Title: Research on visualisation transmission method for business innovation strategy data based on structural characteristics

Authors: Jing Hu

Addresses: Office of Admission and Employment, Jiaozuo Teachers College, Jiaozuo 454000, China

Abstract: In order to overcome the problems of low transfer accuracy and user satisfaction existing in the existing data visualisation transfer methods, this paper proposes a data visualisation transfer method of business innovation strategy based on structural features. The similarity calculation method of structure feature tree is used to realise the data structure feature processing. The sub-trees of all non-isomorphic patterns of K nodes are constructed. The number of isomorphic sub-trees is calculated in the tree, and the transfer data division is completed. Based on the basic program of business intelligence, the original data of business innovation strategy is processed, converted into various types of visualisation structure data, and transmitted to relevant personnel in online form to complete the visualisation transmission of business innovation strategy data. The experimental results show that the proposed method is more accurate, up to 99.3%, and users are more satisfied.

Keywords: structural characteristics; business innovation; strategic data; visualisation transmission.

DOI: 10.1504/IJITM.2022.123403

International Journal of Information Technology and Management, 2022 Vol.21 No.2/3, pp.233 - 247

Received: 18 Dec 2019
Accepted: 12 May 2020

Published online: 20 Jun 2022 *

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