Editing Customer relationship management (section)

=== Analytical ===
The role of analytical CRM systems is to analyze customer data collected through multiple sources and present it so that business managers can make more informed decisions.<ref>{{cite journal |last1=Josiah |first1=Ahaiwe |last2=Ikenna |first2=Oluigbo |date=February 2015 |title=Role of Technology in Accounting and E-accounting |url=https://www.academia.edu/12111029 |journal=International Journal of Computer Science and Mobile Computing |volume=4 |issue=2 |pages=208–215 |access-date=27 October 2018 }}</ref> Analytical CRM systems use techniques such as data mining, correlation, and [[pattern recognition]] to analyze customer data. These analytics help improve customer service by finding small problems which can be solved, perhaps by marketing to different parts of a consumer audience differently.<ref name="crmsoftware-2015"/> For example, through the analysis of a customer base's buying behavior, a company might see that this customer base has not been buying a lot of products recently. After reviewing their data, the company might think to market to this subset of consumers differently to best communicate how this company's products might benefit this group specifically.