How long does it typically take for executives to obtain data needed for business decisions?

According to the survey, about 60% of companies take several hours to more than two days to retrieve necessary data, while only about 40% can access it in real-time or within a few minutes.

What are the main challenges employees face when extracting and processing data?

The most common challenges are data being scattered across multiple systems and departments (40.7%), followed by manual extraction and processing (33.8%), and large data volumes that are slow to process (32.2%).

What percentage of companies have a fully developed data infrastructure?

Only 12% of companies believe their data infrastructure is 'fully developed,' meaning nearly 90% of companies recognize that their systems are not yet sufficient.

What are the primary reasons for inadequate data infrastructure in companies?

The main factors are a lack of human resources (40.4%), insufficient skills for analysis and tool usage (39.0%), and the absence of established rules and operational systems for data utilization (38.4%).

What steps are companies planning to take to improve their data utilization?

The top priorities are introducing and utilizing analysis tools (38.4%), automating data cleansing and processing (37.3%), and improving data visualization through dashboards (36.6%).

AI News NQ Analysis

【您能立即取得所需數據嗎？】高層推動「數位轉型」，現場卻「手動作業」…九成企業面臨的「數據基礎設施之牆」

NQ 評分 92/100

AI 摘要（NQ 加工版）

根據Keywalker的調查，約九成日本企業的數據基礎設施整備不全，導致管理層的數位轉型目標與前線員工手動處理數據的繁重現實之間存在巨大鴻溝。

AI 分析

常見問題

Q: How long does it typically take for executives to obtain data needed for business decisions?: A: According to the survey, about 60% of companies take several hours to more than two days to retrieve necessary data, while only about 40% can access it in real-time or within a few minutes.
Q: What are the main challenges employees face when extracting and processing data?: A: The most common challenges are data being scattered across multiple systems and departments (40.7%), followed by manual extraction and processing (33.8%), and large data volumes that are slow to process (32.2%).
Q: What percentage of companies have a fully developed data infrastructure?: A: Only 12% of companies believe their data infrastructure is 'fully developed,' meaning nearly 90% of companies recognize that their systems are not yet sufficient.
Q: What are the primary reasons for inadequate data infrastructure in companies?: A: The main factors are a lack of human resources (40.4%), insufficient skills for analysis and tool usage (39.0%), and the absence of established rules and operational systems for data utilization (38.4%).
Q: What steps are companies planning to take to improve their data utilization?: A: The top priorities are introducing and utilizing analysis tools (38.4%), automating data cleansing and processing (37.3%), and improving data visualization through dashboards (36.6%).