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1. Ontology - an operational layer for the organization.
- sits on top of the digital assets integrated into the Palantir platform (datasets
and models) and connects them to their real-world counterparts, ranging from
physical assets like plants, equipment, and products to concepts like customer
orders or financial transactions.
- serves as a digital twin of the organization, containing both the semantic
elements (objects, properties, links) and kinetic elements (actions, functions,
dynamic security) needed to enable use cases of all types.
2. Ontology seman- objects, properties, links
tic elements
3. Ontology kinetic actions, functions, dynamic security
elements
4. objects, proper- Defining the semantics of your organization happens by mapping existing data-
ties, and links sources into
5. Action types and The kinetics of the organization—enabling change while complying with organi-
Functions zational controls and governance—are defined in the Ontology using
6. Functions provide a way to author and evolve business logic with arbitrary complexity.
7. Interface -an Ontology type that describes the shape of an object type and its capabilities.
-provide object type polymorphism, allowing for consistent modeling of and
interaction with object types that share a common shape.
8. Object Views are a central hub for all information and workflows related to a particular object.
This includes key "biographical data" about an object, any linked objects, key
related metrics, and links to (or embedding of) key analyses, dashboards, and
applications related to the object.ho
9. Object Explorer
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-a search and analysis tool for answering questions about anything in the Ontol-
ogy layer.
-requires no pre-configuration and is geared towards less technical users.
10. Quiver -enables advanced analytical workflows in the Ontology layer through a visual
point-and-click interface and a powerful charting library. - can be used to support
anything from simple linear drill-down analyses to highly-branched and complex
analyses with aggregations and statistical functions.
- also supports native time series analysis.
- analyses can be templatized into read-only dashboards for broader consump-
tion.
11. Workshop -enables point-and-click code-less application-building natively on the Ontology
layer.
-Applications built are more dynamic and interactive than typical dashboards
created in other point-and-click tools.
- as user-friendly and high-quality as custom React applications
12. Slate -a flexible application builder for Foundry that requires more technical configu-
ration and code than Workshop.
- applications interact with the Ontology layer, but can also interact directly with
Foundry datasets.
- enables significant visual customization based on web development paradigms
and has a wide range of available features, but also requires more technical
knowledge to build and maintain applications than Workshop.
13. Carbon - enables combining multiple resources or applications in Foundry to create
highly curated workspaces for operational users. By allowing you to combine
analytical results such as dashboards, applications built in Workshop or Slate, and
out-of-the-box capabilities such as Object Views and Object Explorer, it enables
workflow builder to perform the "last mile" of customization to create a highly
tailored and usable experience for end users.
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- can provide a focused experience for less technical users that need to carry out
critical operational workflows.
14. Map application allows you to bring together and analyze objects and other data in a
geospatial context.
15. Application Com- see PNG
parison
16. Main Use Cases Discovery, Analysis, Dashboards, and Applications.
17. Discovery - enables users to find the right information or workflow.
- is primarily enabled through two core features: curated content hubs and search.
18. Analysis enables users to answer a broad range of questions.
19. Dashboards - are sets of pre-configured visualizations consumed primarily in a read-only
fashion by a broader set of consumer users.
- are often used to turn meaningful Analyses into recurring reporting or opera-
tional monitoring.
- are characterized by a large number of charts and other visualizations, but are
not as customizable or interactive as Applications (see below).
- are often parameterized such that users can filter down the visualizations to
different subsets of data.
20. Applications - are interactive custom operational interfaces intended for a specific user group
to solve a specific problem.