What is a Numeric Database?
- Content Type:
- Glossary
Numeric database Definition
Database containing original survey data on a wide variety of topics.
A numeric database in market research is a structured collection of quantitative data stored in numerical format. This type of database includes data points like sales figures, demographic statistics, customer ratings and survey responses, which can be analyzed statistically to generate insights about markets, trends and customer behaviors.
Who relies on numeric databases?
Market researchers, data analysts, business strategists and financial analysts rely on numeric databases to analyze trends, measure performance and gain insights into consumer behaviors. Organizations across industries, including retail, finance and marketing, use these databases to support decision-making and strategic planning.
What are key aspects of numeric databases in market research?
Key aspects include:
- Quantitative data: Stores numerical data that can be measured, analyzed and statistically tested.
- Structured format: Organized in rows and columns, allowing for easy data retrieval and manipulation.
- Statistical analysis: Enables advanced analytics, including correlation, regression and trend analysis.
- Data accuracy: Requires high data quality and accuracy for reliable insights.
- Integration: Often integrated with data analysis software for efficient reporting and visualization.
Why are numeric databases important in market research?
Numeric databases are important because they provide a foundation for quantitative analysis, enabling researchers to derive meaningful insights from large datasets. They support trend identification, performance measurement and hypothesis testing, all of which are crucial for data-driven decision-making. Numeric databases help researchers analyze market conditions, assess customer behavior and track key metrics over time.
How do market researchers use numeric databases?
Market researchers use numeric databases to store and analyze survey results, sales data and customer metrics. They employ statistical methods to interpret the data, identify patterns and generate reports. Numeric databases allow researchers to conduct predictive analyses, track performance indicators and compare data across different time periods or market segments, ultimately guiding strategy development and improving marketing effectiveness.