2024
Data Management
ISprint is part of a research organization with extensive experience in data collection and management. With a deep understanding of all stages of the data lifecycle, ISprint excels at identifying and addressing challenges encountered during data collection processes, ensuring seamless operations from start to finish.
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Marco S Pentaclay
Data Collection
Customized Tools
The data lifecycle begins with field-based data collection, which is a critical phase involving customized tools and platforms to ensure accurate and efficient data capture. ISprint develops tailor-made tools using native technologies and deploys them for field teams to collect data effectively.
Off-the-Shelf Tools
In addition to customized tools, ISprint also utilizes established platforms like Kobo Toolbox, Survey Monkey, and Survey Sparrow for efficient data collection. The team is proficient in creating both simple and complex survey questionnaires, including dynamic forms that link data seamlessly across forms for improved consistency and usability.
Data Processing and Advanced Data Tasks
Data Cleaning
Once data is collected, ISprint ensures high-quality outputs through processes like Data Cleaning, which involves removing inconsistencies, errors, and irrelevant entries to prepare the data for analysis.
Comprehensive Data Analysis Capabilities
Descriptive and Inferential Analysis
ISprint has delivered descriptive and high-level data analysis for over 50 projects using Python, R, Stata, SPSS, and Power BI. This includes Descriptive Analysis, summarizing key features of datasets, and Inferential Analysis, drawing conclusions from a sample using statistical tests.
