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.
View Post

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?…
View Post

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…
View Post