xPIER supports a wide range of data products, including Raw, Analytical, Predictive, and External Data Products, each designed to meet specific organizational needs. These products help maximize the value of your data, supporting efficient and informed decision-making.
Raw Data Products
The platform facilitates the development of Raw Data Products tailored to specific business functions and processes across various Lines of Business (LOBs), such as Loan Originations, Servicing, Regulatory Reporting, and Finance. These products involve ingesting data from source systems into designated zones, including the data lake, raw zone, and bronze zone. This data forms the foundational layer for subsequent processing and analysis.
Analytical Data Prooducts
Analytical Data Products are designed to provide insights through advanced metrics and statistical analyses. Examples include generating features like Loan-to-Value (LTV) ratios, Liquidity Ratios, and Customer/Product Concentration metrics, as well as central tendency measures such as mean, mode, median, standard deviations, and outlier detection. These data sets are typically organized into silver or gold zones, where they are structured into subject domains or purpose-driven datasets to support analysis and reporting.
Predictive Data Products
Predictive Data Products are developed to forecast future trends and recommend actions. For example, they can be used to predict Customer Churn, identifying who may churn, when it might happen, and what actions could prevent it. These data sets are curated for augmented analytics, providing data scientists with the resources needed to develop models that generate actionable insights.
External Data Products
The platform also supports External Data Products, which involve the acquisition or purchase of data from external sources, making it accessible throughout the organization. This approach helps to avoid data duplication and optimizes data acquisition, ensuring consistent and reliable external data resources are available across the organization.
