Refreshing large datasets in Power BI can become time-consuming and resource-intensive as data volume grows. If your reports are based on millions of rows of historical data, refreshing everything daily is neither efficient nor necessary. This is where Incremental Refresh comes in. It allows Power BI to only refresh new or changed data, drastically improving performance and reducing load on your data source. In this blog, you’ll learn how to set up incremental refresh step-by-step—so your Power BI reports stay fast and efficient even with big data. What Is Incremental Refresh in Power BI? Incremental Refresh enables Power BI to load data in partitions, refreshing only the latest ones (e.g., the past 7 days) while keeping the older data static. Why use it? Step 1: Define Parameters in Power Query ·  Open your report in Power BI Desktop (Pro or Premium workspace) ·  Go to Transform Data (Power Query Editor) ·  Create two parameters: ·  Set default values (e.g., RangeStart = 01/01/2020, RangeEnd = 01/01/2021) Step 2: Filter Your Data with These Parameters This tells Power BI what time range to load and eventually refresh incrementally. Step 3: Enable Incremental Refresh in Data Model 📝 Example: This configuration refreshes only the recent week of data each time, while keeping the rest intact. Step 4: Publish to Power BI Service ✅ Done! You’ve now implemented incremental refresh. Best Practices To conclude, Incremental Refresh is a game-changer when it comes to handling large datasets in Power BI. It not only saves refresh time but also optimizes resource usage. By learning how to configure it properly, you can scale your reports with confidence and efficiency Got a large dataset slowing down your Power BI refresh? Implement Incremental Refresh today and see the difference. Explore more Power BI performance tips in our blog series—or reach out for help setting up enterprise-grade models. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com

Generating SSRS (SQL Server Reporting Services) reports from within Power Pages becomes more complex in environments secured by Multi-Factor Authentication (MFA). Traditional approaches that work in basic environments tend to fail silently or inconsistently when MFA, session tokens, or cookie-based auth are involved. In this blog, I’ll share a real-world solution where a Project-based SSRS report was generated securely, sent via email, and optionally downloaded — all within the constraints of a Power Pages + Power Automate architecture in a Dynamics 365 MFA-protected environment. Step 1: Pre-Outline Brief Pain Points Solved: Step 2: Core Content Scenario Overview Problem Statement Standard HTTP-based retrieval of SSRS reports using the Reserved.ReportViewerWebControl.axd endpoint fails in MFA-protected environments due to missing browser session cookies. This often results in 302 redirects or HTML-based error messages that cannot be processed by Power Automate. Initial Approach and Issue A flow was constructed to: The Project ID is captured from Power Pages and passed to a Power Automate flow using an HTTP trigger, which is initiated when a user clicks a button on the portal—triggered via embedded JavaScript. Build the SSRS report URL dynamically. Compose -> PDF Download Start – Index -> Compose -> PDF Download String Length -> Compose -> PDF Download URL -> (Replaced the PrintOnOpen=true parameter with PrintOnOpen=false in the report export URL to prevent the print dialog from automatically appearing when the PDF is opened) Perform an HTTP GET request to download the report. This failed consistently on the first try due to the report session page not being fully ready or authenticated, especially in an MFA environment. Working Solution: Retry with Delay in Power Automate To overcome the session-based delay, we implemented a retry pattern inside Power Automate: Outcome: The flow fails the first time (as expected), but succeeds on the second or third retry as the session becomes valid and the SSRS report is available. Power Automate Configuration Highlights: Added a Scope block after the first HTTP request and set the Configure run after to Skipped and Failed If needed, you can add the third delay if the second one fails. Benefits of This Approach: To conclude, sometimes, achieving reliability in secure environments isn’t about complex code—it’s about using the right orchestration patterns. By strategically delaying and retrying the HTTP request to SSRS within Power Automate, we achieved consistent, secure report generation that works even under MFA constraints. 🔗 Need help implementing this retry-based flow in your environment?Reach out to CloudFronts—we help businesses implement scalable, reliable solutions every day. You can contact us directly at transform@cloudfronts.com.

Sending emails programmatically in Microsoft Dynamics 365 Business Central (BC) is a common requirement for customization be it sending invoices, reminders, or notifications. With the release of enhanced email capabilities in recent versions, AL developers can now include CC (Carbon Copy) and BCC (Blind Carbon Copy) recipients when sending emails. In this blog, we’ll walk through how to send an email in Business Central using AL and how to include CC and BCC fields effectively. Steps to Achieve goal: Code for example. procedure SendInvoiceEmail(var PurchaseInvHeader: Record “Purch. Inv. Header”): BooleanvarEmailAccount: Codeunit “Email Account”;EmailMessage: Codeunit “Email Message”;Email: Codeunit Email;PurchaseInvLine: Record “Purch. Inv. Line”;Vendor: Record Vendor;Item: Record Item;Currency: Record Currency;CurrencySymbol: Text;ItemDescription: Text[2048];ItemNumber: Code[30];TotalAmount: Decimal;Link: Text[2048];EmailType: Enum “Email Recipient Type”;begin// Get vendor informationVendor.SetRange(“No.”, PurchaseInvHeader.”Buy-from Vendor No.”);if Vendor.FindFirst() then; // Process purchase invoice linesPurchaseInvLine.SetRange(“Document No.”, PurchaseInvHeader.”No.”);PurchaseInvLine.SetFilter(Quantity, ‘<>%1’, 0);if PurchaseInvLine.FindSet() then repeat Item.Reset(); Item.SetRange(“No.”, PurchaseInvLine.”No.”); Item.SetRange(“Second Hand Goods”, true); // Example filter if Item.FindFirst() then begin ItemDescription := PurchaseInvLine.Description; ItemNumber := PurchaseInvLine.”No.”; TotalAmount += PurchaseInvLine.”Amount Including VAT”; Currency.SetRange(Code, PurchaseInvHeader.”Currency Code”); if Currency.FindFirst() then CurrencySymbol := Currency.Symbol else CurrencySymbol := ‘€’; // Default symbol end; until PurchaseInvLine.Next() = 0; // Generate a form link with dynamic query parameters (example only)Link := ‘https://your-form-url.com?vendor=’ + Vendor.”No.” + ‘&invoice=’ + PurchaseInvHeader.”No.”; // Create and configure the emailEmailMessage.Create( Vendor.”E-Mail”, ‘Subject: Review Your Invoice’, ‘Hello ‘ + Vendor.Name + ‘,<br><br>’ + ‘Please review the invoice details for item: ‘ + ItemDescription + ‘<br>’ + ‘Total: ‘ + Format(TotalAmount) + ‘ ‘ + CurrencySymbol + ‘<br>’ + ‘Form Link: <a href=”‘ + Link + ‘”>Click here</a><br><br>’ + ‘Best regards,<br>Your Company Name’, true // IsBodyHtml); // Add BCC (could also use AddCc)EmailMessage.AddRecipient(EmailType::BCC, ‘example@yourdomain.com’); // Update invoice status or flags (optional business logic)PurchaseInvHeader.”Custom Status Field” := PurchaseInvHeader.”Custom Status Field”::Started;PurchaseInvHeader.Modify(); // Send the emailexit(Email.Send(EmailMessage)); end; To conclude, sending emails directly from AL in Business Central is a powerful way to streamline communication with vendors, customers, and internal users. By leveraging the Email Message and Email codeunits, developers can easily customize the subject, body, and recipients, including support for CC and BCC fields. This flexibility makes it easy to automate notifications, document sharing, or approval requests directly from your business logic. Whether you’re integrating forms, sending invoices, or just keeping stakeholders in the loop, this approach ensures your extensions are both professional and user-friendly. With just a few lines of code, you can improve efficiency and enhance communication across your organization. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com

In today’s world, AI is no longer a luxury—it’s a necessity for driving smarter decisions, faster innovation, and personalized experiences. We have come up with our requirements for AI to support the conversion from MQL (Marketing Qualified Lead) to SQL (Sales Qualified Lead). How did the idea originate? In our organization, whenever a prospect reaches out to us, we search for company information like company size, revenue, location, industry type, contact person details, designation, decision-maker, and LinkedIn profile. This information helps the Sales team prepare better and deliver a stronger pitch by understanding the customer before the call. Also, during the MQL to SQL stage, we look for things like: This information helps the Sales team convert the prospect into a client and increases our chances of winning the deal. Earlier, this entire process was manual and time-consuming. So, we decided to automate it with an AI agent that can gather this information for us in just a few minutes. Implementation approach After the project was approved internally, we started exploring how to make it happen. Initially, we didn’t know where or how to start. During our research, we came across Copilot Studio, which allows us to build custom agents from scratch based on our needs. We learned about Copilot Studio’s and began building our agent. We named it Elevator Pitch. Version 1 Highlights: This feedback led to the idea for Version 2, which would automate more steps and also pull information from the internet. Version 2 Enhancements: Version 2 Features: Company & Contact information with a single click on MQL to SQL, the agent now generates the document within minutes—something that earlier used to take hours or even a full day. Live demo in Zurich & New York On 22nd May 2025, we had an event scheduled at the Microsoft office in Zurich with one of our clients, where we shared the Buchi journey with CloudFronts. We discussed how we collaborated to connect their multiple systems and prepared their data for insights and AI initiatives. At the same event, we had the opportunity to demonstrate our Smart Pitch product, which caught the audience’s attention. It was a proud moment for us to showcase our first AI product at the Microsoft office—delivered within just a few months of hard work. Our second opportunity came on 06 June 2025 in New York, at the AI Community Conference, where we presented again in front of a global audience. What Next in Version 3: So far, we have built this solution using Microsoft’s inbuilt Knowledge Center, ChatGPT API, SharePoint, company websites, and Dataverse. Since we were working with both structured and unstructured data, we faced some inconsistencies and performance issues. This led us to reflect and identify the need for Version 3 (V3), which will include: The development of Smart Pitch V3 is currently in progress. We’ll share our thoughts once it goes live. A demo video has also been shared, so you can see how smart and fast our Agent is at delivering useful insights. Delivering Answers in Minutes—Thanks to Smart Pitch I’d also like to share a quick story. One day, our Practice Manager was on leave, and we received a prospect inquiry about Project Operations to Business Central (PO-BC) pricing. I wasn’t sure where that information was stored, and suddenly our CEO asked me for the details. I was a bit stressed, unsure where to search or how to respond. Then I decided to ask our Smart Pitch agent the same question. To my surprise, the agent quickly gave me the exact information I needed. It was a big relief, and I was able to share the details with our CEO in just a few minutes—without even knowing where the document was uploaded. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

In any organization, maintaining accurate inventory records is critical—not only for operational efficiency but also for financial accuracy, reporting, and compliance. In Dynamics 365 Finance and Operations (D365 F&O), inventory is tracked from two perspectives: Physical inventory and financial inventory. While these two should ideally be aligned at all times, mismatches are common in practice. Whether caused by pending invoices, misconfigured settings, or improper transaction handling, discrepancies between physical and financial inventory can create confusion, misstatements in financials, and operational bottlenecks. This blog explains why these mismatches occur, how to detect and resolve them, and what best practices you can adopt to ensure alignment between physical and financial inventory in Dynamics 365 F&O. Before diving straight into the blog let us first understand what these Inventory mean so it becomes essential to understand the distinction between the two inventory layers in D365 FNO: A mismatch occurs when the physical quantity and the financial value or quantity of an item do not align, leading to inconsistencies between what’s physically available and what’s financially accounted for. Reasons for Mismatch How to Detect the Mismatch The below points can be considered to identify mismatches between physical and financial inventory in D365 FNO: Tips to resolve the mismatch Let’s take an example to get the better understanding: Suppose a business receives 100 units of an item on a purchase order. The receipt is physically posted, making the stock available in inventory. However, if the invoice is not posted, no financial value is recorded. This results in a positive physical quantity but zero financial value. Once the invoice is posted and inventory is closed or recalculated, the financial value is updated, resolving the mismatch. Best Practices to Prevent Inventory Mismatches To conclude, Inventory mismatches between physical and financial layers in D365 F&O are more than just system issues—they are business-critical challenges. These discrepancies can distort financial reporting, mislead operational planning, and expose the organization to audit risks. The good news is that they are entirely preventable. By understanding the causes, implementing regular checks, and following best practices such as prompt financial posting and scheduled inventory closes, you can maintain accurate, reliable inventory data. Achieving alignment between your physical and financial inventory ensures operational clarity and financial integrity—foundations that are essential for confident decision-making and long-term success. Hope this helps. Thanks for reading! We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

Are you looking for a reliable way to integrate Dynamics 365 CRM with external systems in real time? Polling APIs or scheduling batch jobs can delay updates and increase complexity. What if you could instantly notify external services when key events happen inside Dynamics 365?  This blog will show you how to use webhooks—an event-driven mechanism to trigger real-time updates and data exchange with external services, making your integrations faster and more efficient.  A webhook is a user-defined HTTP callback that is triggered by specific events. Instead of your external system repeatedly asking Dynamics 365 for updates, Dynamics 365 pushes updates to your service instantly.  Dynamics 365 supports registering webhooks through plugin steps that execute when specific messages (create, update, delete, etc.) occur. This approach provides low latency and ensures that your external systems always have fresh data.  This walkthrough covers the end-to-end process of configuring webhooks in Dynamics 365, registering them via plugins, and securely triggering external services.  What You Need to Get Started  Step 1: Create Your Webhook Endpoint  Step 2: Register Your Webhook in Dynamics 365  Step 3: Create a Plugin to Trigger the Webhook  public void Execute (IServiceProvider serviceProvider)  {     var notificationService = (IServiceEndpointNotificationService)serviceProvider.GetService(typeof(IServiceEndpointNotificationService));     Entity entity = (Entity)context.InputParameters[“Target”];     notificationService.Notify(“yourWebhookRegistrationName”, entity.ToEntityReference().Id.ToString()); }  Register this plugin step for your message (Create, Update, Delete) on the entity you want to monitor. Step 4: Test Your Webhook Integration  Step 5: Security and Best Practices Real-World Use Case A company wants to notify its external billing system immediately when a new invoice is created in Dynamics 365. By registering a webhook triggered by the Invoice creation event, the billing system receives data instantly and processes payment without delays or manual intervention.  To conclude, webhooks offer a powerful way to build real-time, event-driven integrations with Dynamics 365, reducing latency and complexity in your integration solutions.  We encourage you to start by creating a simple webhook endpoint and registering it with Dynamics 365 using plugins. This can transform how your CRM communicates with external systems.  For deeper technical support and advanced integration patterns, explore CloudFront’s resources or get in touch with our experts to accelerate your Dynamics 365 integration project. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

For growing businesses, efficient data management is as critical as streamlined processes and actionable reporting. As organizations scale, the volume and complexity of data stored in systems like Azure Files Share increase, necessitating robust, scalable storage solutions like Azure Blob Storage. Are you struggling to manage your file storage efficiently? If you’re looking to automate data migration from Azure Files Share to Azure Blob Storage using C#, this article is for you. Research shows that 70% of customers value seamless experiences with efficient systems, impacting brand loyalty. Businesses automating data management processes can reduce retrieval times by up to 90%, while organizations leveraging cloud storage solutions like Azure Blob Storage report a 25% increase in operational productivity and 60% improved satisfaction in data workflows. This article provides a structured guide to migrating data using C#, drawing from practical implementation insights to help Team Leads, CTOs, and CEOs optimize their data storage for scalability and efficiency. Why Migrate to Azure Blob Storage? Azure Files Share offers managed file shares via the Server Message Block (SMB) protocol, suitable for traditional file system needs. However, Azure Blob Storage excels in scalability, cost efficiency, and integration with advanced Azure services like Azure Data Lake and AI/ML workloads. Key benefits include: Migrating Data Using C#: A Step-by-Step Approach To migrate data from Azure Files Share to Azure Blob Storage programmatically, you can leverage C# with Azure SDKs. Below is a structured approach, referencing a C# implementation that uses a timer-triggered Azure Function to automate the process. Step 1: Set Up Your Environment Step 2: Design the Migration Logic The C# code uses an Azure Function triggered on a schedule (e.g., every 5 seconds) to process files. Key components include: Step 3: Execute the Migration Step 4: Optimize and Automate Step 5: Validate and Test A Glimpse of the C# Implementation The C# code leverages an Azure Function to automate migration. It connects to the file share, enumerates files, uploads them to a blob container, and deletes them from the source upon successful transfer. Key features include: This approach ensures minimal manual intervention and robust error handling, aligning with the needs of growing businesses. Benefits of Programmatic Migration Using C# for migration offers: To conclude, migrating data from Azure File Share to Azure Blob Storage using C# empowers growing businesses to achieve scalable, cost-efficient, and automated data management. By implementing a structured approach with Azure Functions, you can streamline operations and unlock advanced analytics capabilities. Evaluate your current data management processes and identify one area for improvement, such as automating file transfers with C#. Start today to enhance efficiency and customer satisfaction. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com.

We are pleased to announce that a leading US-based non-profit organization has partnered with CloudFronts for Dynamics 365 support & maintenance with a Managed Services Agreement (MSA).  Founded in 2010, the organization is headquartered in San Francisco, California, with additional offices in Amsterdam, Venlo, and Raleigh, North Carolina. It is dedicated to advancing sustainable product design through its Certified™ program, which emphasizes material health, product circularity, renewable energy, water stewardship, and social fairness. By supporting global organizations, the non-profit plays a key role in creating safer, recyclable, and more circular products that contribute to a sustainable future.  On this occasion, Priyesh Wagh, Practice Manager at CloudFronts, stated: ” Our first project with our client established a great way of working together, and we saw how we could take this implementation ahead and generate value through our work together. We are keen to look forward to building their systems that eases their customer service efforts. “  “Discover How We’ve Enabled Businesses Like Yours – Explore Our Client Testimonials!”    About CloudFronts  CloudFronts is a global AI- First Microsoft Solutions Partner for Business Applications, Data & AI, helping teams and organizations worldwide solve their complex business challenges with Microsoft Cloud, AI, and Azure Integration Services. We have a global presence with offices in U.S, Singapore & India.   Since its inception in 2012, CloudFronts has successfully served over 200+ small and medium-sized clients all over the world, such as North America, Europe, Australia, MENA, Maldives & India, with diverse experiences in sectors ranging from Professional Services, Financial Services, Manufacturing, Retail, Logistics/SCM, and Non-profits.    Please feel free to connect with us at transform@cloudfronts.com 

In today’s competitive landscape, the ability to prepare quickly and deliver relevant, high-impact sales conversations is more critical than ever. Sales teams often spend valuable time gathering case studies, reviewing past opportunities, and preparing client-specific messaging — time that could be better spent engaging prospects.  To address this, we developed “Smart Pitch” — a Microsoft Teams-integrated AI Copilot designed to equip our sales professionals with instant, contextual access to case studies, opportunity data, and procedural documentation.  Challenge  Sales professionals routinely face challenges such as:  These hurdles not only slow down the sales cycle but also affect the consistency and quality of conversations with prospects.  How It Works  Platform  Data Sources  CloudFronts SmartPitch pulls information from the following knowledge sources:  AI Integration  Key Features  MQL – SQL Summary Generator  Users can request MQL – SQL document which contains   The copilot prompts the user to provide the prospect name, contact person name, and client requirement. This is achieved via an adaptive card for better UX.  HTTP Request to Logic App At Logic App we used ChatGPT API to fetch company and client information  Extract the company location from the company information, and similarly, extract the industry as well.  Render it to custom copilot via request to the Logic App.  Use Generative answers node to display the results as required with proper formatting via prompt/Agent Instructions. Generative AI can also be instructed to directly create a formatted json based on parsed values.   This formatted Json can be passed to converted to an actual Json and is used to populate a liquid template for the MQL-SQL file to dynamically create MQL-SQL for every searched company and contact person. This returns an HTML File with dynamically populated company and contact details as well as similar case studies, and work with client in similar region and industry.   This triggers an auto download of the MQL-SQL created as a PDF file on your system.   Content Search  Users can ask questions related to –  Users can ask questions like   “Smart Pitch” searches SharePoint documents, public case studies, and the opportunity table to return relevant results — structured and easy to consume.  –Security & Governance  Integrated in Microsoft Teams, so the same authentication as Teams. Access to Dataverse and SharePoint is read-only and scoped to organizational permissions.  To conclude, Smart Pitch reflects our commitment to leveraging AI to drive business outcomes. By combining Microsoft’s AI ecosystem with our internal data strategy, we’ve created a practical and impactful sales assistant that improves productivity, accelerates deal cycles, and enhances client engagement. We hope you found this blog useful, and if you would like to discuss anything, you can reach out to us at transform@cloudfonts.com 

If you’re just starting with Dynamics 365 Finance and Operations (Dynamics 365 Finance & Operations) and confused about what Legal Entities, Companies, and Organizational Hierarchies mean, you’re not alone! Let’s break it down in simple terms. What is a Legal Entity? In Dynamics 365, a Legal Entity is an organization that can: Think of a Legal Entity as a registered company or business under the law. Microsoft Docs Reference: Legal entities overview What is a Company in Dynamics 365 Finance & Operations? Each Legal Entity is also referred to as a Company in the system. In the interface, you switch between Companies (Legal Entities) using a 4-character company ID (like USMF or INMF). Tip: Even if you manage multiple companies (e.g., one in India, one in the US), D365 can consolidate and report across them — provided they are set up as separate legal entities. What are Organizational Hierarchies? This is where the real power lies! Organizational Hierarchies define how different parts of your business interact and report to one another. You can set up hierarchies for: Example: A retail chain may have a parent legal entity, and underneath, different divisions like wholesale, online store, and physical stores — all structured in a hierarchy. Microsoft Docs Reference: Organizational hierarchies Real-World Example Let’s say you’re working for a construction company that operates in three countries: You’d set up each country as a Legal Entity (Company). Now, you want: Organizational Hierarchies let you define that.  What Can Be Shared Across Legal Entities? Microsoft allows some data to be shared across companies:  Data sharing and integration To conclude, if you’re evaluating Dynamics 365 Finance and Operations and wondering how to structure your organization within the system, we’d love to help you design it the right way. Whether you’re a startup expanding internationally or an enterprise optimizing operations, your legal entity and organizational structure are the foundation of your Dynamics365 system. Let’s build that foundation together. You can reach out to us at transform@cloudfonts.com.