Key Takeaways: Data enrichment is the process of appending your internal data with relevant context from additional sources – enhancing your data’s quality and value. Data enrichment improves...
Key Takeaways By deploying technologies that can learn and improve over time, companies that embrace AI and machine learning can achieve significantly better results from their data quality...
Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach...
Over the past century, how consumers engage with physical bank branches has changed. In today’s digital-first economy, allowing customers to interact through their preferred channel is...
Virtually every business on the planet captures and stores address information. Ostensibly this data enables you to ship items or send mail to customers and prospects, to correspond with suppliers,...
Consumers kick-started the year by building more health-focused habits, with nearly a 5% increase in visits to gyms and grocery stores, while interest in less healthy options like convenience stores...
Your competitors use data to target your customers, discover unmet needs, and explore new markets. If you’re not using data to your advantage, you risk falling behind the rest of the pack. In a...
You’re likely familiar with the oath witnesses must take to tell “the truth, the whole truth, and nothing but the truth.” It’s clear why “the whole truth” is included in that promise....
As companies strive to make the most of their data and advanced analytics, front runners are discovering the unique value of physical location. Virtually every data point available has some kind of...
