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Empowering Businesses with Actionable Data through IoT

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 Empowering Businesses with Actionable Data through IoT - IoT ONE Case Study
Technology Category
  • Application Infrastructure & Middleware - Data Visualization
  • Application Infrastructure & Middleware - Event-Driven Application
Applicable Functions
  • Product Research & Development
Use Cases
  • Digital Thread
Services
  • Data Science Services
The Challenge
The client, a provider of services including design and management of social media programs, development of digital engagement strategy, and strategic consultation on international security, was in need of a solution that could help them analyze and visualize social media data. They wanted to offer their customers detailed analyses and visualizations of social media data to help them make informed decisions. The challenge was to create a visually appealing and fast application that could visualize, analyze, and generate market trend reports. The application needed to be scalable to accommodate the ever-growing dataset.
The Customer
About The Customer
The client is a service provider in the information technology industry. Their services include design and management of social media programs, development of digital engagement strategy, and strategic consultation on international security. They have a wide network of experts and researchers and aim to offer analyses and visualizations of social media data to help companies make informed decisions. Their goal is to provide their customers with actionable data that can guide their marketing strategies and business decisions.
The Solution
A custom solution was developed that provides big data visualization of data from social media. The application leverages agile technologies to visualize, analyze, and generate market trend reports. It features enhanced visualization with D3, including force-directed graphs and tree circulant graphs. It also provides real-time tweets in map view, an interactive live graph highlighting retweets and shares, and map visualization that highlights region-specific information on positive and negative tweets. The application is scalable with an increasing dataset and easily integrates with other JS libraries such as D3, Leaflet, and jQuery. The solution significantly improved application speed and provided a rich and aesthetically designed user interface with enhanced visualization.
Operational Impact
  • The custom solution provided the client with a powerful tool for visualizing and analyzing social media data. The visually appealing and fast application not only improved the user experience but also provided rich and detailed insights into market trends. The map visualization feature allowed the client to gain region-specific insights into tweets, retweets, and sentiments, which could be invaluable for companies looking to target specific markets or understand regional trends. The application's scalability ensured that it could handle an increasing dataset, making it a reliable tool for the client's growing needs. The solution's easy integration with other JS libraries also added to its versatility and functionality.
Quantitative Benefit
  • Significant reduction in application load time
  • Scalability to accommodate increasing dataset
  • Real-time visualization of tweets, retweets, and shares

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