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| Warning |
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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
Competitive advantages thanks to Data Science and Machine Learning?
Very much so, but...
Even today, about 80% of the effort is still spent on the provision and cleansing of data.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.
| Tip |
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Boxalino allows you to focus almost directly on the activities that really add value. |
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Data Engineering Overload, Reporting without Actions, Big but Bad Data
The solution with Boxalino Winning Interactions Platform
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