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What problems does the Boxalino Platform solve?
A broken
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bridge between UX and AI
The world of User Experience (UX) saw a great number of improvements during the last few years, from Headless CMS to Micro-services oriented front-end architecture vastly overperforming their monolithic ancestors both in speed and efficiency.
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However, significant hurdles remain in the way of SMBs, and they are in the bridge between these two worlds. To transfer the data from the Real-Time UX behaviors requires a lot of efforts (most companies do it only a little bit with Web Analytics platforms which are not adapted for Data Scientist to work efficiently with data) and to load the results of data science into the real-time operational systems like the e-shop of the Newsletter systems requires a lot of custom work and for data scientists to explain what to do to Dev/Op (IT) engineers who do not always understand each other easily.
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The main issue is caused by a lack of standards and platforms supporting the way to collect data from your operational systems and to upload predictive models and other types of data back into your operational systems.
The Data Science Dilemma
One of the most problematic issues with Data Science for SMBs the amount of time needed for Data engineering (mainly collecting, cleaning, and organizing data) which represents a scary 80% of the time for most Data Scientists.
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Boxalino provides the entire ecosystem to your Data Science Analysts. All the hurdles are removed!
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Your Data Science Analysts can quickly and efficiently:
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