Winning Interactions Configuration (intelligence in CODW)
This section describes the INTELLIGENCE DataSet (part of number 3 above).
It is a component of the Boxalino Open Data Warehouse (CODW) Module
Tables Overview
Boxalino intelligence tables are stored in the [ACCOUNT_NAME]_intelligence dataset.
Group | Tables | Label | Description |
---|---|---|---|
WPOs | Strategies | the configured strategy for every widget of every WPO | |
| Use Case Configs | Use case configurations applying for several widgets | |
Marketing | Campaigns | Marketing campaigns with target, banner and landing page information | |
| Narratives | Narratives (layouts definition) | |
| Layout Block | Layout Blocks (library of templates available for narratives) | |
Merchandising | Facets | Filtering options with visualization parameters and context | |
| Response | Special additional data added to the response of the API in specific cases | |
| Sitemap | Sitemap url definitions | |
| Segment | Segmentation defined and to be used by the different strategies and other configurations | |
| Rules | rules to change the order of the returned items in specific cases or types of cases | |
| Request Rules | changes of the parameters of the request sent to Boxalino API | |
| Heuristics | Business rules defining specific behavior modifying the selection and ranking of the returned items | |
Data | Data Enrichments | Rule-based definition of additional data to be added as new item properties | |
| Data Owners | A specific entity (often representing a person of authority giving scores to items or segments of items) | |
| Data Owner Models | information available upon request | |
| Contents | Headless Content defined in the admin | |
| Data Correlations | Associative arrays with multiple keys and values to be loaded and accessible in the real-time platform | |
| Taxonomy | Configuration of fields (product attributes) either as way to define labels and other meta-data of existing fields or to define new fields | |
| Data Processings | Configuration of BigQuery Processing that should be used in the Data Science Ecosystem processes | |
User Management | User groups | User groups having access to the admin | |
| Users | Users defined and their connection to the user groups | |
| User group accesses | specific accesses defined for each user group | |
Advanced | 3rd party push | configuration of data processing involving 3rd party environments | |
| Resources | similar to correlations, but without any associative key, only general data to be made available in real-time | |
| Models | Models of Use-Cases used in the configuration of widget strategies | |
| Template Resources | configuration of advanced template variables (to be used in narratives of heuristics, among other places) | |
| AI Automation Activation | activations of ai-automations which indicate that a special type of AI should be active for this account | |
| Ai Automation | a certain type of ai automation which can be defined for accounts | |
| Endpoint | configuration of the request structure of the Narrative API endpoint | |
| Journeys | configuration of the narrative container structure | |
| Data processing Models | Models of configurations of Data Processing | |
| Automated Requests | requests that should be run automatically for unit testing | |
Others | - | all the account configuration versions (a new version is created after each publish), only the data of the current versions are available in the other BigQuery tables | |
| - | Storage of requests and its last response from the thrift API |