Data preparation accounts for about 80 percent of the work of data citizens. This means time is spent cleaning, organizing and collecting data sets rather than mining curated datasets for analytics and building predictive models.
It’s expected that by 2022, automated data preparation will be utilized in more than 70 percent of new data integration projects for analytics and data science.
Modernizing your data preparation can help in reducing the time to insight and data delivery. Read this eBook to learn the 8 simple building blocks for data preparation.