Introduction
CryspIQ® is a single end to end Data Fabric solution which uses a patented data collection method and prepares your organisation's data for use with analytics and AI. 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 made available to you as a software as a service ('SAAS') product. 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, to 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.
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 (ask your question)
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 contextual 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
Use everyday language to ask questions of your Data. No technical knowledge required. Type your question into the text box and let CryspIQ® do the rest. 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.