How can you maintain employee records and data quality across platforms?

1 Choose compatible platforms

One of the first steps to maintain employee records and data quality across platforms is to choose compatible platforms that can integrate with each other and share data seamlessly. This will reduce the need for manual data entry, duplication, and inconsistency. Look for platforms that offer application programming interfaces (APIs), webhooks, or other methods of data exchange. You can also use a data integration platform (DIP) to connect different platforms and automate data flows.

2 Establish data standards and policies

Another step to maintain employee records and data quality across platforms is to establish data standards and policies that define what data to collect, how to format, store, update, and delete it, and who can access and modify it. Data standards and policies will help you ensure data accuracy, completeness, validity, and security. You should also document and communicate these standards and policies to all stakeholders and train them on how to follow them.

3 Validate and verify data regularly

A third step to maintain employee records and data quality across platforms is to validate and verify data regularly. Validation means checking that the data meets the predefined criteria and rules, such as data type, length, range, format, and uniqueness. Verification means checking that the data matches the source or the reality, such as by cross-referencing, auditing, or surveying. You can use tools and techniques such as data quality dashboards, reports, alerts, or feedback mechanisms to monitor and measure data quality.

4 Clean and enrich data periodically

A fourth step to maintain employee records and data quality across platforms is to clean and enrich data periodically. Cleaning means removing or correcting inaccurate, incomplete, invalid, or outdated data, such as by deleting, merging, or updating records. Enriching means adding or improving relevant, useful, or valuable data, such as by appending, linking, or enriching records. You can use tools and techniques such as data cleansing software, data matching software, or data enrichment services to perform these tasks.

5 Review and improve data processes continuously

A fifth step to maintain employee records and data quality across platforms is to review and improve data processes continuously. Review means evaluating the effectiveness and efficiency of the data processes, such as by analyzing the data quality metrics, feedback, or issues. Improve means identifying and implementing opportunities for enhancement or innovation, such as by adopting best practices, new technologies, or process improvements. You can use tools and techniques such as data quality audits, reviews, or assessments to conduct these activities.

6 Collaborate and communicate with stakeholders frequently

A sixth step to maintain employee records and data quality across platforms is to collaborate and communicate with stakeholders frequently. Stakeholders are the people who are involved in or affected by the data processes, such as employees, managers, IT staff, vendors, or regulators. Collaboration means working together to achieve common goals and resolve issues, such as by sharing data, information, or feedback. Communication means keeping stakeholders informed and engaged, such as by providing updates, reports, or notifications.

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?