Training Course Syllabus:
Advanced Auditing Strategies to Detect and Mitigate Data Integrity Risks
Objectives of the PresentationEstablishing a Baseline
Applying consistent meta tags to all documents
Applying consistent policies to all records
Achieving a best practice level of compliance
Inspecting Live Computer Systems for Data Integrity Controls
Pattern Recognition Methods
Flags for Parallel Record-Keeping
Evaluating Data Governance Programs
Data Process Maps and Data Life Cycle Assessments
Centralizing management and eliminating silos
Evaluation of Current Enforcement Trends, including FDA & EU citations
Reduce compliance and e-discovery risks
Building a better business case
Why Should you AttendWhere are your records, what are the formats, how are they being tagged and classified, what kinds of policies are you applying to management and how well and consistently are you enforcing those policies?
This webinar will help attendees learn how to apply consistent Meta tags and policies to all documents and records. It will also teach how to reduce compliance and e-discovery risks.
This webinar is designed for people tasked with performing audits for their organizations for data integrity. It is also for those tasked with records management. This includes individuals that have Quality Management Systems responsibilities for making general improvements in their organizationīs performance specifically related to equipment that produces and stores data, processes and documentation.
Auditing is a critical aspect of an overall data integrity assurance plan. To successfully audit the integrity of data, auditors must possess specific knowledge, insights, and skills. A solid audit strategy and plan are critical to providing the highest degree of assurance that no data integrity breaches have occurred, short of 100% verification (which is unfeasible in an industry that generates large volumes of data).But first, an auditor must understand what to look for before embarking on a data integrity audit. It is important to focus on high-risk areas within a dataset, since these provide the greatest opportunities to identify issues in the limited time available.
Who will Benefit
Senior Quality Managers, Quality Professionals, Regulatory Professionals, Compliance Professionals, Production Supervisors, Validation Engineers, Manufacturing Engineers, Production Engineers, Design Engineers, Process Owners, Quality Engineers, Quality Auditors, Document Control Specialists