The current state of data stored by companies

The amount of data stored by companies continues to increase, with the use of cloud-based storage in recent years in addition to the use of on-premises computers and data center storage.

A lot of that data is usually unstructured, untransformed and unorganized. Even if PDFs, text files, images, videos, and audio files are stored, such storage methods make it difficult to access the content, analyze the content, and use it for business. On top of that, the amount of unstructured data companies have is growing by 55-65% every year, and it's not a quick fix.

In order to solve this problem, we recommend that the digital data held by these companies be aggregated in a consistent manner. Structuring your data is an important "first step" towards implementing an AI solution and can save you time and money.

Benefits of structured data

データの構造化がメリットになる一般的な例として、小売事業者のカタログの改善とユーザ体験の向上が挙げられます。小売事業者は現在、製品の特徴や注文書など重要なデータの多くをファックス用紙、PDF、デジタル画像といった様々な形式で受け取っています。非構造化データを使用した適切な在庫管理が行われているような場合でも、各企業のニーズに合わせてデータのデジタル化、分類、タグ付けを行えば、それを使用してより徹底した最新の製品カタログを作成することができます。従業員だけでなく、顧客もオンライン検索の機能改善により、より正確な在庫管理が実感できるようになります。また、受注処理がより正確になるため、処理も迅速になります。

Additionally, structuring the data will prepare it for more advanced AI solutions. In addition to the business processing improvements mentioned above, structured data can be used in a wide range of machine learning applications. This reduces costs, increases efficiency, improves accuracy and reduces reliance on human labor.

And by structuring the retained data, it will be possible to utilize data that has remained untouched until now. This will also be the "first step" toward the use of AI in companies.

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