Business intelligence makes marketing more accurate

Driven by big data backgrounds, more and more industries and businesses are focusing on data mining analytics, and business data is used for marketing as early as a decade ago.

The famous American department store teenage pregnancy case, using the customer's purchase record data, speculated that teenage pregnancy, and then recommended a series of maternity products. Teenage parents know the rage, but the truth is that the girl concealed the pregnancy news.

You may smile when you see this, but if you look at the deep analysis, from the purchase of a girl to a product recommendation to consumption, how the department store hit such a fact. The answer is data, and all the girls ' behavior in this department store is data.

From the enterprise point of view, that is, the information into observable measurement of data, making marketing action objectives are clear, traceable, measurable, can be optimized to form a consumption-data-marketing-effect-consumption of data-centric marketing closed-loop.

As a core product in the background of big data, business intelligence is becoming more and more important in directing the marketing of enterprises. By using business intelligence Finebi in various industries, we can divide business intelligence into the following three points for precision marketing:

Business Intelligence builds digital context

Business intelligence is to form a data network by building an information integration, resource sharing, functional integration of enterprise information decision analysis platform, establishing data Warehouse, collecting and processing the data of commercial problem, establishing data analysis model and using data mining technology for subsequent data interpretation. For example, from the internal point of view, we can from the geographical, customer, time and other angles, sales, product prices and other indicators of cross-linked analysis, from the outside, through the provision of decision-support multimedia, text information, organizational structure, industry and other characteristics of analysis. Optimize your marketing model with data analysis results and iterate through data optimization again.

Business intelligence makes data physical and chemical

Enterprises have too much data with "regional" or "regional" characteristics, so, marketing data geography, is very important "value factor". These unstructured data can be handled very well at the current level of business intelligence. We can use business intelligence to target marketing data, analyze the data, analyze the location, serve the marketing mix strategy and customer relationship management. Through the analysis of market share, penetration level, around the construction of the basis to determine a business district. If we need to further establish a branch in a certain area, then we can further analyze the commercialization level, population density, consumption level and traffic condition of the region to determine the location and size of the store.

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Business intelligence gives you a better understanding of your customers

Any marketing is based on customer demand to profit, therefore, customer analysis is crucial. For example, if you're a real estate salesman, when you're distributing flyers, how do you know that people around age 30 and around 45 are more likely to buy a home, some say it's experience. But in fact this is only considering the customer age this one factor, if is at the marketing level, aimed at the customer thousands, we must consider not only the age, but also the income level, the education situation, the consumption way and so on including the external environment analysis. Business intelligence can help marketers identify opportunities and ways to influence consumers, achieve precise marketing for different levels of users, and understand customers through data.

There is a sentence to organize very incisive, data analysis is intended to marketing, knowing and then a blow. Enterprise Application Business Intelligence is no longer a trend, but is inevitable, it helps the enterprise to the information data, make the management scientific, form a whole data network, make marketing more accurate.

Business intelligence makes marketing more accurate