Method for modeling, analyzing, and self-optimizing multi-source business big data

A business analysis and big data technology, applied in the field of data processing, can solve the problems of large structural differences, low data quality of surged data, poor scalability of data models, etc., to achieve the effect of deepening monitoring and management, and improving data collection capabilities

Inactive Publication Date: 2016-01-20
BEIJING ALAZIN TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the surge data has the problems of low data quality, large structural differences, wide collection range, high processing complexity, poor data model scalability, and inaccurat

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  • Method for modeling, analyzing, and self-optimizing multi-source business big data
  • Method for modeling, analyzing, and self-optimizing multi-source business big data

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Embodiment Construction

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0029] The present invention provides a method for modeling, analyzing and self-optimizing multi-source business big data. The method provides the functions of collecting, processing, assembling, analyzing and displaying business data, and can be used in collecting data and processing diverse businesses. Establish process norms in the process of data source, combine with business requirements, automatically build business models through machine learning, and gather valid data to the main data center. The data in the main data cen...

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Abstract

The invention provides a method for modeling, analyzing, and self-optimizing multi-source business big data. The method comprises steps of: receiving internal data from an enterprise system and external data from the Internet; analyzing the internal data and the external data in order to classify the internal data and the external data into structured data and unstructured data; converting the unstructured data into corresponding text content and extracting and cleaning the converted unstructured data and the structured data; establishing multiple business models according an internal demand of an enterprise, and enabling the business models to perform self-learning and self-optimization according to data input in order to automatically generate a master data center; processing and analyzing data in the master data center in order to obtain a business analysis result; and displaying the business analysis result by using a digital and graphical interface. The method accurately analyzes business data on the premise of data authenticity in order that the business data models are automatically established, optimized and expanded and correlation analysis and display for individualized demands are solved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for modeling, analyzing and self-optimizing multi-source business big data. Background technique [0002] With the accumulation of structured data in daily operations of organizations, industry-related data published on the Internet continues to increase, and business-related data surges. Applying big data technology to improve performance is an urgent need for institutions. [0003] However, the surge data has the problems of low data quality, large structural differences, wide collection range, high processing complexity, poor data model scalability, and inaccurate data analysis algorithm results, and it is impossible to collect the collected data completely. to the main data center, making it impossible to conduct comprehensive analysis and presentation of the data. Contents of the invention [0004] The aim of the present invention is to solve at least on...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06F17/30
Inventor 张健董恒
Owner BEIJING ALAZIN TECH CO LTD
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