Data is the 21st century's greatest commodity. Are you using it to your advantage? Our data science work combines machine learning, AI, and advanced statistical methods to increase revenue and save your business money.
We partnered with ACB to create a recommendation and personalization engine that integrated with their CRM that generated over $15,000 in 72 hours!
4PatientCare partnered with Quantum Analytica segment their customers, develop targeted digital marketing campaigns, and evaluate the efficacy of these campaigns in real-time. We implemented a novel machine learning approach that increased revenue by $90,000 per month!
We worked with Avochato to create custom language embeddings geared towards SMS, Slack, and colloquial/informal semantic structure in order to classify how positive or negative customer communications are in real-time.
Small business need to utilize their data in order flourish in today's digital economy. Austin Custom Brass previously invested in SEO services that had little to no return, and ACB recognized that they needed to start making data-driven decisions. ACB partnered with Quantum Analytica on how they can use their data to improve customer engagement. We provided ACB with highly granular insights allowing them to create personalized social media campaigns that resulted in an attributable revenue of $1800 within the first day of launching the campaign and increased customer engagement by 500%.
Financial time series forecasting is challenging for a multitude of reasons, particularly due to the highly stochastic nature of the dynamical system. However, traditional assets have been well studied and have petabytes of data in order to develop forecasting models. Unlike traditional assets, cryptocurrencies are still relatively new and have limited amounts of data in comparison. Quantum Analytica partnered with CoinGenius to develop a novel approach to cryptocurrency forecasting that blended traditional financial forecasting methodologies, such as Markovian models, with non-linear dynamical methods and deep learning to develop a novel model pipeline that could robustly forecast daily and weekly trends in cryptocurrency market.
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