DATA MINING TECHNIQUES FOR MARKETING SALES AND CUSTOMER

This manuscript exposes the essential considerations in water management of the applicability of data mining, artificial neural network and swarm of particles techniques, as an input for prediction and planning in the management, using artificial intelligence.

Using Association Rules to Compare Stores
Market basket analysis is commonly used to make comparisons between loca­ tions within a single chain. The rule about toilet bowl cleaner sales in hardware stores is an example where sales at new stores are compared to sales at exist[r]

Operational Summary Data
Operational summaries play the same role as transactions; the difference being that operational summaries are derived from transactions. The most common examples are billing systems, which summarize transactions, usually into monthly or four-week bill cycles. The[r]

_CHỌN VÀ LÀM ĐẤT: CHỌN LOẠI ĐẤT NHẸ, TƠI XỐP GIÀU MÙN, NHIỀU CÁT, DỄ _ thoát nước, độ PH từ 6 đến 6,5 như các loại đất thịt nhẹ, đất cát pha, đất phù sa ven sông để trồng kiệu là tốt nhấ[r]

• Questionnaire design and conducting survey: using results from the previous step, this stage refers to the development of the questionnaire, the determination of survey parameters and the survey conduction.
• Analysis: the two different approaches come to prediction. In case the[r]

Decision trees require less data preparation than many other techniques because they are equally adept at handling continuous and categorical vari­ ables. Categorical variables, which pose problems for neural networks and sta­ tistical techniques, are split[r]

ĐỐI VỚI SẢN PHẨM ĐỘNG VẬT KIỂM DỊCH TẠI CÁC LÒ GIẾT MỔ GIA SÚC GIA CẦM TẬP TRUNG CÁC HUYỆN THỊ, THÀNH PHỐ THÔNG TIN Lĩnh vực thống kê:Nông nghiệp Cơ quan có thẩm quyền quyết định:Trạm Ki[r]

one of the most popular marketing claims of recent times — is often limited to the creation of value for money. Companies add new features to their products while maintaining price. Or, they retain all of the essential product features and find ways to reduce price. Or, in[r]

8. Data Mining Process-Related Problems
Important topics exist in improving data-mining tools and processes through automation, as suggested by several researchers. Specific issues include how to auto- mate the composition of data mining operations <[r]

This chapter discuss the role of a company’s salespeople in creating value for customers and building customer relationships, identify and explain the six major sales force management steps, discuss the personal selling process, distinguishing between transaction-oriented marketing and relationship[r]

Forecasting techniques can be categorized in two broad categories: quantitative
and qualitative. The techniques in the quantitative category include mathematical models
such as moving average, straight-line projection, exponential smoothing, regression,
trend-line analysis, simulation, life-cycle[r]

TRANG 3 GROW SALES FASTER THE CUSTOMER SUCCESS PLATFORM SALES SERVICE MARKETING COMMUNITY ANALYTICS APPS TRANG 4 CUSTOMER SUCCESS PLATFORM THE WORLD’S #1 SALES APPLICATION GROW PIPELINE [r]

To prepare an accounts receivable aging report, credit sales and cash collections data is needed for each customer granted credit.. Where will you collect the data you need to prepare th[r]

Lecture Business management information system - Lecture 26: Data mining. In this chapter, the following content will be discussed: What is data mining? Why data mining? What applications? What techniques? What process? What software?

Answer: TRUE Diff: 2 Keywords: measurement error, data collection Section: 1-3 Populations, Samples and Sampling Techniques Outcome: 3 74 The sales data for a company measured in the wee[r]

a A company can use online customer feedback systems to collect competitive intelligence.
Online customer feedback facilitates collection and dissemination of information on a global scale, usually at low cost. Through online customer review boards or forums, on[r]

METHODOLOGY AND INSTRUMENTS: † CUSTOMER SATISFACTION SURVEY ORIGINAL STUDY „ Five point scale 1= strongly disagree; 5= strongly agree „ Consists of 18 statements 17 address service, 1 ov[r]

In this chapter students will be able to: The revolution in internet marketing technologies, web transaction logs, tracking files, databases, data warehouses and data mining, customer relationship management (CRM) systems,...

352 Chapter 11
Two different astronomers, Enjar Hertzsprung in Denmark and Norris Russell in the United States, thought of doing this at about the same time. They both observed that in the resulting scatter plot, the stars fall into three clusters. This observation led to further work[r]

How does this company—or any similar large corporation—manage its billing process, the bread and butter of its business, responsible for the major­ ity of its revenue? The answer is simple: Very carefully! Companies have developed detailed processes for handling standard opera[r]