What's new in IBM Cúram Social Program Management 7.0.7

IBM Cúram Universal Access

New navigation hook for IBM Cúram Smart Navigator

IBM Cúram Smart Navigator is a feature that enables quick navigation to predefined persons, pages, or tabs. You can use the new navigation hook to intercept navigation and insert custom processing between the click of a result and navigation to the related page. For example, you could use custom processing to display important information to the caseworker that, otherwise, might be bypassed. For more information, see Navigation hook and Implementing a navigation hook.

Enhanced evidence sharing documentation

The documentation has been updated to describe in more detail how evidence sharing occurs as part of the intake process based on case participant roles and sharing from other cases. In particular, the documentation now explains what happens when a case member is added to an application case, and further sharing of evidence that is normally initiated when evidence is activated is bypassed. Evidence is subsequently shared onto the integrated case only after the application is authorized. For more information, see Evidence sharing triggers.

The documentation also now describes how tasks are generated when the appropriate action cannot be applied to the evidence after the evidence is shared to a target case. For more information, see Generated tasks.

IBM Social Program Management Data Extractor

The IBM Social Program Management Data Extractor is a new tool that is available for use in IBM Cúram Social Program Management version 7.0.0. or later. The Data Extractor makes Determinations data available in a format that can be used in a data warehouse with analytic tools. Determinations data stores the display rules data that the caseworker application then uses to present and explain eligibility outcomes to caseworkers. Determinations data is also used for eligibility and entitlement reports. Determinations data is stored in a compressed format in the Social Program Management database, which makes it difficult to extract to use in reports. However, the Data Extractor makes it easier to retrieve the display rule attributes of a product rule set from the Determinations data.

To extract the data from Determinations, the Data Extractor supports the following three extraction formats:

• XMLFlow extracts all display rule attributes from the compressed determinations format into a new table in the data warehouse. This option does not require configuration to specify the attributes to extract. The output is in XML format, which can be queried by tools such as XQuery.
• CSV FilterFlow extracts a configurable, specific set of display rule attributes in .csv format, which is a common format that is used to display extracted data in analytic tools.
• DatawareHouse FilterFlow extracts a configurable, specific set of display rule attributes into relational database tables, which creates a normalized data warehouse structure. The initial output from the DatawareHouse FilterFlow provides the Data Definition Language (DDL) that database administrators can use to create the tables. Later, you can use the outputs of the DatawareHouse FilterFlow to specify attributes directly into the data warehouse table or tables.

You can use the Data Extractor to better understand the available data attributes. Understanding the available data attributes is especially important for the CSV FilterFlow and DatawareHouse FilterFlow where display rule attributes are defined in the configuration. You can use the Data Extractor to search for and list attributes within display rulesets.

The Data Extractor is developed as a Spring Boot application. By using the Data Extractor, report designers don't need to understand the Determinations data format and to try to extract data directly from it, which eliminates the need for complex SQL queries or custom solutions. Instead, the data can be extracted and made available in a format that is easy to query.

Download the Data Extractor from Fix Central. For more information about using the Data Extractor, see the readme and PDF files in the package.

For a video overview of the Data Extractor, see the Data Extractor deep dive.