Incedo DQxpert
Proactively identify and remediate Data Quality Challenges with AI-first Approach
Why Enterprise Data Quality is a Big Challenge Today?
Enterprise Data Hurdles
Enterprise data initiatives are costly, time consuming and yield poor quality of insights
Data Quantity over Quality
Explosion of Big Data cannot offset data quality and reliability with quantity.
Data Quality Challenges Persist
Firms grapple with data quality across the lifecycle for making informed decisions
Challenges with Enterprise Data Quality for Businesses
Navigating Enterprise Data Complexity
Enterprise data initiatives cost too much, take too long and still do not guarantee good quality of insights.
Taming the Software Sprawl
The increasing number of tools and data sources lead to complex responsibilities for data teams, making it harder to manage data effectively.
Elevating Data Quality Amid Rising Expectations
In an era where data fuels business advantage, expectations from data consumers have soared. From hyper-personalized CX to evolving compliance requirements, the demand for high-quality data has never been greater.
Incedo’s 3- Step Approach to Unlock Real value from Enterprise Data
Emphasis on Quality as a Function of Business Context
Leverage AI-First Approach to Uncover Hidden Data Issues
Real-time, Automation and Integration of Issue identification and Remediation
Overcome Data Quality Challenges with AI-enabled Incedo DQxpert
AI and ML models need quality, relevant and accurate data to uncover critical business issues, undetected by deterministic rules. Automated integration of issues with remediation is key to business agility and success. To maximize value from data, enterprises need to proactively identify, remediate, and monitor data quality issues.
Incedo DQXpert
An AI-enabled platform that solves Data Quality issues at the cusp of Business Context and Technology Enablement. It then prioritizes and actions data quality processes to deliver measurable impact.
Data Quality Diagnostics
Rapid DQ Health Assessment
Uncover quick impact issues in 2 weeks with our Enterprise Use Case and Metrics based approach.
Deep-Dive DQ Diagnostics
Unearth deep-rooted issues, with recommendations and detailed action plan.
Data Quality Engineering
Make informed decisions based on accurate information and reliable insights. Engineering enablers improve definition & coverage of DQ rules, monitor issues and define remediation actions for in-production processes. Command Centre monitors real-time DQ Health, based on business objectives.
Key Differentiators of DQXpert
Conceptualized for use cases across the Enterprise
End-to-end AI-assisted DQ Lifecycle
Integrated with Incedo’s GenAI Platform ‘brAInspark’
Seamless Integration with Data Pipelines
Deep Pattern and Anomaly Detection
Visualize DQ health and Track Actions
Success Stories
Leading Wealth Management Firm
