You’re looking to improve HRIS data management. What strategies should you prioritize?

1 Audit your HRIS data regularly

One of the first steps to improve your HRIS data management is to conduct regular audits of your data sources, processes, and outputs. Audits can help you identify and fix any errors, inconsistencies, or gaps in your data, as well as any potential risks or compliance issues. You can use various tools and methods to audit your HRIS data, such as data quality software, data governance frameworks, or data validation techniques. You should also document your audit results and actions, and communicate them to your stakeholders.

2 Integrate your HRIS data with other systems

Another way to improve your HRIS data management is to integrate your data with other systems that you use in your organization, such as payroll, accounting, or performance management systems. Integrating your data can help you eliminate data silos, reduce data duplication, and increase data accuracy and availability. You can use various technologies and standards to integrate your data, such as application programming interfaces (APIs), data warehouses, or data exchange formats. You should also ensure that your data integration is aligned with your business goals and needs.

3 Train your HRIS data users and managers

A third strategy to improve your HRIS data management is to train your data users and managers on how to access, analyze, and apply your data effectively. Training can help you increase your data literacy, awareness, and confidence, as well as your data security and ethics. You can use various formats and channels to train your data users and managers, such as online courses, webinars, or workshops. You should also assess and monitor your data training outcomes and feedback, and update your training content and methods accordingly.

4 Review and update your HRIS data policies and procedures

A fourth strategy to improve your HRIS data management is to review and update your data policies and procedures regularly. Policies and procedures can help you define and communicate your data roles, responsibilities, and rules, as well as your data quality, security, and privacy standards. You can use various tools and templates to create and document your data policies and procedures, such as data dictionaries, data catalogs, or data flow diagrams. You should also consult and involve your data stakeholders and users in your policy and procedure development and review.

5 Leverage your HRIS data insights and opportunities

A fifth strategy to improve your HRIS data management is to leverage your data insights and opportunities to improve your HR processes, decisions, and outcomes. You can use various techniques and tools to analyze and visualize your data, such as descriptive, predictive, or prescriptive analytics, or dashboards, reports, or charts. You should also use your data insights and opportunities to inform and support your HR strategies and actions, such as talent acquisition, retention, or development.

6 Seek feedback and improvement for your HRIS data management

A sixth and final strategy to improve your HRIS data management is to seek feedback and improvement for your data sources, processes, and outputs. Feedback and improvement can help you measure and enhance your data quality, value, and impact, as well as your data user satisfaction and engagement. You can use various methods and channels to collect and analyze feedback and improvement, such as surveys, interviews, or focus groups. You should also implement and communicate your feedback and improvement actions, and track and evaluate their results.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?