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Methodology

To provide some further background on the CryspIQ Methodology, more details on the approach, patent and inventor are provided below. Refer to following items for more detail on the background to the methodology:

Approach​

The CryspIQ approach consists of applying the method to store the Data in the Universal Data Model.

The Method​

The CryspIQ method involves the deconstruction of source records to allow the storage of the incoming data in its most granular form. It clusters data of like type from all inputs into a single data model meaning that the underlying data structures used to store the data remains static by nature. With an element of training to understand the static structure, all data for an organisation becomes available for a business user to consume.

The Data Model​

The CryspIQ data model is functionally agnostic fine-grained Operational Data Store of factual detail (past, present and potentially future) that represents any data source’s specific elements in a single business context, irrespective of business type, source system or desired downstream use.

Inventor​

Vaughan Nothnagel is an African data architect and the registered inventor of the CryspIQ data modelling method for data warehouses and business intelligence. First envisioned around 2010, the Crysp Team developed the model in 2016 and formally published the first version in the early 2018. In 2023, CryspIQ 2.0 was announced and it was released in 2024.

Compare CryspIQ to other Industry Methodologies and other Cloud Data Warehousing products in the market.

Patent​

This gives you an understanding of what the CryspIQ patent contains.

Description​

The CryspIQ Patent utilises a combined practice of: –

  1. A ‘single organisational context’ to overcome nomenclature differences across different areas of the organisation (normalisation and standardisation of context);
  2. A ‘transactional de-composition’ philosophy forcing the deconstruction of individual elements from source systems and thereby disassociating them from their original structural format constraints and their source of origination (information decomposition);
  3. Recording only specific elements of the source data (as opposed to the whole record) within your organisation (One-off build) as one or more of the finite types of data resulting in storage savings of up to 90%;
  4. Retention of time-based sensitivity for event driven recording; and
  5. Multi-Dimensional representation of the data types allowing cross business domain analysis and reporting.

Issued​

This the current list of the patents that have been issued around the world:

DateCountryPatent #
02-Oct-2019Singapore11201806825R
01-Apr-2022Japan7051108
03-May-2022ChinaZL 2017 8 0013415.4
03-Jun-2022United StatesUS11372880B2
22-Jul-2022Hong KongHK1255050
20-Apr-2023Australia2017224831

There are further patents pending in other countries around the world and will be added to this list when they are issued and finalised.