Survey Analytics Reporting
- Created By raju2006
- Last Updated December 26th, 2023
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
This course is designed to help understand best practices for survey results analysis and reporting – dealing with missing values, making estimates, combining data from different sources, and selecting the right reporting method to share insights gained through surveys.
Long Description:
"Enhance your survey analysis and reporting skills with our 'Survey Analytics Reporting' course. Delve into the best practices for handling missing values, making estimates, and blending data from various sources to present valuable insights gathered from surveys. By the course's conclusion, you'll be well-versed in utilizing established statistical methods to transform survey responses into actionable marketing decision support. Explore techniques such as factor analytics, cluster analysis, discriminant analysis, and multi-dimensional scaling. Elevate your survey analysis and reporting capabilities and unlock the potential of data-driven marketing."
Course Code/Duration:
BDT60 / 1 Day
Learning Objectives:
After this course, you will be able to:
- Assess and improve data quality.
- Effectively handle missing data in your analyses.
- Understand and implement cluster sampling techniques.
- Visualize survey data for better insights.
- Apply basic statistical concepts, including sample mean and covariance, to your data analysis tasks.
- Basic knowledge of Microsoft PowerPoint and Microsoft Excel.
- Business User
- Business User
Course Outline:
Building a strong hypothesis
- Why hypothesis?
- Visioning the final stories in the beginning
Framework of Survey Results Analysis
- What a successful data collection looks like?
- Questions to ask before analyzing
- Quantifying potential error (metrics to test collected data)
- Describing the quality of data sources
- Predicting common pitfalls
Quantitative Research
- Statistical models for data-driven decisions
- Predicting “most-likely” outcomes
Sharing insights
- The 6 Ws
- Static vs. Interactive
- How to present results from open-ended questions
- How to present results from close-ended questions
- When to sharing raw data
- Sharing next steps and closing the loop
Best practices library
- Statistical relevance – Survey data
- Survey data visualization
Training material provided:
Yes (Digital format)
