Flexera Analytics Data Model for Package 2023 R1

The Flexera Analytics Package 2023 R1 data model comprises several discrete models that contain all of the related information that would be required to generate a report on a specific topic. After you select which model to use, each piece of data will be correctly related to every other piece of data, provided you include only items from that selected model. To select which model to use, first you should make some decisions about what content your report will include. This will dictate which model you should use.

Note that the first three models—Feature-Org OLAP, Feature-Leaf OLAP, and Product-Org OLAP—are used for reporting on historical usage data (from report logs), while the Operational Data model is the current usage data collected directly from the license servers.

The models included are:

•

Feature-Org OLAP—Set of models for online analytical processing for feature-license usage by an organization over time. Uses historical usage data (from report logs). Data are available hourly, daily, or monthly.

•

Feature-Leaf OLAP—Set of models for online analytical processing for feature-license usage by a user, from a license server host, and/or for a project, over time. Uses historical usage data (from report logs). Data are available hourly, daily, or monthly.

•

Product-Org OLAP—Set of models for online analytical processing for product-license usage by an organization over time. Uses historical usage data (from report logs). Data are available hourly, daily, or monthly.

•

Operational Data—Set of models for online analytical processing for feature usage from a single license server or from all license servers. This model enables processing of usage for both FlexNet and LUM license servers and serves as the basis for the report widgets available to the Operational Dashboard. Uses current usage data collected directly from your enterprise’s license servers.

•

Tier-Feature-Org OLAP—Set of models for online analytical processing for tier-based license usage by an organization over time. Uses historical usage data (from report logs). This model is for use by Autodesk customers.

•

Cadence-Token-Feature-Org OLAP—Set of models for online analytical processing for token-based license usage by an organization over time. Uses historical usage data (from report logs). This model is for use by Cadence customers.

•

Usage Stats for Time Range—Set of models for reporting on product or feature usage, availability, and denials. Reporting on product usage is available if you have mapped features to products.

Folder structure in Query Studio (Cognos)

Within each historical data model, you can choose to use hourly, daily, or monthly data for your report. Hourly data provides more granularity; however, monthly data results in faster report performance. For the models that use organization structures (Feature-Org OLAP and Product-Org OLAP), multiple levels are available. Your choice of level depends on what data you want to see and the depth of your enterprise’s hierarchy.