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Business trend prediction method and system

A trend forecasting and business technology, applied in forecasting, special data processing applications, instruments, etc., can solve problems that are not market competition, business development has no practical guiding significance, etc., and achieve the effect of improving competitiveness and improving service quality

Active Publication Date: 2014-03-26
TSINGHUA UNIV +1
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] This forecast based on call volume has no practical guiding significance for business development, because for telecom operators, these are not the key to market competition. The real key lies in providing users with more satisfactory services and improving user loyalty. At the same time, it can attract new users while providing better mobile phone value-added services. Therefore, for telecom operators, it is more important to help them understand business development trends in a timely manner and discover them in a timely manner. Abnormalities in business operation, and then find coping strategies in a timely manner, improve their service quality, and improve their competitiveness

Method used

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  • Business trend prediction method and system

Examples

Experimental program
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Embodiment 1

[0072] The forecast item selected by the user is the number of traffic services activated, the forecast period selected by the user is daily, and the business period of the forecast item is one month. If today is November 15, if the user needs to know the traffic service on November 16 , then November 16 is the selected forecast cycle, and the previous forecast cycle is October 16. If users need to know the number of traffic services activated on November 16, 17, and 18, the previous forecast cycle is October 16. The sequential forecast periods are October 16, 17 and 18 respectively.

[0073] Step S402: Calculate the sum of the preliminary forecast data and the statistical historical business data of the previous forecast period as the forecast data.

[0074] In the process of de-periodization processing using the difference method, if the business cycle contains different numbers of forecast cycles, it is usually supplemented by interpolation to meet the conditions of the dif...

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Abstract

The invention discloses a business trend prediction method and system. The business trend prediction method includes: acquiring a statistics historical business data sequence of prediction items with prediction periods as units from a business center system; subjecting the statistics historical business data sequence to periodization removal processing according to business periods of the prediction items to acquire the processed statistic historical business data sequence; according to the processed statistic historical business data sequence, adopting a time sequence prediction method to have business trend within selected prediction periods of the prediction items predicted to acquire preliminary predication data; subjecting the preliminary prediction data to periodization restoration processing corresponding to the periodization removal processing to acquire the prediction data of the selected prediction periods. Through prediction of development trend on online business, operators can be assisted in knowing variation trend of business in advance and discovering unusual situations of the business, so that the operators can find coping strategies in time to improve service quality and competitiveness of the same.

Description

technical field [0001] The present invention relates to the fields of data analysis and signal processing, and in particular to a business trend prediction method and system. The business trend prediction method and system of the present invention are particularly suitable for application in the telecommunications industry. Background technique [0002] With the rapid development of the mobile Internet industry, mobile phones have gradually become a necessity in people's daily life, and the additional functions of mobile phones are becoming more and more powerful. Therefore, their calling functions are gradually weakened. With the emergence of various network communication technologies, telecommunications The industry is facing more and more competition and challenges. In order to seek better development, various companies have launched a variety of mobile phone value-added services, hoping to stabilize their position under the impact of today's Internet wave. For the busine...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06Q10/04
Inventor 吴及侯晋峰吕萍何婷婷胡国平胡郁
Owner TSINGHUA UNIV
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