Mastering Your Enterprise Data Landscape

Requirements
  • Headquartered In: USA
  • Contact Country: USA
  • Company Size: 1,000+ Employees
  • Industries: All exclude Military
  • Titles & Job Level: Security, Architect, Enterprise Architect, Data Architect, Cloud Data Architect, Risk and Compliance, Security, Privacy, CISO, CIO, CDO, CCO, DPO, CPO Influencers and Decision Makers exclude System Integrator
  • Titles: & Job Level: IT Infrastructure, IT Operations, CFO Manager+
Overview

In today’s business environment, data and application sprawl have become the new normal. In fact, enterprise data volumes are skyrocketing by 60% or more per month. As the data grows, so does the risk of breaches, thrusting organizations into a relentless struggle to effectively manage their sensitive information.

The lack of visibility into sensitive data poses a formidable obstacle for organizations, exacerbating financial risks associated with breaches and complicating compliance efforts amidst ever-evolving privacy regulations. To confront these challenges head-on, organizations require advanced methodologies that offer a cohesive approach, seamlessly integrating data discovery, classification, insights, protection measures, usage monitoring, and lifecycle management.

Does this scenario resonate with your organization? Research indicates that the C-suite tends to agree that getting control over their data is a top priority, especially in the cloud.

Top reasons our community cites for adopting or considering this solution:

  • Understand your data risk and gain unprecedented visibility. Uncover the blind spots and gain a comprehensive view of your data landscape, laying the foundation for robust security measures.
  • Apply protections for secure information sharing. Unlock the power of secure data sharing without compromising on protection, fostering collaboration across your organization and with third parties.
  • Safely manage your data lifecycle for privacy compliance. Navigate the complexities of privacy compliance with confidence, ensuring your data lifecycle aligns seamlessly with regulatory requirements.
  • Adopt an end-to-end approach to data security, privacy, and governance. Explore comprehensive strategies addressing the entire spectrum of data challenges, from data discovery and protection to privacy and governance.
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