Data management is the process businesses use to gather, store, access and secure data from various platforms. Managing this information properly helps organizations utilize data analytics to gain ...

Data management tasks, including data integration, transformation and governance, have always been significantly important for operational and business intelligence purposes. But the need for these ...

Chargebacks erode margins, increase processor scrutiny, and introduce friction. Learn about chargeback management best ...

Data masking and anonymization solutions are used by organizations to safeguard sensitive data by removing personal ...

Looking at where the problems come from, Donzé suggests that many of the core data issues faced by businesses today stem from ...

PDF Agile is designed to help business owners handle those documents more efficiently. It brings editing, converting, signing ...

Most organizations still lack full visibility into where their sensitive data resides or how it’s exposed. Building that ...

Are Cybersecurity Teams Ready for the Era of Non-Human Identities? The digital transformation has introduced numerous complexities, especially in cybersecurity. One of the emerging topics is the ...

HIMS deepens its AI and data strategy with personalized care tools, biomarker tracking, and smarter treatment matching.

Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

Artificial intelligence continued to have a big impact of information management in 2025. Also selected are case studies and CDO interviews that show the enduring value of good data management.