Back office data processing involves a wide range of administrative and support functions. In general, back office processing is a critical, non-core business function that requires intensive man-hours.
The increasing amount of data being processed daily pressures employees to meet higher quotas. It becomes challenging to deliver high quality through series of steps that vary in degree of complexity.
Many businesses choose to outsource their back office data processing due to its labor-intensive, business agnostic nature that will undoubtedly consume a significant amount of your time to focus on core business functions.
Back office processes to outsource
Here are some tasks that are best delegated to a trusted offshore service provider:
- Image data entry. There are businesses that steadily deal with an extensive volume of images on a regular basis. This includes image processing, sorting, conversion, indexing, merging, editing, and data capture.
- Manual data entry. There remains to be a robust amount of non-automated data that needs to be processed. This is a laborious task that usually involves manually converting printed, unstructured, and handwritten data into digital format. It also involves data entry into software, such as CRM or CMS applications.
- Product data entry (eCommerce). This includes tasks like product descriptions, product specifications, category descriptions, product categorizations, price tagging, and online catalog data entry.
- Sales invoice and purchase order data entry. This task demands accuracy and a substantial infrastructure setup. It involves processing data entry from purchase orders, CMS updates, credit and debit memos, document management, and business application software.
- Document formatting. Many companies, not just in publishing, continue to handle bulk documentation that requires being formatted on a regular basis. This includes technical guides, manuals, and reports for circulation. Other document formatting tasks are bookmark and hyperlink placements, header and footer insertion, caption numbering and labeling, and table of contents creation.
- Form processing. Transferring data collected in various types of forms into an electronic system.
- Data conversion and cleansing. The scope for conversion includes HTML, XML, eBook, document, PDF, and more. Cleansing involves routine database maintenance, which includes removing duplicate and invalid records, updating variables that have missing details, correcting values, and interlinking multiple data sources.