HR Analytics and Financial Forecasting: Building Data-Driven Workforce Budgets

Clicks: 107
ID: 283701
2025
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment 🥈 High Quality
79.8 /100
Academic Rigor 78.0%
Novelty 70.0%
Clarity 85.0%
Key Strengths
  • Addresses a relevant and timely topic.
  • Highlights the importance of HR analytics in financial forecasting.
  • Provides practical insights for building data-driven workforce budgets.
Areas for Improvement
  • Limited methodological detail in the abstract.
  • Single author perspective may limit the scope of the analysis.
  • Lack of specific examples or case studies in the abstract.
AI Recommendations

The paper should include a detailed explanation of the methodologies used, including specific analytical techniques and data sources. Providing real-world case studies or examples would enhance the practical impact of the research. Further exploration of the ethical considerations of using HR analytics would also be beneficial.

Enhanced v2.0 Analysis NISO/DORA Compliant
NISO/DORA Compliant
Research Integrity
Trending Topic
High Impact
🔥 Hot Topic
Topic Trend
2025 Relevance
Relevance
90%
Importance
87%
Authorship
Solo
Authors
1
Diversity
60%
Research Integrity
COPE Standards
Integrity
80%
Innovation
72%
Interdisciplinary Value
🔀 Cross-disciplinary
75%
Practical Impact Potential
Real-world Applications
85%
Enhanced Evaluation v2.0: Following NISO RP-25-2016, DORA 2025, and COPE assessment standards with 13 quality dimensions.
Readership in this journal
Star

Ranked #2 of 70 articles by views in International Journal of Integrated Research and Practice

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
In the environment that continuously pushes organisations to optimix their resources and financial viability, HR analytical service will fit in to the short term strategy outcome forecasting. The paper examines the role of HR analytics in building data-driven workforce budgets which combine talent management and organisational-financial objectives. Traditional budgeting is a fixed cost of the workforce and fails to provide the dynamic impact of employee performance, staff turnover, recruitment effort or skill contribution on long-term financial performance. The HR analytics is currently able to provide a more reliable and adaptable base on which financial planning can be based by utilizing predictive models and personnel measures, including attrition trends, productivity measures and pay scales. The article explores methods of combining descriptive, predictive and prescriptive analytics so as to transform workforce information into actionable financial intelligence. In it, there are case-based scenarios where demand planning, scenario modeling and headcount optimization technology of the HR are integrated into the budgeting process to allow more cost allocation and reward of human capital. Besides this, the research examines the benefits of having the HR and the finance personnel in close collaboration to generate transparent and fact-based budgets that suit the requirements of organisational agility and employee engagement. The knowledge, and provide an active market change and human capital challenges are being connected to the around HR analytics and financial forecasting, which will equally provide a better planning, but offer. Closing the divide between individuals-data and financial strategy would allow organizations to achieve a sustainable compromise between workforce planning and financial performance. The current work contributes to the growing body of research regarding data-based decision making and offers implications to the HR professionals, financial planners, and business executives who want to enhance the organizational resilience by planning the workforce budgets smarter.
Reference Key
khedkar2025analytics Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Dr. Ashutosh Eknath Khedkar
Journal International Journal of Integrated Research and Practice
Year 2025
DOI
10.25215/ayb8e191
URL
https://ijirp.org/index.php/files/article/view/66
Keywords
HR Analytics Financial Forecasting Workforce Budgeting Predictive Modeling Data-Driven Decision Making Talent Management Headcount Optimization Scenario Planning

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.