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 (financial data system), AccuMap (oil and gas mapping software), and WellView (well information management system). While the client had many valuable data points for current and historical perspectives, it was disjointed, time-consuming, and difficult for them to report across the different systems and see the insights that correlated data could reveal. Imaginet used SQL Server Integration Services to load and transform the data into a data warehouse hosted on SQL … Read more

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 clean, check, move, and report on their data. Sometimes it could take up to three weeks to generate a single report, causing a strain on time and resources. Our team used Azure Data Factory to move and transform the data from several sources in their on-premises databases into a cleaner and more digestible data warehouse (using Visual Studio to create and Git to store database schemas) and tabular model. We … Read more

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 over time as the business changed and software updates took place. The client approached Imaginet to develop a new data warehouse and ETL solution to integrate better with Power BI and lay the groundwork for future updates. While the Raiser’s Edge on-premises database was the primary data source, we used cloud resources like Azure Data Factory to orchestrate the data movements from the donor management system into the new warehouse. … Read more

A well-known consumer packaged goods (CPG) organization specializing in pet food approached Imaginet to implement a new cloud-based system for their consumer affairs office. Their existing on-premises environment had a local database, server, and data model that had been in place for over 15 years, and they planned to decommission the legacy server. The customer service system collected data daily from the client’s contact centre (from phone calls, emails, and the consumer web portal). Imaginet imported the call centre data, including images submitted by consumers to support their complaints, and created a user-friendly model that allows the client to produce reports. We sourced data from SharePoint Document Library files and … Read more

A prominent operator of retirement communities and long-term care homes was looking for a partner to help them clean their data, improve data flows, and centralize data sources. Their Power BI development had become complex, challenging, and time-consuming to load Microsoft Excel/CSV files every month to produce standard reports. To solve the issue, Imaginet constructed a centralized, organized data warehouse, imported the Excel files into tables, and created a Power BI model with improved performance. We used automated processes to bring files from Google Drive into Azure Storage, then used Azure Data Factory to run scripts, load, and transform the data from source files into the data warehouse (built in … Read more

GPS and Fleet Tracking Data Correlation Provides a Holistic View For Sales & Operations A national plant wholesaler that supplies retail stores throughout the United States re-engaged Imaginet to work on a data correlation project. The client has greenhouses and production facilities across the country and a network of trucks to deliver products to various stores. The trucks have been outfitted with J.J. Keller ELDs and use the J.J. Keller Encompass Fleet Management Platform to monitor their GPS locations and other key metrics (e.g., engine RPMs, speed, and braking). In the Encompass system, each retail store has a defined geofence that shows the boundaries of that location, and it can … Read more