Marketing’s potential to deliver results relies on data quality, but data accuracy, consistency, and validity continue to be a challenge for many organizations. Inconsistent data quality is holding ...

Data is vital to doing business today, and that goes double for lending providers. Get it right and your company has the power to boost effectiveness and tailor its services to client needs. Get it ...

Marketers suffer from a variety of negative consequences stemming from poor-quality data that collectively drains marketing resources and limits effectiveness. Wasted media spend is the most ...

Data lays the foundation of modern B2B operations. It shapes everything starting from routine workflows to long-term strategic decisions. Yet, managing data quality remains the most persistent, yet ...

More than three-quarters of business leaders say they’re under growing pressure to drive business value with data, according to a Salesforce report, but many leaders say their data is often outdated, ...

Poor data quality can damage your reputation and hamper your business. Here are strategies to help you detect, correct and prevent bad data. Between responding to supply chain disruptions, pivoting in ...

How prepared are businesses to take full advantage of the insights that artificial intelligence affords? The tools may be ready, and talented people may have come onboard, but it’s likely there’s a ...

Government departments struggle to work together due to a lack of good quality data and IT systems that are unable to communicate with each other, according to a Public Accounts Committee (PAC) report ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more A few years ago, IBM reported that ...

Poor privacy=data breach as reported by Osano was proven July 15 when Twitter was hacked and 130 accounts–including Joe Biden’s and Kanye West’s–were exposed. There’s a direct correlation between a ...

Artificial intelligence is only as strong as the data behind it. Healthcare leaders are working with their teams to build the infrastructure, governance, and culture necessary to support AI at scale.