avoid looping through every field; target only those that matter.

          5. Bundle and Minify Scripts

• Combine all scripts into a single file.
• Use a build process (e.g., Webpack) to minify code.
• This reduces load time and parsing overhead.

          6. Leverage Form Context

• Use context.getFormContext() instead of global calls.
• This ensures you only interact with the current form, not all frames.

           7. Test on Different Browsers

• Sometimes scripts run slower in older browser versions.
• Ensure recommended browsers (Edge, Chrome) are used with the latest updates.

          8. Profile JavaScript Performance

• Use Browser DevTools to record JavaScript CPU usage.
• Identify functions that take the longest.
• Refactor or rewrite them.

Outcome
By caching discount rules and switching to asynchronous calls, the form calculates discounts instantly. The marketing team noticed no lag. Bundled scripts cut load time by 20%. The user experience felt smooth and fast.

Scenario 9: Network Latency and Browser Issues

Problem

A regional office in South America reports that forms take 10 seconds longer than users in the US. They sit on a slow connection. They also use an old version of Internet Explorer. The team at headquarters wonders why the system feels so sluggish there.

Why It Happens

• Geographically Distant Datacenter: Data travels farther, adding latency.
• Older Browser: Legacy browsers do not support newer optimizations like HTTP/2.
• Uncompressed Assets: JavaScript and CSS files load uncompressed, taking longer to download.
• No CDN: All assets come directly from the main server.

Fix

1. Use Local Regions

• If possible, deploy Dynamics 365 in a region closer to end users.
• Microsoft has multiple data centers. Choose one near your user base.

        2. Upgrade Browser Standards

• Encourage users to switch to Edge or Chrome.
• Enforce minimum browser versions via a policy.

        3. Enable Compression

• Dynamics 365 already delivers compressed files, but ensure custom web resources are zipped (gzip).
• Configure web servers to compress CSS and JS.

        4. Leverage a CDN

• Host custom web resources on a CDN like Azure Blob Storage with CDN enabled.
• This ensures faster delivery of scripts, images, and stylesheets.

        5. Implement HTTP/2

• If you run Dynamics 365 on-premise or via IaaS, enable HTTP/2 on the web server.
• This allows multiple files to download in parallel over a single connection.

       6. Use Offline Mode for High Latency

• Dynamics 365 offers an offline client.
• For offices with intermittent or slow networks, sync data offline and work locally.
• This reduces constant calls to the server for read-only tasks.

        7. Monitor Network Calls

• Have users install a network monitoring tool like Fiddler or the DevTools Network tab.
• Identify large downloads or slow requests.
• Work with IT to fix DNS or proxy issues.

Outcome
After enabling a local region and having users upgrade browsers, load times in South America dropped by 60%. Custom scripts hosted on a CDN load in a fraction of the time. The office now works as smoothly as headquarters.

Scenario 10: Database Indexes and Table Fragmentation

Problem

Over two years, the data in a custom “Project” entity ballooned to 2 million records. Users run a simple view to find active projects. That view now times out. Even indexed columns seem slow. The DBA admits that index fragmentation is high. The server CPU is pegged at 90% when running queries.

Why It Happens

• High Data Volume: Millions of project records.
• Fragmented Indexes: SQL indexes are split into many pages.
• Outdated Statistics: Query optimizer uses stale data distribution info.
• Large Table Scans: Search queries that do not leverage indexes properly.

Fix

1. Rebuild or Reorganize Indexes

• Use SQL Server Management Studio to check fragmentation levels.
• For fragmentation over 30%, rebuild the index.
• For 10–30% fragmentation, reorganize.
• Schedule this during off-hours.

         2. Update Statistics

• Run UPDATE STATISTICS on key tables.
• The optimizer will use fresh data distribution to choose better execution plans.

         3. Partition Large Tables

• If on-premise or IaaS, set up table partitioning by date or a logical range (e.g., project status).
• This makes scans faster since SQL only touches relevant partitions.

        4. Archive Old Projects

• Move completed projects older than 2 years to an archive database or table.
• Keep only active or recent projects in the main table.

        5. Add Filtered Indexes

• If most queries select only “Active” projects, create an index on Status = ‘Active’.
• Filtered indexes are smaller and faster.

        6. Review Execution Plans

• Capture slow query plans using SQL Profiler.
• Look for missing index recommendations.
• Ask the DBA to implement key indexes based on these suggestions.

        7. Optimize Custom Entity Settings

• In Dynamics 365, disable auditing on fields that don’t need it.
• Turn off change tracking for entities with very high volume if real-time change events are not needed.

         8. Implement a Data Retention Policy

• Set rules for how long data stays in the system.
• Use Power Automate to delete or archive records after a certain age.
• Ensure compliance needs are met before deleting.

Outcome
With defragmented indexes and updated statistics, the “Active Projects” view now runs in under 5 seconds. The server CPU usage dropped by half. Users no longer face timeouts during critical searches.

How to Optimize Dynamics 365 Performance Overall

Now that we have walked through common slow scenarios, let’s tie everything together. Here are universal tips that apply across all situations:

1. Adopt a Performance Culture

• Make performance a shared responsibility.
• Include performance checks in every deployment plan.
• Train admins and developers to use the Performance Center regularly.

        2. Use Application Insights or New Relic

• Set up real user monitoring (RUM) to gather metrics from browsers.
• Track average response times, server failures, and user locations.
• Use this data to pinpoint when and where issues occur.

        3. Perform Regular Health Checks

• Schedule quarterly checkups on form load times, plugin durations, and workflow queue lengths.
• Document baselines and compare after changes or upgrades.

        4. Leverage Out-of-the-Box Features

• Dynamics 365 comes with features like auto-indexing, role-based forms, and modern client caching.
• Keep your system updated to the latest version to benefit from performance improvements.

        5. Archive and Retire

• Not everything belongs in the live system.
• Archive old data to a separate database or Data Lake.
• Retire unused forms, views, and workflows to reduce clutter.

        6. Optimize Customizations

• Always measure the performance impact of new custom code.
• Use the Plugin Trace Log to catch slow plugins early.
• Review JavaScript and HTML web resources for bottlenecks.

        7. Engage Users for Feedback

• Ask end users which forms or views feel slow.
• Survey them after changes to ensure improvements are real.
• Prioritize fixes based on actual business impact.

         8. Plan for Growth

• If you expect your data volume to double in the next year, plan indexing and storage accordingly.
• Build environments that scale horizontally, not just vertically.
• Use Azure SQL elastic pools or other elastic database tools to manage spikes.

         9. Use Sandboxes for Testing

• Always test changes in a sandbox with similar data volume.
• Do not rely on a small development instance for performance testing.
• Use a copy of production data (masked for privacy) to catch issues early.

        10. Partner with Experts

• When in doubt, consult experienced teams.
• Expert consultancies can run deep performance audits.
• They can also advise on architectural changes, hardware sizing, and future roadmaps.

By following these best practices, you ensure that your Dynamics 365 system remains fast, reliable, and ready for growth. Performance is not a one-time effort. It requires continuous attention as your data grows, new features roll out, and user patterns change.

When to Contact DAX Software Experts?

Despite best efforts, some performance issues need a deeper dive. At DAX Software, we have seen nearly every challenge imaginable in Dynamics 365 environments. Here are signs you might need expert help:

• Persistent Slowdowns: Forms still load slowly after all optimizations.
• Complex Integrations: Custom integrations that push or pull millions of records.
• Mission-Critical Reports: Dashboards that fail during peak business hours.
• Global User Base: Offices in multiple regions complaining of latency.
• Large-Scale Customizations: Plugins, custom APIs, and web resources heavily used.
• Upgrades and Migrations: You plan to move to a new version or migrate data.
• Budget Constraints: You want to maximize ROI with existing hardware and licenses.
• Security and Compliance: Performance changes must meet strict regulatory requirements.

Our team can perform a thorough performance audit. We use tools like Azure Monitor, Application Insights, Browser DevTools, and advanced SQL profiling. We provide a clear roadmap. We help you implement changes quickly. Our goal is simple: to get your system running smoothly so your users can focus on work, not wait times.

Contact DAX Software Experts today. We will analyze your system for free, share a high-level report, and show you where to start. If you are already working with a partner, ask them to run a health check. If not, we are here to help.

Conclusion

Slow Dynamics 365 performance does not have to be the norm. Real-world scenarios—from large forms and reports to plugins and workflows—often hide simple fixes.

By removing unused fields, batching operations, indexing critical columns, archiving old data, and optimizing code, you can turn a sluggish system into a responsive one.

If challenges persist or your setup is highly complex, don’t hesitate to contact dax software experts.

Our team at DAX Software loves solving tough problems. We will ensure your Dynamics 365 environment not only meets but exceeds performance expectations.