We offer a comprehensive suite of services aimed at ensuring your ILR data integrity and quality is robust. This includes carrying out a detailed review of your processes and practices relating to ILR data, Agency funding rule compliance, controls testing and self-auditing effectiveness.

This comprehensive health check and feedback report will assure you that your processes comply with funding rules, your internal controls testing is effective, and your funding risks are transparent. Additionally, it will provide you with an action plan and offer further support services if required.  

Data Collection Processes:

• Objective: Ensure data is collected accurately and efficiently.

• Review Points: Sources of data, methods of collection, tools used, frequency, and any potential gaps or redundancies.

Data Submission Processes:

• Objective: Streamline the submission of data to ensure timely and accurate reporting.

• Review Points: Submission protocols, tools and platforms used, data validation steps, and any bottlenecks in the process.

Data Cleansing Processes:

• Objective: Maintain high data quality by identifying and correcting errors.

• Review Points: Techniques for data cleansing, tools used, frequency of cleansing, and common types of errors encountered.

MI (Management Information) and Funding Report Tools:

• Objective: Ensure that reporting tools provide accurate and actionable insights.

• Review Points: Functionality of tools, accuracy of reports, user-friendliness, and integration with other systems.

Data Quality and Compliance Processes:

• Objective: Ensure data meets quality standards and complies with relevant regulations.

• Review Points: Data quality metrics, compliance checks, audit trails, and any issues with data governance.