Data Entry Outsourcing
What is Data Entry?
A broad definition of data entry is processing information from its original format and putting it into a database, spreadsheet or other form.
More generally, the term data processing can apply to any process that converts data from one format to another, although data conversion would be the more logical and correct term. From this perspective, data processing becomes the process of converting information into data and also the converting of data back into information. The distinction is that conversion doesn't require a question (query) to be answered. For example, information in the form of a string of characters forming a sentence in English is converted or encoded meaningless hardware-oriented data to evermore-meaningful information as the processing proceeds toward the human being.
What are the different forms of data entry?
Product catalog to web data entry:
Transforming printed catalogs into online catalogs. Converting all the relevant data and digitize all the images and upload to your desired location. Online cataloguing makes it easy to search for products and updating is also made easier.
PDF document indexing
Lot of data is lost because of the unavailability of readers of old format data, specially microfilms and its variants. Converting document, microfilm, microfiche or image format data into PDF documents. Conversions like this require a lot of attention to details.
There are many image formats that can be changed into PDF including.
- PAPER to PDF
- TIFF to PDF
- MICROFICHE to PDF
- MICROFILM to PDF
- GIF to PDF
Online data capture
Collecting data from online sources and then converting it accordingly to one's specifications. This include:
- Gathering data from different websites and entering it into an excel spreadsheet.
- Searching the web and creating all the lists of targeted websites.
- Gathering precise and updated information about competitors’ pricing.
- Other Customize requirements related to above.
A data warehouse is a repository of an organization's electronically stored data. Data warehouses are designed to facilitate reporting and analysis.
However, the means to retrieve and analyze data, to extract, transform and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.
It is the process of sorting through large amounts of data and picking out relevant information. It is usually used by business intelligence organizations, and financial analysts, but is increasingly being used in the sciences to extract information from the enormous data sets generated by modern experimental and observational methods. It has been described as "the nontrivial extraction of implicit, previously unknown, and potentially useful information from data" and "the science of extracting useful information from large data sets or databases." Data mining in relation to enterprise resource planning is the statistical and logical analysis of large sets of transaction data, looking for patterns that can aid decision making.
It is the act of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant etc. parts of the data and then replacing, modifying or deleting this dirty data.