DataGenicGroup | Data Management

Data ManagementThe foundation for critical information

At A Glance

Object oriented data model
Syntactic and statistical validation components
Extensible and configurable data integration platform
Data enrichment components
Full workflow and data notifications

Clean, consistent, timely and efficiently managed market and reference data is the essential component of every operational process. Any problems with the core reference data ripple throughout the enterprise, increasing cost and risk while jeopardising service reputation. Regulation and competition are forcing traditionally product-centric and product-siloed firms to adopt a centralised data management approach. DataGenic helps its customers' transition from disparate silo data environments to consolidated enterprise-wide business views to support operations and decision making.

"DataGenic helps to put in place a company-wide reference-data environment for all data types"

The process required to enable disparate data sources to share information is often referred to as Enterprise Data Management (EDM). The DataGenic EDM product suite delivers and manages the data needs of an organisation on a single integrated data-consolidated platform. DataGenic helps to put in place a company-wide reference-data environment for all data types.

The DataGenic flagship product, Genic DataManager, is a powerful and flexible data management system which provides a controlled framework for the acquisition, processing, validation, management and distribution of complex usage data.

Data Structuring

Due to the complexity of enterprise data that companies have to deal with, the conventional use of relational databases may not be optimal to fit the needs of businesses to manage and perform complex analysis of multi-dimensional data.

Genic DataManager provides a flexible and dynamic model that is agnostic to the data entity. Using Object Oriented Data (OOD) modelling and a Windows-based interface, data managers can quickly and easily model and manage any data type. Further, any data model changes can be auctioned, without a change request and impact analysis survey. It’s simply done in seconds!

Ability to store the following types of data in a model:

String value
Number
Boolean (Yes/No)
Date
Document (XLS, DOC, PDF etc)
Collection (of Properties)
Price Time-series
Numeric Time-series
String Time-series
Date Time-series
Boolean Time-series

Ability to reference other models to create model relationships

Data Quality

The quality of the data in any system is critical to its use – “garbage in, garbage out”. DataGenic performs extensive quality checks on managed data services, provided by Genic DataHub. These include syntactic and statistical checks. All components used by the DataGenic quality team are re-usable and provided to clients for custom data feeds.

Syntactic checks made include: Data file not available, empty data file, template missing etc. Statistical data quality checks include spikes, zero values, negative values, percentage deviation, etc.

Data Integration

Extensible component libraries empowers the client from day 1 to ensure fast responsiveness to business needs with minimal effort and lower costs.

Collect data from multiple locations including: HTTP, File-based, Relational Databases, Time-Series
Transform semi-structured or unstructured forms such as CSV, XLS, HTML, PDF into standard XML format (pre-transformation process)
XML translation process from Standard XML to Genic GDMX format ready for either loading into Genic DataManager or for further processing, including data validation (profiling) and data enrichment
Organise, schedule all processes via the Genic Workflow

Data Enrichment

A powerful component that allows the enrichment of data using a collection of pre-defined enrichment processes, whilst allowing the ability to easily customise. The library includes Mid values, Relative values (from Absolute values) and Absolute Values (from Relative values). The ability to relate each data model/instrument to a quoting calendar provides a simple and efficient method for data enrichment.

Data Monitoring (Workflow)

Genic Workflow and BPM platform brings a highly flexible, convenient and transparent approach in the automation and management of process flows. Fully integrated with Genic DataManager, Genic Workflow enables enterprises to create and automate business processes that coordinate between people, applications, and services. By providing a flexible and robust framework for creating, coordinating, and monitoring business processes, Genic Workflow makes changing complex business processes easier, significantly enhancing business agility.

The workflow accommodates independently or combined, the workflow execution methods:

Sequential Workflow: Typically Flow Chart based, progresses from one stage to next and does not step back
State Machine Workflow: Progress from 'State' to 'State', these workflows are more complex and return to a previous point if required
Rules-driven Workflow: Implemented based on a sequential workflow; the rules dictate the progress of the workflow

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Supporting Material

Genic DataManager Genic DataManager
(Utilities) Genic DataManager
(Oil & Gas) Genic DataGrid Genic DataHub Genic WorkFlow Genic CurveBuilder Genic queryPoint Genic DataExplorer