Preventing Data Quality Debt

Feb. 10, 2011 - PRLog -- Data Quality software and dedupe software industry used to improve data quality  is booming!

This debt needs repaying sometime down the line and often with significant interest. Martin Doyle, CEO DQ Global states “The interest payable on the DQ debt™ is proportional to the lack of interest in the DQ problem.” To overcome this problem DQ Global has developed proven software and strategies for avoiding this unnecessary data quality debt. Through identification, correction and prevention methods when the root cause problems are addressed, the effects simply go away.

As Steven Covey stated “Part of the problem is the way you look at the problem”.  This applies wholly to data quality and data management.  However, if you apply these common sense commandments to your management of data, any business will benefit immediately and immensely.
10 Common Sense Commandments:>
1.   Discard conventional fixed ideas. You don’t have to be sick to get better.
2.   Think of how to do it better; not why it cannot be done.
3.   Start by questioning the current practices, methods and resources used. Do not make or accept excuses for poor data quality.
4.   Others will follow you, if you continually seek improvement. Data Quality is about fitness for use. Leave the search for 'perfection' to others.
5.   Do it right away even if it will only achieve 50% of target.  Ten improvements of 1% will often be better than one change of 10%
6.   If you make a mistake, correct it straight away.
7.   Throw wisdom at a problem, not money.
8.   Seek the wisdom inherent in your people rather than the knowledge of one.
9.   Ask 'WHY?" five times and seek root causes.
10.   Don't ask workers to leave their brains at the workplace entrance.

With these principles applied, the quest for high data and information quality becomes a shared commitment, everyone becomes involved.  With this approach, from the point data is first recorded, to the point it is reported upon, data will be nurtured, everyone will understand the downstream impacts and avoid the unnecessary waste (DQ Debt™), accrued through the use of defective data.

When data is wrong the information is wrong and bad decisions are made.  There is an overall lack of trust and decisions are made on instinct rather than fact.  This can ultimately lead to potential legal issues based on noncompliance or regulatory demands.

To overcome with these issues and ensure business make their data is fit for business use.  DQ Global offers their data cleansing software products and services to businesses that recognize their data is a business asset and has challenges or concerns about its quality.  Their soon to be released DQ 360 product is a “Complete Data Management” solution which ensures data is made fit for use and remains that way.
Unlike other competitive solutions it is affordable, modular and incredibly granular, so it can always be customised to exactly meet any customers’ needs.

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About DQ Global
With over 10 years' experience in data quality improvement, DQ Global specialises in easy to use, database-independent, data cleansing software which saves money and provides a platform for better informed decisions. Solutions range from simple desktop deduplication software, through larger departmental databases to complex enterprise-wide single customer view (SCV) and master data management (MDM) initiatives. Head Quartered in Fareham, Hampshire, UK; DQ Global also has regional offices in North America serving over 500 clients worldwide, including: Toshiba, Harvey Nichols, Standard Charter Bank, Pfizer, 3M and Siemens.dq global