Data Literacy and Self-Serve Data Prep Encourage Citizen Data Scientists!
In years past, data preparation was the domain of IT professionals and data scientists. In order to prepare data for analysis, one had to find, gather, and prepare the data and that preparation included cleaning, combining, reduction and shaping of the data.
For the average manager, executive or business user, this complex process meant that they could not receive analysis or reports in a timely manner and that results were often difficult to interpret.
Self-Serve Data Preparation is a process by which business users can view data integrated from disparate sources and easily prepare that data for analysis with ease and clarity. Self-serve data preparation is a crucial piece of the puzzle for business users who want and need to make sense of data.
Self Service Data Preparation allows business users with average skills to perform data preparation (AKA data extraction, transformation and loading or ET). These easy-to-use tools allow business users to transform, shape, reduce, combine, explore, clean, sample and aggregate data, without the need for SQL skills, ETL or other programming language – and all without the assistance of data scientists or IT staff.
Self-Serve Data ETL empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading – ETL for business users! In other words, business users can quickly move data into the analytics system without waiting for IT. 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: Self-Serve Data Prep is Key to Data Democratization!Share