MAQ Software is a provider of data analytics and business intelligence solutions, specializing in enhancing data visualization and analysis through custom tools and services. Their suite of products is designed to help organizations transform complex datasets into actionable insights, enabling informed decision-making and improved operational efficiency. Key Features and Functionality: - Custom Visuals for Power BI: MAQ Software offers over 30 certified custom visuals available on Microsoft AppSource, including tools like Grid, Gantt Chart, Box and Whisker Chart, and Calendar. These visuals extend Power BI's capabilities, allowing users to create more insightful and tailored reports. - Migration Services: They provide seamless migration strategies for transitioning reports from platforms such as Tableau, SAP BusinessObjects, and Qlik to Power BI, ensuring business continuity and minimal disruption. - Performance Optimization: MAQ Software's performance analysis tools identify and address bottlenecks in Power BI reports, reducing load times by an average of 50% and enhancing user experience. - Adoption and Training: Through Centers of Excellence , they offer training and support to help organizations adopt Power BI effectively, building user confidence and promoting platform utilization. - Governance Solutions: Their governance services improve report security, increase adoption rates, and help organizations scale their Power BI implementations cost-effectively. Primary Value and Solutions Provided: MAQ Software empowers businesses to harness the full potential of their data by providing advanced visualization tools, efficient migration strategies, and comprehensive support services. By simplifying complex data analysis and enhancing reporting capabilities, they enable organizations to make data-driven decisions swiftly and confidently. Their solutions address common challenges such as lengthy report load times, platform adoption hurdles, and security concerns, ensuring that clients achieve optimal performance and value from their data analytics investments.