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Data Consolidation

Business compartmentalisation tends to lead to different applications being deployed across the enterprise to address the immediate needs and future goals of individual departments. Consolidating data from disparate systems with an Enterprise Data Warehouse solution for marketing, reporting and business analytics can provide a more efficient, more accurate, more complete picture for the enterprise as a whole.

Progressive Data can load and transform your data into prebuilt table formats to meet common industry requirements.

We offer template solutions to fit most customer centric businesses and additional bespoke tailoring to individual client needs.

Benefits

Disparate data sources will be consolidated into a single data repository
More readily supports full and accurate data reporting
Provides a comprehensive view of your business
Better supports data driven business change
Improves availability and offers improved access for team working
Better data security more easily applied with a single security model for all data held
Reduces the need to learn about the workings of multiple application platforms and provides a single development environment for customisation
Standard reporting modules available

Every business has unique challenges as well as those shared with others. Progressive Data can build on the experience of tackling shared issues with energy and enthusiasm to identify and address those more specific to the client’s operation.

Data Collation Service

System Review

We will review your system; how your data is stored and used. Connectivity between datasets will be determined. Challenges in delivering a single comprehensive dataset will be explored and discussed with stakeholders.

Data Assessment

Your data will be migrated to the new structure and validated. The storage structure will be documented. Reporting will be reviewed and enhanced with the expectation of providing improved insights. Data quality reports will identify where improvements may be required with capture mechanisms and quality control. Business rules can be refreshed to help maintain accurate and complete content in the new data structure.

Planning

Progress will be by consultation ensuring the business model is well understood and the planned improvement properly reflects the business requirement and maximises the value in the information held with improved access, accuracy, visibility, and reporting.

Implementation

The implementation commences with the development of transformation rules which are thoroughly tested prior to migrating the source data. Documentation and validation reports will provide assurance the planned implementation process is adhered to and successfully completed.

Progressive Data Are Here To Help

Our experienced team are here to help.