Believe it or not, 2017 is fast approaching. And while 2016 was a breakthrough year in the self-service data preparation and analytics world, 2017 will bring just as many – if not more – innovations that continue to transform how data scientists, data analysts, and business users harness insights to deliver business value and improve operational processes.
Here are five data prep and analytics predictions to watch for in 2017. 1. Data Quality and Data Prep Will Begin to Converge. Today, data quality and data preparation are two separate and distinct functions. But, as they evolve, data prep solutions are starting to incorporate many data quality capabilities. Data prep pulls information from a variety of disparate sources and then blends and manipulates it so it’s clean and accurate for analysis.
Author: Jon Pilkington