Customer Company Size
Large Corporate
Region
- America
Country
- Canada
Product
- Adverity’s data integration
- Adverity’s AI analytics modules
- Google BigQuery
- Google Data Studio
Tech Stack
- Data Integration
- AI Analytics
- Data Warehousing
- Data Visualization
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Predictive Analytics
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- Automotive
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Quality Analytics
- Predictive Replenishment
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
About The Customer
iProspect Canada, a dentsu company, is part of a global digital-first end-to-end media agency network. The agency is specialized in accelerating growth through performance-driven brand building for some of the world’s most iconic brands. They are focused on delivering greater value to clients, based on data. They were employing a lot of manual work on harmonizing data from various data sources and were looking for ways to standardize and automate their reporting processes. They wanted to promote the value of being data-driven among account managers and other decision-makers within the agency, building what’s important and relevant for the whole organization.
The Challenge
iProspect Canada, a performance-focused media agency and part of the dentsu global network, was looking for ways to deliver greater value to clients, based on data. They were employing a lot of manual work on harmonizing data from various data sources, the first challenge was to standardize and automate their reporting processes. This process would include going to each of the platforms, extracting reports and CSV files, and combining them in Excel. This was very tedious and time-consuming, so they wanted to remove this manual segment and move towards a more efficient, automated data environment that would save time, but also let the data speak for itself. With a proper infrastructure in place, they would then need to work out how to get the most valuable insights from the data in the most efficient manner possible.
The Solution
iProspect turned to Adverity to firstly integrate client data and then draw out predictive insights using advanced, AI-powered analytics. For many of the agency’s clients data from multiple sources is now integrated and harmonized with Adverity, stored in a Google BigQuery data warehouse, and sent to Google Data Studio for visualizations and reporting dashboards. Establishing standardized reporting was particularly difficult for one of the clients, the already referenced automotive group, due to the unusual reporting formats coming from certain data sources, such as Sizmek. Nonetheless, with the data transformations available in Adverity, the team at iProspect was able to successfully import these reports and harmonize them with data from other sources. This was a considerable win, since the client had previously been unable to achieve this on a global level, even with the help of their other agencies and technology partners.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.

Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).

Case Study
Monitoring of Pressure Pumps in Automotive Industry
A large German/American producer of auto parts uses high-pressure pumps to deburr machined parts as a part of its production and quality check process. They decided to monitor these pumps to make sure they work properly and that they can see any indications leading to a potential failure before it affects their process.