AUTO GENERATIVE VISUALIZATION AND AUTO GENERATIVE INSIGHTS
Keywords:
Automated Visualization, Automated Insights Generation, Digital Analytics, Data-driven Decision Making, Data Visualization, Machine Learning Algorithms, Social Media Analytics, Google Analytics, Marketing Analytics, Cross-Platform Insights, Data Exploration, Pattern Recognition, Trend Analysis, Anomaly Detection, User Behavior Analysis, Marketing Effectiveness, Data Interpretation, Decision Support System, Business Intelligence, Data Mining, Visual Analytics, Interactive Dashboards, Holistic Data Analysis, Strategic Planning, Information Presentation, Actionable Insights, Data-driven Strategy, Data-driven MarketingAbstract
In today's data-driven landscape, organizations are inundated with vast volumes of data generated from various digital platforms such as Google Analytics, social media platforms (YouTube, Facebook, Instagram, Twitter, TikTok), and marketing campaigns. Extracting meaningful insights from this wealth of data is a complex task that requires not only expertise in data analysis but also the ability to effectively visualize and interpret the information. This paper presents a comprehensive framework designed to automate the visualization and generation of insights from diverse digital analytics sources. By harnessing the power of automated visualization and insights techniques, this framework aims to empower businesses with the ability to uncover hidden patterns, trends, and actionable insights, facilitating informed decision-making and strategic planning across multiple platforms.
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Copyright (c) -1 Lakshmi Namratha Vempaty, Durga Prasanna Kumar Melam (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
