Palantir Foundry

An ESG reporting project for an insurance client including automated data ingestion for seamless integration of reporting-relevant metrics and their values.

Robust data processing capabilities ensure quality checks, validation, and historization for data integrity and reliability. The system features intuitive dashboards offering an overview of metrics and values, with secure frontend access for authorized department members to sign off on metric values, ensuring data protection and traceability. Users can add notes and comments linked to specific metrics, enhancing collaboration and context. Additionally, the system enables the creation of customized reports based on selected metrics, automatically downloadable in PDF or Excel formats.

Throughout the process, adherence to corporate colors maintained consistency across all applications and reports within Palantir Foundry.

A major client bank needed to monitor cross border transaction activity to fight VAT fraud in EU. PwC's team of experts has developed a deep understanding of regulatory requirements in order to come up with a way to report on the provided regulatory requirements.

After that, the team has developed a complex data model for a reporting tool, and a group of Palantir experts has leveraged the power of Foundry to developed a system that automatically detects and reports the required transactions.

As a result of the project, the client bank now uses a fast, efficient and automated reporting tool (with an option for manual adjustment) that fulfills regulatory requirements and helps tackle fraud in the region.

Following the current trends of becoming a data-driven company, the target of our customer was to build an analytical data lake. The requirements set out by the client were to use a platform which connects technical and non-technical users and fosters their collaboration. Palantir Foundry was chosen as a suitable platform. Based on the raw data coming from the legacy systems and the input from workshops with business / IT departments, PwC built data entities within the Foundry data model that can be used for analyses and understanding customer data.

An international financial service provider planned to replace their current marketing and sales tool with Salesforce. PwC was asked to develop a solution to feed the Salesforce data model directly from the legacy systems, using Palantir Foundry as the central data hub. After analyzing which legacy systems and their corresponding data were required, a target architecture was defined and the data sources were ingested. Based on the target data model, automated pipelines were created to feed real-time data directly into Salesforce in order to send personalized e-mails to customers.

Payment and transaction data from different legacy systems was ingested in a central data lake to comply with ECB regulatory requirements. Automated pipelines joined and transformed data from different sources to aggregate the data in a standardized .csv file format, which was subsequently sent to the ECB. In doing so, the bank was able to replace the cumbersome manual query processing with an automated solution.

Our customer, a central governance team of a bank, has a regular task of collecting action plans related to immature applications across the business units in Europe. Their requirement was to have an automatized and timesaving solution for collecting and analyzing the data from various employees. For this reason, we developed a front-end automatized form in Palantir Foundry for efficient and unified data collection. One of the key points was to pay attention to the GDPR and data protection. The outcome was a user-friendly reporting tool with historization of all the submitted changes via the form.

One of our clients reporting systems was outdated and severely lacked the performance needed to operate their day to day business processes. The PwC team was tasked to come up with a suitable replacement. The new solution was an automated Risk Assessment tool in Palantir which substituted running manual queries in various systems. After ingesting the needed legacy systems, we used data transformation to calculate the risk indicators which were consequently visualized, resulting in an end to end workflow within Foundry.

The need of our client was to have a profound data repository for extracting AFC Data (transaction data, customer data, etc) on demand of the arrival of the independent consultant. PwC was in charge of requirement engineering, coordinating data ingestion and data harmonization from different legacy systems and implementing data quality checks. We are provisioning the validated data extracts on the demand of the independent consultant and answering various business and technical related questions related to the AFC data.