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.
Better Data Hygiene: A Recipe for Success
Customer data is often a brand’s most valuable resource. Frequently thought of as the “oil of the digital era”, clean, reliable customer data is the key to forming a relationship that extends beyond that of your competitors. It’s the lifeblood of a company, but cleaning dirty customer data and maintaining data hygiene can be a costly and complex…
9 Questions to Ask Before Buying Matching Software
What goes into data matching software? Feel confident about your investment, with these 9 questions to ask.
How Legacy Data Matching Solutions are Failing and What to Do About It
Everyone promises AI-infused solutions these days. But do you know what a truly “intelligent” data quality solution really looks like?
Why Data Unification Matters to Every Marketer
Customers today are interacting on multiple channels before making a purchase – how much money are you leaving on the table?
3 Common Myths About Data Quality
The data quality role is once again ranked as the most important full-time role staffed in the CDO’s office. But despite the importance CDOs place on data quality, little has been done to actually solve the issue. Data quality has always been perceived by organizations as a difficult thing to achieve. In the past, the general opinion has…
How to Create a Business Case for Data Accuracy Improvement
Create a compelling business case in just five steps. For most successful enterprises today, data has asserted itself as a valuable asset and wielding it is a true differentiator. Making effective use of that unique pool of information is recognized as the key to drawing out ahead in a highly competitive digital world. Yet data has an Achilles…
16 Patterns Seen in Companies Struggling to Evolve into Data-Driven Cultures
Data is one of a company’s most valuable assets, but tapping into the full potential requires a shift to a data-driven culture. A shift from ‘Selective Data Empowerment’ to ‘Collective Data Empowerment’. Step back and think about a challenge your company faces. Who among your colleagues knows the most about it? Who has the most experience with it?…
How GDPR Changes the 1-10-100 Rule
The 1-10-100 rule is a quality management concept used to quantify the hidden costs of poor quality. Think of it as Moore’s Law applied to data quality. This rule has stood for nearly 30 years, but with GDPR now enacted it’s outdated. Read how on 360Science.com.
How to Make an AI Project More Likely to Succeed
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…
