An email archive program is no longer just an IT storage project. In regulated enterprises, it is a compliance-critical governance system that determines whether your organization can pass audits, respond to subpoenas, and safely use communications data for analytics and AI. An email archive program governs how messages are captured, preserved, searched, and produced. Federal […]
Customer Experience Management (CXM) is the practice of managing every customer interaction using data, analytics, and AI to deliver consistent, personalized, and trusted experiences across all channels. Key Takeaways CXM is about managing the full customer journey. Data is the foundation of great experiences. AI enables personalization and automation. Privacy and governance are critical. Solix […]
What does archiving an email do? It copies inbound and outbound email (plus attachments and metadata) into a secure, indexed repository so the business can search and retrieve messages fast, retain records for required periods, place legal holds, produce evidence for audits and eDiscovery, and support defensible deletion when retention expires. Key Takeaways Email archiving […]
I’ve been in the Information Lifecycle Management space since my days with Princeton Softech, and then IBM Optim. Way back then there was a misunderstanding about Backups really being a proxy for Archives. They aren’t. I’ve recently gotten some feedback from our field teams that this notion has not disappeared over the years. As you […]
As we enter a new year, I’ve been reflecting on a question nearly every CEO, CIO, and CTO is grappling with today: Over the past two years, enterprises have invested heavily in AI pilots—chatbots, copilots, dashboards, and proofs of concept. Yet many leaders are realizing that AI bolted onto legacy architectures does not deliver transformation. […]
Problem Overview Enterprise data archiving has historically focused on cost containment, regulatory retention, and application performance optimization. Platforms such as Informatica Data Archive emerged during an era dominated by on-premises systems, batch processing, and structured data workloads. For many organizations, these solutions provided stability and compliance at scale. Today, enterprise data environments have changed materially. […]
