Customer data adds great value to the business and it continues to increase in its volume with the increase in business size. Therefore, managing such a great volume of data and maintaining its quality is indeed challenging. This is when data profiling services pop into the picture.
Data profiling is the process of examining every generated source, analyze the data, and eventually create a useful summary on them. Such an overview of customer data aids in discovering issues and uncovering the insights so as to boost business intelligence. It is the most crucial step of your data marketing services.
3 Different situations where the data profiling process is used
Data Migration: In this step, the huge volume of data is transferred across a different heterogeneous system that includes files, databases, etc. To initialize the process, data profiling is very important so as to discover discrepancies and maintain quality.
Data Integration: When you are planning to merge different data from separate sources, profiling data should be the initial phase. This ensures zero risks while loading the data in the data hub.
Data Cleansing: Even the data cleansing process requires profiling of data to rectify the error and authenticate the validity and relevancy of data. Addressing and optimizing the poor-quality data before data cleansing turns the process risk-free.
More about data profiling!
An organization leverages to improve its decision-making process by introducing data profiling services to its business. It simply performs this by evaluating the integrity of the data and building a statistical report on different characteristics like error count, warning count, duplicate value, etc.
Agents make use of a certain algorithm to scrutinize the data and its validity. While you look for data marketing services make sure you hire experts to get quality results out of it.
