1) how many records you pulled in the power query in the latest project? 2) Refresh the frequency time of the dataset in the power service when you pulled that many records? 3) no. of reports, dashboards & pages involved in each report in your latest project Number of Records in Power Query in Latest Project: In my latest project, I pulled approximately 500,000 records using Power Query. The data source was a combination of transactional data from a sales database and customer data from various external sources. Refresh Frequency Time of Dataset in the Power Service: To keep the data up-to-date, we set the refresh frequency to daily. This ensured that the reports and dashboards were always displaying the most recent information without causing an excessive load on the system. Number of Reports, Dashboards, and Pages Involved in Each Report: In this project, we designed a comprehensive reporting solution with the following components: Number of Reports: 5 reports Number of Dashboards: 2 dashboards Number of Pages in Each Report: Each report had an average of 3 pages.

On insurance domain: can you introduce yourself and your last project you are worked on? Myself, Surya, I have a total of 3 years of relevant experience in Power BI. I have specialized in working with Power BI reports, data visualization, and building interactive dashboards. In my previous role, I worked with an insurance company and one of my recent projects involved working on a data analytics project for the claims processing department. In this project, I was responsible for designing and developing Power BI reports and dashboards that provided valuable insights into the claims processing workflow. I collaborated closely with the project team to understand the data sources, data models, and specific business requirements. The project involved connecting to the insurance company's SQL Server database using Direct Query mode and building the data model based on tables such as PolicyHolders, Claims, Providers, and Payments. Once the data model was established, I created interactive Power BI reports and dashboards, utilizing various visualizations such as tables, charts, and graphs. The reports presented an overview of the claims processing process, including key metrics related to claim types, processing times, provider details, and payments. To enhance the functionality of the reports, I utilized advanced techniques like calculated columns, measures, and DAX expressions. These techniques enabled drill-down capabilities and allowed end-users to gain deeper insights into the claims data. Throughout the development process, I collaborated closely with the project team and stakeholders to ensure that the reports aligned with their needs and requirements. Regular communication, feedback gathering, and iterative improvements were essential aspects of this collaboration. The project's successful implementation contributed to streamlining the claims processing workflow and optimizing decision-making for the insurance company's claims department.

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Here are the steps to convert Power BI reports to tabular forms in Power Apps: Data Source and Model: Identify the data sources used in the Power BI reports and ensure they are accessible within Power Apps. Create or modify a data model in Power Apps to organize the data for use in the app. App Design: Determine the layout and design of your Power App. Decide which controls and visual elements (e.g., tables, galleries, charts) will replace the visualizations in the Power BI reports. Data Integration: Integrate the data from your data sources into the Power App's data model. Implement data filtering and sorting mechanisms as needed. Tabular Forms: Replace the visualizations in the Power BI reports with tabular forms in Power Apps. Use tables or galleries to display data in rows and columns. Implement charts or graphs using Power Apps controls to visualize data if required. Interactivity: Implement interactivity features such as filtering, sorting, and search to allow users to interact with the data in the tabular forms. Conditional Formatting: Apply conditional formatting to highlight specific data points or apply color-coding based on certain conditions. Expressions and Formulas: Use Power Apps formulas and expressions to calculate and derive data as required. Testing and Validation: Thoroughly test the tabular forms to ensure data accuracy and functionality. Validate the app with stakeholders and end-users to gather feedback. Deployment and Sharing: Publish the Power App to make it available to end-users. Configure access permissions and sharing settings for different users.

Here's how the process might look in a real-time setting: Initial Meeting and Requirement Gathering: Project stakeholders, including business analysts, managers, and end-users, meet to discuss the objectives and goals of the Power BI report. During this meeting, the team discusses the data sources, metrics, KPIs, and the scope of the report. 2. High-Level Documentation: After the initial meeting, a high-level document or project brief is created, summarizing the agreed-upon objectives, data sources, and key requirements. This document serves as a reference point for the development team throughout the project. 3. Data Team Involvement: The data team, which may include data engineers and data analysts, works on data extraction, cleaning, and transformation. They ensure that the data is in the right format for analysis and create a data model that establishes relationships between tables. 4.Visualization Design and Mockups: The data team collaborates with the business analysts and end-users to understand the required visualizations. Based on the discussions, the data team creates mockups or prototypes of the report to demonstrate how the data will be visualized. 5. Feedback and Iteration: Stakeholders review the mockups and provide feedback to ensure that the visualizations meet their needs. The data team iteratively refines the visualizations based on the feedback received. 6. Report Development: The development team, which may include data analysts and Power BI developers, starts building the report using Power BI Desktop. They implement the data model, create visualizations, and add interactivity features like slicers and filters. 7. Collaboration and Feedback Loop: Throughout the development process, the team maintains open communication, seeking regular feedback from stakeholders. Regular check-ins and status meetings are conducted to keep all parties informed of the progress. 8. User Acceptance Testing (UAT): Before deployment, stakeholders perform User Acceptance Testing to validate the report's accuracy and usability. Any issues or refinements are addressed during this phase. 9. Deployment and Sharing: Once the report is approved, it is published to the Power BI service for sharing with end-users. Access permissions are configured based on user roles. 10. User Training and Support: End-users receive training on how to use the report effectively to gain insights. Support channels are established to address user questions or issues.

Explain me how to gather requirements and how is the process in real time in power bi? Here's a general overview of the process: Step 1: Understand the Business Needs and Objectives Meet with stakeholders and end-users to understand their requirements, business needs, and objectives for the Power BI report. Identify the key metrics, KPIs, and data insights that the report should deliver. Step 2: Define Scope and Data Sources Clearly define the scope of the Power BI report, including the data sources that will be used. Determine the data connections required to access and load data into Power BI. Step 3: Data Preparation and Transformation Gather the necessary data from the identified data sources. Perform data cleaning, transformation, and modeling as required to ensure data quality and accuracy. Create relationships between different tables in the data model. Step 4: Create Visualizations and Reports Design and create visualizations based on the identified metrics and KPIs. Build the report/dashboard layout, including charts, tables, KPI cards, slicers, etc. Arrange the visualizations in a logical and user-friendly manner. Step 5: Implement Interactivity Add interactivity features like slicers, filters, drill-downs, and drill-throughs to enable users to explore data and gain insights. Step 6: Apply Formatting and Branding Apply consistent formatting and branding to the report to match the organization's style guidelines. Make the report visually appealing and easy to understand. Step 7: Test and Validate Thoroughly test the report to ensure that the data is accurate and the visualizations are functioning correctly. Validate the report with stakeholders and end-users to ensure it meets their requirements. Step 8: Deployment and Sharing Publish the Power BI report to the Power BI service to share it with stakeholders and end-users. Determine the appropriate sharing settings and permissions for different users. Step 9: Maintenance and Updates Regularly review the report's performance and data accuracy. Make updates and enhancements based on user feedback and changing business needs.

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