Yes, CryspIQ® can reside alongside your existing Data Platform and enable you to start realising some of the cost saving benefits of CryspIQ. As an interim solution, you can leverage your existing Layers and redirect your Data into CryspIQ® . This means that you use your existing "Raw" or "Staging" layer and map the Data from there into CryspIQ® for use. Please refer to the Architecture documentation for more information

Yes, the CryspIQ® product only stores business relevant data from a source system for your business and delivers efficiencies in Compute and Storage cost of up to 80%.

Yes, CryspIQ® implements Role Based Access Control (RBAC) across all your Data and leverages the Azure Entra ID framework to control authentication and access privileges. Data access level is controlled a field level to ensure that people can only see what they are allowed to see irrespective of what queries they execute.

CryspIQ® organises all your business data in a single database schema, so that all data of similiar type is clustered or stored together making it easy to find and use. What this means is that if you are looking for money items, such as budget amounts, invoice amounts, payment amounts, you will find them all stored in a single place.

PPL is the evolution of ETL. The PPL difference is that the data preparation is performed directly on the data arriving from source and is completed before it is loaded into the CryspIQ® which makes streamed data load possible instead of the legacy batch methods if required.

Yes, you can use CryspIQ® to regain control of your data swamp and slowly migrate your data off your existing Data Lake or Lakehouse. This can create a seamless user experience, whilst you clean up the back office. CryspIQ® product only stores business relevant data from your source systems.

Any output that can be produced in a tabular format - Databases, Rest APIs, flat files etc. Please refer to System Plug-ins Library documentation for more information.

Yes, This is one of the key benefits for implementing CryspIQ® as it is completely agnostic to the system source from which the data is derived. You retain the history from the old system or technology through the existing mapping, and when the new system comes along, simply create new mapping for messages from the new system into CryspIQ® . No major end to end re-builds are required and all your history is retained with continuity from an analytics perspective.

CryspIQ® applies your data quality checks to the data before entry into the data model which ensures that only quality data is provided to the consumers. Additionally, by removing layers or handling steps in the data availability process, we remove inconsistencies derived from interpretation, manipulation during a transform step and also enforce removal of duplications as a standard.

Yes, CryspIQ® can handle the volume, velocity and variety characteristics of Big Data and can be configured to use industry standard technology such as Apache Hadoop in any cloud platform. When the solution is configured for Big Data, users can benefit by getting the same or faster results as on the relational storage engine and optimised storage cost through the use of the underlying Big Data technology. Note that Big Data Configuration is in addition to the standard CryspIQ® offering.

Any tool that allows relational record association using key value pairs (a relational database), e.g. SQL Server, Postgres, DB2, MySql, Oracle, Sybase, Amazon RDS, Apache Hive.

Yes, the CryspIQ® product is not limited to any specific industry.