Augmented Data Preparation for Business Users Offers Many Benefits!
If your enterprise is entangled in complex data preparation and manipulation, and you want to simplify and expand the use of data preparation to leverage data integration and self-service data prep, you need to explore the potential of augmented data preparation. Data extraction, transformation and loading (ETL) can be a complex, time-consuming process, but self-serve data prep is ETL for business users.
Smart data discovery tools and augmented data preparation allows business users with average skills to perform data preparation activities and to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language.
Self-Serve Data Preparation allows every business user to prepare data for analytics using tools that enable data extraction transformation and loading and quickly move data into the analytics system without waiting for assistance from IT or data scientists.
This simplified data preparation for analytics ensures clear, meaningful access to sophisticated, intuitive tools to compile and prepare data for use in analytics so business users can test hypotheses, visualize data and create and share reports with other users.
Sophisticated, yet easy-to-use machine learning capability provides guidance to determine the best techniques and the best fit transformations for the data business users want to analyze, allowing for better understanding of data.
Original Post: Is Self-Serve Data Prep Easy Enough for All Users?