Introduction

CryspIQ® is an all-in-one Data Fabric solution that leverages a patented data collection method to prepare your organisation’s data for analytics and AI. By definition, a data fabric is an architecture and a set of best practices designed to unify and govern various data management disciplines. These include:

• data integration,
• quality,
• active metadata,
• master data,
• pipelines,
• catalogs,
• orchestration,
• analytics,
• data operations.

CryspIQ® is delivered as a Software as a Service (SaaS) offering. Its core concepts are founded on the key principles outlined in the DAMA framework.

Siloed, Isolated Data

❌ Hard to find.

❌ Difficult to use.

❌ Unknown quality.

❌ Lots of noise.

Integrated, Contextualised Data

✅ Easy to find.

✅ Simple to use.

✅ Measured quality.

✅ Noise removed.

Overview

CryspIQ® was designed to enhance your data preparation processes, deliver measurable business value, and make data more accessible across your organisation. It enables your teams to explore the full potential of your data without being limited by technical interpretations. Any user can self-serve and ask analytical questions using natural, everyday language.

To use CryspIQ®, there are a number of components that need to be understood:

1. Apply the method (data preparation)
2. Map your data (set up the maps)
3. Use your data (ask your question)

Apply the method

CryspIQ® takes a fundamentally different approach to traditional data warehousing methods. If you explore further, you’ll recognise elements of Ralph Kimball’s star schema and Bill Inmon’s Common Information Model (CIF). We’ve drawn on the strengths of both renowned methodologies to create a new, unified approach. Once these concepts are embedded in your data strategy, your end-to-end processes become standardised, consistent, and far easier to understand.

Our methodology and universal context are technology-agnostic, meaning they can be applied across any cloud platform—whether AWS, Google Cloud, or Azure. CryspIQ® is built on Microsoft Azure to bring this methodology to life and deliver meaningful value to your organisation.

Find out more

Map your data

Use the intuitive interface to create and manage mappings from your source data to the universal context. Enrich your data with contextual metadata, making it easier for both large language models (LLMs) and colleagues to search, discover, and use. By applying clear business terms and labels, you promote consistency in meaning and understanding across the organisation — forming a comprehensive business glossary for all your data.

Find out more

Use your Data

Ask questions of your data using plain, everyday language — no technical expertise needed. Simply type your question into the text box, and CryspIQ® takes care of the rest.

CryspIQ® brings all your data together within a unified database schema, clustering similar types of data for easy discovery and access. There's no need to be a subject matter expert (SME) or understand the underlying source systems to find and use the data you need.

Find out more