Navigating CryspIQ

Provides you with a quick overview of the CryspIQ application and brief understanding of each functional component.

User Module

The User Module enables you to manage the users that have been assigned licenses within CryspIQ. Your licensing model is based of the number of users you have registered in Microsoft Azure AD to use CryspIQ.

Different types of users will be required for your organisations. This is completely separate to Data Access which is covered off in the Security section. You can have the following types of users, which can perform difference application functions:

• Company Administrator (manages Company Details, Licence and Users)
• Data Administrator (manages source connections, creates mappings and assigns Security)
• Data Steward (manages Data Quality issues)
• Normal Users (includes anyone building queries or using data from CryspIQ).
• Application Users (system to system communication using APIs)

Find out how?

Licensed Users

You have the ability to:

• Create and add new users up to the licence limit.
• Edit and update your users
• Delete users, which removes users from your user license count.

Application Roles

Assign application level roles to each user, the different types of users are outlined in the table below:

User Type	Properties
Company Administrator	A licensed user and registered by name in CryspIQ. The role maintains the Licence and number of users assigned to the licence. Set up with Multi-Factor Authentication (MFA) and Data access limited by Security Group assignment. Representative for your company and has responsibility for the Licence.
Data Administrator	A licensed user and registered by name in CryspIQ. The role creates source connections, imports new Data, builds mappings and defines security for data. Set up with Multi-Factor Authentication (MFA) and full access to the Data. Data engineer or your system integrator partner.
Data Steward	A licensed user and registered by name in CryspIQ. The role manages Data Quality issues. Set up with Multi-Factor Authentication (MFA) and full access to the Data. Data Subject Matter Expert (SME) or steward or your system integrator partner.
Normal Users	A licensed user and registered by name in CryspIQ. This role views mappings, builds queries and uses Data for different purposes (such as reporting, analytics and data science activities). Set up with Multi-Factor Authentication (MFA) and Data access limited by Security Group assignment. Any data consumer, such as anaylst, data scientist, reporting user, corporate person, operations person, manager or executive.
Application Users	A licensed user and registered service account in CryspIQ. This system user that uses data from CryspIQ via API calls. Configured with a secret key and Data access limited by Security Group assignment Service account that will run certain processes that connect to CryspIQ

Licensing

User allocations available in each version are outlined below:

• Up to 5 users (combination of administrator and user Role types) are allowed in the Lite version.
• Up to 20 users (combination of administrator and user Role types) are allowed in the Pro version.
• Unlimited users (combination of administrator, user and application Role types) in the Enterprise version.

Security Module

The Security Module enables you to manage the security and control access to your data. CryspIQ integrates seamlessly with your existing Microsoft Entra ID and enables you to manage the security of your data to a granular level. All data is secured using Microsoft Entra ID security groups. Users are assigned to one or many different Security Groups depending on what they should be allowed to see. Each security group is assigned access to your different data elements. Users can see what they have access to via the Data Catalogue screen.

Key Benefits:

• Security managed in a single place.
• Applied on a single database schema.
• Simplified maintenance processes.

Ensure that all your data is secured and manage your compliance with:

• Privacy laws in your Country.
• Sarbanes-Oxley Act of 2002 (commonly referred to as “SOX”).
• Security of Critical Infrastructure Act 2018 (SOCI).

Features include:

• Setting up EntraID Security Groups
• Applying security at columnar level.
• Applying security at a field level.

Find out how?

Data Access Levels

Manage your data access control. You have the ability to:

• Create and add new groups and connect to the AD Group.
• Assign to EntraID security groups.
• Update your roles and connections to EntraID security groups.
• Delete roles and connections to EntraID security groups.

Find out how?

Object Security

Secure your data at a field level for identified fact types. Data is locked by default, so noone can access, use or view it. It requires the Data Administrator to assign it the relevant security groups before it can be used.

Find out how?

Contextual Security

Secure your data at a columnar level. Data is locked by default, so noone can access, use or view it. It requires the Data Administrator to assign it the relevant security groups before it can be used.

Find out how?

Licensing

All versions have access to the same data security features.

Sources Module

The Sources Module enables you to manage the different source systems and source messages that you wish to load into CryspIQ.
As there are no constraints on the number of source messages, you have no restrictions around how much data you can load.

Key Benefits:

• Unlimited source messages.
• Load and store all your data with context.
• Build up the single source of truth for your organisation.

All licenses have direct access to the existing source system plug-in library. These plug-ins contain:

• Pre-built source system extractors,
• Source message structures,
• Predefined maps into CryspIQ.

Features include:

• Re-use an existing system plug-in and adjust it to fit your needs.
• Build your own source system plug-in and add it to the global library.

Upload Data File

Enables the Data Administrator to upload a source system data object in xml or csv format.

Find out how?

Messages

Manage your source message structures (schemas) from the source systems. You have the ability to:

• Add a new source message
• Add metadata associated with the source message.
• Assign data ownership - data steward and function
• Manage fields in message
• Edit an existing message
• Delete an unwanted message (soft delete)

Find out more?

Licensing

There are no limits or constraints to the number of source systems that you can have in the Lite version, Pro and Enterprise version.

Maps Module

The Maps Module focuses on helping you prepare and organise all your data for CryspIQ. It enables you to apply multiple methods and defaults to prepare and organise your data into the universal context.

Key Benefits:

• Removes the manual efforts required to discover data.
• Removes the requirement for intepretation of the data.
• Adds contextual metadata to data.
• Provides consistent understanding of terminology used.
• Provides traceability and lineage back to source record.

Features include:

• Manage a library of maps for source messages to the CryspIQ.
• Re-use an existing map and adjust it to fit your requirements.
• Build your own map and add it to the global library.
• Apply customised methods and defaults to your data.

Manage Maps

Manage your organisation mappings for each source message:

• Create new mapping, and add methods and defaults where required.
• Capture linkkey field for traceability back to source record.
• Add search metadata, to assist users to find what they're looking for.
• Update existing mapping,
• Add / edit / delete methods
• Add / edit / delete defaults where required.
• Delete existing mapping(s)

Find out how?

Methods

Manage the rules / logic / methods that can be applied to each mapping at a field level:

• Create new method
• Update existing method
• Delete existing method

Find out how?

Defaults

Manage the Defaults that can be applied to each mapping at a field level:

• Create new defaults
• Update existing defaults
• Delete existing defaults

Find out how?

Licensing

There are no limits on the number of maps that can be created in the Lite version, Pro and Enterprise version.

Consume Module

The Consume Module focuses are simplfying how your users find, use and access the data they require. This module caters for both types of users (technical vs non-technical) depending on their preference.

Key Benefits:

• Data is ready for use once it has been loaded.
• Ask questions of your data using everyday language.
• Have a two-way conversation with your data.
• No technical knowledge is required.

Features include:

• Natural language query model (Text to SQL).
• Build your own SQL queries.
• Existing query library.
• Enabling scenario notifications.
• Application to application communication.

Data Catalogue

Users can click on the relevant data type that they are interested in. The types will be filtered down to that specific type in the Grid View. Provides the ability for a user to search and see what types of data are available.

There is also a section called "All Data Available".

This shows the following to the user:

• Access - does logged in user have access to this Fact record? "Yes" = tick and "No" = cross. Access required contact the steward.
• Steward - identifies the person to contact if there are ay queries around that specific piece of Data.
• Completeness - shows if the Data has all the required contextual metadata associated to it or highlights completeness of this activity. Percentage is calculated based on records in the ParkingLot.
• Quality Ratings are calculated based on the following:
  • if there are < 5 Data Quality records for that DataKey, the rating score is 4.5 out of 5.
  • if there are between 6 - 10 Data Quality records for that DataKey, the rating score is 4.0 out of 5.5
  • if there are between 11 - 15 Data Quality records for that DataKey, the rating score is 3.5 out of 5.
  • if there are between 16 - 20 Data Quality records for that DataKey, the rating score is 3.0 out of 5.
  • if there are between 21 - 25 Data Quality records for that DataKey, the rating score is 2.5 out of 5.
  • if there are between 26 - 30 Data Quality records for that DataKey, the rating score is 2.0 out of 5.
  • if there are between 31 - 35 Data Quality records for that DataKey, the rating score is 1.5 out of 5.
  • if there are between 36 - 40 Data Quality records for that DataKey, the rating score is 1.0 out of 5.
  • if there are > 40 Data Quality records for that DataKey, the rating score is 0 out of 5.

Query Library

You are provided with the query library which contains pre-built queries which can be re-run by anyone across your organisation. Security will be applied on the results returned, so people will only see what they are allowed to see.

Find out how?

Query Builder

You also have the ability to build your own query and add it to the organisation library for others to use. You have the ability to re-use an existing query, tweak it to fit your requirements and then save it as new query in the library.

Some features of the query builder are:

• Drag and drop functionality query builder by selecting your facts and the data required.
• Preview the query outputs
• Text box for standard Structured Query Language (SQL)

Find out how?

Natural Language Query

This functionality will leverage the natural language query model libraries to use human language to build the SQL queries required to provide your results. See it in action:

Scenerio Triggers

Build conditional / scenario-based data triggers to drive your organisation with Data from production control systems (OT) and other technologies (IT). Query data from production control systems (Operational Technologies) and other technologies (Information Technology) in the same way in CryspIQ. Use these queries to investigate difference possible solution scenarios and build triggers to drive your organisation forward.

Application to Application Calls

Build applications which utilise the CryspIQ Data as the single source of truth for the organisation. Use triggers and organisation scenarios to drive automation down stream organisation processes. Set up connections to CryspIQ using Rest or Webhooks functionality.

Licensing

The query Library, query builder and natural language query features are available in the Lite, Pro and Enterprise versions. The scenario triggers and application to application features are only available in the Enterprise version.

Data Quality Module

The Data Quality Module focuses on supporting your data governance journey and ensuring that all data provided conforms to the required level of quality criteria.

Key Benefits:

• Insights require reliable contextual data.
• Visualise the quality of data being provided.
• Build trust and reliance on your data.
• Provides the foundation for informed decision-making.

Features include:

• Parking Lot
• Functional dashboards.
• Steward dashboards.
• Setting data quality Rules.
• Data quality notifications.
• External API methods.

Parking Lot

When Data is processed through the mapping engine contextual metadata is added as it goes through processing. However there are instances where the contextual metadata not available and thus the data records land in the ParkingLot and wait for the missing data to be loaded. Contextual metadata is required to turn raw data into information that is useful. Records remain in the parking lot until the missing contextual metadata is loaded. There is a self healing mechanism in place which releases records from the parking lot once the missing data is loaded. Users can click on the relevant data type to see what contextual metadata is missing for the type. Users also have the ability to export data from the Parking Lot to csv and interrogate further.

Function Dashboards

A dashboard with drill through capability that assists the data owner to understand data quality issues identified for their organisational function. The dashboard is live and can be viewed across the organisation, thus all parts of the organisation will be discussing things from a single source. For large organisations, this allows data quality to measured and good data governance processes to be implemented to avoid re-currence.

Find out how?

Steward Dashboards

A dashboard with drill through capability that assists the data steward to understand data quality issues identified. The data steward is responsible to ensure that the issues identified are fixed at source and records re-submitted. It's a live dashboard, so the data quality issues will remain in place until they are resolved.

Find out how?

Rules

Build you data quality rules / methods that will be applied to the data as it arrives. The rules are categorised / flagged according to the data quality dimension that they fall under according to the DAMA framework. This categorisation is done during the inital set up of the rules. You use regex logic or python programming when building the rules. An example is shown below:

Notifications

Configure data quality notifications to be sent the data steward, when new issues are identified.

External API methods

Use external application programming interfaces (API) to validate the quality of you organisation Data. API method rules need to be categorised / flagged according to the data quality dimension that they fall under according to the DAMA framework. This is done during the set up of the external api connection.

Find out how?

Licensing

The dashboards, local data quality rules and notifications are available in the Pro. and Enterprise version. The external API methods are only available in the enterprise version.

Data Science Module

Toolsets that enrich your data with organisational context and check quality are rare, and this becomes the bedrock for innovation, providing your ai models with the depth needed for accurate predictions.

Key Benefits:

• Provides a solid data foundation for your ai journey.
• Provides your ai models with the depth of data required.
• Provides contextual metadata and good quality data.
• Provides standardised data structures for your ai experiments.

Features include:

• Data science library.
• Re-use an existing Data Science algorithm.
• Build your own data science models.

Please note that data science module will only be available in Q4 2025 Release, but the data foundation is available (Universal Context).

Data Science Library

Access to the Data Science library with pre-built Data Science algorithms. You have the ability to re-use an existing Data Science algorithm, tweak it to fit your requirements and then save it as algorithm in the library. You have the ability to use the data stored in CryspIQ to build your own Data Science algorithms and models for use across your organisation. This would require the Application User role.

Unstructured Data Reader

This leverages the Microsoft Azure Machine Learning (ML) capability and enables you to build models of your documents which are in PDF format. The ML models can then be trained to improve their accuracy.

Licensing

The Data Science features are only available in the Enterprise version.