SaaS Metrics
Purpose
Financial firms are looking for better ways to harness the power of data analytics to improve their decision quality in the financial modeling era. This study aims to explore key factors influencing big data analytics-driven financial decision quality which has been given scant attention in the relevant literature.
Design/methodology/approach
The authors empirically examined the interrelations between five factors including technology capability, data capability, information quality, data-driven insights and financial decision quality drawing on quantitative data collected from Jordanian financial firms using a cross-sectional questionnaire survey.
Findings
The SmartPLS analysis outcomes revealed that both technology capability and data capability have a positive and direct influence on information quality and data-driven insights without any direct influence on financial decision quality. The findings also point to the importance and influence of information quality and data-driven insights on high-quality financial decisions.
Originality/value
The study for the first time enriches the knowledge and relevant literature by exploring the critical factors affecting big data-driven financial decision quality in the financial modeling context.
Academic Publication Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality
Research Abstract & Technology Focus
Correlated Market Trend: 3d Modeling
Bridging academia to market: The 60-day public search velocity mapping directly to the core technology of this paper. Dashed line represents 7-day moving average.
AI Semantic Synergy Context
Connecting this academic literature to real-world market discussions and products.
Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality
Purpose Financial firms are looking for better ways to harness the power of data analytics to improve their decision quality in the financial modeling era. This study aims to explore key factors in...
Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights
This paper explores the transformative role of predictive analytics in enhancing strategic decision-making and business performance. It delves into the components of predictive analytics, including...
Artificial Intelligence in Financial and Supply Chain Optimization: Predictive Analytics for Business Growth and Market Stability in The USA
This study investigates the application of Artificial Intelligence (AI) and Machine Learning (ML) in optimizing supply chain operations and financial forecasting in the USA. The research examines h...
Big data and predictive analytics: A systematic review of applications
AbstractBig data involves processing vast amounts of data using advanced techniques. Its potential is harnessed for predictive analytics, a sophisticated branch that anticipates unknown future even...
The impacts of Fintech adoption, green finance and competitiveness on banks’ sustainable performance: digital transformation as moderator
Purpose The global emphasis on sustainability is driving organizations to embrace financial technology (Fintech) solutions as a means of enhancing their sustainable performance....
Frequently Asked Questions (FAQ)
Curated market intelligence mapped to this research.
What is the core focus of the research titled 'Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality'?
This literature focuses on: Purpose Financial firms are looking for better ways to harness the power of data analytics to improve their decision quality in the financial modeling era. This study aims to explore key factors influencing big data analytics-driven financial deci...
Are there open-source GitHub repositories related to Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality?
Yes, open-source projects like Mouseww/anything-analyzer (全能协议分析工具：浏览器抓包 + MITM 代理 + 指纹伪装 + AI 分析 + MCP Server 无缝对接 AI Agent/IDE | All-in-one protocol analysis toolkit — built-...) are actively building upon these concepts.
Which startups are commercializing the technology behind Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality?
Products like FreeCAD 1.1 are bringing this to market. Their focus is: Extremely powerful, completely free 3D CAD modeling.
What other academic literature is closely related to 'Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality'?
Yes, highly correlated activity was mapped. An entry titled 'Financial data modeling: an analysis of factors influencing big data analytics-driven financial decision quality' discusses this: Purpose Financial firms are looking for better ways to harness the power of data analytics to improve their decision quality in the financial model...
Cite this Market Intelligence Report
Reference our AI-mapped synergy between this research and the commercial market to instantly build authority.
Commercial Realization
Startups and Open Source tools heavily associated with the concepts explored in this paper.
-
GitHubMouseww/anything-analyzer
-
GitHubyaassin12/DeepSeek-V4-Pro-App
-
Product HuntFreeCAD 1.1
-
Product HuntPerplexity Finance