Challenge
Entering data from financial statements and reports relied on manual work, making the process cumbersome and error-prone.
Learn more about Challenge
日本語版Case study / Jul 24, 2025
Entering data from financial statements and reports relied on manual work, making the process cumbersome and error-prone. Specialized calculations and assessments were also left to manual work, which stood in the way of greater operational efficiency.

Entering data from financial statements and reports relied on manual work, making the process cumbersome and error-prone.
Learn more about ChallengeHigh-precision OCR technology is used to automatically extract tabular data.
Learn more about ApproachGreatly reduced work that previously required manual entry, improving both operational efficiency and data quality at the same time.
Learn more about OutcomesEntering data from financial statements and reports relied on manual work, making the process cumbersome and error-prone.
Specialized calculations and assessments were also left to manual work, which stood in the way of greater operational efficiency.
High-precision OCR technology is used to automatically extract tabular data.
Real-time integration with the operational database also optimized the fallback process for handling misreads.
In addition, strengthening the quality control structure has increased data reliability.

Greatly reduced work that previously required manual entry, improving both operational efficiency and data quality at the same time.
Fewer human errors and faster processing have greatly improved both the accuracy and speed of financial operations.
