QBurst Case Studies Empowering Businesses with Actionable Data through IoT

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	Empowering Businesses with Actionable Data through IoT QBurst

Empowering Businesses with Actionable Data through IoT

QBurst

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
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. Read More
About 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. Read More
Customer Name	Not disclosed Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

Customer Name

Not disclosed

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.

Impact #1	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.

Impact #1

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.

Benefit #1	Significant reduction in application load time
Benefit #2	Scalability to accommodate increasing dataset
Benefit #3	Real-time visualization of tweets, retweets, and shares

Benefit #1

Significant reduction in application load time

Benefit #2

Scalability to accommodate increasing dataset

Benefit #3

Real-time visualization of tweets, retweets, and shares

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Overview

Empowering Businesses with Actionable Data through IoT

Operational Impact

Quantitative Benefit