Distributed Data Quality

Sooner or later, your organisation will suffer from data quality issues:- Duplicated records, incorrectly keyed-in data, and inaccurate address information – the list goes on. In Activity Based Funding scenarios, vital payments can be delayed by erroneous data in submissions. Worse, fixing such errors can costly and time-consuming. According to a recent study, it was found that poor data quality can cost an organisation as much as 20% of its operating profit. That means a lot of time and money is spent on fixing up bad data problems.

When it comes to medical data, the consequences of poor data can be far more serious.

Traditionally, Data Quality solutions are managed by IT. This usually means reports or spreadsheets get thrown around the organisation. A very messy and time-consuming process that can introduce more problems. QFire takes away all the pain of managing poor data - at incredibly low cost. For a start, QFire is provided as a browser-based system for managing data quality, where business users can set the rules and manage the process – with no intervention from IT. For health applications, QFire comes with data quality rules out of the box, so many of your current data issues can be solved immediately upon installation.

This makes QFire the perfect choice for Data Quality remediation in Health-based

applications.

QFire quickly takes the user through six areas of data quality management via a friendly web- interface (no more spreadsheets).

Understand

QFire helps you understand the data before trying to determine what amendments need to be applied. QFire Understand incorporates profiling information and quality metrics that highlight the health of the information being used.

Collect

Data can come from many places, and its collection is rarely a one-off process. QFire’s import templates allow you to acquire information from the same external source repeatedly. QFire Collect can pull data from databases, flat files, spreadsheets, pdf, word documents, email and a number of other formats of structured and unstructured data.

Validate

Defining validation rules can be complex and time consuming, often requiring complex SQL statements written by technical staff or consultants. With QFire’s Plain English Rule Editor, the task of creating rules is made simple and can be managed by anyone who understands the information. The Rule Editor allows look-up checks, comparisons and integrity statements to be added without coding. QFire’s set-and-forget built-in smarts help you quickly build the validation rules you need to apply to your data, and when a new data item blocks the flow, QFire Validate  tells the user where the error lies, how to find it and what piece of information is invalid.

Protect

Once your data has passed validation, QFire Protect’s Quality Firewall lets you to determine whether you wish to just be notified of errors or to protect your systems by rejecting a row of data or an entire dataset.  You can decide whether an error should be marked as critical, high, medium or low, and at what percentage of errors should be allowed before data is rejected.

Enrich

Your data is valuable once cleansed, and enriching your data can significantly increase its value.  QFire integrates with a number of third-party products for data enrichment, including adding geo- coding for location information, additional classification information through taxonomies or postal address completion.

Monitor

QFire Monitor tracks all the details of the data submitted for collection. Through the use of a built-in version control, users can check the current submission against a previous submission to monitor changes in quality.  QFire’s Quality Scoring allows you to see if the data quality is improving from a collection source and can even compare collections from other sources, so you can visualise the overall health of your data. Technical Information QFire is a web-based application developed using Microsoft .Net and requires a Microsoft SQL Server database. QFire can be installed and managed in-house or hosted in the Cloud and can to talk to most commonly-used databases. Thanks to its ease of use, QFire deploys very quickly (in a day or so) and at minimal cost and disruption to the business. Once deployed, QFire will provide huge cost savings over current methods of managing poor quality data. Don’t leave your organisation exposed to the risks associated with poor data! To find our more, call or email us today.

The consequences of poor data in health can be severe.

Solve your data quality issues rapidly with QFire.
QFire logo QFire Data Quality Gartner Cool Vendor logo
BIReady Australia BIReady Pty Ltd 143 Aiken Road, West Pennant Hills NSW 2125 Australia Email info@biready.com.au  Telephone +61 (0)2 8880 5111 www.biready.com.au ABN : 57 167 132 112

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At BIReady Australia, we provide our customers with best-of-breed Information Management solutions. As such, our solutions and services offer advanced expertise in Data Warehouse Automation, Data Quality, Textual Analysis and Business Intelligence. Our experience extends across Healthcare, Finance and Retail.
Call us now! 02 8880 5111

Distributed Data Quality

Sooner or later, your organisation will suffer from data quality issues:- Duplicated records, incorrectly keyed-in data, and inaccurate address information – the list goes on. In Activity Based Funding scenarios, vital payments can be delayed by erroneous data in submissions. Worse, fixing such errors can costly and time-consuming. According to a recent study, it was found that poor data quality can cost an organisation as much as 20% of its operating profit. That means a lot of time and money is spent on fixing up bad data problems.

When it comes to medical data, the consequences of

poor data can be far more serious.

Traditionally, Data Quality solutions are managed by IT. This usually means reports or spreadsheets get thrown around the organisation. A very messy and time- consuming process that can introduce more problems. QFire takes away all the pain of managing poor data - at incredibly low cost. For a start, QFire is provided as a browser-based system for managing data quality, where business users can set the rules and manage the process – with no intervention from IT. For health applications, QFire comes with data quality rules out of the box, so many of your current data issues can be solved immediately upon installation.

This makes QFire the perfect choice for Data Quality

remediation in Health-based applications.

QFire quickly takes the user through six areas of data quality management via a friendly web-interface (no more spreadsheets).

Understand

QFire helps you understand the data before trying to determine what amendments need to be applied. QFire Understand incorporates profiling information and quality metrics that highlight the health of the information being used.

Collect

Data can come from many places, and its collection is rarely a one-off process. QFire’s import templates allow you to acquire information from the same external source repeatedly. QFire Collect can pull data from databases, flat files, spreadsheets, pdf, word documents, email and a number of other formats of structured and unstructured data.

Validate

Defining validation rules can be complex and time consuming, often requiring complex SQL statements written by technical staff or consultants. With QFire’s Plain English Rule Editor, the task of creating rules is made simple and can be managed by anyone who understands the information. The Rule Editor allows look-up checks, comparisons and integrity statements to be added without coding. QFire’s set-and-forget built-in smarts help you quickly build the validation rules you need to apply to your data, and when a new data item blocks the flow, QFire Validate tells the user where the error lies, how to find it and what piece of information is invalid.

Protect

Once your data has passed validation, QFire Protect’s Quality Firewall lets you to determine whether you wish to just be notified of errors or to protect your systems by rejecting a row of data or an entire dataset.  You can decide whether an error should be marked as critical, high, medium or low, and at what percentage of errors should be allowed before data is rejected.

Enrich

Your data is valuable once cleansed and enriching your data can significantly increase its value.  QFire integrates with a number of third-party products for data enrichment, including adding geo-coding for location information, additional classification information through taxonomies or postal address completion.

Monitor

QFire Monitor tracks all the details of the data submitted for collection. Through the use of a built-in version control, users can check the current submission against a previous submission to monitor changes in quality.  QFire’s Quality Scoring allows you to see if the data quality is improving from a collection source and can even compare collections from other sources, so you can visualise the overall health of your data. Technical Information QFire is a web-based application developed using Microsoft .Net and requires a Microsoft SQL Server database. QFire can be installed and managed in-house or hosted in the Cloud and can to talk to most commonly-used databases. Thanks to its ease of use, QFire deploys very quickly (in a day or so) and at minimal cost and disruption to the business. Once deployed, QFire will provide huge cost savings over current methods of managing poor quality data. Don’t leave your organisation exposed to the risks associated with poor data! To find our more, call or email us today.
BIReady Australia BIReady Pty Ltd 143 Aiken Road, West Pennant Hills NSW 2125 Australia Email info@biready.com.au  Telephone +61 (0)2 8880 5111 www.biready.com.au ABN : 57 167 132 112

Follow Us

The consequences of poor data in

health can be severe.

Solve your data quality issues rapidly  with QFire.