You'll build a solid understanding of the core concepts, terminology, and fundamentals of SAP Business Integrity Screening, giving you a strong foundation to build on.

You'll get hands-on experience with industry-relevant SAP Business Integrity Screening tools and workflows through guided exercises, so you learn by doing rather than just reading theory.

The SAP Business Integrity Screening course is designed around how SAP Business Integrity Screening is actually applied to solve real-world problems in professional settings, not just textbook scenarios.

You'll develop the practical skills needed to confidently work with SAP Business Integrity Screening on the job, so you're ready to contribute from day one in a SAP Business Integrity Screening role.

Yes, the SAP Business Integrity Screening course includes real-time projects and case studies that reinforce concepts through practice, giving you portfolio-ready work by the end.

The SAP Business Integrity Screening course is structured to help you prepare for relevant certifications and interviews, covering the concepts and terminology employers and exam boards expect.

SAP Business Integrity Screening is an SAP solution designed to identify suspicious business activities, potential fraud, and compliance violations. It uses screening rules, risk indicators, data analysis, and alert management to help organizations investigate unusual transactions.

The main components include data integration, screening rules, risk scoring, alert management, investigation management, reporting, and continuous monitoring. These components work together to identify potential irregularities and support structured investigation processes.

SAP BIS architecture includes data sources, data extraction mechanisms, screening logic, processing components, user interfaces, and reporting capabilities. The architecture connects business data with screening strategies to identify suspicious patterns and generate alerts.

SAP BIS architecture includes data sources, data extraction mechanisms, screening logic, processing components, user interfaces, and reporting capabilities. The architecture connects business data with screening strategies to identify suspicious patterns and generate alerts.

SAP BIS supports fraud detection, integrity monitoring, and compliance-related screening within a broader governance and risk-management environment. It can complement other GRC processes by providing alerts, investigation records, and information about potential control violations.

Server components support data processing, screening execution, application services, and related backend operations. Client interfaces allow authorized users to configure screening activities, review alerts, manage investigations, and access reports.

The SAP BIS data model organizes the business information required for screening and investigation activities. It defines how relevant source data, business objects, screening results, and related records are structured and processed.

Data extraction transfers relevant information from source systems into the screening environment through supported interfaces and extraction processes. The extraction design depends on the source application, business requirements, data volume, and monitoring frequency.

User management controls which users can access screening functions and perform specific activities. Roles and authorizations help separate responsibilities such as rule configuration, alert review, investigation, administration, and reporting.

A screening rule defines conditions used to identify suspicious transactions, unusual patterns, or potential policy violations. Rules can evaluate business attributes, transaction values, relationships, thresholds, and other relevant indicators.

A prebuilt screening rule library contains predefined rule patterns for supported screening scenarios. These rules can provide a starting point for identifying common risks, although organizations may need to adjust them to suit their business processes and data.

BRF+ stands for Business Rule Framework plus, an SAP framework for defining and processing business rules. In relevant BIS configurations, it can support custom screening logic, decision tables, rule conditions, and rule-based evaluations.

Custom screening rules are designed by defining the required inputs, conditions, decision logic, and expected outcomes. The rules should then be tested with representative data and validated against business requirements before being introduced into operational screening.

A screening strategy defines how screening rules and related evaluation logic are organized and executed for a particular business scenario. It helps determine which checks apply to specific transactions, business objects, or risk categories.

Risk scoring assigns a risk value or classification to a transaction, business object, or screening result based on configured criteria. Scores can help prioritize alerts so that investigators can review higher-priority cases according to organizational policies.

Screening rules can be tested using representative datasets, expected outcomes, and different business scenarios. Validation helps identify incorrect conditions, missing data, excessive alerts, and screening logic that may not meet the intended requirements.

SAP BIS can use relevant financial, procurement, accounts payable, accounts receivable, general ledger, human resources, and other business data. Depending on the integration architecture, information from non-SAP applications can also be incorporated into screening processes.

Real-time screening evaluates data or business events as they occur or become available for immediate processing. Batch screening processes larger sets of records at scheduled intervals, making it suitable for periodic reviews and high-volume historical analysis.

Accounts payable screening evaluates vendor information, invoices, payment records, and transaction patterns to identify potential irregularities. Examples include duplicate invoices, unusual payment amounts, suspicious vendor changes, and transactions that violate configured business rules.

Ghost employee screening analyzes employee master data, payroll information, bank details, organizational assignments, and other relevant attributes. Configured rules can flag suspicious similarities, duplicate records, or unusual employee-payment patterns for further investigation.

Duplicate payment screening compares payment and invoice attributes to identify potentially repeated transactions. Matching criteria may include invoice references, vendor identifiers, amounts, dates, and payment details, depending on the configured screening logic.

Vendor master screening checks for suspicious changes or unusual patterns in vendor information. It can flag issues such as duplicate vendor records, unexpected bank-detail changes, unusual address similarities, or modifications that require additional review.

Expense screening evaluates employee claims, receipts, transaction amounts, expense categories, and submission patterns. Rules can flag duplicate claims, policy violations, unusual spending, or potentially unsupported expenses for investigation.

Alert generation creates a reviewable record when screening logic identifies a potential issue. Alerts can contain relevant transaction details, screening results, risk information, and references needed for subsequent analysis.

Alert prioritization organizes alerts according to configured risk levels, screening results, thresholds, or business criteria. It helps investigators allocate attention based on organizational procedures and the potential significance of each alert.

Alert management handles the alerts generated when screening rules identify potentially suspicious activity. It includes alert generation, prioritization, assignment, investigation, evidence management, resolution, and sign-off.

Alerts can be prioritized according to configured risk scores, thresholds, rule results, and other business criteria. Prioritization helps investigators focus on higher-risk cases first.

Alerts can be assigned to appropriate investigators according to organizational workflows and configured responsibilities. Assignment supports structured investigation and accountability for resolving potential risks.

The investigation workflow provides a structured process for reviewing alerts, collecting evidence, documenting findings, and resolving suspicious activities. It helps standardize how investigators handle potential fraud cases.

Evidence management allows investigators to collect and maintain information supporting an investigation. Evidence and attachments can be associated with alerts or cases to provide documentation for analysis and review.

Case management organizes investigations into structured cases containing relevant alerts, documentation, evidence, activities, and results. It provides a controlled framework for managing investigations from initiation through closure.

Investigators can document observations, evidence, analysis, decisions, and investigation results within the relevant workflow. Structured documentation helps maintain an audit trail and supports reporting and review.

BIS investigations may require information or participation from functions such as legal, HR, finance, procurement, and compliance. Case-management processes can support the sharing and documentation of relevant investigation information according to organizational access controls.

Case closure occurs after the investigation has reached a defined conclusion and required activities have been completed. Closure information can be retained for reporting, audit, and future analysis.

Fraud risk dashboards provide visual views of fraud-related indicators, alerts, investigation status, and risk trends. They help management and investigators monitor the overall integrity-risk landscape.

Alert trend analysis examines alert volumes, categories, risk levels, and changes over time. It can help organizations identify recurring patterns and evaluate the effectiveness of screening strategies.

False-positive monitoring evaluates how many generated alerts do not represent genuine risks after investigation. Monitoring this rate can help organizations refine screening rules and improve detection efficiency.

Continuous monitoring involves regularly or continuously screening business activities for potential risks. BIS supports scheduled screening, real-time monitoring capabilities, threshold-based alerting, and integration with relevant monitoring environments.

Threshold-based alerting generates an alert when a transaction or activity meets a configured threshold condition. Thresholds can be based on values, frequencies, risk scores, or other business-specific criteria.

BIS can be integrated with Security Information and Event Management (SIEM) environments as part of a broader monitoring architecture. This can help correlate integrity-related information with security and event-monitoring data.

Performance optimization involves appropriate data-processing strategies, efficient rule design, suitable scheduling, and system-level tuning. Large-volume screening environments require careful consideration of processing loads, data extraction, and rule execution.

BIS can support Anti-Bribery and Corruption (ABC) screening by applying configured rules to business transactions and relevant master data. Potentially suspicious activities can be identified and routed for investigation.

SAP BIS can be configured to identify transaction patterns and activities associated with potential money-laundering risks. Screening rules, risk scoring, alerts, and investigations can form part of the overall monitoring process.

The Foreign Corrupt Practices Act (FCPA) includes requirements related to anti-bribery and accounting practices. SAP BIS can support screening and monitoring processes designed around organizational FCPA compliance requirements.

BIS can be used to identify transactions or business activities that may require review under an organization's anti-bribery controls. Screening rules and investigation workflows can support compliance monitoring processes aligned with applicable requirements.

BIS provides screening, investigation, evidence, case documentation, and reporting capabilities that can support audit and compliance activities. Maintaining structured investigation records can help organizations demonstrate how potential risks were identified and addressed.

AI-driven anomaly detection can support the identification of unusual patterns that may not be easily detected through traditional fixed rules. The course curriculum includes AI-driven anomaly detection as part of BIS integration with S/4HANA and BTP.

SAP BIS can participate in cloud-based integrity-screening architectures using SAP BTP capabilities. The course curriculum covers cloud-based integrity screening, AI-driven anomaly detection, and integration with SAP Analytics Cloud.

The course page lists projects such as Financial Fraud Detection System, Vendor Risk Monitoring Process, Compliance Violation Detection, Employee Expense Fraud Analysis, and Automated Risk Alert Management. The curriculum also includes AP fraud detection, HR ghost-employee screening, and an end-to-end BIS implementation case study.

Learners can develop skills in BIS architecture, data extraction, data modeling, BRF+ rule configuration, risk scoring, transaction monitoring, fraud detection, alert management, case management, investigation workflows, evidence handling, compliance screening, continuous monitoring, analytics, SIEM integration, S/4HANA integration, BTP integration, and AI-based anomaly detection. These areas follow the technical modules and capabilities published on the Edubrights course page.