Quorum 360 is a cloud-based multi-tenant, modern, highly scalable data management solution that supports
“Enterprise Information Management” programs for seamless, reliable data availability and reduces the risk of
HOW DOES IT WORK?
Start with Data from Multiple Data Sources
Organizations have data. Lots of it. Structured data like spreadsheets, and tables from enterprise applications. Unstructured data like emails, documents, images, social content, device and streaming data.
This data is typically stored in disconnected systems, where it is rapidly diversifying in type, exponentially increasing in volume, and becoming more difficult to use every day
The users who rely on this data don’t think in terms of rows, columns, or raw text. Instead, they think in terms of their organization’s mission and the challenges it faces. They need a way to ask questions about their data and receive answers in a language they understand.
Creating a Business Centric Unified Data Model
Working closely with the business users, we will integrate and map all of the relevant source data—regardless of type or volume—into a single, coherent model.
True schema-less as all source data types are pivoted into a standard format.
As data flows into the Quorum 360 platform, they are transformed into meaningfully defined objects and relationships: people, places, things, events, and the connections between them.
Information is Discoverable, Traceable & Searchable
Once the model has been created, data flows continuously from its sources into the
Quorum 360 platform.
Any updates to the source data are pushed to the platform, and as users build their analyses, all their actions are tracked, attributed, and stored.
Users can search across all of their data sources at once, visualize relationships, explore divergent hypotheses, discover unknown connections, bring hidden patterns to the surface, build dashboards and share insights with other colleagues
Data Definition Standards
Metadata Management with compliance to
ISO 11179 standards.
Data pre-processing & planning to support standard Data Analytics and BI tools.
A dynamically structured data model that allows different questions to be answered (RDF).
Federation of data by bringing all data to its atomic level (the triple!).
Extract, load and then allow multiple transforms rather than extract, transform and then load.
Powerful graphical UI that allows users to graphically explore data.
Data Cataloguing that allows entity resolution, data mapping to discover new relationships and standards.