Introduction
CryspIQ is a single end to end Data Fabric solution which enables ai for your organisation. By the definition, a data fabric solution is defined as an architecture and set of best practices for unifying and governing multiple data management disciplines. These include:
- data integration,
- quality,
- active metadata,
- master data,
- pipelines,
- catalogs,
- orchestration,
- analytics,
- data operations.
CryspIQ is provided to you as a software as a service ('SAAS') solution that encompasses all data fabric disciplines. The fundamental concepts of the CryspIQ solution are derived from the key principles contained within the DAMA framework.
Disorganised data
Organised, connected data
Overview
CryspIQ was built to improve your data preparation processes, provide tangible business value and to simplify usage of data for your entire organisation. Your organisation is empowered to open their minds to all the opportunities that your data presents without being constrained by what’s been provided by technical intepretation. Any user can self serve and ask analytical questions using everyday language. The standardised nature of the solution with its in-built quality control provides a solid data foundation for your ai journey.
To use CryspIQ, there are a number of components that need to be understood:
- Apply the method (Data preparation)
- Map your data (Set up the maps)
- Use your data (understand the universal context)
Apply the method
The method used by CryspIQ is different to the traditional methods of data warehousing. If you dig deeper, you will notice the star schema concepts from Ralph Kimball and the common information model(CIF) concepts from Bill Inmon. We have taken the best parts from each of these two world renowned methodologies and have combined them to form a new methodology. Once the concepts are solidified into your approach to data, your end-to-end data processes become standardised and much easier to understand. The method and universal context are technology agnostic and can be used on any cloud technology stack (AWS, Google or Azure). We have built CryspIQ on Microsoft Azure to encapsulate the methodology and universal context to deliver great value to your organisation.
Map your data
Use the user interface to create and manage your mappings of source data to the universal context. Add metadata to your data which helps the large language model (LLM) and your fellow colleagues to search, find and use it. Use business terms and labels to enable consistency of meaning and understanding across your organisation. This creates the business glossary for all the data across your organisation.
Use your Data
Understand the universal context to establish where your data is stored for use. CryspIQ organises all your data in a single database schema, so that all data of similiar type is clustered or stored together making it easy to find. You Do NOT need to be a subject matter expert (SME) in the underlying source system or have technical knowledge to find, access and use your data. 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.