Data Processing
Data in its raw form is not useful to any organization. Data processing is the method of collecting raw data and translating it into usable information. It is usually performed in a step-by-step process by a team of data scientists and data engineers in an organization. The raw data is collected, filtered, sorted, processed, analyzed, stored, and then presented in a readable format. important for data processing to be done correctly as not to negatively affect the end product, or data output.This holds a great advantage for many organizations, as it allows for a more effective method for retrieving information, while also safeguarding the data from loss or damage.
Data Entry
Data entry is one of the most common back-office tasks where growing businesses need help the most. We help streamline client data entry tasks with our meticulous focus on detailed and efficient processes.
Data Cleansing
Each organization relies on accurate and relevant data. Clean data leads to better marketing, accurate performance analytics and, ultimately, elevated company performance.
Data Collection
Data collection is the process of collecting and measuring the large potential of information based on unique variables using an established and reliable methodological approach.
PDF Data Entry
Portable Document Format is a goto file format for sharing and exchanging business data. While you can easily view, save, and print files, editing, scraping / parsing, or extracting data from PDF files.
Form Processing
Form processing is a term used to describe the conversion of hard data into the electronic form. Form processing usually involves an imaging method that converts a printed form into the electronic format, and then extracts handwritten data from it using a highly sensitive Bot or method.