Prior to the launch of a new model of iPad, the client wanted to upgrade the ability to allow the users to select and adjust their plan features and network settings from an iPad application to allow more intuitive use and greater customer satisfaction. A key issue was completing this work within a tight deadline as the client wanted the software available prior to the model launch date.
We provided an experienced senior IOS developer who led one of the sub-teams on the engagement providing direction to the team and also carrying out some of the trickiest coding personally and overseeing the integration of the team elements into the overall application.
The project was completed on time to assist in supporting the new model launch. Client satisfaction with the application was high.
The client needed to replace a system that provided job site access to current job and labour costs for over 2,500 projects and which allowed site users to update cost to complete estimates. The system needed to pull information from the Microsoft GP Dynamics system and present large amounts of information in both summary and detail form.
Prodigy developed a web based solution using an MVC framework and an advanced Telerik control grid. Both row and column expansion capabilities were built into the grid as well as in-line editing and hyperlinking to secondary information presentation grids. As well as an Excel like grid, the application also provided several key measures in graph form. The system maintained the information retrieval queries in a table to allow for easy modification and potential adaptation to a new financial system as necessary.
The system allowed the client to expand and extend their review and forecasting processes. The system has been fully implemented and has improved information flow for both job site managers and the accounting department.
The client wanted to create a series of specialized data lakes to make operational data more accessible to the business.
Prodigy provided both team and individual resources to support client’s enterprise data lake build out, including the data ingestion, ETL and cloud aspects. Data architect, HADOOP and ETL specialists were provided in support of this on-going multi-year project.
This is an ongoing project that has continued for over three years adapting to changing requirements.
This startup is dedicated to the capture and analysis of digital advertising data for its clients. Tags embedded in the clients’ ads capture data concerning the user device and sites from which the ads are presented. This information is later connected to data from the company that “served” the ads and data from users who visit the client sites. This information is analyzed to identify factors that lead users to visit the client site and make purchases.
Prodigy developed a series of tags that can be embedded in the clients’ ads and sites and developed MS SQL and Hadoop processing routines to download, process, connect and store the information collected from these tags. After initial processing Azure Cortana machine learning analytics are used to identify factors that lead to conversion and predict behavior using this data.
The system processes some 40 million digital ad impressions per month and is providing valuable insights to the startup’s clients concerning more effective delivery of digital advertising.
