Detect missing, inconsistent, or incorrect data before they cause procurement delays, stock shortages, or production interruptions.
Avoid Planning Errors
Identify incorrect planning parameters that can lead to overstocking, material shortages, missed delivery dates, or inefficient inventory levels.
Increase Migration Success
Detect data issues before ERP migrations to reduce project risk, avoid go-live disruptions, and accelerate adoption of new systems.
Eliminate Duplicate Payments
Identify duplicate suppliers and records before they create financial losses.
Prevent Compliance Violations
Detect risks early to avoid audit findings, penalties, and reporting errors.
Prevent Production Stops
Identify data issues before they delay manufacturing or disrupt material availability.
Stop Invoice & Payment Issues
Validate critical finance and procurement information before errors reach downstream processes.
Avoid Missed Deliveries
Detect master data errors that can impact customer orders and delivery commitments.
With Rule Catalog, you can
Access and activate 2,500+ prebuilt rules for consistent data validation across industries and systems.
Cover everything from simple format checks to complex AI-based quality checks on data
Identify same and similar records with advanced matching logic using AI
Accelerate time-to-value with visible results in just 4 weeks
Achieve full data coverage across all relevant objects from master data to processes
Leverage best practices from 70+ real-world projects productized into scalable content
Expert Curationfully designed and validated by data quality specialists
100
Rules built on real Data Quality projects best practices selected from over
70
Covers All the Basics
Technical rules for clean, reliable foundations
From format database validation to empty fields, technical rules are fully covered ensuring your data is clean at its core and ready for downstream use.
Validates Process Logic
Business rule checks for real-world flows
The catalog includes rules that reflect real-world business logic such as dependencies, ranges, and sequencing, delivering advanced data validation and quality checks on data across a wide range of industries and processes to ensure data makes sense in context.
Detects Complex Issues with AI
AI-enhanced rules catch even the toughest issues
We go beyond static logic by using LLMs to detect semantic duplicates, AI to validate commodity codes, and document parsing to perform advanced data validation and quality checks on data by comparing ERP records against unstructured sources.
Cleansing Done for You
Let AI agents handle the cleanup
Sweeper AI’s trusted agents fix the data issues detected for you. You stay in control while your assistant handles the cleanup. Efficiently, accurately, and at scale.
Explore the full capabilities of the Data Quality Navigator
Get a complete overview of how all features work together to solve real data challenges from assessment to cleansing, validation, monitoring, and governance.
Delivering Content-Driven Data Quality Management at Scale
Data Quality Navigator by BearingPoint helps organizations assess, fix, govern, and optimize business-critical data with expert-built rules, guided workflows, and measurable impact.
Whether you're addressing migration risks, process disruptions, or data governance challenges, our experts can help you identify the highest-impact opportunities.
