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	Data Repositories

With Newmetrics CENTREfuge, you can integrate data from multiple systems in batch and real time to create and load high-performance databases, data marts and data warehouses. CENTREfuge provides a powerful, easy-to-use, platform for building and managing data repositories – from simple to complex.

CENTREfuge is built upon a configurable architecture that allows the implementation to be scaled to meet the requirements of an evolving organization. Smaller, less-complex companies may very well only require a simple database – while larger, more complex organizations (ones with multiple contact venues, services types, etc), may well benefit from a full fledged Data Warehouse utilizing multiple data marts.

The CENTREfuge architecture conforms to a classic corporate information framework for enterprise data management. Normalized source data feeds into a staging area, which in turn links to subsequent storage regions. The first area, the data warehouse, is the master repository for all potentially pertinent data. The second is the operational data store, which is home to detailed operational data. Finally, the architecture provides an area for architected data marts, available to managers and supervisors. These data marts are designed to contain all the data needed to answer specific operational questions – they conform to role-based data requirements and access restrictions.

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The graphic above shows data flowing into and out of the CENTREfuge system. Once data is received, the first stage requires transformation. Data is pre-processed to determine whether it is useable in its current format – in other words, to determine if the data is clean or dirty. This step is helpful at implementation time when analyzing and debugging legacy data to determine how to efficiently migrate the pertinent information into the repository.

At run time, if data transformation can be used as an executable step in the data conversion process; minimum threshold of data quality is determined that decides which data can be placed in the data repository. In this scenario, the step serves as a validation gatekeeper that “watches” to ensure that no dirty data is acted upon.

The next step is to convert data into a format that is useful. The objective is to take a massive variety of data and aggregate, cleanse, and transform it into the format needed. Usually, this data can be moved into internal performance applications either directly or through an intermediate mechanism.

What to look for in a Data Repository:

A highly scalable platform
Data Normalization and Mapping
Data repositories should be OPEN
Connectivity Options
Data Management and Growth

Data Marts

Newmetrics’ integration solution enables customers to set up data marts, providing the ability to take data from disparate data sources and consolidate pertinent information into role-based data stores. Whether your data resides in legacy applications, relational databases, unstructured reports, electronic messages, or even in a proprietary form, CENTREfuge can help you achieve a centralized view of your important operational data and maintain need-to-know access restrictions.

Data Warehouse

CENTREfuge establishes a business intelligence platform as the first step toward creating a centralized data warehouse that incorporates all global data. The broader goal is to provide transparency into the business’ operations, which would support both daily operations and long-term decision making.

CENTREfuge includes predefined data models, making the job of setting up a data warehouse easier. If you ask people what reports they want, they have problems in providing exact answers. But, with the predefined models in the CENTREfuge data warehouse, users are given a framework that they can modify to meet their particular needs.

Have a question about Newmetrics CENTREfuge?
Contact us at sales@newmetrics.com and we’ll show you how CENTREfuge can help you realize a data repository strategy that meets your particular business needs.

Data Repositories