Four Uses of Cross-Case Analytics


One of the most exciting areas for new learnings and innovation is leveraging Rampiva to create a centralized repository of metadata about Nuix Case Items. This allows teams to gain insights that have previously been unavailable.

As data processing itself becomes standardized, teams compete based on how they use that data to find value.

Here are four ways we think teams can find value from analyzing data across Nuix Cases:

  1. Litigation Management. Different matters will often require collections from the same custodians and date periods. As such, attorneys can gain speedy insight into the facts of a new matter by reviewing in-scope items that were already processed for another matter.

Rampiva Automate ensures that item metadata is accurately rendered for all cases, in real time.

And, by freeing people from the grind of processing data, teams actually have the energy to spend doing this work.

  1. Data Mapping. Information Governance teams have always known that eDiscovery teams could provide valuable detail on the concentration of ROT in various systems. By centralizing item metadata in real time, organizations can maintain a “snapshot” of item age, PII/PCI, and search hit concentration.

This can help focus data cleanup efforts and policy training, which makes it easier for teams to take real action with limited budgets.

  1. Risk Management. At the end of the day, people are the biggest security and regulatory risk for any enterprise. But, it can be difficult to provide feedback to specific people (or departments) to reinforce good data management.

By flagging specific information governance policy violations over time, the Rampiva Automate database can be a rich source of material for identifying worst offenders—and, showing them the pattern.

  1. Operational Optimization. The flip side of these examples is the very tactical application: Using Rampiva Dashboards to track, and optimize performance across the entire department. For most departments, the essential KPIs are:
      • Speed to Review 
      • Throughput by Task
      • Total Cost of Ownership
      • Marginal Total Cost per Gigabyte

Understanding these trends, and how they change across different types of projects, can provide essential insight for teams looking for a competitive edge.

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