5 Steps To Maintain High-Quality Phone Number Database

Melissa AU Team | Australia, Phone Verification | , , ,

Though we’ve moved forward from landline phones to personal mobiles, a phone call remains the ideal way to connect with customers. 56% of a survey’s respondents ranked the telephone as their most preferred communication channel. Of course, you must have the right telephone numbers.

Putting together a directory of numbers is relatively easy. 79% of a survey’s respondents said that they would be willing to share information about themselves for personalized interactions while 56% were willing to share information for better service.… Read More

The Horrifying Facts of Your Data

Author | Data Cleansing, Data Enrichment, Data Quality | , , , , , , , , , ,

The spirit of Halloween is brewing and it seems like no better time to take a look at the horrifying reality of your data.

91% of businesses suffer from dirty data. Whether you choose to face it or run away from it, the terrifying fact remains – your data is decaying at a rate of 2.1% per month. That means that in just one year, up to 22.5% of your database will be incorrect, stale, and unusable.… Read More

Moving to Action

Blog Administrator | Address Quality, Analyzing Data, Analyzing Data Quality, Data Cleansing, Data Quality, Data Quality Assessment | , , , , , , ,

By Elliot King

The first step in a data quality program is to assess your data. Whether you opt for data profiling or some other assessment mechanism, this part of the process consists of systematically identifying exactly where the problems can be found in your data sets.

While assessment is obviously the first step, it should be just as obvious that
it can’t be the last.… Read More

Reducing Data Quality Risks

Blog Administrator | Analyzing Data Quality, Data Management, Data Quality | , , , , ,

By Elliot King

As Donald Rumsfeld, the former secretary of the defense once famously said, “there are known unknowns and there are unknown unknowns.” In other words, somethings we know we don’t know and consequently we can do the research to learn what we need to know. But other times, we don’t even know what we don’t know. Unknown unknowns present real risks, as Rumsfeld sadly learned.
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