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.

Use Cases

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.

If you have further questions or want to dive into the subject even further: Book a free demo.

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.

Discover the use case for risk-based audit planning below. Find an overview of how Intact Analytics supports the entire process below and dive into how each function supports you along the way. If you are intrigued and want to get started: book a demo call today.

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.

Discover the use case below and book a demo if you want to learn more.

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.

Discover the use case below and book a demo if you want to learn more.

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.

Discover individualized training plans, supported by the data and finally answer the question “Which training plans for whom”.

Book a Demo

Book a demo with one of our experts and get to know Intact Analytics use cases even better.

Book a demo.

We promise to amaze you.

Our experts are ready to discuss your challenges and demonstrate how you can master them with ease with Intact software solutions.

Fill out the form, and we will take care of the rest. Of course, you can also give us a call — see our local country numbers.

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Our experts are ready to discuss your challenges and demonstrate how you can master them with ease with Intact software solutions.

Fill out the form, and we will take care of the rest. Of course, you can also give us a call — see our local country numbers.