Discovery & Analytics Integration

Advancements in data cloud, metadata capabilities, predictive analysis, open source and mobility have reshaped the data landscape, GridBank delivers a complete identity focused framework that enables full content indexing of all data to deliver powerful enterprise search & real-time analytics

Enterprise-Wide Search & Discovery

Enterprise-Wide Search & Discovery

Once data is captured, GridBank indexes and tags files and objects at the point of ingestion, enabling customers to search and discover data quicker, increasing productivity and enhancing customer knowledge.

  • GridBank ingests over 600 file types & sources & exposes content through the grid providing global access across the entire data estate
  • Google-like search map reduce model ensures simple & efficient search & instant discovery & retrieval of data
  • Custom tagging can be exposed directly to Hadoop, ingested into the grid & prepared for analytics purposes & to identify opportunities

Legal Hold & Compliance

Legal Hold & Compliance

GridBank provides data compliance functionality through policy-based preservation, retention & disposal as well as granular legal hold.

  • Litigation preparedness is made possible through the use of GridBank’s specific metadata driven discovery & legal hold capabilities
  • E-discovery costs associated with the processes to identify, preserve & present relevant data are significantly reduced through GridBank
  • Legally defensible retention & disposal policies through GridBank’s centralized management controls business risks

Integrated Big Data Analytics

Integrated Big Data Analytics

GridBank offers querying of the MetaBase repository allowing big data analytics toolkits to inspect the distributed metadata repository, enabling data-in-place analytics.

  • Hadoop integration for business analytics & intelligence for real time data processing to provide deep customer insights
  • Flexible data reporting, dashboarding & graphical representation of data delivers improved customer understanding
  • Supports scale out structured database models & in-memory data, allowing for creation of scalable object data warehouse approach to data management