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description=Learn how Data Structures represent and organize business objects for internal logic processes with other Designer Elements such as Flows and Rules. Data Structures consist of data fields detailing the data s properties, including their data type.;

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about data structures documentation index fetch the complete documentation index at https documentation decisions com llms txt use this file to discover all available pages before exploring further search ctrl k press ctrl k to open search powered by about data structures updated on jul 1 2026 published on apr 28 2026 5 minute s read focus print copy page copy as markdown for llms view as markdown view the page as plain text open in chatgpt ask chatgpt about this page open in claude ask claude about this page prev next overview data structures represent and organize business objects for internal logic processes with other designer elements such as flows and rules data structures consist of data fields detailing the data s properties including their data type an example data structure may be titled employee with example data fields in quotations and data types in parentheses name string age int and work email email similar to other decisions elements data structures along with their data may be imported exported into other decisions instances or external programs as a csv file when to use a data structure during planning consider the following questions when determining which data structure to use are processes object oriented a noun or functional a verb which is considered first the information to be processed or the transformation processes if it s the former it is recommended to use a data structure if it s the latter the focus should be on building flows and reports to generate the same results instead of using a custom data structure what are the reporting needs and do they involve more than process details if user defined data gathered and submitted in a form should be included in a report then using data structure is recommended how often does the data change and does it need to track its history if snapshots of data are required for example in a patient medical review process with a frequently changing condition status form it is recommended to save that form s information to a database that maintains its history for reporting purposes lastly how much information needs to be handled it is recommended to build processes in functional blocks rather than in one large flow which may result in a cumbersome amount of mapping for each of these individual variables it is more efficient to create one data structure that contains all those variables think beyond the initial scope of the process when possible first capture the initial request details and then add later process details for example if there is an approval step it might be best to capture additional information such as an approval or rejection comment also be written into the data structure user defined data structures database name short description example case entity for unstructured data in a repeatable process with variable outcomes progress via specified states a patientrecord case tracking states such as inquiry booking an appointment assessing patient etc have varying outcomes database structure creates a database table dependent on other components to be manipulated while there are no limits to the number of rows more rows will increase query time a customer with data fields such as customerid emailaddress etc that are then formatted into a database table defined data structure creates a database table dependent on other components to be manipulated more memory efficient so best for larger sets of data a large set of data customer with data fields such as customerid emailaddress etc that are then formatted into a table entity creates a persistent object and allows the ability to create actions specific to that object an entity person with data fields like age clothing size etc these values can change but the person always remains a person entity extension creates a persistent object that extends a preexisting type of decisions a person entity with an address extension that can be attributed after the entity s creation via an action external entity works with objects stored externally importing an xml json file with a table of products productnumbers etc flow execution extension enables flow data into process data to capture display and store data in motion most commonly used this was deprecated in v9 5 case entity is recommended instead an employee application with data to save and refer to later such as applicantname resumepdf etc flow structure creates an entity that lives solely within a flow that cannot be stored allows temporary organization of data only existing within the flow a data repeater showing data from different tables of data structures folder extension creates a folder that represents an entity can perform actions an insurance policy folder extension with actions like renew policy or cancel policy to perform on its object value list creates an enumerated list of string values that changes regularly a drop down list containing all fifty of the united states for a form creating custom data structures in addition to decisions pre built data structures designers may create custom data structures from the following schema types csv json json schema xml xsd data structure crud actions designers and specified end users groups interact with data structures through crud actions create read update and delete for easily updating data in decisions these actions are visible as steps for the specified data structure in the flow designer data structure namespace when creating a data structure type name space under the advanced settings allows designers to configure the namespace of the data structure by default this setting will populate with the folder path to the data structure such as myapps examplefoldername data structure names use the project name myapps exampleprojectname it is recommended to change this setting when working on large projects since this default folder path name will grow larger as the parent folder becomes further nested furthermore multiple data structures with the same name space may exist changing the name space name may prevent future organization issues diacritics in name spaces beginning in v9 9 diacritics letters with accents such as à ö etc cannot be used in name spaces this will throw a validation users with projects created with diacritical letters in prior releases will see validations inside data structures if the assembly of the data structure is not loaded and code compile for the data structure fails then its generated step will not work projects or folder names with diacritics will have those symbols removed upon upgrade recompiling data structures when data structures are giving errors one thing a user can do is try using the recompile data structures action this is found under manage health data structures right click on the data structures folder select compile and then select recompile data structures or use the recompile data structures action a list of data structures that need to be recompiled or a popup window stating that all data structures are up to date will display if a list appears select the data structures that need to be recompiled and then click ok feature changes description version release date developer task restrictions to using diacritics have been added 9 9 april 2025 dt 043977 the namespace will now be the project name instead of the full file path 9 14 august 2025 dt 038580 was this article helpful yes no tags element introduction creating data data members custom data types data structures decisions platform ai orchestration get pricing install resources videos events articles organization our company partners careers contact us connect