Opendatabay APP

Small Business Finance Trends

Finance & Banking Analytics

Tags and Keywords

Business

Finance

Sme

Decisions

Analysis

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Small Business Finance Trends Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

This dataset offers an in-depth view into the financial decision-making processes within Small and Medium-Sized Enterprises (SMEs) for the year 2023. It provides valuable insights into diverse aspects of SME financial considerations, including their established year, type, sector, size, and various financial factors. The data is structured to highlight key metrics such as financial questions, risk assessment, management decision-making, financial decision-making, and financial analysis, forming a robust foundation for analysing SME financial behaviours.

Columns

  • FQ1: Financial question 1, indicating a specific aspect of financial decision-making. (450 valid entries)
  • Established_year: The year the SME was established. (450 valid entries)
  • Type_SME: The category or classification of the SME. (450 valid entries)
  • Sector: The industry sector in which the SME operates. (450 valid entries)
  • SME_Size: The size category of the SME. (450 valid entries)
  • FL1, FL2, FL3, FL4: Financial factors related to liquidity management. (All 450 valid entries)
  • FR1, FR2, FR3, FR4: Financial factors related to risk management. (All 450 valid entries)
  • RA1, RA2, RA3, RA4: Risk assessment factors. (All 450 valid entries)
  • MDA1, MDA2, MDA3, MDA4: Management decision-making factors. (All 450 valid entries)
  • FDM1, FDM2, FDM3, FDM4: Financial decision-making factors. (All 450 valid entries)
  • FA1, FA2, FA3, FA4: Financial analysis factors. (All 450 valid entries)

Distribution

The dataset is provided as a CSV file, named sme_financial_decision.csv, with a size of 27.6 kB. It contains 29 columns and consistently has 450 records across most fields, indicating a consistent structure with no missing values for the primary columns.

Usage

This dataset is ideal for:
  • Financial Decision-Making Research: Supporting academic studies and research aiming to understand SME financial behaviours.
  • Business and Management Analysis: Providing detailed data for business and management analyses of SME financial patterns.
  • Policy Development: Informing policymakers in the creation and adjustment of financial policies based on observed SME trends.
  • Strategic Planning: Offering insights into SME financial patterns to aid strategic planning for both businesses and policymakers.
  • Benchmarking: Enabling SMEs to compare their financial decision-making processes against industry standards and competitors.

Coverage

The dataset focuses on Small and Medium-Sized Enterprises (SMEs) and covers financial decision-making data for the year 2023. It includes specific details such as the established year of the SME, its type, the sector it operates in, and its size, allowing for varied demographic analysis.

License

CC0: Public Domain

Who Can Use It

This dataset is intended for a broad range of users, including:
  • Researchers and academics focused on finance, economics, and business studies.
  • Business and management consultants performing detailed analyses.
  • Policymakers involved in economic and financial legislation.
  • SME owners and managers for internal strategic planning and benchmarking purposes.

Dataset Name Suggestions

  • SME Financial Decisions 2023
  • Enterprise Financial Insights
  • Small Business Finance Trends
  • Management Financial Practices
  • Financial Analysis of SMEs

Attributes

Original Data Source: Small Business Finance Trends

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

08/08/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free

Download Dataset in CSV Format