How much’, ‘How many’, ‘What percentage

1. Cross-Tabulation
This method utilizes a basic tabular format to draw inferences between the collected data. It involves gathering multiple variables and understanding the correlation between them. This method is also known as contingency table or cross tabs and is apt for extracting relevant information from large data sets
2. MaxDiff Analysis
MaxDiff analysis, also called the ‘best-worst’ method, aims to gauge the preferences of the respondents. So whether you need to know which purchase was more fulfilling for the customer or what parameters the customer ranks more, this method is excellent to adopt in such a scenario.
3. TURF Analysis
TURF, an acronym for Total Unduplicated Reach and Frequency Analysis, aims to determine the market strategy for a business. It involves analyzing which platform offers the maximum reach so that you can direct your team efforts in the right direction
4. Gap Analysis
A gap analysis simply aims to identify gaps in attaining the desired results. It helps identify gaps and bottlenecks, paving the way for improved data and ultimately, better business performance.
5. SWOT Analysis
A SWOT analysis helps upi identify the various strengths, weaknesses, opportunities, and threats of a product, service, or organization. It helps you visualize the bigger picture and identify which areas need improvement and which areas can be leveraged to improve overall performance.
6. Text Analysis
Text analysis is apt for transforming and making sense of unstructured data. This process helps you extract valuable information from a large dataset, easing data collection and improving decision making.