What is Microsoft Power Platform? Everything You Need to Know

Key Takeaways

• Microsoft Power Platform is a set of low-code applications that capture, automate, analyse, and present data within a single connected environment.
• Organisations often consider Power Platform when a smaller, focused data need calls for a cost-effective way to capture and report on information without a large-scale platform build.
• Microsoft Dataverse provides the central database beneath Power Apps, storing the information an application captures and removing the need for a larger Microsoft Fabric build.
• The platform has five components, Power BI, Power Apps, Power Automate, Power Pages, and Copilot Studio, each meeting a distinct need so a solution can be matched to the problem.
• Microsoft Power Platform is typically better suited to smaller, focused data projects, while Microsoft Fabric remains the stronger option for large volumes consolidated from many systems.
• Successful Power Platform solutions depend on identifying the right components and governance model in a short discovery session before any build begins.

Collecting data is rarely the hard part for most organisations; using it well is. Reports still rely on manual work to pull the numbers together, and the underlying information is spread across separate systems.

Microsoft Power Platform offers a more cost-effective way to capture, manage, and report on that data, without committing to a large-scale platform build. For teams earlier in their Microsoft journey, two questions usually come first: what is Microsoft Power Platform, and what is Power Platform used for?

What is Microsoft Power Platform?

Microsoft Power Platform is a collection of low-code applications that work with data in different ways: collecting it, storing it, automating its movement, and presenting it for analysis. It complements dedicated data platforms like Microsoft Fabric and Power BI, but approaches data differently. The focus is on capturing information and building applications, not large-scale storage and modelling.

Power Platform is best understood as a set of connected tools rather than a single product. They share a common data layer, provided by Microsoft Dataverse, and can be combined to suit the task at hand.

Power Apps, one of the core components, shows how this works in practice. It functions much like a modern Microsoft Access form: a user enters information through a simple interface, the data is stored in a central database, and Power BI can then present it. Each component meets a distinct need, and most organisations start with one or two before adopting more.

The Five Core Components of Microsoft Power Platform

Each component solves a specific problem. The three used most often are Power BI, Power Apps, and Power Automate. Power Pages and Copilot Studio tend to be adopted less frequently, as they sit slightly outside day-to-day data management.

Power BI

Power BI is the visualisation and analysis layer of the platform. It connects to data from a range of sources, models it, and presents it through interactive reports and dashboards. When the need is to present and explore existing data rather than collect new information, Power BI on its own is often enough.

Power Apps

Power Apps is the data input component. It lets organisations build simple applications, similar to a structured form, where users enter information that is then stored centrally. That data becomes available to other parts of the platform, most often Power BI for reporting. Because it needs little or no code, applications can be built faster and with less reliance on specialist developers.

Power Automate

Power Automate is the workflow automation component. It connects applications and services so repetitive tasks run automatically rather than by hand. Common examples are approvals, notifications, and moving data between systems. 

Each process is triggered by a defined event, like a form submission or an incoming email, and can include robotic process automation for steps that would otherwise be manual. The result is fewer errors and less time spent on routine administration.

Power Pages

Power Pages is the external-facing component. It provides a secure way to present information to people outside the organisation, like customers or partners, through a managed website. Data captured or displayed through Power Pages connects back to the same central database, so external interactions stay consistent with internal records.

Copilot Studio

Copilot Studio is the platform’s AI component. It allows organisations to build conversational agents that respond to natural language questions and return information drawn from specific data sources. In practice, this gives people a faster way to ask questions of their data without building a report for every query.

Choosing between components usually comes down to the problem being solved:

• To present and explore existing data: Power BI on its own is often enough
• To capture data as well as present it: Power Apps and Power BI used together
• To roll a capability out widely: The number of people who need it determines how many licences are required

A request to add commentary to a Power BI report is a common example. Power BI presents data but does not capture it, so a Power App is embedded to collect the input while Power BI handles the reporting.

Microsoft Dataverse: The Data Backbone Behind Power Platform

Microsoft Dataverse is the database that sits beneath Power Apps. When users enter information through an application, that information needs somewhere to live. Dataverse provides that storage.

A larger platform, like Microsoft Fabric, may not be needed, and Power BI may not be required at all. The data still needs to be captured, stored, and made available within the application, and Dataverse is the engine that makes that possible.

This is why Power Apps and Dataverse are so often deployed together. Building a Power App without a proper data layer is a common cause of disconnected, hard-to-govern data.

How Microsoft Power Platform Fits Into a Broader Data Strategy

Power Platform rarely operates in isolation. For most organisations, it sits alongside Microsoft Fabric, Azure, and sometimes Dynamics 365. Understanding those relationships helps clarify where it adds value.

Power Platform and Microsoft Fabric

The clearest distinction is one of scale. Microsoft Fabric is built for large-scale data management, consolidating high volumes from multiple systems into a single platform. Power Platform works at a smaller scale. It captures and presents data without the investment a full Fabric build requires.

The two are complementary. Power Platform can run as a standalone option for smaller projects or sit on top of a larger environment, adding data capture or a targeted application alongside an existing Fabric and Power BI setup.

The choice between them depends on data volume. A mining operation bringing in large volumes of telemetry data needs the capacity of Fabric. That scale of information is well beyond what Power Apps is designed for. A smaller project that needs an economical way to capture and report on data is better served by Dataverse, Power Apps, and Power BI together.

Power Platform and Azure

Power Platform is built within the Microsoft technology stack and draws on Azure services beneath the surface, including for security, identity, and scale. For organisations already invested in Azure, this means Power Platform applications align with existing controls instead of introducing a separate environment to manage.

Power Platform and Dynamics 365

Dynamics 365 is Microsoft’s suite of business applications for customer relationship management and enterprise resource planning, covering functions such as sales, customer service, and finance. It is built on the same underlying technology as Power Platform, which is why the two integrate closely.

Power Platform is often used to extend Dynamics 365. That might mean building a custom Power App alongside it, or automating a process between Dynamics 365 and another system. Dynamics 365 provides ready-made business applications, while Power Platform provides the tools to build and automate around them.

AGER BI Insight

In regulated sectors like healthcare, aged care, and government, the deciding factors are rarely about features. They are about control: where data is held, how it is protected, and how the solution is governed as more people come to rely on it. Scoping those decisions before the first application is built is what makes Power Platform dependable in environments where data sensitivity and compliance are not negotiable.

What Microsoft Power Platform Enables for Organisations

The real value of Power Platform shows once it is embedded in everyday work. It enables organisations to use data within their operations, improving how processes are executed and decisions are made.

The most common starting point is replacing a manual data process. Information that was once collected in spreadsheets, emailed between people, and re-entered by hand now has a single home.

A Power App provides one point of entry, Dataverse stores the data, and Power BI presents it. The data is captured once, held in one place, and ready for reporting straight away, which removes the delays and inconsistencies manual handling introduces.

Common outcomes include:

• A single, structured point of entry for capturing operational data
• Information held in one place instead of across spreadsheets and inboxes
• Reporting available as soon as data is entered
• Repetitive processes handled automatically through Power Automate
• Secure external access to information where it is needed
• Reduced manual handling and fewer data errors

The scope of a solution follows the requirement:

• Input, store, and visualise data: Power Apps and Power BI
• Ask natural language questions of that data: Add Copilot Studio
• Present information to an external audience: Add Power Pages

Matching components to the actual need keeps a solution focused and avoids paying for capabilities that go unused.

Is Microsoft Power Platform Right for Your Organisation?

Microsoft Power Platform suits organisations with a clearly defined, smaller-scale data requirement. It is a strong fit when the priority is capturing and reporting on data at a modest cost. It is less suited to very large or highly complex data environments.

Power Platform is typically well-suited to organisations that need to:

• Capture data through a simple, structured application
• Report on that data without a large platform build
• Automate repetitive, manual processes
• Provide secure external access to specific information
• Deliver a cost-effective solution to a defined data problem

Two misconceptions come up regularly.

The first is that Power Platform is a CRM. It is not. A CRM manages customer relationships as a ready-built application. Power Platform, by contrast, provides the components to build custom applications, automate processes, and report on data. It can be used to build something CRM-like, or to extend an existing CRM, but it remains a development platform rather than a customer management product.

The second is confusion with Dynamics 365. Dynamics 365 is the right choice when an organisation needs established business applications for sales, service, or finance out of the box. Power Platform is the right choice when the need is to build, automate, or report around those functions, or to create something a packaged application does not provide. Many organisations use both together.

Where the right combination is not obvious, a short scoping conversation with our Power Platform consulting team is usually enough to identify which components, if any, are required

Common Mistakes Organisations Make With Microsoft Power Platform

Because Power Platform is low-code and quick to adopt, most difficulties come from how it is rolled out rather than the technology itself. A few patterns recur.

Adopting Applications Without Governance

When people across an organisation build applications independently, the result is often a growing number of unmanaged apps. None of them has consistent ownership, security, or oversight. A governance model sets out who can build what, and how applications are reviewed and maintained. Without it, the environment becomes harder to control and secure over time.

Leaving Licensing Unplanned

Licensing is priced by component and by user, so cost is shaped by how many people need each capability. Organisations that adopt Power Platform without planning licensing upfront can find costs rise as usage grows. Establishing the expected number of users for each component early makes the investment predictable.

Building Power Apps Without Dataverse

A Power App needs a properly structured data layer. Building applications without Dataverse, or on ad hoc storage, tends to create isolated pockets of data that are hard to report on and harder to govern. Establishing Dataverse as the storage foundation keeps data consistent and available across the platform.

Overlooking Power Automate

Organisations often adopt Power Apps and Power BI but leave manual processes in place that Power Automate could handle. Workflow automation is frequently where a Power Platform solution delivers its clearest day-to-day return. Overlooking it means routine tasks keep consuming time that could be given back to the team.

How Much Does Microsoft Power Platform Cost?

Power Platform pricing changes regularly, so it is more useful to understand how the cost is structured than to fix on a figure. It is shaped by:

• The components used: Licensing is charged per application
• The number of users: The cost rises with the number of people who need each capability
• Existing Microsoft agreements: Some capabilities are included, in limited form, with certain Microsoft 365 and Dynamics 365 subscriptions, while fuller use requires standalone licences

For context, a single Power App licence has typically sat at around $30 in Australian dollars per user per month, while a full Microsoft Fabric implementation can run into the thousands. The two are not directly comparable, since they address very different scales of data. Even so, the contrast shows why Power Platform is often the cost-effective choice for smaller projects.

Because pricing depends on these factors, the practical cost of Power Platform is best established against a specific requirement rather than a published list.

How to Get Started With Microsoft Power Platform

A Power Platform engagement works best when the requirement is clear from the outset. A short discovery session, usually around 30 minutes, sets the direction and defines:

• The specific problem to be solved
• The components genuinely required
• Project scope and priorities
• A delivery pathway and roadmap

From there, delivery timelines depend on complexity. A straightforward Power App can be built quickly, while a more involved solution takes longer, with most implementations falling somewhere between two and 12 weeks. Defining the scope early keeps the timeline and the cost predictable, and gives decision-makers a firm basis for sign-off rather than an open-ended commitment.

Turn Microsoft Power Platform Into a Cost-Effective Data Solution with AGER BI

AGER BI helps organisations assess, design, and implement Microsoft Power Platform solutions that suit the scale of their data requirements. Engagements begin with a discovery session, so the right components are identified before any build begins, and Power Platform is paired with Power BI and Microsoft Fabric where a broader data environment calls for it.

With more than 25 years of experience, Microsoft certification across the data platform, and over 50 projects delivered across Australia and New Zealand, the work draws on deep expertise in Power Platform, Power BI, Azure, and enterprise data platforms, and has contributed more than $15M in cost savings for clients.

Book a complimentary 30-minute consultation to review the current data and reporting environment, confirm whether Power Platform is the right fit, and receive a practical roadmap for delivery.

Frequently Asked Questions

Q. What is Microsoft Power Platform used for?

A. Microsoft Power Platform is used to turn scattered data into something an organisation can act on. That covers four main jobs: building applications that collect information, setting repetitive tasks to run on their own, producing reports and dashboards, and giving people outside the organisation a secure way in. It tends to suit smaller, focused projects where a full data platform would be more than the task calls for.

Q. Is Microsoft Power Platform a CRM?

A. No. A CRM arrives as a finished product for managing customer relationships, whereas Power Platform is the low-code toolkit used to build software in the first place. It can produce a CRM-style application, or bolt extra functionality onto one already in place, such as Dynamics 365, but on its own it is a way to build rather than a product to use straight away.

Q. What is the difference between Power Platform and Dynamics 365?

A. The simplest way to separate them is finished product versus building blocks. Dynamics 365 ships as ready-to-run software for sales, customer service, and finance teams. Power Platform is the set of building blocks used to create applications, automate processes, and report on data. Because both sit on the same foundation, organisations often run them side by side, using Power Platform to tailor or extend what Dynamics 365 already does.

Q. Do I need Microsoft Fabric if I use Power Platform?

A. Not necessarily. Power Platform can operate on its own for smaller data requirements. Microsoft Fabric becomes relevant when data volumes are large or when data from many systems needs to be consolidated in one place. The two are often used together, with Power Platform handling data input and Fabric managing large-scale storage and reporting.

Q. How much does Microsoft Power Platform cost?

A. Pricing follows two things: how many components are in play and how many people use each one. At the entry level, a single Power App licence runs to only a modest monthly figure, and the total climbs as more components and users are added. 

Existing Microsoft 365 or Dynamics 365 subscriptions may already cover part of it, which is another reason an accurate number really comes from pricing against a defined requirement rather than a generic quote.