In-Place Data Management with the ZL Platform
Traditional governance means endless copies, rising costs, and added risk. In-place management changes the game—no archives, no duplicates, just full control. By extracting the document’s essence for search and analysis, it enables seamless classification, retention, and defensible deletion at the source.
With the ZL Platform, enterprises can enforce policies, protect sensitive data, eliminate ROT, and cull data for AI and Analytics—all without making a copy.
In-Place Data Management Key Benefits
Unified Information Governance at Scale
With in-place management, governance happens at the source—no duplicates, no unnecessary storage costs. Designed for massive scalability, ZL Tech seamlessly manages global data across regulatory landscapes, enabling both local control and enterprise-wide oversight.
Global Search
Full-content indexing enables comprehensive global search, supporting compliance tasks like data access requests, records searches, and eDiscovery, while also enhancing governance, analytics, and AI initiatives.
A Virtual Data Lake
Unlock the full potential of enterprise data with lightning-fast search and analysis—1,000X faster access to insights. No more sifting through a sandbox when you can harness the entire “beach” of data.
Audit Trails and Defensible Deletion
With in-place management, defensible deletion happens directly at the source—no unnecessary copies, no added risk. A unified policy framework ensures compliance across record-keeping, privacy, eDiscovery, and regulatory requirements, while detailed audit trails capture what was deleted and why. The result? A clear, defensible record that satisfies legal and regulatory scrutiny.
Archive only what’s Necessary
By selectively retaining high-value records and legal hold data, organizations can streamline their data management, ensuring compliance while avoiding unnecessary duplication and maintaining efficient governance.
Fuel AI and Analytics
Search and cull data across the enterprise while ensuring governance, risk, and compliance. By extracting the core content of documents and messages directly from the source, a streamlined data feed for AI and analytics is delivered—without unnecessary duplication.
Trusted by the Best
The ZL Platform delivers in-place data management to meet corporate requirements for information governance without the need for archiving or reingestion. This completely new paradigm reduces risk and cost dramatically by unifying all governance functions, including privacy, compliance, and eDiscovery under a single platform
Frequently Asked Questions
What is in-place data management?
In-place data management is the ability to govern, analyze, and act on enterprise data where it already resides, without moving or duplicating that data into a separate repository. This approach helps organizations reduce migration costs, prevent data sprawl, and improve control over large-scale data.
How does in-place data management support analytics and AI projects?
In-place data management supports analytics by helping organizations surface and classify relevant information across repositories without first moving and centralizing every file. This allows teams to improve visibility, support investigations, and build more accurate data foundations for reporting and AI initiatives.
How is in-place data management different from traditional archiving projects?
Traditional archiving projects often require large-scale data movement and duplication before governance value is realized. In-place data management starts by applying visibility, classification, and control where data already lives, which can shorten time to value and reduce disruption.
How does in-place data management reduce costs?
It lowers costs by:
- Eliminating duplicate storage systems
- Reducing data migration efforts and cost
- Decreasing infrastructure and maintenance expenses
- Streamlining operational workflows
How can organizations get started with in-place data management?
Organizations can begin by assessing their current data landscape, identifying pain points (such as data silos or compliance risks), and adopting a platform like ZL Tech that enables governance and analytics without data movement.
