Document Indexing Services
Outsource Document Indexing Services
Owning just the information is of no use if you can’t find it whenever required. You need to sort it and organize it for future references. While if you index it properly, you can access it anytime from anywhere. Indexing fasten your information retrieval processes thus saving your employee’s average time in finding the data. Indexing the document depends on the type of data as well as it varies from one business to other. We at Shri data entry services help you out in this indexing. Our indexing process comprises of various documents categorization and classifying the data as per appropriate indexes. This will help you out in referring or recovering the data in near future. When you outsource document indexing services to us, we ensure your information’s security to the highest extent. Our indexing services are quite user-friendly as we offer multiple options for searching and cross-references.
Ways We Carry Our Indexing Services
There are four types of ways to index your document as mentioned below:
- Bitmap index: Bitmap indexing is a database that uses bitmaps and is used for bulk data storage.
- Sparse index: Sparse index has pointers for all blocks in a file which requires less space and imposes less maintenance for insertion and deletion.
- Dense index: Dense index pairs keys in a file thus making any search faster and easy to access.
- Reverse index: Reverse index is a version b-tree index, which is used in invoice processing services in any organization.
Our Document Indexing Services
We offer various sorts of services as mentioned below:
- Document Storage
- Data Archival
- Document Retrieval
- Document Categorization
- OCR Document Indexing
- Text Indexing
- Legal Document Indexing
- Catalogue Indexing
- Data Backup & Duplication
- Meta data Indexing
- Keyword Indexing
- Invoice Indexing
- Document Shredding & Recycling
We deliver both illustrated and tabular indexes as per your business requirement. So, why not try us and get you data organized and indexed well.