Staffing data is critical for organizations to make informed decisions about their workforce. Effective staffing data can help organizations optimize their hiring process, manage their workforce, and improve overall productivity. However, many organizations struggle with collecting, analyzing, and utilizing staffing data. In this blog, we’ll explore some of the ways to improve staffing data, backed by facts and figures.
5 Staffing and Workforce Analytics Items to Embrace
1. Standardize Data Collection:
The first step in improving staffing data is to standardize data collection. Organizations should have a uniform process for collecting data, including job descriptions, performance metrics, and employee demographics. Standardization ensures consistency and accuracy in data collection, which is essential for making informed decisions.
According to a study by Deloitte, standardization in data collection results in a 60% improvement in data quality. This highlights the importance of having a consistent approach to data collection.
2. Automate Data Collection:
Manual data collection can be time-consuming and prone to errors. Organizations can improve staffing data by automating data collection through HR software. This software can capture data from various sources, including job postings, resumes, and performance evaluations, and store it in a centralized database.
According to a survey by Aberdeen Group, organizations that automated their data collection saw a 50% improvement in data accuracy and a 25% reduction in data collection time.
3. Analyze Data in Real-Time:
Organizations should analyze staffing data in real-time to make informed decisions quickly. Real-time data analysis provides organizations with up-to-date information on hiring trends, employee performance, and workforce demographics.
According to a study by McKinsey, organizations that use real-time data analysis saw a 10-20% increase in productivity and a 30-50% reduction in workforce costs.
4. Use Predictive Analytics:
Predictive analytics can help organizations anticipate future workforce needs, identify skill gaps, and improve workforce planning. By analyzing historical staffing data and current trends, organizations can make informed decisions about their future workforce needs.
According to a survey by PwC, 72% of organizations that used predictive analytics in their staffing process reported a significant improvement in workforce planning.
5. Keep Data Secure:
Finally, organizations must keep staffing data secure. The data collected about employees, including personal information, performance metrics, and salary data, must be protected from unauthorized access.
According to a survey by Accenture, 43% of organizations experienced a data breach in the past two years, highlighting the importance of data security.
In conclusion, effective staffing data is essential for organizations to make informed decisions about their workforce. Standardizing data collection, automating data collection, analyzing data in real-time, using predictive analytics, and keeping data secure are critical steps in improving staffing data. By implementing these strategies, organizations can optimize their hiring process, manage their workforce, and improve overall productivity.
Want Better Staffing Data at Your Fingertips?
At Enterforce, we consult with our clients and potential clients to help them identify areas of improvement including areas of maverick spend or hiring practices that aren’t aligned with the company’s goals. With our workforce and MSP solutions, we are able to bring our clients increased visibility into their hiring practices and analytics and help them standardize their workforce systems through rigorous training and standardization. Contact us today to learn more about any of the strategies and solutions above.
