For Data Scientists using a data enrichment platform

For Data Scientists using a data enrichment platform, they have typically found that most Data Scientists spend:

60% of the time in organising and cleaning data (!).
19% of the time is spent on collecting datasets.
9% of the time is spent in mining the data to draw patterns.
3% of the time is spent on training the datasets.
4% of the time is spent on refining the algorithms.
5% of the time is spent on other tasks.

57% of them consider the data cleaning process the most boring and least enjoyable task. If you are a small business owner, you probably don’t need a Data Scientist, but you will need to clean your data and ensure a proper standard of information. Yes, this is annoying, but so are many things in life that are very important!

When you’ve done the legwork to ensure your data quality, you’ll have built yourself the useful asset of accurate data sets that can be transformed, joined, and measured with statistical methods.

To find out more about the cost and time saving benefits of cleaning data using Data Engineering, please join us on our Webinar (2nd September from 11am to 12pm) where we will talk about “Data Engineering in Insurance” – https://lnkd.in/g-HBhE2