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4 Tips for Data Quality Maintenance

Ashly Arndt | January 29, 2024

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Web sales boost from recommendations for Urban Outfitters

Urban Outfitters has shown how on-site recommendations can provide a real boost to web sales.

Data quality traps: Easy to fall into, but hard to get out of

Big data adoption is picking up, with nearly half of surveyed businesses saying they are developing plans to use it and 28 percent reporting they have already tested projects or have one underway.

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.

How bad customer data impacts your brand equity

Bad customer data can be likened to a bad social media gaffe where a brand gets something wrong and all hell breaks loose. The immediacy is felt and negative brand equity is generated. But typical to Twitter, it is instantaneous—and in most cases, the outrage is short-lived. Often, it’s because a business isn’t quite aware of what audiences it is catering to and what they may or may not be interested in hearing.

Why insights-driven businesses are winning in the digital age

Digital transformation is the modern-day Gold Rush. To reach new markets and grow revenue, business leaders across industries are flocking to embrace new technology and digital processes. And it’s no wonder why! The digital economy offers a myriad of benefits to businesses and consumers alike. While consumers can expect mobile-optimized and personalized experiences, businesses will appreciate having better insight for decision-making and product innovation. However, digital transformation also brings its own set of challenges, from external regulatory hurdles to internal technology limitations.

Twitter ad revenues to soar

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

Retailers mining customer data for targeted marketing

Retail data mining no longer relies on loyalty programs.

Big data strategies beg the question: Speed or accuracy?

These capabilities have led many companies to rush forward with their plans, passing over important data quality measures.

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.

The quickest way to understand your customers better

One of the biggest challenges in today’s age is staying in tune with the constantly changing market and needs of our customers. From Facebook to Instagram, Boomerang, or Snapchat… what customers are interested in, who they are, and what they care about is always in flux. How do you stay agile in a shifting world? You must constantly be striving to understand your customer and what your company’s ideal customer persona looks like. Aligning on your ideal customer, in conjunction with understanding your prospects and customer database, will allow you to target and market to them in the best way possible.

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