This entails the management of the total operational life cycle of a project from data collection to data output delivery.
This refers to data being captured onto a platform or software depending on specifications. Data Validation is then carried out to ensure all captured data conforms to the specifications of project.
This refers to a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.
Data mining is a process used to turn raw data into useful information. By using software to look for patterns in large batches of data. Businesses can learn more about their customers to develop more effective marketing strategies, increase sales and decrease costs.
A descriptive statistic is a summary statistic that quantitatively describes or summarizes features from a collection of information, while descriptive statistics is the process of using and analysing those statistics.
Tabulation is a systematic & logical presentation of numeric data in rows and columns to facilitate comparison and statistical analysis. It facilitates comparison by bringing related information close to each other and helps in further statistical analysis and interpretation.
This refers to converting data to different formats and outputs as per client specifications .e.g. SPSS to ASCII and vice versa. Also re-arranging data sets to other client specifications.
Data collection is the process of gathering quantitative and qualitative information on specific variables with the aim of evaluating outcomes or gleaning actionable insights. Good data collection requires a clear process to ensure the data you collect is clean, consistent, and reliable.