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Yearly Archives: 2018

Database activity monitoring used to observe employee behavior

Database management can sometimes be challenging.

Data entry important to quality control

Data quality issues are derived from a number of sources, including inaccurate entry processes and migrating information to a new storage environment.

Service level agreement important for data management in the cloud

The service level agreement is a vital contractual issue for firms using virtualized data management.

Twitter ad revenues to soar

Internet retailers will continue to spend more money on Twitter advertising, research suggests.

The benefits of data cleansing

Cleaning your house is always a good idea. I especially love to clean on rainy days, like the one we’re having in Boston today. It gives you the chance to get rid of and organize all that clutter. Taking the opportunity to enhance your space by getting rid of the junk and allowing the important details to shine will bring a sense of clarity. The same goes for your data! Every data set could use a little sprucing up. Rather than waiting for a rainy day, it’s even better to give your data a regular dose of cleansing. After cleaning up the data in your system, you are open to a whole new world of cost savings and enhanced customer experience.

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.

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.

PCI SSC reveals tokenization guidance

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