Betting
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BetQL
BetQL's computer model identifies mispriced sports bets
for 14 sports leagues including NFL, NBA, MLB, NHL, NCAA
Football and NCAA Basketball action.
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Step 1: Investigation
During the investigation phase, our team conducted thorough
research to understand the sports betting market, target
audience, and competition.One of the main challenges in
developing the BetQL app was the complexity of data analysis
and modeling required to accurately identify mispriced sports
bets across multiple sports leagues.Development process
involved acquiring and integrating diverse data sources,
implementing sophisticated algorithms, and continuously
updating and refining the models to maintain their accuracy.
Overcoming these challenges required a strong technical
experts of 3 developers, 1 project manager, 2 designers and 1
QA engineer.
Step 2: Planning
The roadmap of the development included setting specific goals
and objectives, determining the scope of work, creating a
detailed project timeline with milestones and deliverables,
allocating resources effectively, and establishing
communication and collaboration processes within the team. The
planning phase also involved identifying potential risks and
challenges, devising mitigation strategies, and ensuring
alignment between the app's features, target audience,
and business goals. By thoroughly planning the development
process, the team set a solid foundation for the
project's success and guide the subsequent implementation
stages effectively.
Step 3: Design
One of the main challenges in the design process for the BetQL
app was seamlessly integrating and presenting data from 14
sports leagues. Our team of designers used a powerful
designing tool Figma to combine such a diverse range of sports
leagues with their unique data structures and formats. We
developed a cohesive and unified design approach that
accommodates the specific needs of each league while
maintaining a consistent user experience across the app.
Step 4: Development and testing
By utilizing Swift for iOS development and Kotlin for Android
development in the BetQL app, our development team addressed
platform-specific challenges and ensured optimal performance,
native user interfaces, and access to platform-specific
features. To update betting data throughout the app, the team
implemented WebSockets, enabling real-time data streaming and
updates. This solution effectively solved challenges such as
providing instant updates on live scores and odds, reducing
network requests by establishing bidirectional communication,
delivering a seamless user experience with timely
notifications.
Step 5: Release
Before launching the app on stores, our team conducted a
testing and quality assurance to ensure the app's
stability, functionality, and compatibility across different
devices and operating systems. After that the app was
submitted to App Store and Google Play Store following their
guidelines and requirements. Additionally, support and
feedback channels were established to gather user insights and
promptly address any issues that arise.
Results
Interested in our services? Tell us about your project!
or call us
212-499 0000
What Happens Next?
Schedule a call
We do a discovery and consultation meeting
We prepare a proposal
