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Pavlo, Microsoft 365 / Power Platform Engineer

Ukraine
Last Updated: 11 Jul 2023

- IT experience starting in 2016; IT engineer/Head of IT Department. - Experience with Office 365, SharePoint, Teams, Power Apps, Power Automate, and Power BI. - Training/ learning employees/clients - Development and implementation of corporate rules and regulations (related to the use of Office 365) - Advising clients on Power Platform licensing - Azure DevOps - Upper-Intermediate English

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Microsoft Power BI

Microsoft Power BI

MS Dynamics 365

MS Dynamics 365

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Vitalii, Power Platform/Microsoft Dynamics Engineer

Ukraine
Last Updated: 4 Jul 2023

- IT experience starting in 2012; middle frontend developer since 2015. - Experience with the full lifecycle of designing, developing, installing, configuring, and maintaining applications on SharePoint 2016/2019, 2019 Online, Office 365, Power apps, Dynamics CRM, Power BI - Upper-Intermediate English

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Microsoft Power BI

Microsoft Power BI

Microsoft Dynamics

Microsoft Dynamics

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Vitalii, MS Dynamics 365 / Power Platform Engineer

Ukraine
Last Updated: 5 Jul 2023

- Experience with the full lifecycle of designing, developing, installing, configuring, and maintaining applications on SharePoint 2016/2019, 2019 Online, Microsoft 365, Power Automate, Power Apps, MS Dynamics 365, and Power BI. - Upper-Intermediate English. - Beginner German.

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MS Dynamics 365

MS Dynamics 365   5 yr.

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Fahad Qadir, Data Analyst Tableau Power BI DAX

Lahore, Pakistan
Last Updated: 4 Jul 2023

I am an experienced data visualization & analysis expert with experience in building great and efficient reports and dashboards. I will use my Tableau and Power BI skills to unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

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Microsoft Power BI

Microsoft Power BI

Tableau

Tableau

Tableau Desktop

Tableau Desktop

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Nina A., BI Engineer

Ukraine
Last Updated: 4 Jul 2023

- Data visualization expertise with Tableau and Power BI - Strong knowledge of PostgreSQL and MS SQL - Easy-learning and goal-oriented with good teamwork skills - Responsible, communicable, and creative - Advanced English

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Microsoft Power BI

Microsoft Power BI

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Table of Contents

Pros & cons of Microsoft Power BI

6 Pros of Microsoft Power BI

  • Powerful Visualization: Microsoft Power BI offers a wide range of interactive and visually appealing data visualization options. Users can create compelling dashboards, reports, and charts to present data in a visually appealing manner.
  • Easy Integration: Power BI seamlessly integrates with various data sources including Excel, SQL Server, SharePoint, and many more. This allows users to easily connect to their existing data sources and extract insights without the need for complex data transformations.
  • Cloud-based Collaboration: Power BI allows users to collaborate and share their reports and dashboards with others in real-time. This cloud-based approach enables teams to work together more efficiently and make data-driven decisions collectively.
  • Advanced Analytics: Power BI offers advanced analytics capabilities such as predictive analytics, natural language querying, and machine learning integration. These features enable users to gain deeper insights and uncover valuable patterns and trends in their data.
  • Mobile Accessibility: With Power BI mobile apps for iOS and Android, users can access their reports and dashboards on the go. This ensures that decision-makers have access to critical insights anytime and anywhere, enhancing productivity and agility.
  • Scalability: Power BI is designed to handle large datasets and can scale to meet the needs of enterprise-level organizations. It can efficiently process and analyze data from various sources, making it suitable for businesses of all sizes.

6 Cons of Microsoft Power BI

  • Learning Curve: While Power BI offers a user-friendly interface, mastering all its features and functionalities may require some learning. Users who are new to the tool may need time to familiarize themselves with its capabilities.
  • Data Modeling Limitations: Power BI has certain limitations when it comes to complex data modeling scenarios. Users may face challenges when working with intricate data relationships or when dealing with data hierarchies.
  • Data Refresh Limitations: Power BI has limitations on the frequency of data refreshes, especially in the free version. This can be a drawback for organizations that require real-time or near real-time data updates.
  • Customization Constraints: While Power BI offers a wide range of customization options, some users may find limitations in terms of customizing visual elements or creating custom calculations and measures.
  • Dependency on Internet Connectivity: Power BI heavily relies on internet connectivity to access data, collaborate, and share reports. In scenarios with limited or unstable internet access, this can impact the usability and availability of the tool.
  • Cost Considerations: Power BI offers a free version with limited features, but advanced functionalities require a paid subscription. Organizations with complex data analysis requirements may need to invest in higher-cost licenses, which can affect budget considerations.

TOP 10 Microsoft Power BI Related Technologies

  • Power Query

    Power Query is a fundamental technology in Microsoft Power BI. It allows users to connect, transform, and manipulate data from various sources. With Power Query, developers can extract data, perform data cleansing, and merge multiple datasets effortlessly.

  • DAX (Data Analysis Expressions)

    DAX is a formula language used in Power BI for creating calculated columns, measures, and tables. It enables developers to perform complex calculations and aggregations on data, helping to derive valuable insights and drive data-driven decisions.

  • M

    M is the underlying language of Power Query, used for data transformation and manipulation. It is a functional language that allows developers to define custom functions, perform advanced data transformations, and handle complex data scenarios.

  • Power BI Desktop

    Power BI Desktop is the primary development tool for creating interactive reports, visualizations, and dashboards. It provides a rich set of features, including drag-and-drop capabilities, data modeling, and advanced formatting options.

  • Power BI Service

    Power BI Service is a cloud-based platform where developers can publish, share, and collaborate on Power BI reports and dashboards. It enables seamless access to reports from various devices and allows for real-time data updates and sharing with stakeholders.

  • Power BI Embedded

    Power BI Embedded allows developers to integrate Power BI reports and dashboards directly into their own applications. It provides a set of APIs and SDKs, enabling developers to embed interactive visualizations and analytics capabilities seamlessly.

  • Power Automate (formerly Microsoft Flow)

    Power Automate is a workflow automation platform that integrates with Power BI. Developers can create automated workflows to trigger actions based on data-driven events, such as sending email notifications or updating data in external systems.

TOP 12 Tech facts and history of creation and versions about Microsoft Power BI Development

  • Power BI is a business analytics tool developed by Microsoft that enables users to visualize and analyze data from a variety of sources. It was first released in July 2015 as a part of the Microsoft Power BI suite.
  • Power BI was created based on the concept of “Self-Service Business Intelligence,” which allows users to create their own reports and dashboards without relying on IT departments.
  • The author of Power BI is Amir Netz, a Distinguished Engineer at Microsoft. He has been instrumental in the development of various data visualization tools at Microsoft.
  • One of the groundbreaking features of Power BI is its integration with Microsoft Excel. Users can import data from Excel spreadsheets and easily create interactive visualizations and reports.
  • Power BI Desktop, a Windows application, is the primary development tool for building Power BI solutions. It provides a rich set of data transformation, modeling, and visualization capabilities.
  • Power BI has a cloud-based service called Power BI Service, where users can publish, share, and collaborate on reports and dashboards. It also offers mobile apps for iOS and Android devices.
  • Power BI supports a wide range of data connectors, allowing users to connect to various data sources such as databases, online services, and files. Some popular connectors include SQL Server, SharePoint, Salesforce, and Google Analytics.
  • Microsoft regularly releases updates and new features for Power BI. As of 2021, there have been several major versions, including Power BI Desktop, Power BI Pro, and Power BI Premium.
  • Power BI offers advanced data modeling capabilities, including the ability to create relationships between different data tables. This enables users to perform complex data analysis and create meaningful insights.
  • Power BI supports natural language queries, allowing users to ask questions in plain English and get visualizations as responses. This feature makes it easy for non-technical users to explore and analyze data.
  • Power BI has a strong community of users and developers who actively contribute to its growth. The Power BI community includes forums, blogs, and user groups where users can share their knowledge and experiences.
  • Power BI is widely used across industries and organizations of all sizes. It has proven to be an effective tool for data-driven decision-making, enabling businesses to gain insights and drive innovation.

Soft skills of a Microsoft Power BI Developer

Soft skills are essential for a Microsoft Power BI Developer as they contribute to their effectiveness in communicating, collaborating, and problem-solving. Here are the soft skills required at different levels of expertise:

Junior

  • Communication: Ability to effectively convey ideas and information to stakeholders.
  • Teamwork: Collaborating with other team members to deliver high-quality solutions.
  • Attention to Detail: Paying close attention to small details to ensure accuracy in data analysis and reporting.
  • Adaptability: Being flexible and open to learning new techniques and tools in the Power BI environment.
  • Time Management: Efficiently managing time and meeting project deadlines.

Middle

  • Problem-solving: Analyzing complex data challenges and finding innovative solutions.
  • Leadership: Demonstrating leadership qualities and guiding junior team members.
  • Critical Thinking: Evaluating information and making informed decisions based on data analysis.
  • Customer Focus: Understanding and meeting the needs of clients and stakeholders.
  • Presentation Skills: Ability to present data insights and reports in a clear and engaging manner.
  • Project Management: Effectively managing projects and ensuring successful delivery.
  • Collaboration: Working collaboratively with cross-functional teams to achieve common goals.

Senior

  • Strategic Thinking: Developing long-term strategies for data analysis and visualization.
  • Mentorship: Mentoring junior and middle-level developers to enhance their skills.
  • Business Acumen: Understanding the business context and aligning Power BI solutions accordingly.
  • Influence: Persuading stakeholders and driving adoption of Power BI solutions.
  • Quality Assurance: Ensuring the accuracy and reliability of data models and reports.
  • Decision-Making: Making data-driven decisions and providing insights to inform business strategies.
  • Conflict Resolution: Resolving conflicts and managing disagreements within the team.
  • Continuous Learning: Keeping up-to-date with the latest Power BI features and trends.

Expert/Team Lead

  • Strategic Planning: Developing a roadmap for Power BI implementation and adoption.
  • Project Leadership: Leading and managing complex Power BI projects from inception to completion.
  • Data Governance: Establishing and enforcing data governance policies and best practices.
  • Data Storytelling: Effectively communicating data insights through compelling narratives.
  • Client Management: Managing client relationships and understanding their specific requirements.
  • Team Management: Leading and motivating a team of Power BI developers.
  • Innovation: Identifying and implementing innovative approaches to data analysis and visualization.
  • Vendor Management: Collaborating with external vendors for Power BI tool integration.
  • Strategic Partnerships: Establishing strategic partnerships to enhance Power BI capabilities.
  • Change Management: Guiding organizations through the change process associated with Power BI adoption.
  • Industry Knowledge: Having in-depth knowledge of industry-specific data analysis and reporting requirements.

Let’s consider Difference between Junior, Middle, Senior, Expert/Team Lead developer roles.

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsAssist in the development and maintenance of software applications, under the guidance of senior developers. Participate in code reviews and debugging activities. Collaborate with the team to support project objectives.40,000 – 60,000
Middle2-5 yearsIndependently develop and implement software solutions. Collaborate with cross-functional teams to define project requirements and deliverables. Mentor junior developers and provide guidance. Contribute to code reviews and quality assurance processes.60,000 – 80,000
Senior5-10 yearsLead the design and development of complex software systems. Provide technical expertise and guidance to the team. Collaborate with stakeholders to define project goals and timelines. Conduct code reviews and ensure adherence to best practices. Mentor and coach junior and middle developers.80,000 – 100,000
Expert/Team Lead10+ yearsLead a team of developers and oversee project execution. Define technical strategies and roadmaps. Collaborate with stakeholders to align technology solutions with business objectives. Mentor and train team members. Ensure high-quality code and timely delivery of projects. Contribute to the overall technical growth of the organization.100,000+

Cases when Microsoft Power BI does not work

  1. Unsupported Data Sources: Microsoft Power BI supports a wide variety of data sources, but there are instances where certain data sources may not be compatible. For example, if you are trying to connect to a proprietary database system that doesn’t have a Power BI connector available, you may encounter difficulties in accessing and analyzing the data.

    Source: Microsoft Power BI – Data Sources

  2. Insufficient Hardware Resources: Power BI relies on the processing power and memory of your computer to perform data analysis and visualization tasks. If your hardware resources are limited, you may experience slow performance or even crashes when working with large datasets or complex visualizations.

    Source: Microsoft Power BI – Hardware Requirements

  3. Network Connectivity Issues: Power BI heavily relies on an internet connection to access cloud-based services, import data, and refresh data sources. If you encounter network connectivity problems, such as slow internet speed or intermittent connectivity, it can affect the performance and functionality of Power BI.

    Source: Microsoft Power BI – Network Connectivity

  4. Software Compatibility: Power BI is regularly updated with new features and improvements. However, this could lead to compatibility issues with older versions of the software. If you are using an outdated version of Power BI or have not installed the latest updates, certain features may not work as expected or may not be available to you.

    Source: Microsoft Power BI – Latest Updates

  5. Data Security and Privacy Concerns: While Power BI provides robust security measures, organizations may have specific data security and privacy requirements that are not fully addressed by the default settings of Power BI. In such cases, additional configuration and customization may be necessary to meet the organization’s specific needs.

    Source: Microsoft Power BI – Data Protection

How and where is Microsoft Power BI used?

Case NameCase Description
1. Sales Performance AnalysisPower BI can be used to analyze sales performance by visualizing sales data from different sources such as CRM systems, Excel spreadsheets, and databases. It helps businesses identify trends, patterns, and sales opportunities, allowing them to make data-driven decisions to improve sales strategies and maximize revenue.
2. Financial ReportingWith Power BI, finance teams can create interactive dashboards and reports to monitor financial performance, track key metrics, and analyze financial data in real-time. It enables organizations to gain insights into revenue, expenses, profitability, cash flow, and other financial aspects, facilitating informed decision-making and financial planning.
3. Supply Chain ManagementPower BI can streamline supply chain management by consolidating data from various sources like inventory systems, procurement software, and logistics databases. It provides real-time visibility into inventory levels, supplier performance, delivery schedules, and demand forecasting. This helps businesses optimize their supply chain operations, reduce costs, and enhance overall efficiency.
4. Customer AnalyticsBy integrating customer data from CRM platforms, customer support systems, and social media, Power BI enables businesses to gain a comprehensive view of their customers. It helps analyze customer behavior, preferences, and sentiment, allowing organizations to personalize marketing campaigns, improve customer satisfaction, and increase customer retention.
5. Human Resources AnalyticsPower BI can be utilized to analyze HR data, including employee performance, recruitment metrics, training effectiveness, and workforce demographics. It provides HR teams with actionable insights to optimize talent management, identify skill gaps, track employee engagement, and improve overall HR decision-making processes.
6. Operational Efficiency MonitoringPower BI allows organizations to monitor operational metrics and KPIs in real-time by integrating data from various operational systems, IoT devices, and sensor networks. It helps identify bottlenecks, inefficiencies, and anomalies, enabling businesses to take proactive measures to enhance operational efficiency, minimize downtime, and optimize resource allocation.
7. Marketing Campaign AnalysisPower BI enables marketers to analyze campaign performance, track marketing ROI, and measure the effectiveness of different marketing channels. By integrating data from advertising platforms, website analytics, and CRM systems, organizations can optimize their marketing strategies, allocate budgets effectively, and drive better marketing outcomes.
8. Risk ManagementPower BI can assist in risk management by consolidating and analyzing data related to potential risks, compliance issues, and security incidents. It provides visualizations and alerts to identify emerging risks, assess their impact, and implement mitigation strategies. This helps organizations proactively manage risks, ensure regulatory compliance, and safeguard their operations.
9. Project ManagementPower BI can be utilized to track and analyze project progress, resource allocation, and task completion. By integrating data from project management tools, time tracking systems, and collaboration platforms, it enables project managers to monitor project health, identify bottlenecks, and make data-driven decisions to ensure successful project delivery.

TOP 12 Facts about Microsoft Power BI

  • Power BI is a business analytics service developed by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
  • Power BI is available as a cloud-based service (Power BI Service), a Windows desktop application (Power BI Desktop), and as mobile apps for Windows, iOS, and Android devices.
  • Power BI integrates with a wide range of data sources, including Excel spreadsheets, SQL databases, cloud services, and many others, allowing users to pull in data from various sources and create unified reports and dashboards.
  • With Power BI, users can create visually appealing and interactive reports and dashboards using a drag-and-drop interface, without the need for complex coding or programming skills.
  • Power BI offers a wide range of data visualization options, including charts, graphs, tables, maps, and more, allowing users to present their data in a visually compelling and easy-to-understand format.
  • Power BI provides powerful data modeling capabilities, allowing users to transform and shape their data before analysis. This includes features such as data cleansing, merging, and creating calculated columns and measures.
  • Power BI offers advanced analytics capabilities, such as natural language querying, forecasting, clustering, and sentiment analysis, enabling users to gain deeper insights and make data-driven decisions.
  • Power BI allows users to collaborate and share their reports and dashboards with others within their organization, making it easy to distribute and communicate insights across teams and departments.
  • Power BI offers a wide range of connectors and integrations with other Microsoft products and services, such as Azure, SharePoint, Dynamics 365, and Office 365, enabling seamless data integration and enhanced functionality.
  • Power BI provides robust security and governance features, including role-based access control, data encryption, and compliance with industry standards such as GDPR and HIPAA, ensuring the safety and privacy of data.
  • Power BI has a vibrant and active community of users and developers, with a rich ecosystem of custom visuals, templates, and extensions available for users to enhance their Power BI experience and extend its capabilities.
  • Power BI offers flexible licensing options, including a free version with limited features, as well as paid plans for individuals and organizations with varying needs and requirements.

What are top Microsoft Power BI instruments and tools?

  • Power BI Desktop: Power BI Desktop is a robust data analysis and visualization tool that allows users to create interactive reports and dashboards. It was first released in 2015 and has since become one of the most popular tools in the Power BI suite. Power BI Desktop offers a wide range of features, including data modeling, advanced calculations, and seamless integration with various data sources.
  • Power BI Service: Power BI Service is a cloud-based platform that enables users to publish, share, and collaborate on Power BI reports and dashboards. It provides a central hub for managing and distributing business intelligence content within an organization. With Power BI Service, users can access their reports and dashboards from anywhere using a web browser or mobile app.
  • Power BI Mobile: Power BI Mobile is a mobile app that allows users to access and interact with Power BI content on their smartphones and tablets. It offers a responsive and intuitive user interface, enabling users to view and analyze data on the go. Power BI Mobile supports offline capabilities, allowing users to download reports and dashboards for offline viewing.
  • Power BI Report Server: Power BI Report Server is an on-premises reporting solution that allows organizations to host Power BI reports within their own infrastructure. It provides the flexibility and security of an on-premises deployment while still leveraging the powerful capabilities of Power BI. Power BI Report Server is particularly useful for organizations with strict data governance requirements.
  • Power BI Embedded: Power BI Embedded is a platform-as-a-service (PaaS) offering that allows developers to integrate Power BI capabilities into their own applications. It provides a set of APIs and SDKs that enable developers to embed Power BI reports and dashboards seamlessly. Power BI Embedded is widely used by software vendors and developers to deliver data visualization capabilities to their customers.
  • Power BI Data Gateway: Power BI Data Gateway is a tool that enables secure data transfer between on-premises data sources and Power BI. It acts as a bridge, allowing Power BI to access data from sources such as SQL Server, Oracle, and SharePoint that are located behind a firewall. Power BI Data Gateway ensures data privacy and enables real-time data refresh in Power BI.

Hard skills of a Microsoft Power BI Developer

As a Microsoft Power BI Developer, having the right hard skills is essential to excel in your role. Here are the key hard skills required at different levels of expertise:

Junior

  • Data Modeling: Ability to design effective data models for Power BI solutions.
  • Data Transformation: Proficiency in transforming raw data into a structured format suitable for analysis.
  • Data Visualization: Skill in creating visually appealing and intuitive dashboards and reports.
  • DAX (Data Analysis Expressions): Understanding and ability to write DAX formulas for calculations and data manipulation.
  • Data Source Connectivity: Knowledge of connecting to different data sources and extracting data for analysis.

Middle

  • Advanced DAX: Mastery of complex DAX functions and formulas for advanced calculations and modeling.
  • Performance Optimization: Ability to optimize Power BI solutions for improved performance and faster loading times.
  • Data Security: Understanding of implementing appropriate security measures to protect sensitive data.
  • Data Integration: Experience in integrating Power BI with other systems and tools for seamless data flow.
  • SQL: Proficiency in writing SQL queries to retrieve and manipulate data from databases.
  • ETL (Extract, Transform, Load): Knowledge of ETL processes and tools to extract data from various sources and load it into Power BI.
  • Data Governance: Understanding of data governance principles and best practices for maintaining data quality and consistency.

Senior

  • Advanced Data Modeling: Expertise in designing complex and optimized data models for large-scale Power BI solutions.
  • Custom Visualizations: Ability to create custom visualizations using Power BI SDK and development tools.
  • Advanced Data Analytics: Proficiency in advanced analytics techniques such as forecasting, clustering, and regression analysis.
  • Power Query: Mastery of Power Query for data transformation and shaping.
  • Power Automate: Knowledge of automating workflows and processes using Power Automate (formerly Microsoft Flow).
  • Advanced Data Security: Expertise in implementing advanced security measures such as row-level security and dynamic security filters.
  • Power BI Embedded: Experience in embedding Power BI reports and dashboards into other applications.
  • Data Storytelling: Skill in presenting data insights effectively and telling compelling stories through visualizations.

Expert/Team Lead

  • Enterprise-level Solutions: Ability to design and develop enterprise-level Power BI solutions with scalability and performance in mind.
  • Advanced Analytics: Expertise in advanced analytics techniques such as machine learning and predictive analytics within Power BI.
  • Data Governance Framework: Knowledge of establishing and maintaining a comprehensive data governance framework for Power BI implementations.
  • Collaboration and Team Management: Experience in leading a team of Power BI developers, coordinating tasks, and ensuring high-quality deliverables.
  • Performance Tuning: Mastery of advanced techniques for optimizing Power BI performance, including data compression and query optimization.
  • Advanced Data Visualization: Skill in creating complex and interactive visualizations using custom visuals and advanced features of Power BI.
  • Power BI Administration: Understanding of Power BI administration tasks, including user management, workspace administration, and content distribution.
  • Cloud Integration: Experience in integrating Power BI with cloud services such as Azure, AWS, and Office 365.
  • Big Data Integration: Knowledge of integrating Power BI with big data platforms and technologies.
  • Mobile Reporting: Ability to design and develop mobile-friendly Power BI reports and dashboards.
  • Training and Mentoring: Capability to train and mentor junior developers, sharing knowledge and best practices.

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