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%).

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【必要なデータ、すぐ取れていますか？】経営層は「DX推進」、現場は「手作業」・・・企業の9割が抱える「データ基盤の壁」

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AI サマリー（NQ 加工済み）

A survey of 1,005 executives and DX/data employees by Keywalker Inc. found that approximately 90% of companies lack a fully developed data infrastructure. This leads to slow data retrieval for management (60% take hours to days) and a significant manual workload for frontline staff (80% feel burdened), with key obstacles being scattered data and shortages of resources and skills.

AI 分析

よくある質問

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%).