What is data preparation?

Data preparation is the process of transforming raw data to extract value and ensure data quality. This mandatory step of preprocessing ensures that data is reformatted, corrected and can combine various datasets to refine the information which has been collected.

Data preparation is a time-consuming process however, it is an imperative stage of data analytics that removes any misleading or biased data quality. Business decisions can only be made when precise and dependable data that has been cleaned and processed is presented for collaboration with business users. It is also essential for the automatic generation of marketing content from data.

Steps to ensure accurate data preparation include:

Using automation for data prep is exceedingly recommended to reduce processing time so professionals can concentrate on data analytics. This increases scalability so the process of data preparation evolves at the same speed as the business and ensures a higher quality and quantity of data collected. Automation also helps to evade human error and to maintain quality data management. Essentially, it is impossible to analyse data without preprocessing it. These kinds of production units ensure the data is analysed with a methodological process to produce precise and reliable information.