Normalization, in the context of data management and databases, refers to the process of organizing data to reduce redundancy and improve data integrity. This usually involves dividing databases into two or more tables and defining relationships between the tables. The goal is to isolate data so that amendments to a field can be made in just one table and to retrieve data efficiently. It's also used in machine learning and data science to rescale numerical features to a standard range (e.g., 0 to 1) without distorting differences in the ranges of values. This can improve the performance of algorithms sensitive to the scale of the input data.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
Use Sumble to: