"Are You Getting the Data You Need Quickly?" Management Pushes for DX, But Staff are Stuck with Manual Work... The "Data Infrastructure Wall" Faced by 90% of Companies

A survey by Keywalker reveals that about 90% of Japanese companies lack a fully developed data infrastructure, creating a gap between management's DX goals and the reality of manual, burdensome data work for frontline employees.
Survey ReportNQ 92/100出典：PR Times

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  • 📰 Published: May 20, 2026 at 20:00
  • 🔍 Collected: May 20, 2026 at 11:31
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A survey by Keywalker Inc. found that for about 60% of companies, it takes several hours or more to obtain data needed for management decisions. Furthermore, about 80% of frontline employees feel burdened by data management, extraction, and processing tasks. The primary challenges cited are scattered data across multiple systems and manual extraction processes. Only about 12% of companies report having a "fully developed" data infrastructure, highlighting that most face organizational barriers like resource and skill shortages.

FAQ

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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