Intact Analytics Use Cases
Discover an overview of Intact Analytics use cases. Intact’s smart audit automation tool is the right solution for a variety of problems. Discover your use case!
About Intact Analytics
Intact Analytics uses Artificial Intelligence (AI) to analyze audit data, find anomalies, and make suggestions to improve audit performance, planning, standards, and training programs. Make informed decisions without data science know-how.
The audit analytics tool provides easy-to-read dashboards with all your key metrics. Our automated anomaly detection helps you act fast on risks and root causes. Predict future audit results for risk-based planning and optimization. Unlock the information buried in your complex audit data to answer business-critical questions, make goal-oriented decisions, and conquer your biggest challenges. For more information about Intact Analytics and how it works, visit the Intact Analytics page.
Use Case Overview
Intact Analytics can be used to optimize your business as well as your integrity throughout the entire audit trail. Discover an overview below, and use the links to your specific session.
Each use case provides an overview of what each part of how each part of the software helps you in this specific case. Use the module to navigate through user roles and software navigation.
Standard Improvement / System Monitoring & Integrity Checks
Intact Analytics is the ideal tool to improve and optimize your standard. Discover below, how you can utilize automated integrity checks to gain integrity insights and derive standard improvements. Find an overview of how Intact Analytics supports the entire process below and dive into how each function supports you along the way.
Learn more about this use case or book a demo for a live demonstration
Reviewer: Audit Level
(Business)-Rules
Business rules can be applied to automatically analyze results: E.g. if 3.1 of the checklist has a good rating, 9.5 can not have a bad rating, or if data from another databank was flagged (e.g. RASFF)
AI – Anomaly Detection
Anomaly detection can be used to perform statistical pattern analysis on audit level.
AI NLP
NLP is used to process language and to identify important data points: E.g. if the topic “listeria” is in the non-conformity or any other free text field or if the topic critical control point (CCP) is in the mitigation description
Review Manager: Aggregated Level
(Business)-Rules
(Business)-Rules will show you the answers to important questions at a glance: E.g. how many rules were flagged and in which sector/region. As well as trends, patterns, correlations
AI – Anomaly Detection
Discover common pattern analysis, e.g. which patterns occur in which region, sector, sections, and more
AI NLP
Natural language processing helps you discover in-depth insights: E.g. how many topics/risks were flagged and in which sector/region as well as trends, patterns, correlation
Difference to classical BI
(Business)-Rules
Intact Analytics is a true “workhorse”. A full scale software-tool, not just visualizations. It provides no-code SQLs, flagging and inspection of individual audits, and ready to use tool for reviewers
AI – Anomaly Detection
Detection of patterns hidden from BI and humans in general
AI NLP
Semantic risk/topic detection in free text fields
Risk-Based Audit Planning
Smart audits have often been described as the future of auditing. There is no better way to utilize your audit data than to integrate smart, risk-based audit planning. Intact Analytics uses the power of artificial intelligence to semi-automate risk-based auditing.
Learn more about this use case or book a demo for a live demonstration.
Planner: Audit Level
Explorative, rule-based planning
Intact Analytics lets you utilize explorative, rule-based planning to get suggestions for audits: e.g. if the last audit was below 70% and had a major, then add a risk-based remote audit. Or explore last findings in the same company or similar companies and add risk topics to an audit.
AI – predictive analytics
Let’s you predict non-conformities based on audit history and similar auditees. Additionally, you can predict which audits have a high probability to have NCs (in critical areas).
AI – NLP
Shows you: E.g. if the topic “listeria” is in the non-conformity or any other free text field of past audits, if the topic critical control point (CCP) is in the mitigation description of last audits
Planning Manager: Aggregated Level
Explorative, rule-based planning
Helps you decide, where the focus for the next batch of audit planning should be: E.g. topic, regions, sectors, trends, patterns, correlations
AI – predictive analytics
Enables you to discover common pattern analysis, e.g. which NCs will occure in which region, sector, sections etc. Execute planning management based on predictions and suggestions
AI – NLP
Shows you how many topics/risks were flagged. E.g. in which sector/region, trends, patterns, correlations.
Difference to classical BI
Explorative, rule-based planning
Intact Analytics is a true “workhorse”. A full scale software-tool, not just visualizations. It provides no-code SQLs, flagging and inspection of individual audits, and ready to use tool for reviewers
AI – predictive analytics
Detection of patterns hidden from BI and humans in general
AI – NLP
Semantic risk/topic detection in free text fields
Audit-Review Automation
Audit-Review Automation not only allows you to work more efficiently, but also more detailed than ever. Use the power of AI and save time and discover things, hidden to the human eye. Find an overview of how Intact Analytics supports the entire process below and dive into how each function supports you along the way.
Learn more about this use case or book a demo for a live demonstration.
Reviewer: Automated (Pre-Reviews)
(Business)-Rules
Utilize Intact Analytics to perform large scale data checks: E.g. if 3.1 of the checklist has a good rating, 9.5 can not have a bad rating, or if the overall score of an audit varies more than 10% from the last audit.
AI – Anomaly Detection
AI helps you to perform statistical pattern analysis on audit level.
AI – NLP
Intact Analytics NLP utilizes the power of Natural Language Processing to check text fields. For example if the topic “listeria” is in the non-conformity or any other free text field, or if the topic critical control point (CCP) is in the mitigation description.
Review Manager: Aggregated Level
(Business)-Rules
Use the power of aggregated data analysis and discover how many (business-)rules were flagged in which sector/region, trends, patterns, correlations.
AI – Anomaly Detection
Make better decisions based on common pattern analysis, e.g. which patterns occure in which region, sector, sections, etc.
AI – NLP
Shows you how many topics/risks were flagged. E.g. in which sector/region, trends, patterns, correlations.
Difference to classical BI
(Business)-Rules
Intact Analytics is a true “workhorse”. A full scale software-tool, not just visualizations. It provides no-code SQLs, flagging and inspection of individual audits, and ready to use tool for reviewers
AI – Anomaly Detection
Detection of patterns hidden from BI and humans in general
AI – NLP
Semantic risk/topic detection in free text fields
Risk-Based Auditing
Revolutionize your risk-based audit approach based on ALL your data. The power of AI shows you, who should audit what, when and where. Make smarter decisions faster and audit the right things at the right time. Find an overview of how Intact Analytics supports the entire process below and dive into how each function supports you along the way.
Learn more about this use case or book a demo for a live demonstration.
Auditor – Audit Level
Explorative, rule-based audits
AI gives you access to learnings based on ALL data at a glance: E.g. if checklist point 4.3 is a major, then a new area 7.9 has to be audited, or if the company is in a complex supply chain with high risks, then add section 11.2 and 13.4 and focus on 3.2
AI – predictive analytics
AI is a game changer when it comes to predictive analysis. It can predict non-conformities based on audit history and similar auditees and lets you know which audits have a high probability to have NCs.
AI – NLP
NLP gives you suggestions for mitigation methods or other, connected potential NCs based on similar findings.
Difference to classical BI
(Business-)Rules
Intact Analytics is a true “workhorse”. A full scale software-tool, not just visualizations. It provides no-code SQLs, flagging and inspection of individual audits, and ready to use tool for reviewers
AI – predictive analytics
Detection of patterns hidden from BI and humans in general
AI – NLP
Semantic risk/topic detection in free text fields
Individualized Training
Using Intact Analytics for your organization not only shows you who should audit what, when and where, but also who is good at auditing what when and where.
Book a demo to discover individualized training plans, supported by the data and finally answer the question “Which training plans for whom”.
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