Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

Data integrity is an ongoing concern across all R&D organizations, no matter what part of the research lifecycle they’re navigating. These concerns extend beyond the potential for delayed timelines or ...

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion. Data governance was on ...

The Indiana Management and Performance Hub is focusing on governing with data. (Screenshot) In Indiana, data-driven governance is transforming how the state addresses complex challenges and improves ...

For more than 25 years, my work has revolved around one guiding principle: quality. In the life sciences sector, safeguarding data integrity, compliance and ethical practices has never been optional.

Data fabric is a powerful architectural approach for integrating and managing data across diverse sources and platforms. As enterprises navigate increasingly complex data environments, the need for ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

CIOs say the role is evolving. Those who can drive a transformation in people alongside technology will separate their ...

In the increasingly complex world of asset management, data integrity is paramount and underpins all facets of operations – from decision-making to regulatory compliance and investor satisfaction. As ...

The pharmaceutical industry’s approach to data integrity has been historically manual, leveraging physical documentation and potentially unreliable paper-based ...

As organizations worldwide recalibrate their operations in the wake of unprecedented change, remote work has emerged not ...