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These optimizations achieve an additional 5% 10% to 20%+ revenue percentage and improve the margin and competitiveness accordingly.
What is Boxalino’s offering?
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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 allows you to focus almost directly entirely on the activities that really add value. |
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As a result, you are likely to be swamped below a gigantic pile of heterogeneous data from different sources, in different formats, all of which are quite big (which makes them costly and hard to transfer) but are not what you need to actually bring a business impact that is measurable with an a/b tests so you know what you gain out of it.
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The solution with Boxalino
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Data Science Ecosystem
Boxalino offers a complete Data Science Ecosystem.
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This means that with Boxalino, all the platforms necessary to optimize your online success with data science and artificial intelligence will be automatically there.
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As we explained in detail, in How to orient your Company towards Data Science? , there are 3 key profiles of Data Scientists:
Data Engineer
Data Science Analyst
Core Data Scientist
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Each focusing on a different section of the Data Science Pyramid of Needs:
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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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