QBurst > Case Studies > Empowering Businesses with Actionable Data

Empowering Businesses with Actionable Data

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 Empowering Businesses with Actionable Data - IoT ONE Case Study
Technology Category
  • Application Infrastructure & Middleware - Data Visualization
Applicable Functions
  • Business Operation
  • Software Design & Engineering Services
The Challenge

Prior to engaging QBurst, the client used an application that retrieved information from social networks to forecast market trends of various products. The client wanted QBurst to improve the application by making it faster, interactive, and scalable.

The main challenge was to make the application faster and accommodate the ever-growing dataset. Explored various JavaScript frameworks before choosing one that met all the requirements.

The Customer
About The Customer

The client provides services that include the design and management of social media programs, the development of digital engagement strategies, as well as strategic consultation on international security. With a wide network of experts and researchers, they offer analyses and visualizations of social media data to help companies make informed decisions.

The Solution

Leveraging agile technologies, delivered a custom solution that visualizes, analyzes, and generates market trend reports. The visually appealing and fast application easily scales up to accommodate the ever-growing dataset.

  1. Enhanced visualization with D3: Force-directed graphs and tree circulant graphs for enhanced data visualization
  2. Real-time tweets in map view
  3. Interactive live graph highlighting retweets and shares
  4. Map visualization highlights region-specific information on positive and negative tweets
  5. Significantly improved application speed
  6. Scalable with the increasing dataset
  7. Easily integrates with the other JS libraries such as D3, Leaflet, and jQuery


Operational Impact
  • [Efficiency Improvement - Productivity]

    Application load time reduced significantly

  • [Data Management - Data Visualization]

    Map visualization provides insights into tweets, retweets, as well as positive/negative sentiments across regions

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