8 posts
Investing in Data Quality
What to Look for in “AI-Powered” Data Quality Platforms
Everyone promises AI-infused solutions these days. But do you know what a truly “intelligent” data quality solution really looks like?
Making the Right Data Quality Investment for Your Business
Making the right data quality investment for your business can be tricky, but not with these simple five steps.
How to Make an Artificial Intelligence Investment Pay-Off
A recent survey by Deloitte of “aggressive adopters” of AI found that 76% believe that they will “substantially transform” their companies within the next three years – and the companies focused on tieing AI to business outcomes are finding that AI is driving bottom-line results at a rate few had anticipated. AI isn’t just one technology, but a…
Data Quality – is “close enough” “good enough”?
I was discussing the data quality vendor landscape with a colleague the other day and he drew a very interesting parallel, an analogy about solutions and performance I hadn’t heard before. Frankly, on the surface it was almost comical—but the more I thought about it, the more I realized the significance. For some reason, too often technology buyers…
Weighing Up the Cost of Bad Data
In a recent survey conducted by helpIT systems, almost 25 percent of respondents cited finances as the biggest hindrance to maintaining superior contact databases. We get it. Data quality solutions can carry what may seem to be a hefty pricetag, and they won’t show up two days later in a nicely wrapped package like an Amazon Prime purchase. …
6 Reasons Companies Ignore Data Quality Issues
Be it lean startups or multinational enterprises, true, proper maintenance of data quality gets swept under the rug. The initial efforts put in place early-on aren’t matched with best practices in the long run. Managers may be tempted to leverage existing CRM platforms tools to try and meet the data cleansing needs – not knowing that these solutions fall sorely short of any kind of proper record cleansing. While budgets are emptied in favor of customer acquisition and advertising spend, these half-hearted attempts at cleaning house leave valuable customer records collecting dust, hidden in plain sight.
Golden Records Need Golden Data: 7 Questions to Ask
If you’ve found yourself reading this blog then you’re no doubt already aware of the importance of maintaining data quality through processes such as data verification, suppression screening, and duplicate detection.
