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4 Tips for Data Quality Maintenance

Ashly Arndt | January 29, 2024

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Codified governance policies necessary

Issues impacting data quality have grown more serious recently. The increase in scale of data reserves has left companies in need of solutions.

Retailers clamoring for big data may first need to firm-up grasp

This will likely change in the near future, since companies across industries are anticipating big data benefits, such as data-driven decision making and greater insight into data.

Virtualization software usage to reach 'tipping point' by 2014

Data management will be transformed by use of virtualization software by 2014, it is claimed.

Healthcare could suffer from poor data quality

A growing number of healthcare providers are investing in, and using, electronic health records (EHR) systems to streamline documentation.

SEM and SEO produce best marketing results, expert says

Online retailers should use SEO and SEM in combination to get the best results from their marketing budgets, it is suggested.

A good data cleanse can clean up some healthcare practices

Having good data quality is important across a number of industries, but especially when it comes to healthcare.

Keeping it REAL at AAMVA International Conference 2018

This year’s AAMVA International Conference (AIC) was held in the “City of Brotherly Love”—Philadelphia, Pennsylvania. As it does each year, the AIC attracted representatives from across the North America who work in the public sector, particularly those that work in the motor vehicle space. The conference, which ran from August 21 – 23, covered many of the most pressing topics currently facing those in the motor vehicle space. There is a major emphasis on improving the customer experience and reducing wait times at department of motor vehicle branches in regions across America. One of the major areas of emphasis comes around the regulations for REAL ID.

PCI SSC reveals tokenization guidance

Tokenization is not sufficient technology for compliance alone, it has been claimed.

DIA concerned about data quality safeguards in clinical research

Further measures need to be taken to insure data quality is protected during clinical research, it is claimed.

Four reasons to invest in data quality management

Across nearly every industry, data has become a key driver for critical business initiatives. At the same time, data will only add value to your business when it is trustworthy and actionable. That means there should be a robust and reliable data quality management strategy in place that aligns with the needs of your entire organization. The best way to justify the need for investing in a data quality management strategy is to identify the areas in which it will benefit the business as a whole. Here are the top four reasons to invest in data quality management. 

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