ODIN Modules

This module is used to connect with OpenAI’s API. This allows OpenAI’s artificial intelligence model to answer questions or make changes to your data. For example is can help with data validation or calculate and create new columns, or even provide insight into your data. It returns its insights as well as an updated dataset if needed. Different models can be used depending on your preference.

This module is used to read data from an Oracle® relational database. The data can be imported by using a query or procedure. Procedure or Query parameters can be defined in a setting or setting file. ODIN will then execute the procedure or query for each set of parameter input.

This module is used to write data to an Oracle® relational database. The data can be exported by using an insert/update query or procedure.

This module is used to convert a formatted date text column to a date column.

This module gives the user the ability to read text in from a PDF file by selecting tables and then columns of data to be read into a table format.

This module is used to merge PDF Files.

This module is used to write data to a PDF document. The output of a ODIN process can be written out to a presentation-ready PDF document.

This module is used to run holdings based performance attribution. This modules delivers the world’s first no installation (plug & play), comprehensive and flexible performance attribution capability to any firm. The module supports both daily and monthly attributions. Using the other ODIN modules, firms can have comprehensive performance attribution capabilities in matter of days. It also supports multi-currency attribution by leveraging the FX Conversion module. Supports long only and long/short...

This module is used to read data from a PostgreSQL database. The data can be imported by using a query or procedure. Procedure or Query parameters can be defined in a setting or setting file. ODIN will then execute the procedure or query for each set of parameter input.

This module is used to write data to a PostgreSQL database. The data can be exported by using an insert/update query or procedure.

The PythonBridge module provides a seamless integration between VIA’s Java data pipeline and external Python scripts. It allows datasets prepared in VIA to be serialized as Apache Arrow/Feather files, passed to Python for advanced analytics, and returned back into VIA without manual data handling.

This module allows the user to import and export data to R as part of an ODIN process. A translation is made between Opturo’s TableSet data type and R’s data frame data type. This allows to take full advantage of R’s wide range of statistical and graphing capabilities as part of a larger ODIN process.