Push and Pull Architecture in Microsoft’s Power Platform

Power Platform can be used throughout a company’s processes and operations. Let’s discuss some useful ways to implement the push and pull architecture of Power Platform in your organization:

Power Automate (Microsoft Flow):

1. Automating email responses: If a company receives frequent customer inquiries via email, Power Automate can be set up to automatically send a response email, acknowledging receipt (Data Push).
2. Data backup: Power Automate can be set up to automatically back up files uploaded to a SharePoint site to a cloud storage service like OneDrive (Data Pull).
3. Task/approval creation: If a form is submitted on a company’s website, Power Automate can create a task in Microsoft Planner or Trello (Data Push).

Power Apps:

1. Inventory management: A company can create a Power App that allows employees to manage inventory in real time (Data Push). The app can also display current inventory levels (Data Pull).
2. Employee feedback: A company can create a Power App to collect employee feedback. The feedback can be stored in the dataverse, a database or SharePoint (Data Push).
3. Customer service: A Power App can be created to allow customer service representatives to pull up customer information during a call (Data Pull) and update the customer information in real time (Data Push).

Power BI:

1. Sales analysis: Power BI can pull sales data from an SQL database, transform and clean it, and then visualize it in a way that allows the company to make informed decisions.
2. Website analytics: Power BI can be used to pull website traffic data from Google Analytics, clean and transform the data, and visualize it in a dashboard.
3. Inventory dashboard: Power BI can pull inventory data from a database and display it in a dashboard that shows current inventory levels, sales trends, and predicts when stock will run out.

Power Virtual Agents:

1. Customer support: A company can use Power Virtual Agents to build a chatbot that answers frequently asked questions, pulling information from a knowledge base (Data Pull).
2. Order tracking: A chatbot can be built that allows customers to track their orders. The chatbot pulls tracking information from a database or API (Data Pull).
3. Feedback collection: A chatbot can be used to collect customer feedback and store it in a database (Data Push).

Common Data Service (CDS) / Metaverse:

1. Data sharing: If a company has multiple Power Apps, the CDS can be used to share data between them.
2. Centralized storage: The CDS can store data from various sources, making it easily accessible for Power Apps and Power BI.
3. Collaboration: If a company has a Power App for data entry and a Power BI dashboard for data visualization, the CDS can store the data entered through the Power App and make it available for the Power BI dashboard.

Azure Logic Apps:

1. Data synchronization: Azure Logic Apps can be used to synchronize data between a company’s CRM and ERP systems.
2. Automated reporting: Azure Logic Apps can pull data from a database, generate a report, and then email the report to stakeholders.
3. Order processing: Azure Logic Apps can be used to automate the order processing workflow. When a new order is placed, it can pull the order details, check inventory levels, update the inventory, and then push the order to the shipping department.

Dynamics 365 Connectors:

1. Customer data sync: A company can use a Power App to capture customer data and push it to their Dynamics 365 CRM. The same app could pull data from the CRM to display to the user.
2. Order management: A Power App can be used to manage orders in Dynamics 365, allowing users to create, update, and view orders.
3. Customer service: A Power Virtual Agent can be used to pull customer information from Dynamics 365 to assist in customer service.

Custom Connectors:

1. API integration: If a company uses an API that isn’t supported out-of-the-box by the Power Platform, they can create a Custom Connector for it.
2. Data push/pull: A Custom Connector can be used to push data to, or pull data from, an external system.
3. Third-party services: A Custom Connector can be created to integrate with third-party services like Slack or Trello.

Azure Cognitive Services Connectors:

1. Sentiment analysis: A company can use these connectors to analyze the sentiment of customer reviews (Data Pull) and update records based on the insights gained (Data Push).
2. Image analysis: These connectors can be used to analyze images uploaded by users, for example, to moderate content or to categorize images.
3. Text analysis: These connectors can be used to extract key phrases, detect language, or recognize entities in text data.

Power Query:

1. Data cleaning: Power Query can be used to clean data, for example, to remove duplicates, change data types, or handle missing values.
2. Data transformation: Power Query can be used to transform data, for example, to pivot or unpivot columns, split columns, or merge tables.
3. Data integration: Power Query can be used to integrate data from various sources, making it easier to analyze in Power BI.

In summary, the Power Platform provides a suite of tools that can move, transform, and integrate data. By leveraging these tools, companies can streamline processes, enhance collaboration, and make data-driven decisions, leading to improved performance and efficiency. I hope these examples help in visualizing how the Power Platform can be implemented within a company. Remember, no extensive coding is required, so even if you’re not technical by role, you can still achieve amazing results with the Power Platform. SkyTerra can help, book a call with one of our experts to get started.