bromin7 Inc
May 17, 2024
No image
Completed
Twitter (now X)
$100,000+
2-3 months
United States, New York
2-5
Service categories
Service Lines
Big Data
Software Development
Domain focus
Advertising & Marketing
Technology
Programming language
JavaScript
Python
SQL
Frameworks
jQuery
React.js
Torch/PyTorch
Subcategories
Big Data
Data Analytics
Data Quality
Data Science
Software Development
Enterprise Software
Challenge
Twitter needed to develop an internal web app to help teams efficiently explore and analyze data. Their existing tool was limited, relying on a small sample data set and offering only basic functionality. This made it difficult for teams to navigate and analyze large data sets effectively. The challenge was to create a more robust solution that would scale with Twitter's growing data needs and provide dynamic drill-down capabilities into essential data sets, ultimately improving data analysis efficiency and decision-making.
Twitter needed to develop an internal web app to help teams efficiently explore and analyze data. Their existing tool was limited, relying on a small sample data set and offering only basic functionality. This made it difficult for teams to navigate and analyze large data sets effectively. The challenge was to create a more robust solution that would scale with Twitter's growing data needs and provide dynamic drill-down capabilities into essential data sets, ultimately improving data analysis efficiency and decision-making.
Solution
Our team developed a robust solution that enabled dynamic drill-down into essential data sets, allowing Twitter to scale their existing capabilities. The new software facilitated effective navigation and analysis of large data sets in a structured and responsive manner.
Our team developed a robust solution that enabled dynamic drill-down into essential data sets, allowing Twitter to scale their existing capabilities. The new software facilitated effective navigation and analysis of large data sets in a structured and responsive manner.
Results
The software we developed had a significant impact on Twitter's data analysis processes. It allowed teams to navigate and analyze large data sets in a structured and responsive manner, leading to more accurate and timely decision-making. This improvement in data handling capabilities resulted in better business outcomes, as teams could now rely on comprehensive data insights to guide their strategies and operations. The enhanced functionality and scalability of the tool provided Twitter with a robust solution that supported their long-term data analysis needs, fostering a data-driven culture within the organization.
The software we developed had a significant impact on Twitter's data analysis processes. It allowed teams to navigate and analyze large data sets in a structured and responsive manner, leading to more accurate and timely decision-making. This improvement in data handling capabilities resulted in better business outcomes, as teams could now rely on comprehensive data insights to guide their strategies and operations. The enhanced functionality and scalability of the tool provided Twitter with a robust solution that supported their long-term data analysis needs, fostering a data-driven culture within the organization.