CROSS-PLATFORM DATA VISUALIZATION STRATEGIES FOR BUSINESS STAKEHOLDERS

Abstract

In the rising data-driven corporate world, the skill to provide consistent and manageable insights by successfully visualizing them is a remarkable competency of the business stakeholder. This is further complicated when we have a multi-device and multi-platform environment where the interests of the stakeholders are spread over desktops, mobile phones, tablets and web-based applications. Cross-platform data visualization therefore causes not only that all data visualization at all devices is equally available to users but also stays consistent, responsive and user-friendly, making it capable to make timely and informed decisions. This paper discusses the overall capabilities of carrying out effective cross-platform data visualizations with a focus on designing user interface, data simplification methodologies, and optimization of platforms. It also discusses possible issues like compatibility of different devices, performance capacity, and differences in interaction among them. This paper also compares popular tools such as Microsoft Power BI, Tableau, Plotly, and Apache Superset and examines how tools support the need to visualize datasets without issues regarding the environment in which the system is being used. The paper demonstrates through case studies and real-life practice how business can implement best practice like responsive design, data minimalism, and accessibility-driven improvements. Lastly, it speaks on the new developments such as AI-enhanced visualizations, voice-based interaction and use of immersive technologies such as AR/VR. Such developments indicate the impending emergence of cross-platform visual communication as part of the core business knowledge and interaction with stakeholders.