Data Technology Apply in Business Decision Making: How to Use Data Information to Make Business Decisions in the Digital Age

Xingxian Li

2022

Abstract

Data are an important asset of an enterprise, changing the way information is connected and reshaping the future of the enterprise. To make business decisions quickly and without mistakes, business managers must rely on data and information. The construction of enterprise data information will follow the DIKW model, the seven-step process rule, the four-layer technical framework and the underlying powerful algorithm foundation. Data capature, data cleaning and standardization, and data modeling are the basis for making business decisions based on data information. This academic paper will talk about the basic methods of data standardization and data modeling. It comes from working practice.

Paper Citation

in Harvard Style

Li X. (2022). Data Technology Apply in Business Decision Making: How to Use Data Information to Make Business Decisions in the Digital Age. In Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME; ISBN 978-989-758-636-1, SciTePress, pages 247-256. DOI: 10.5220/0012028900003620

in Bibtex Style

@conference{icemme22,
author={Xingxian Li},
title={Data Technology Apply in Business Decision Making: How to Use Data Information to Make Business Decisions in the Digital Age},
booktitle={Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME},
year={2022},
pages={247-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012028900003620},
isbn={978-989-758-636-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Economic Management and Model Engineering - Volume 1: ICEMME
TI - Data Technology Apply in Business Decision Making: How to Use Data Information to Make Business Decisions in the Digital Age
SN - 978-989-758-636-1
AU - Li X.
PY - 2022
SP - 247
EP - 256
DO - 10.5220/0012028900003620
PB - SciTePress