Solution:This is the correct sequence of stages in the Data Analytics process.A. Collect data into a database and ascertain validity: The process begins with the collection of relevant data from various sources and validating its accuracy, completeness, and consistency.
C. Mар сategories to identify correlations and trends that are useful to measure: After validation, data is categorized and analyzed to detect patterns, trends, or correlations relevant to the business context.
B. Map the identified impact factors affecting the organisation: Based on the insights, the next step is to identify key factors influencing the organization's performance or outcomes.
D. Formulating the algorithm that analyzes the various factors: With the factors identified, algorithms or models are designed to quantify the relationships and make predictions.
E. Validate the predictions using statistical tools or other methodologies for utility: Finally, the model's predictions are validated using statistical techniques like regression analysis, hypothesis testing, etc., to ensure their reliability and usefulness.