
Project Summaries
For over 25 years, Imaginet has been at the forefront of the software industry as a globally-recognized premier consulting and software development company.
Re-Designed Reporting Solutions Improves Data Accuracy and Auditing
A provincial agricultural services corporation was experiencing challenges with its reporting solution. They were starting to use Power BI to replace operational reports that had previously used data from a DB/2 operational database. With data often duplicated and limited staff…
Correlating Financial Data With Donor Data Enables New Insights and Analysis
Improve policy management process with search and automation technology. Streamline data entry, quickly identify policy conflicts, and improve accuracy with simplified administrative processes. Get started today and experience the benefits of improved policy management.
Universal Source of Pricing Solution Provides Data Integrity and Standardization
A well-known consumer packaged goods (CPG) company specializing in pet food contacted Imaginet to construct a Universal Source of Pricing (USoP) solution to improve data integrity and audit quality. The existing system was complex and utilized Microsoft Excel workbooks to…
Data Consolidation Elevates Reporting Structure & Business Analysis
The largest oil producer in Manitoba (and long-time partner) contacted Imaginet to implement a unified data warehouse. They needed to report on data from several sources, including PVR (oil production volume reporting system), InterSystems IRIS (financial data system), P2 Qbyte…
Refined Data Quality and Process Enhancement Streamline Reporting
A global investment manager, asset manager, and service provider contacted Imaginet to help them enhance their data quality and processes. They had numerous data quality issues and relied on a manual approach (using an on-premises system and Microsoft Excel) to…
Robust Data Warehouse & Training Improve Data Management & Processes
The fundraising division of a Canadian university was having issues building reports from their donor management system and needed assistance. Complex data structures from Raiser’s Edge made it difficult for them to build a foundation to move forward and adapt…
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