Fast Data Quality
OUTCOME
Reliable data. More efficient processes. Analytics and AI built on a solid foundation.
Many organizations invest in Analytics, Data Profiling, Data Platforms, and Artificial Intelligence without achieving the expected value because they rely on inconsistent, fragmented, or incomplete data.
THE CHALLENGE
Poor data quality is the biggest barrier to reliable Analytics and AI
Common challenges
Multiple records for the same customer, supplier, or product
Missing information that compromises business processes and reporting
Inconsistent data across ERP, CRM, operational systems, and databases
Time-consuming manual data validation and correction
Lack of ownership, traceability, and change control
The result is a loss of data governance that directly impacts decision quality and limits the ability to adopt AI effectively. Only 5% of organizations are successfully realizing value from AI at scale.
THE SOLUTION
A complete cycle for optimizing data quality
Fast Data Quality is a ready-to-use platform that automates data quality management. It collects data from enterprise systems, automatically validates its completeness, consistency, and uniqueness, performs data cleansing, and supports anomaly resolution through rules, workflows, and Artificial Intelligence.
Its goal is not simply to identify errors, duplicates, or missing information, but to strengthen data governance and establish a continuous process for improving and enriching the organization’s information assets.
How It Works
Capture
Collects raw data from structured and unstructured data sources, including ERP, CRM, HR, MES, databases, Excel files, and enterprise applications.
Analyze
Assesses the overall health of your data (Trust Score) and identifies areas that require attention based on data quality, completeness, consistency, and uniqueness rules, across both individual records and related datasets.
Auto-correct
Based on the configured rules, it performs data cleansing, automatically corrects issues using AI, or routes anomalies to the appropriate users through predefined workflows.
Monitor
WHAT’S INCLUDED
A complete platform
Fast Data Quality combines automated controls, rule management, validation workflows, and monitoring dashboards to support the entire data quality improvement lifecycle.
Automated data validation, profiling, and normalization
Definition and management of data quality rules
Anomaly management and responsibility assignment
Continuous data quality monitoring
Seamless integration across enterprise data sources
Intelligent support for data cleansing activities
Complete audit trail and change history
USE CASES
Adopting Fast Data Quality delivers strategic benefits that go far beyond technology alone.
Fashion
Duplicate customer records across e-commerce and retail channels, inconsistent product codes across collections and countries, incomplete supplier master data, and errors in product hierarchies.
Pharma
Incomplete drug master data, misaligned product codes between ERP and regulatory systems, inconsistent pharmacovigilance data, and incorrect batch and expiration date management.
Energy
Duplicate POD/PDR records, missing consumption data, inconsistencies between billing systems and CRM, and errors in plant and energy asset master data.
Healthcare
Duplicate patient records, inconsistent procedure codes, incomplete clinical data, and missing links between patients, healthcare facilities, and care pathways.
Business Impact
Organizations that adopt Fast Data Quality can achieve:
Optimized operational resources
Greater process efficiency
More reliable reporting
Faster AI project delivery
GOVERNANCE & SECURITY
Fast Data Quality integrates data governance, security, and traceability capabilities to make data quality improvement controlled, auditable, and fully aligned with corporate policies.
Clearly defined processes and responsibilities
User profiles, roles, and permissions aligned with corporate policies
Transparency, auditability, and compliance with applicable regulations, including GDPR requirements
Reliable, governed enterprise data integration to support Analytics, Machine Learning, and Generative AI
WHY ABACUS
A structured operating model
From Data Quality to AI Readiness
Abacus combines expertise in Data Governance, Data Profiling, Data Quality Automation, Data Platforms, Analytics, and AI to support organizations across the entire data value chain—from analyzing data sources and building trusted, high-quality data to enabling reports, dashboards, and AI solutions.
An approach that brings together methodology, technology, and integration expertise to help organizations use their data with greater confidence, consistency, and control.
Download
Download Solution Brief, Case Studies and Architecture Overview to delve deeper into solutions and results.
SOLUTION OVERVIEW
A comprehensive overview
Want to know how reliable your data really is
Talk to an Abacus expert and discover how Fast Data Quality can help you identify anomalies, reduce manual effort, and build a stronger data foundation for Analytics and AI.
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