What is Data Wrangling?
Data wrangling is the process of cleaning, structuring and enriching raw data into a desired format for better decision making in less time. Data wrangling is increasingly ubiquitous at today’s top firms. Data has become more diverse and unstructured, demanding increased time spent culling, cleaning, and organizing data ahead of broader analysis. At the same time, with data informing just about every business decision, business users have less time to wait on technical resources for prepared data.
This necessitates a self-service model, and a move away from IT-led data preparation, to a more democratized model of self-service data preparation or data wrangling. This self-service model allows analysts to tackle more complex data more quickly, produce more accurate results, and make better decisions.