Enterprise Data Management

Surging data sets the tempo, with global volume hitting 149 zettabytes in 2024 and racing toward roughly 181 this year, while poor quality quietly drains about $13 million per company annually, creating a double bind of more data yet less dependable decisions. Leaders across integration, analytics,

What happens when a CIO steps into a boardroom armed with a stack of IT stats, only to see executives’ eyes glaze over? It’s a scenario playing out in countless organizations, where the gap between technical data and business value leaves technology leaders struggling to prove their worth. This

What if the greatest threat to an organization’s security isn’t a malicious insider, but a silent, unchecked AI agent or bot with access to critical systems? In today’s digital ecosystem, non-human identities (NHIs) like service accounts, APIs, and autonomous AI agents far outnumber human users,

Today, we’re thrilled to sit down with Chloe Maraina, a visionary in the realm of Business Intelligence with a deep passion for crafting impactful visual stories through big data analysis. With her extensive expertise in data science and a forward-thinking approach to data management and

Picture a business world where every decision hinges on data, yet half of that data is unreliable or inaccessible, stalling progress at critical moments. This is the reality many organizations face as data complexity surges in today’s distributed environments. Qlik, a leader in data integration and

Enterprises learned the hard way that DNS can appear healthy while failover grinds to a halt, and that paradox is exactly what pushed AWS to set a 60-minute recovery time objective for Route 53 control-plane operations, reframing DNS management as a measurable recovery capability rather than a