Clean Data, Strong Reporting, Better Decisions
Clear, reliable HR and organizational data form the foundation for well-informed decisions. However, inconsistent structures, varying reporting requirements, and manual processes hinder data quality. With the right solution, you can optimize your data foundation, automate reporting, and gain valuable insights – efficiently and error-free.
A reliable data foundation is essential for accurate reporting and meaningful dashboards. In large, internationally operating companies with complex structures, maintaining HR and organizational data presents a significant challenge.
Different legal requirements, inconsistent data structures, and varying update cycles lead to high manual effort and increased coordination needs. The result? Decision-makers do not receive relevant information regularly and in a timely manner.
High data quality is the foundation for well-informed decisions and efficient processes. It depends on several factors that ensure your HR and organizational data is reliable, accurate, and meaningful. An overview of the five key dimensions:
More about this topic
Faulty Data, Fragile Foundation
In this blog post, we examine how incorrect HR data can lead to serious problems and what measures you should take to minimize the risks.
The result?
Inefficient processes, inaccurate analyses, and flawed strategic decisions!
With the browser-based Data Quality Screening module from Ingentis org.manager, HR managers can identify errors or gaps in the HR data landscape at a glance. On this basis, you can systematically improve data quality and integrity with targeted measures throughout the entire organization.
Those responsible for HR and organizational matters can thus conduct more reliable analyses and make better-informed decisions.
Data Quality Self Assessment
How is the quality of HR data in your organization?
A solid reporting foundation relies on accurate HR data. With our Data Quality Self-Assessment, you can find out how your HR data measures up – and receive initial recommendations for action if there is room for improvement.
FAQ
The visual representation of data errors makes it possible to quickly identify and resolve issues.
Through interactive dashboards and graphical markers, faulty structures or incomplete data sets become immediately visible. This not only simplifies error detection but also supports well-informed decision-making.
The Ingentis org.manager “Data Quality Screening” extension enables continuous monitoring of data quality. Instead of checking data at fixed intervals, the system performs an ongoing analysis, detecting errors in real time. This allows companies to identify and correct issues early, ensuring a consistently high standard of data quality.
SAP, Oracle, Workday, ADP – the Ingentis org.manager platform seamlessly connects to all leading HR systems. In addition, this innovative software solution effortlessly integrates a wide range of other data sources. Whether databases, directory services, or simple Microsoft Excel and CSV files – our platform ensures the seamless integration of your HR and organizational data.
With Ingentis org.manager’s “Data Quality Screening”, a variety of data quality issues can be detected, including:
Beyond these predefined validations, companies can set custom rules and criteria to meet their specific data quality requirements — enabling flexible and tailored data validation.
Clear and reliable HR data is the foundation for strategic decisions, successful AI strategies, and efficient processes. But how can data quality be improved sustainably, and which best practices have proven effective? Discover the key success factors, practical solutions, and current trends in HR data quality through our blog articles, success stories, and webinars.
Self-Assessment of Your Data Quality:
Request a Free Demo Now!
Unlock the full potential of your HR and organizational data! With the extension Data Quality Screening by Ingentis org.manager you can identify and resolve data issues in real time. See it in action – request your free demo today!
