Customer Data Analytics Should Be Introduced

A certain definition to the Customer Data Analytics is an optimal or realistic decision according to given data

. We can treat it as a science of analysis to the customer data. Generally, managers in the companies are trend to take decisions according to their experience or some qualitative aspects. However, without the consideration of data, the decision will not be objective enough.

The decisions of customer data analytics are original by Frederic. Winslow Talor in the 19 century. However, the analytics arouses the widely attention until the 1960s because the population of the computers offers crucial support systems to it. Since then, analytics has been developed to data warehouses, enterprise resource planning system and a wide variety of other applications and software.

As a useful business strategy, customer data analytics can create some information, which can help the business firm enhance the accuracy and efficiency of the business decisions. Therefore, the business can be easy to make up their deficiency and improve their capability to running businesses. "Companies need to compete based on key business processes, and how they optimize these processes with analytics," says Thomas davenports that are the professor in Babson College, USA. Customer data analytics brings a scientific and objective application to solve the business problems for companies. When the companies face the practical problem that how to make an optimal or realistic decision according to the existing data, customer data analytics is helpful to leverage the business data for business firms. Then the keener decisions which are needed in solving the operational problems by companies may occur. Compared to the analytics by human, the information offered by the system are more well-organized and productive. It is especially useful in the industries of telecom, retail, finance and healthcare. This system can help them win the competition among other companies.

The customer data analytics is useful to set an accurate sales target and aligning production. It also can be applied to the marketing. Through analyzing and evaluate the tend of marketing campaigns to set the programs of promotion.

by: carlos

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