Data Quality

Infogix Data Quality ensures the integrity of your data by automatically monitoring your data flow as it continuously moves throughout your entire enterprise.

While most data quality solutions monitor data in silos or warehouses, Infogix automates the monitoring of data with analytical business rules that span the end-to-end business process, so 100% of your transactions are monitored, regardless if it originates from 3rd party sources, or internal core systems.

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Enterprise-Class Life and Health Claims Monitoring
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Trustworthy Data Depends on Enterprise Data Quality

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Case Study

Best Practices for Deriving Value from Data

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How it’s Done

Step One: Conduct field level checks into the completeness, type conformance, value conformance, and consistency of data at its origination. Looking at the field level in your data provides detailed metrics of your data by applying automated business rules to flag data that doesn’t conform. Transposed numbers, invalid account numbers, empty values are just some of the issues that can derail processing, resulting in poor data quality. Worst yet, is when the error is spotted by the end customer and the organization incurs countless hours investigating and correcting the issue while tarnishing the quality brand image of the company. So by identifying any potential data quality issues at the point of creation, you minimize the risk of perpetuating these issues to downstream applications.

Step Two: Analyze data both at summary total and detail transaction level as this information is exchanged and transformed throughout the data supply chain in order to verify, balance, reconcile, and track that the information being processed is accurate. This often gets complex when balancing involves not just one-to-one checks, but one-to-many, many-to-many, and multi-level reconciliation. Add in process validation, timeliness, and exception management and the siloed approach utilizing semi-automated and manual spreadsheets begins to show gaps in the process resulting in increased operational risk.

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Q & A with Four of Infogix’ Leading Customers

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Webinar

Improve Data Quality

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Webinar

Data Quality: The Backbone of Your Analytics Program

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Enterprise Data Analysis Platform

Both steps are addressed with The Infogix Enterprise Data Analysis Platform that is in use at hundreds of organizations around the world for the past 30 years. As a proven platform to break down the silos with end-to-end analytics that continuously monitors data as it flows throughout your enterprise – You also gain something that has been missing –Dashboard and Reporting Visibility. By monitoring data end-to-end you get enterprise visibility and control over exception management to proactively manage data quality and reduce risk.

When it comes to data quality, the number one reasons customers choose Infogix is to manage risk.

And with The Infogix Enterprise Data Analysis Platform you can capitalize on your quality data to run advanced analytics to solve complex problems that drive the revenue side of the equation. While data quality is connected to reducing operational risk, the true value organizations are striving for is to create new and innovative ways to analyze data across your enterprise to derive insights that drive informed decision making and profitability.