How to create a scalable Power Platform governance model for growing adoption

As companies embrace AI and speed up their digital transformation, they need to keep up with the changing needs of modern workplaces. Many businesses want their IT teams to automate business processes more efficiently but without adding extra costs or hiring more people.

Power Platform offers a seamless, almost no-code design principled, well-integrated automation solution within the Microsoft 365 ecosystem for Microsoft users. Enabling citizen development empowers business users to create impactful digital solutions without relying on additional resources. However, with great power comes inherent risks, but with the proper governance, organizations can harness the full potential of the Power Platform securely and effectively.

Two words are bumping out: Citizen Development and Governance. Let’s discuss those a bit as part of the introduction.

Citizen development and Power Platform governance

Citizen development is key to enhancing organizational agility by enabling the rapid creation of solutions and optimizing business processes without the fundamental input of IT or other teams. The Power Platform empowers citizen developers by providing a flexible environment where they can innovate their way of working using intuitive tools. With its tools, business users can address challenges, build tailored solutions, and streamline digital experiences without the complexities of traditional development.

Governance, within or without the Power Platform, always refers to the policies, processes, and tools used to manage, secure, and oversee the usage of Power Apps, Power Automate, Power BI, and Copilot Studio (Former PVA) within an organization. Your governance ensures compliance, security, and efficient usage while enabling users to innovate.

Understanding the Power Platform tools

As the introduction mentions, the Power Platform offers tools that empower business users and developers to create custom applications, automate workflows, build web portals, and integrate AI-powered assistants. Let’s break down each component, compare them, and summarize the differences in a cheat sheet table.

Power Apps – App development made easy

Power Apps is a low-code/no-code application development platform that enables users to create custom apps for web and mobile devices. It allows business users to design user-friendly interfaces and connect to various data sources without extensive coding expertise.

Power Apps use cases

• Building internal business apps (e.g., expense trackers, approval apps, customer management apps).
  
• Replacing paper-based or manual processes with digital solutions.
  
• Create mobile-friendly apps by integrating Microsoft 365, Dynamics 365, Dataverse, and external systems.

Power Apps key features

• Drag-and-drop app builder.
  
• Connects to 2,000+ data sources (e.g., SharePoint, Dataverse, SQL).
  
• AI-powered capabilities via Power Automate and Copilot integration.
  
• Canvas (fully customizable UI) and Model-Driven (data-focused) apps.

Power Automate – Automating Workflows and Processes

Power Automate (formerly Microsoft Flow) is a cloud-based tool that allows users to create automated workflows between applications and services. It helps streamline business processes by reducing manual tasks and improving efficiency.

Power Automate use cases

• Send automated notifications and approvals (e.g., vacation requests, invoice approvals).
  
• Data synchronization between Microsoft 365 apps and external systems.
  
• Scheduled reporting, monitoring, and automated data entry.

Power Automate key features

• Workflow automation using low-code logic and conditions.
  
• Robotic Process Automation (RPA) to automate UI-based tasks.
  
• AI-driven process mining for efficiency analysis.
  
• Integration with Power Apps, Power Pages, and external systems.

Power Pages – Building external-facing websites

Power Pages is a low-code platform designed to create secure, data-driven websites. Unlike Power Apps, which focuses on internal apps, Power Pages is meant for public or external-facing web portals that can connect to business data and provide interactive experiences.

Power Pages use cases

• Customer self-service portals (e.g., support ticketing, knowledge bases).
  
• Community or partner portals for collaboration and secure access to data.
  
• Public-facing registration or feedback forms integrated with Dataverse.

Power Pages key features

• Drag-and-drop web builder with professional customization options.
  
• Secure access control for users and external guests.
  
• Seamless integration with Virtual Tables and Dataverse.
  
• Responsive design for desktop and mobile experiences.

Copilot Studio – AI-powered chatbots and virtual assistants

Copilot Studio (formerly Power Virtual Agents) is a tool for creating AI-driven conversational bots that assist users with tasks, answer questions, and automate interactions. These bots can integrate various data sources and services to provide intelligent, automated responses.

Copilot Studio use cases

• Customer service chatbots for handling inquiries and FAQs.
  
• Internal IT or HR bots for automating support requests.
  
• AI-powered assistants embedded in Microsoft Teams, websites, or apps.

Copilot Studio key features

• No-code bot building with AI-driven responses.
  
• Natural language processing (NLP) for better conversation understanding.
  
• Integration with Power Automate for advanced workflows.
  
• It can be embedded in Teams, Power Pages, or other digital platforms.

Comparison table – Power Platform cheat sheet

A more technical and detailed comparison table for Power Apps, Power Automate, Power Pages, and Copilot Studio covers architecture, development models, security, deployment, extensibility, and AI integration.

Feature	Power Apps	Power Automate	Power Pages	Copilot Studio
Purpose	Low-code/no-code app development (mobile & web)	Automate processes, tasks, and workflows	Create external-facing web portals	AI-powered chatbots & virtual agents
Development Model	Canvas Apps (drag & drop UI) and Model-Driven Apps (Dataverse-driven)	Cloud Flows (API-based), Desktop Flows (RPA), Process Mining (AI insights)	Portal-based web development (low-code, HTML/CSS customization)	AI-powered chatbot creation (NLP-based flows & Power Automate integration)
Architecture	Web-based designer, Dataverse, SQL, SharePoint, or API-based data sources	Event-driven, API-first, supports HTTP, Webhooks, AI-powered workflows	Managed Azure-hosted environment, integrates with Dataverse	Azure OpenAI & NLP models, API integrations, works in Microsoft Teams, Power Pages
Data Storage	Dataverse, SQL, SharePoint, Excel, Azure SQL, API connectors	Works with Dataverse, SQL, SharePoint, OneDrive, and third-party APIs	Dataverse backend supports SQL, SharePoint	Uses Dataverse for chat history and integrates with external APIs
Security & Access Control	Azure AD authentication, Role-based access (RBAC), MFA, Conditional Access	Secure API authentication (OAuth, API Keys, AAD), RPA secure credentials vault	Web Role Management, Authentication via AAD, Microsoft Entra, B2C, SAML, OAuth, Dataverse security model	AAD authentication, RBAC, Token-based security
Automation Capabilities	Integrated Power Automate Flows, AI-driven actions	Event-driven & scheduled automation, RPA with UI automation, AI Process Mining	Workflow automation with Power Automate, business logic via Dataverse plugins	Conversational AI automation, API-based triggers
AI Integration	Copilot for form generation, AI-driven recommendations, and AI Builder for vision and text analytics	AI-powered Process Mining, AI Builder integration for sentiment analysis, document processing	AI search and content generation via Copilot	Azure OpenAI, AI-based intent recognition, NLP processing
Customization & Extensibility	Custom connectors, Power Fx formulas, JavaScript (PCF controls), REST API calls	HTTP APIs, Webhooks, AI Builder, Adaptive Cards for Power Automate Desktop	Custom web templates (HTML, CSS, JS), Liquid Templates, Web APIs, Power Apps component integration	Azure Bot Framework, OpenAI API, Bot connectors, custom NLP models
User Experience (UX)	Drag-and-drop UI, responsive layouts, mobile-friendly	Automated process UI with adaptive cards, embedded approvals	Portal-based, supports Bootstrap, Liquid templating for advanced UX	Conversational interface with custom personality tuning
Integration with Microsoft 365	Tightly integrated with Teams, SharePoint, OneDrive, Dataverse	Automates actions in Outlook, SharePoint, Teams, Forms, Planner, and Dynamics 365	Embedded in Microsoft 365 & Power Apps, supports file storage & collaboration	Embedded in Teams, SharePoint, Dynamics 365, external websites
Integration with Microsoft 365	Tightly integrated with Teams, SharePoint, OneDrive, Dataverse	Automates actions in Outlook, SharePoint, Teams, Forms, Planner, and Dynamics 365	Embedded in Microsoft 365 & Power Apps, supports file storage & collaboration	Embedded in Teams, SharePoint, Dynamics 365, external websites
Development Language(s)	Power Fx, JavaScript (for PCF), REST APIs	Power Automate Expressions, JSON, Python (RPA scripts), UI Flows	Liquid, JavaScript, HTML, CSS, Power Automate Expressions	Azure Bot Framework SDK, Power Automate expressions, JSON for intent
Governance & Compliance	DLP (Data Loss Prevention) policies, Environment security (Dataverse managed)	Governance via managed connectors, logging, and approval processes	Web security policies, compliance with Microsoft Trust Center & GDPR	Security via AAD, Microsoft compliance framework, audit logging
Deployment & Hosting	Microsoft-managed, cloud-based	Cloud-hosted, with an optional on-premises gateway for hybrid automation	Azure-hosted, Dataverse-managed environments	Azure-hosted, integrates with external platforms
Licensing & Costs	Per-user or per-app licensing included in Power Platform plans	Per-flow, per-user, RPA licensing tiers	Page-view-based pricing, Dataverse storage costs	Usage-based (conversational AI transactions per bot session)
Use Case Examples	Employee onboarding apps. Field service apps, Expense approval apps	Auto-approving invoices, RPA automating legacy systems, Syncing CRM data	Customer self-service portal, Supplier registration sites, Event management portals	Customer support chatbot, IT Helpdesk automation, FAQ AI Assistant

5 best practices for Power Platform management

Effective Power Platform governance is vital for the efficient, secure, and effective management of applications and data. This overview highlights the importance of governance and emphasizes its nature as a living document. Before deep-diving into the seven essential best practices tailored for each organization (which I think – others might think differently), let’s explore the concept of Power Platform governance as a living document.

It should be viewed this way because it constantly evolves in response to technological advancements, organizational requirements, and regulatory changes. As the Power Platform rolls out new features and functionalities, the Power Platform governance framework must adapt to include best practices, insights gained, and user input.

1. Like in every digital workplace, data loss is real

Data Loss Prevention (DLP) policies serve as protective measures to prevent users from accidentally exposing sensitive organizational data and ensure the security of information within the tenant. These policies set rules for enabling connectors in each environment and how they can be combined. Connectors are categorized into three groups: business data only, no business data allowed, and blocked. A connector classified as “business data only” can only be paired with other connectors from the same group within the same app or flow.

Business and non-business classifications define the boundaries for which connectors can be used in each app or flow. DLP policies categorize connectors into the following groups:

• Business: A Power App or Power Automate resource can use multiple connectors from the business group. However, no non-business connectors can be included if a business connector is used.
• Non-business: A Power App or Power Automate resource can use multiple connectors from the non-business group. However, no business connectors can be included if a non-business connector is used.
• Blocked: Connectors in this group cannot be used in any Power Apps or Power Automate resources. This includes Microsoft-owned premium and third-party connectors (both standard and premium). However, Microsoft-owned standard and Common Data Service connectors cannot be blocked.

The terms “business” and “non-business” are simply labels and do not carry any inherent meaning—the classification itself, not the group names, determines how connectors can be used.

Creating a Policy is straightforward. Here is an example of the Syskit Production Data Policy: Only four connectors have been put into Business, and one has been blocked. This means I can only use SharePoint, Teams, Dataverse, and Outlook when building an application or creating a flow. All other connectors (except the blocked one) are also usable, but I cannot mix them.

When creating your Data Loss Prevention Policy, after including/excluding your connectors, you can choose which environment you can apply it to. All Environments: Select your environment or exclude specific environments.

Once you’ve done this, review and publish. But how do you know which environment to choose? Let’s explore this in the next chapter.

Establishing DLP policies for Power Apps and Power Automate

As per Microsoft’s recommendation, setting up data loss prevention (DLP) policies should be a top priority for an administrator taking over an environment or beginning to support Power Apps and Power Automate. Once foundational policies are in place, you can focus on managing exceptions and creating targeted DLP policies to accommodate approved deviations.

Define a broad policy covering most environments

• Apply a DLP policy across all environments except specific ones (e.g., production environments).
  
• Limit the available connectors for Microsoft 365 and other essential microservices.
  
• Block all other connectors.
  
• This policy should cover the default, training, and newly created environments.

Create more flexible policies for Team and productivity environments

• Allow additional connectors, such as Azure services, based on organizational needs.
  
• Ensure that permitted connectors align with where business data is stored within the organization.

Minimize the number of policies per environment:

• Since there is no strict hierarchy between tenant and environment policies, all applicable policies are evaluated together at design and runtime.
  
• Too many overlapping policies can fragment the connector space, leading to complexity and troubleshooting challenges for makers.

Centralize DLP management at the tenant level

• Use tenant-wide policies for overall governance.
  
• Reserve environment-specific policies for categorizing custom connectors or handling exceptions.

By following these guidelines, you can implement a structured and manageable approach to DLP policies while maintaining flexibility for business needs. More info is available here: Establishing a DLP strategy – Microsoft Power Platform – Power Platform | Microsoft Learn

DLP is just one component of overall security measures; the more security measures you implement, the stronger the security becomes.

2. Environments are here to help and structure

Many organizations begin their Power Platform journey with personal productivity apps in the Default environment, using only basic Microsoft 365 capabilities. As adoption grows, Microsoft provides tools to scale Power Platform enterprise-wide through an environment strategy. Premium governance features become available with a Power Platform license (Power Apps, Power Automate, Microsoft Copilot Studio, and Dynamics 365), helping organizations transition from essential use to enterprise-scale adoption.

But what is precisely the default environment? Whether using Power Apps or Automate, at the right corner above, you will notice a segment called “Environment,” which always points to the default one by default.

The Default environment is an automatically created shared environment in Power Platform that is available to all users in a Microsoft 365 tenant. It is designed as a starting point for personal productivity apps and automation. Every tenant gets one Default environment, and it cannot be deleted.

Why can everyone access the default environment?

• Tenant-wide access: By default, all licensed users in the organization can build apps, create flows, and store data in this environment.
  
• No strict governance: No out-of-the-box restrictions exist on who can create or manage solutions.
  
• Designed for personal use: Microsoft provides it for quick experimentation and lightweight automation, not enterprise-wide applications.

As you can imagine, this is a nightmare for many organizations. A lack of governance goes against all best practices, and a solution is essential. But is governance the only concern? Not at all, there’s much more to consider.

Why is it not a good idea for enterprise apps?

• Lack of isolation: Since everyone can build and deploy in the Default environment, critical enterprise apps may face disruptions from ungoverned changes.
  
• Security risks: Sensitive data could be accessed or modified unintentionally due to open access.
  
• Limited governance: Admins have minimal control over what gets built, leading to potential performance issues, conflicts, or compliance risks.
  
• Difficult to scale: As usage grows, managing apps and flows in a shared space becomes inefficient and chaotic.

So, yes, that is precisely why understanding Environments is essential, and instead of using the Default environment for enterprise applications, organizations should implement a dedicated environment strategy, such as:

• Development, Test, and Production environments for structured app lifecycle management.
  
• Managed Environments for better governance and security.
  
• Personal Developer Environments for individual makers to experiment without affecting others.

The following table describes the types of environments you can create, their characteristics, and their intended uses.

Type	Characteristics and uses
Default	The environment that comes with every tenant. Many Microsoft 365 experiences use this environment for customizations and automation. It isn’t intended for long-term or permanent work beyond the Microsoft 365 personal and productivity scenarios.
Production	This environment is intended for permanent work in an organization. Production environments support extended backup retention from seven days to up to 28 days.
Sandbox	These nonproduction environments support environment actions like copy and reset. Sandboxes are best used for testing, and ALM build environments.
Developer	These unique environments are intended as makers’ personal development workspaces, which isolate low-code assets from users and other makers. Makers can have up to three developer environments. They don’t count against your tenant’s capacity. Developer environments that haven’t been used for 90 days are automatically turned off and removed from your tenant if the owner doesn’t respond to notifications. Dynamics 365 apps aren’t available in developer environments.
Trial	These environments are intended to support short-term testing and proofs of concept. They’re limited to one per user. Trial environments are automatically removed from your tenant after a short period.
Microsoft Dataverse for Teams	These environments are automatically created when you create an app in Teams or install an app from the catalog. The security model for these environments aligns with the team they’re associated with.
Support	These are unique environments created by Microsoft Support for engineers to troubleshoot problems. They don’t count against your tenant’s capacity.

When creating environments to support workloads, it’s essential to balance isolation benefits, such as improved security and control, with potential friction, like challenges in data sharing across apps. Organizations can structure their environments based on the following:

• Entity or Department – HR, Finance, and Sales each have dedicated environments for their apps and data.
  
• Business Function – Separate environments for functions like Customer Service, Supply Chain, or Internal Operations.
  
• App Criticality – Enterprise-critical apps run in highly controlled environments, while departmental or productivity apps operate more flexibly.

Evaluating app placement in an environment

• During development, isolation prevents cross-app dependencies. Ideally, development environments should be single-purpose, disposable, and easily recreated.
  
• Testing multiple apps together makes sense if they run together in production, ensuring compatibility.
  
• In production, consider the following:
  • Compatibility: Does the app align with existing apps? Conflicts (e.g., multiple apps using the same Dataverse table differently) can cause issues.
  • Compliance & Security: Sensitive data may require isolation to meet regulatory or confidentiality needs.
  • Data Dependencies: Apps that rely on shared data should be in the same environment to avoid redundancy and synchronization issues.
  • Regional Data Residency: Some apps may need regional deployment to meet regulatory requirements.
  • User Location & Performance: An environment in EMEA may not serve US-based users efficiently.
  • Admin Management: Will the app require additional admins, and are they compatible with existing admins?
  • App Lifespan: Temporary apps should not be placed in long-term production environments.
  • User Experience: Switching between multiple environments may complicate access and reporting.

By carefully assessing these factors and structuring environments effectively, organizations can ensure security, compliance, and performance while minimizing user friction.

If you want to create a new environment, go to aka.ms/ppac, and under manage, you can create a new environment and start testing.

We could discuss hours around this topic, but I encourage you to read this whitepaper from Microsoft where Capacity, Pipelines, Communication, Managed Environments, Default environment routing, and beyond are explained:

Develop a tenant environment strategy to adopt Power Platform at scale – Power Platform | Microsoft Learn.

3. Tenant isolation

The Power Platform provides a wide range of connectors that allow authorized Microsoft Entra users to build apps and flows by securely connecting to business data. Tenant isolation helps administrators control these connections, reducing the risk of data exfiltration while ensuring secure usage within the tenant.

How tenant isolation works

• Different from Microsoft Entra ID-wide restrictions: It only applies to Power Platform connectors using Microsoft Entra authentication (e.g., Office 365 Outlook, SharePoint).
  
• Default setting (Isolation Off): Users can connect across tenants if they have valid Microsoft Entra credentials.
  
• With isolation on: All cross-tenant connections are blocked by default (both inbound and outbound), even with valid credentials.
  
• Exception rules: Admins can allow specific tenants to move inbound, outbound, or in both directions. A wildcard (“*”) can allow all tenants to move in a particular direction.

Admins can enhance governance and security by enabling tenant isolation while controlling external data movement. This is one of the most understood or underused settings, but as you can see, it’s capital.

Let’s use the Microsoft documentation to explain a bit further. Let’s say Contoso and Fabrikam are tenants that can potentially share data across apps and flows. No connection can be established with Contoso or Fabrikam credentials when tenant isolation is ON.

The isolation is on the Contoso tenant, but Fabrikam was added to the outbound allow list.

Finally, in the last scenario, the admin adds the Fabrikam tenant to both the inbound and outbound allow lists while tenant isolation is on.

Tenant isolation is a critical security measure for organizations using Power Platforms. Without it, users can establish cross-tenant connections, increasing the risk of data exfiltration and unauthorized access. By enabling tenant isolation, administrators gain greater control over data movement, ensuring that sensitive business information remains protected within the organization.

Moreover, tenant isolation helps enforce governance policies, reduces compliance risks, and prevents unintended data leaks, allowing flexibility through exception rules for trusted external connections.

As organizations scale their Power Platform adoption, securing data access must be a priority. Tenant isolation provides the safeguards to protect enterprise data, ensuring a secure and compliant environment for building apps and automation.

4. Dataverse and monitoring

Dataverse is a scalable, cloud-based data platform that provides structured data storage, security, and advanced business logic to support applications built using Microsoft Power Platform. It enables deep integration with Microsoft 365, Dynamics 365, and external data sources while ensuring enterprise-grade governance, security, and compliance.

However, there is also something called Dataverse for Teams. D4T is a subset of Dataverse embedded within Microsoft Teams designed for lightweight applications, automation, and chatbots. It provides a no-code/low-code experience tailored for business users but has limitations compared to the full Dataverse environment.

But what’s the difference between Dataverse and Dataverse for Teams?  Here are the key Differences Between Dataverse and Dataverse for Teams

Feature	Dataverse	Dataverse for Teams
Administration & Management	Managed through the Power Platform, with full access to environment-level settings, security, policies, and analytics. Supports multiple environments and tenant-wide management.	Managed within Microsoft Teams, with limited access to administrative settings. Each Teams-based Dataverse instance is restricted to that Team.
Security & Compliance	Supports row-level security (RLS), field-level security (FLS), hierarchical security, Azure AD roles, and conditional access policies. Complies with Microsoft 365 security and compliance standards (GDPR, ISO, SOC, etc.).	Limited security capabilities: permissions are controlled via Microsoft Teams membership (Owners, Members, Guests). Lacks advanced RLS and FLS.
Data Storage	Storage is allocated per tenant (default 10GB Database, 20GB File, 2GB Log, plus additional based on licenses). It supports Azure Blob Storage, Data Lake…	Limited storage (2GB per Team) with no expansion option. Data is stored within a Team’s dedicated instance of Dataverse. Can be upgraded to Dataverse.
Integration & Extensibility	It supports custom connectors, virtual tables, Azure Synapse Link, Power Automate, Power BI, custom APIs, webhooks, and direct SQL access. It also allows model-driven apps and canvas apps.	Limited to Power Automate, Power Apps (Teams Edition), and essential Power BI integration. There is no support for model-driven apps, virtual tables, or direct SQL access.
Licensing & Pricing	It requires Power Apps, Power Automate, or Dynamics 365 premium licenses. Pricing varies based on capacity, environment, and usage.	Included with Microsoft 365 E3/E5, Business Premium, and Teams licenses. No additional cost unless upgrading to full Dataverse.

Choosing Dataverse over other storage solutions like SharePoint Lists, Azure SQL Infra, or other connectors depends on your specific requirements, including scalability, flexibility, integration, governance, and security. Below is an in-depth comparison of why you might choose Dataverse for your Power Platform solutions instead of other alternatives:

1. Structured data storage

Dataverse offers a structured, standardized data model that ensures application consistency. It helps organizations structure data in a consistent and compatible manner across the Microsoft ecosystem.

• SharePoint is excellent for document management but lacks the inherent structure for business data that Dataverse provides.
• SQL requires manual schema design, which can become complex to maintain and is not integrated out of the box with the Power Platform ecosystem.
• Other connectors may not offer consistent, standardized storage structures, which could complicate data integration and management.

2. Advanced security and governance

Dataverse provides advanced security capabilities that make it ideal for enterprise applications:

• Row-level security (RLS) and field-level security (FLS) in Dataverse enable granular control over who can access specific records and fields.
• Audit logs, compliance standards, and built-in data loss prevention (DLP) policies make Dataverse highly secure, ensuring data governance and compliance with industry standards (GDPR, ISO, SOC, etc.).

In contrast:

• SharePoint provides basic security through site-level permissions but lacks the detailed, granular control that Dataverse offers for managing data access.
• SQL can provide advanced security features but requires manual configuration and management of these features, which can increase complexity.
• Other connectors may lack the enterprise-grade security capabilities that Dataverse offers, especially when dealing with sensitive business data.

3. Integration with the Power Platform

Dataverse is natively integrated with the Power Platform (Power Apps, Power Automate, Power Pages), making it the optimal choice for building custom low-code applications, automation, and analytics.

• Power Apps integrates seamlessly with Dataverse, allowing for rich, data-driven applications.
• Power Automate can trigger workflows directly from Dataverse data with full support for complex business logic and automation.

While SharePoint integrates with Power Apps and Power Automate, it focuses on document storage and collaboration rather than structured data, limiting its use in complex app development.
SQL is flexible but doesn’t offer the low-code integration experience that Dataverse does, requiring custom coding and more maintenance.

4. Scalability and performance

Dataverse is designed for scalability and high performance. It can handle complex and large datasets efficiently, allowing for elastic scaling of storage and computing resources. Dataverse also supports Dataverse for Teams, enabling users to have small-scale apps within Microsoft Teams while offering access to more robust enterprise-level solutions when required.

• SQL can handle large datasets but doesn’t offer the same level of native integration with Power Platform applications, and scaling it for performance can require significant manual management.
• SharePoint is designed for document collaboration and isn’t optimized for large-scale, relational data management, especially when you have large volumes of structured data or need complex relational data operations.

5. Built-in AI and advanced business logic

Dataverse allows you to build and deploy advanced business logic using business rules, workflows, process flows, and AI capabilities. You can integrate machine learning models directly into your apps built on Dataverse to enhance automation, predictions, and insights.

• SharePoint cannot integrate advanced business logic or AI models. It’s more of a document management system with basic workflows (Unless you go for SharePoint Premium for AI models that use AI Builder logic from Power Platform).
• SQL can support advanced logic, but integrating AI or machine learning models is complex and requires manual development, configuration, and external tools.

Those are only five key factors that show why Dataverse is the way to go. However, it requires specific licensing, which can be higher than other data storage solutions like SharePoint or SQL. However, its integration with Power Platform tools and advanced capabilities (security, governance, business logic) make it a cost-effective solution for deep integration and automation.

• SharePoint is often included with standard Microsoft 365 plans, making it cost-effective for essential document storage or simple data use cases.
• SQL can have lower initial costs but often requires additional licensing for premium features, like advanced storage or performance tuning.

When to Consider Other Solutions:

• If your use case is mainly focused on document storage and collaboration and data is less than 1K -10 K, SharePoint is a better choice.
• If an existing SQL Server infrastructure requires advanced custom querying or complex database management.
• For lightweight, non-critical applications or scenarios where cost-efficiency is a priority, and Dataverse features are overkill.

In conclusion, Dataverse is ideal for applications requiring structured data, advanced security, integration with the Power Platform, and large-scale data management. SharePoint is great for document management, and SQL is for complex querying and custom database management. The decision depends on your business needs, the complexity of your application, and how deeply you need to integrate with the Power Platform.

Once introduced into the organization, you must use the Dataverse Analytics in the Power Platform Admin Center to get real-time insights into Dataverse usage. This helps administrators monitor data consumption, user activity, and system performance within selected environments.

By leveraging Dataverse analytics, organizations can optimize data usage, performance tuning, and security compliance while ensuring efficient governance of their Power Platform environments.

Therefore, go to the Admin Center under Common Data Service Analytics. You’ll see the following analytics that will help you:

Adoption	Usage	Health
Number of active users	Most-used out-of-the-box entities	System jobs analysis (pass rate, throughput, top failures, backlog)
Active user trends	Most-used custom entities	Plug-in analysis (pass rate, execution time, top failures)
Mode of Access	Activities performed (CRUD)	API calls analysis (pass rate, most-used APIs, top failures

As an administrator, you should:

• Monitor Dataverse database activities.
• Regularly check system jobs, plug-ins, and API calls to ensure platform health.

You also have audit logging available for actions in Dataverse. This includes creating, updating, and deleting operations on records in addition to changes to Dataverse metadata. More information: Dataverse auditing overview

1. In the admin portal environment settings, via aka.ms/ppac, select Environment > Audit and logs > Audit settings.
   
2. Enable the entity property for auditing. Select Environment > Audit and logs > Entity and field audit settings.
   
3. Enable the field on the entity for auditing. Select Environment > Audit and logs > Entity and field audit settings > Your Entity > Fields. Select the field you want to audit and select Edit to enable auditing.

Coordinate with app makers to configure entities and fields for data auditing. Turning off auditing on frequently changing, insignificant fields can reduce audit data volume. You can find more info here: Manage Dataverse auditing – Power Platform | Microsoft Learn and Use Microsoft Dataverse usage reports – Power Platform | Microsoft Learn.

5. The Power Platform CoE Starter Kit – because we need a tool to manage

If you are lost, and even after reading all this, do not know how or where to start, I can only recommend the CoE Starter Kit. Setting up a Microsoft Power Platform Center of Excellence (CoE) is about fostering organic growth while maintaining governance and control. A CoE serves as a hub for innovation and continuous improvement, helping to break down organizational and geographic silos. More importantly, it enables organizations to align with overarching business goals rather than focusing solely on individual department metrics.

Before launching a CoE, it’s essential to define its purpose, objectives, and the key business outcomes you want to achieve. From there, the process is iterative—learning and evolving as you go. For many organizations, a CoE marks the beginning of a broader cultural shift toward greater creativity and innovation. It empowers business units to digitize and automate processes while ensuring oversight and governance remain in place.

The Power Platform CoE Starter Kit provides tools and components to help organizations establish a strategy for adopting and supporting Power Platform. While it serves as a reference implementation, its templates may not fit every organization’s needs. Customization is encouraged to align the solution with your CoE’s goals and requirements. The latest version of the kit can be downloaded from the coe-starter-kit.

It’s important to note that the kit itself isn’t a complete CoE—successfully managing a CoE requires more than just tools. A strong CoE relies on people, clear communication, well-defined processes, and a strategic vision. The tools serve as enablers, but the actual value of a CoE comes from how an organization designs and implements it based on its unique needs.

The CoE Starter Kit provides automation and monitoring capabilities to support CoE operations. Built on a Dataverse, it includes workflows to collect resource information across tenant environments. The kit features multiple apps, Power BI analytics for data visualization and interaction, and templates and best practices to guide CoE efforts. The whole CoE is a complete 8-hour course, but if you want more info, you can read here: Center of Excellence (CoE) overview – Power Platform | Microsoft Learn.