We believe in empowering our clients with useful information to make informed decision at all times. Data processing is transformation of data from its raw form to meaningful information Our team of data specialists and experts bring decades of experience in gathering, managing, processing, and analysing a plethora of data using the most sophisticated and up to date software.
Cross tabulationCross tabulations are data tables showing the results of the groups and sub-groups of survey respondents while such representation of data as rows and columns in a table provides a clear picture and understanding of the multiple responses collected making prominent the necessary information.
Verbatim analysisWe perform verbatim analysis to interpret the responses from open-ended questions in a survey by coding them into themes and use as variables for advanced analysis.
Hypothesis testingHypothesis Testing is a statistical method used to test if a statement regarding a population parameter is statistically significant or true. We test different theories and possibilities, and the effects they produce on your business so that you can make better decisions about which opportunity to tap. We help in producing hypothesis testing results making it easier to apply them to your business decisions and development.
Sample WeightingWhen conducting a survey, it is necessary to get unbiased and accurate results by having a representative sample of the population but it is possible to over-sample some type of people and under-sample others. Sample weighting refers to statistical adjustments of survey data. We use sample weighting to ensure the sample is representative of the population of interest so that the research objective is attained.
Descriptive analysisWe aim for data enrichment by detection and elimination of data typos and errors and provide deep expertise in discovering the association of different variables.
Outlier detectionWe help in the detection and removal of data that do not match with the rest of the dataset thereby maintaining the accuracy and reliability of the results.
Data cleansingWe help in preparing data for analysis by removing or changing data that is incorrect, irrelevant, duplicated, or improperly input. Our procedures of data cleansing include fixing grammatical and syntax errors, standardizing datasets and rectifying mistakes such as empty fields, missing codes, and identifying redundant data points to easily access and find the correct data for each query.
Data preparation is often a lengthy undertaking which is where we come in as it is essential for your decision-making process. It is a prerequisite to put data in context to turn it into insights. We leverage various industry-standard tools such as SPSS, SAS, Python, R, Tableau, Win Cross, and SQL for high-quality processing and analysis of data. We hold strong capabilities to manage input files in various formats such as CSV files, Excel, Word, SAS, SPSS, Web pages, and XML.