Our Data Entry software development services span across web software, cloud software, desktop software, mobile apps software and CAPI Software applications. Our expertise includes a development of software packages in Cspro, SPSS, Excel, Epi Info etc. When you outsource your Data Entry requirements to us, you get an experienced team to work on your projects.
We have built software for various projects on a variety of platforms. NGOs having specialized focus on Health & Family Welfare, Education & Literacy, Drinking Water, Children, Food Processing, Nutrition, Rural Development & Poverty Alleviation, Urban Development & Poverty Alleviation, Women's Development & Empowerment, Differently Abled , HIV/AIDS, Water Resources, Tribal Affairs, Youth Affairs, Microfinance, Information & Communication Technology, Agriculture and much other public health related domain requires specific data entry packages depending on type of study/survey.
Different types of Surveys/studies requires specific features in the data entry packages like the requirement of Baseline survey, Midterm / End line survey may be different than the requirement in longitudinal surveys or large scale surveys. Depending on the requirement of the project specific plate form is used at Rohitah to build the data entry package.
Data entry software developed in Cspro collects data for surveys created by the free Census and Survey Processing System (CSPro) suite of data processing tools. We also develop the software for computer-assisted personal interviewing (CAPI) on Android phones and tablets. The key feature of developing the data entry software in cspro are: easy to use graphical user interface for survey data collection, Collect data without a glitch on both Android and Windows platforms for census and survey questionnaire, Automatically synchronize questionnaires and data using Dropbox or FTP for online data entry and backup, Export data to Excel, SPSS and other formats as per need, Implement complex logic and Skip patterns, Robust error and consistency checking, development of FCT, frequency tables and Cross tabulation using logics and Multiple language support.
Epi is free and open source software for epidemiologic statistics. Epi Info widely used public domain program for simple or programmed data entry and data documentation. The tools developed in Epi info are used for rapid questionnaire design, data entry and validation, data analysis including mapping and graphing, and a creation of reports. Some features of it are double entry verification, a list of ID numbers in several files, codebook overview of data, date added to backup and encryption procedures. Epi provides evaluation statistics for counts and measurements in descriptive and analytic studies, stratified analysis with exact confidence limits, sample size and power calculations etc.
Microsoft excel is a powerful tool that is widely used to analyze and organize data in a systemic manner. With Excel’s simple built-in data entry tools we can improve both speed and accuracy and then use it for further insight and analysis of data.
Work with loads of data using Microsoft Excel provides various opportunities in regards to data management. The latest versions of excel has an improved user interface that allows organizing information in a more systematic manner, Formulas, tables, filters, macros, linking from other sheets and many more features makes it suitable for direct data entry in Excel.
Microsoft Access is the efficient database software that enables users to handle large volumes of data. It has various features and components that make it very simple to use and highly beneficial for data entry work. Some of the key benefits of making use of MS Access are user-friendly, highly efficient and easy integration with other software packages. It very simple for just about any individual to learn working with Access based data entry package and at the same time it can integrate large volumes of data directly into the database.
The other features like centralized access , user based restriction on certain portion of database, avoiding redundancy and inconsistency, automated backup and recovery, can easily be incorporated into the packages developed using access.r computer-assisted personal interviewing (CAPI) on Android phones and tablets. The key feature of developing the data entry software in cspro are: easy to use graphical user interface for survey data collection, Collect data without a glitch on both Android and Windows platforms for census and survey questionnaire, Automatically synchronize questionnaires and data using Dropbox or FTP for online data entry and backup, Export data to Excel, SPSS and other formats as per need, Implement complex logic and Skip patterns, Robust error and consistency checking, development of FCT, frequency tables and Cross tabulation using logics and Multiple language support.
Cloud-based online data entry software has a few obvious advantages in that it’s accessible everywhere and there’s no software to install so it is now a day’s more preferable platform used by maximum survey and research agencies.
Since cloud based software depends heavily on the availability of internet so we develop the software package in such a way that it won’t hamper the complete working of the project and part of the project work which can be covered in batch processing mode which require no internet. Such provisions also helps in faster data entry in online as well in off line mode. It seems that such solutions are costly but in long run these solutions are cost effective not only in terms of money but also in terms of time and accessibility by all team members from round the globe.
SPSS is the great platform for analysis the data so direct data entry in SPSS is cost effective and quite accurate. It can help organizations quickly and securely gather the information they need. Using SPSS, data management is quite straight forward. SPSS is designed to make certain that the output is kept separate from data itself. Data is stored in a spreadsheet-like table similar to that of Microsoft Excel and output file is separate.
Since the SPSS data entry program knows the location of cases( a row) and variables(a column) , it is very easy to use this interlinking for further in-depth analysis which include various statistical methods for cleansing the data, generation of frequency tables, cross tabulations , graphs, charts and applying various statistical tests.