Managing data is an integral part of the research process. Data Management is very important to organize data, backup data, and Preserve data for future re-use. Data management should comply with rules and protocols as per specific research requirement and funder requirements.
Different types of Surveys/studies like Baseline Survey, Midterm / End line Survey, Longitudinal Surveys, Large-scale Surveys, Monitoring Study, Evaluation Study, Mapping Study, Needs Assessment, Communication needs Assessment Study, Communication Strategy Development Study, Rapid Appraisal, Concurrent Evaluation, Qualitative Studies, Policy Research depends heavily on the quality of data and its proper management.
Data Management Story-Rohitah
We have a special team dedicated to Health, Education and Agriculture related data entry services, who are equipped to work on large volumes of data. Accuracy is a key factor for data entry which is well organized by our data entry supervisors, operators, and data analysts.
We offer data entry services for all kinds and formats like Single / Double Data Entry, Onsite/Offsite Data Entry, Online Web Based Data Entry, Qualitative/Quantitative Data Entry, Data Entry using Cspro Packages, Data Entry through Excel, Direct Data Entry in SPSS, Epi Info/Access based Data Entry, Voice to Text Data Entry for Qualitative Surveys, Scanning of survey document and etc..
Rohitah International offers you high-quality data entry and data management services which are time-bound and cost-effective. Our use of latest technology helps us to enter accurate data and provide you with the best data entry services in the research industry.
Our one of the major strength is workig with the NGOs Education & Literacy , Drinking Water, Children, Food Processing, Nutrition , Rural/Urben Development & Poverty Alleviation,Women's Development & Empowerment, Differently Abled , HIV/AIDS, Water Resources, Tribal Affairs , Youth Affairs, Microfinance, Information & Communication Technology, Agriculture and many other public health related domain.
