Human Resources (HR) is now an integral part of the business decision-making teams as organisations realise the importance of its employees. Companies that prioritise their workers are more likely to exceed their financial targets. As HR data is used in making data-driven business decisions, it must be error-free and easily searchable for use in HR systems. The HRMS sync process ensures that all types of employee data are accurately available across HRMS systems.  

Clean, Standardised Data - Significance

Business intelligence tools use HR analytics to derive people metrics. The global HR analytics market is expected to grow at a CAGR of 14.3% from 2022 to 2030. HR analytics can improve HR operations and provide numerous business benefits, such as enhancing the employee experience, improving diversity, and providing helpful employee benefits. The HR data must be clean and accurate so that the analytics provide real insights into the workforce. 

• Inaccuracies and inconsistencies in data result in inaccurate decisions
• Invalid data can cause software problems in analytics tools
• Wrong HR data can cause stakeholders to lose their trust
• Scattered data in multiple formats is not portable or interoperable
• HR data inconsistencies can cause inaccuracies in other applications such as payroll, learning management, time & attendance, etc. 
• Rectifying data errors after they cause problems is time-consuming and expensive

Building Resilience With Accurate Data

Automated HR processes using HR analytics transform HR operations globally. Indian companies are looking forward to investing big in HR analytics. Only 11% of Indian organizations are satisfied with their talent analytics. HR analytics with accurate and consistent data can offer the following benefits:

• Avoiding payroll leakage and wrong payments
• Enhancing employee retention with predictive analysis
• Identifying skill gaps and finding the right training programs
• Automating and expediting hiring decisions
• Benchmarking HR data with market data for comparative analysis
• Optimising workforce planning and management
• Measuring and increasing employee performance

Data Cleansing Checklist

Outdated and irrelevant data can taint data insights. Many times, analytic tools struggle with missing data and data gaps. The efficiency of software tools depends on the quality of data. Some of the best practices for maintaining clean HR data are:

• Begin with proper data profiling and documentation to ensure that all data parameters are understood
• Monitor data in real-time regularly with frequent audits and aligning with the latest trends
• Bring data into a centralised storage location to provide a single source of truth
• Define an organisational structure to govern the data workflow
• Cleanse data and ensure data accuracy by identifying and removing data anomalies
• Implement redundant data management to avoid data loss and ensure data integrity

Tartan HRMS Sync: Streamline HR Systems

Organisations investing in HRMS can get true value only with standardised data integration. Tartan helps in streamlining HR operations by providing clean and fast HR data management technology. The APIs can integrate themselves with existing HRMS systems to clean and standardise employee data. Tartan provides data accuracy assurance, which results in clean HR analytics. Accurate reports can be generated using clean data so the management can make critical business decisions based on correct data. 

Conclusion

People analytics is critical for HR processes. Verifying data in real time ensures that the business intelligence tools of the HRMS system work their magic on accurate and consistent data. This will result in better data insights, which will have a meaningful impact on the HR ecosystem of an organisation. Organisations can get the best ROI from their HRMS systems only if they take adequate steps to clean and standardise data first. 

About Tartan

Tartan is a full-stack verification API platform that revolutionises data verification processes. Tartan uses real-time APIs to verify identity, income, and employment to verify and validate employee data. It takes only a few seconds for Tartan APIs to verify data so that HR can ensure that the hiring solution always uses accurate real-time candidate and employee data.