A list of terms that are used to describe ActiveNav Cloud capabilities, administration and data
| Term | Definition |
| Administrative Dashboard | A dashboard that provides the highest level overview of the data inventory. |
| Analyst Dashboard | A dashboard that focuses on the extracted features in scored content, and is used to analyze, identify, and determine the actions that should be taken on specific objects. |
| Business Unit | A Business Unit is a collection of data paths that represent a logical unit that allows groups of users to review Discovery results that are relevant to them. Typically a Business Unit will map closely to a specific function within the business and collect relevant data from a range of different repositories or data sources such as HR or Finance. See How to Create A Business Unit for further information. |
| Collector | Collectors are responsible for interacting with unstructured data repositories. It will discover the content held in the repository and report the findings to ActiveNav Cloud, including basic metadata about containers and objects, Feature counts, Target Search identifiers, and matter identification details. For on-premises repositories, a Collector must be installed on the customer network. Cloud-based repositories are accessed using Cloud Collector instances hosted as part of the ActiveNav Cloud platform. See Collector and Collector Groups Overview for further information |
| Collector Group | Collector Groups are used to organize on-premises Collectors. A Collector Group is defined for a logical set of repository hosts (typically along geo-location lines) to allow the ActiveNav Cloud platform to direct Discovery tasks to appropriate Collector instances and helps with performance by running tasks in parallel. See Collector and Collector Groups Overview for further information |
| Compliance Dashboard | A dashboard that provides a "single pane of glass view" across an organization's entire data landscape through a geographically mapped view. |
| Container | A Container is an element in a repository that contains other Containers or Objects to be discovered. Typical examples of Containers are folders in a file share or document libraries within a SharePoint Online tenant. |
| Credentials | Credentials are configured to enable collectors to connect into specific data sources for content discovery and/or feature extraction within a cloud or on-premise repository. In addition, credentials are provisioned specifically for Collectors, with the minimum required privilege to perform Discovery and Feature Extraction. |
| Data Element | Specific type of regulated data found in objects, for example, U.S. Social Security number, date of birth, and credit card numbers. |
| Data Profile | The composition of unstructured data objects as they relate to specific categories of metadata such as document type, size, age. |
| Data Source | The Data Source is a defined entry point path into a repository for the Discovery. |
| Discovery | Discovery is the process by which ActiveNav Cloud collects information about the Containers and Objects that are found within a chosen Data Source location, including basic metadata, feature counts, Target Search identifiers, and matter identification details, and stores them in the inventory. |
| Feature Extraction | Feature Extraction is the detailed analysis that is applied to textual content of objects. Directed by either the default ActiveNav Cloud sensitive data rules or custom rules to suit specific requirements, a range of textual analysis strategies are applied to identify the target textual features. Feature Extraction uses carefully optimized pattern matching strategies, and is applied only to objects containing textual content in order to maximize throughput, however there is a performance overhead compared to Discovery Only due to the additional data transfer involved in making textual content available to the Collector process. Feature Extraction does not lead to matched feature text being stored in the ActiveNav Cloud platform; only details of the type and quantity of features identified are recorded. The application comes with out of the box set of Feature Extraction Rules, but these can be customized to meet users' specific needs. |
| Feature Extraction Rules | Feature Extraction Rules define patterns for data-of-interest to identify information within objects that contain regulated data items. Feature Extraction reports back on the number of features that match the patterns, the uniqueness (i.e., whether the same text is matched many times or are the matches generally different), and confidence (how well does the feature conform to a pattern). Together, these properties indicate the level of regulated data elements within the object. |
| Host | The name of the repository storage service. For on-premise repositories, this is likely the same as the server's hostname. For cloud repositories, the host reflects the service connection point. |
| Hotspots | Hotspots are a set of lower scores that may indicate that special attention is required for review. |
| Inventory | The Inventory is composed of metadata collected from target repositories. The Administrator, Compliance, Analyst and Profile dashboards draw their data from the Inventory. |
| Profile Dashboard | A dashboard that focuses on the composition of unstructured data objects at a high level as they relate to specific object properties such as document type, size, age. |
| Object | An Object is an item within a repository that represents a form of generated content, unlike Containers which are simply organizing a hierarchy of Objects or other Containers. Compressed archives in supported formats are treated as composite Objects and contained objects are analyzed independently with findings recorded against the parent archive Object. Subsidiary contained archives are not inspected for further expansion. |
| Repository | A repository is the type of storage within which a customer manages resources. Current repositories supported in ActiveNav Cloud are: Windows File Share, SharePoint, Microsoft Teams, OneDrive, iManage Cloud, iManage On-Prem, and NetDocuments. |
| Scoped Review | A feature that provides a collaborative markup environment for Analyst reports with customized markup values. Results manifest includes object metadata, decision value, reviewer name and the date/time of the decision. |
| Scores | Scores are used to indicate the presence of aggregations of regulated data elements based on weighted percentages and volume of data for each data category. The score indicates the health of the data, so the lower the score, the more presence of data elements. |
| Scoring Configuration | The Scores hierarchy represents aspects of Discovered Objects such as Sensitive Data and determines how Feature Extraction findings drive scoring of Objects and Containers. The Scores hierarchy consists of the following levels: - Impact Domain - Impact Area - Data Element Type - Data Element Scores at the Data Element level determined by Feature Extraction results are aggregated and reflected up the hierarchy to provide a weighted average score for an Object at each level of the hierarchy. Container Scores are determined based on the scores assigned to Objects within the Container. Scores configuration is accessed via the Business Rules > Scores menu whose presence is determined according to tenant settings. |
| Sensitive Data | Sensitive Data is any Data Element that may represent a risk to the business if not properly controlled. Typical forms of Sensitive Data relate to personal or financial privacy but any given business may have its own specific form of risky Sensitive Data. |
| Target Search | A feature that enables in-depth searches on specific data elements. The searchable data elements must be defined in the Feature Extraction Rules and the indicator of values of these data element is returned from collectors. Target Search users can then search the inventory for objects that have a particular data element value from ActiveNav Cloud. |