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Data Acquisition and Repositories

 

Since 1992, Edgewater Technology has been providing clients with the necessary knowledge and experience to successfully integrate data from the most complex systems. With proven methodologies, Edgewater has delivered data integration solutions that have enabled organizations to access, integrate, transform, and deliver enterprise data from any source.

Historically, many projects fail to meet their objectives due to a wide range of issues. These issues typically stem from the failure of the data integration infrastructure to meet overarching business requirements. These issues include:

  • Dispersed, hard-to-access data sources. Integrating data from silos dispersed in a variety of locations has a significant impact on any project.
  • Data refresh. Significant time and effort is spent to manually gather data and conduct analysis.
  • Performance and scalability. Many projects simply fail due to the increasing volume of data and the smaller time windows to integrate the source data.

Extraction, Transformation, and Load (ETL), Enterprise Application Integration (EAI) and Enterprise Integrated Information (EII) approaches and technologies are an essential part of uniting disparate operational systems for use in a Reporting environment.  They streamline integration of data from many distributed sources, while providing standardized access to integrated data views. The Data Acquisition process is responsible for extracting data from the operational systems – either in near real-time or batched at regular intervals.  The transformation or integration process converts the data from each system into a common representation.

Data Acquisition technology addresses the challenges that arise when creating a central reporting repository from several source systems.  Developing a single, consistent view of the data that exists in multiple systems requires data to be altered or transformed into a common format, also known as cleansing.  Data cleansing ensures differences in data among systems storing the same data are reconciled.

The Complex Data Integration required to transform data to a common representation is frequently the most costly portion of a BI implementation.  Edgewater Technology has the necessary experience with definition process and technologies to minimize the cost and time needed to build your data warehouse.

If you require the ability for improved reporting, query and analysis, analytic applications, and overall performance management, then leverage Edgewater’s expertise to provide your organization with the ability of greater data integrity and Information Technology (IT) efficiencies.

 

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