ACCELERATOR

Data Quality

Validate your data pipeline completely, confidently, and cost-effectively

Healthcare Organizations are Struggling to Access Real-Time Insights on Data Quality

Organizations need to assess data for quality issues, validate insights, and report to relevant stakeholders. But achieving this requires a data platform that can integrate with existing systems and workflows and bridge the data readiness gap.
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Poor Data Quality
Poor data quality is one of the key obstacles organizations face while accelerating innovation.
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High Costs and Countless Hours
High costs and countless hours are spent by IT teams on data quality checks and root cause analysis.
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Patient Data Duplication
Patient data duplication with partial information significantly impacts analytics and data-driven care strategies.
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Poor Data Quality
Poor data quality is one of the key obstacles organizations face while accelerating innovation.
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High Costs and Countless Hours
High costs and countless hours are spent by IT teams on data quality checks and root cause analysis.
event-card
Patient Data Duplication
Patient data duplication with partial information significantly impacts analytics and data-driven care strategies.
event-card
Poor Data Quality
Poor data quality is one of the key obstacles organizations face while accelerating innovation.
event-card
High Costs and Countless Hours
High costs and countless hours are spent by IT teams on data quality checks and root cause analysis.
event-card
Patient Data Duplication
Patient data duplication with partial information significantly impacts analytics and data-driven care strategies.
event-card
Poor Data Quality
Poor data quality is one of the key obstacles organizations face while accelerating innovation.
event-card
High Costs and Countless Hours
High costs and countless hours are spent by IT teams on data quality checks and root cause analysis.
event-card
Patient Data Duplication
Patient data duplication with partial information significantly impacts analytics and data-driven care strategies.

Analyze and Close Data Quality Gaps with Advanced Performance Indicators and Robust Dashboards

Assess the quality of your data with a comprehensive Total Data Quality indicator (a collective score for completeness, timeliness, accuracy, semantics, consistency, plausibility, regex score).
Conduct a drill down analysis for each level to get complete visibility into quality as data moves from source to target and quickly identify where it's deteriorating.
Analyze your organization’s performance across cost, quality and risk metrics by comparing it with payer data.
 

Solution Highlights

Track, analyze and validate data quality with comprehensive dashboards and thousands of quality rules
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7000+
Inhibit Quality Rules
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4+
Business Domains
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15+
Dashboards
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