Intcube General Manager Invited to Attend 2017 China International Big Data Industry Expo_News_北京智达方通科技有限公司

On May 26, 2017, Mr. Zhihong Cai, General Manager of Beijing Intcube Technology Co., Ltd., participated in the 2017 China International Big Data Industry Expo and delivered a keynote speech titled "Enhancing Enterprise Performance through Big Data and Business Intelligence" at the "Big Data and Business Innovation Forum."

The "Big Data and Business Innovation Forum" aimed to build a communication platform among academia, government, and industry in the field of big data, strengthen the sharing of practical experiences in the big data industry, and seek cooperation and consensus. Such high-level dialogue and sharing are of great significance for addressing the challenges and bottlenecks in China's big data development and further promoting the healthy growth of the big data industry.

"Why can enterprises still not grasp their operational status in real-time after years of implementing ERP? What is the profit margin trend for a specific product model over the past three months? How should departmental business plans be adjusted to increase the company's target profit margin?" Mr. Zhihong Cai emphasized that years of business system informatization have allowed enterprises to accumulate vast amounts of financial and operational data. The key to further enhancing enterprise competitiveness lies in analyzing this data and establishing linkages and causal relationships between data at various business levels.

At the Second International Conference on Big Data Science and Engineering held during this expo, Academician Zongben Xu of the Chinese Academy of Sciences pointed out: "Big data analysis and processing are the core of big data technology." Distributed system architectures such as Hadoop can enable the transformation of massive enterprise data from "cold" to "hot." However, the critical technology for solving enterprise performance management (EPM) and achieving management accounting informatization lies in how data from highly structured business systems can be imported into data warehouses for multidimensional analysis.