A New Approach To Data
Product

A New Approach To Data

At the heart of Data Chemist is a completely new way of thinking about data. A way of delivering correct, consistent data and revealing the patterns and relationships that make a real difference to your business. And a way to enable every individual in the organization to get insights from that data. Here’s how we do it.

  • Extract

    Extract

  • Control

    Control

  • Distribute

    Distribute

Extract

Machine learning makes sense of your data.

From existing data we infer the business objects and relationships that matter to your business, help define the rules that govern them, and automatically migrate all relevant data into this ‘correct by design’ format.

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Extract
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Control

Control

Your data remains accurate over time.

We monitor data in real-time. If the rules that govern relationships between business objects (for example “each order must have an associated customer, value and time-stamp”) are broken, you’ll know about it immediately.

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Distribute

Data put to use across the organisation

DataChemist supports the automatic creation of both online publishing platforms and ‘graph database’ interfaces for investigating relationships. Your entire organisation can read, interrogate and edit the knowledge they need - in real time.

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Distribute
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See New Patterns And Relationships

Using patented mathematical techniques DataChemist enables the identification and visualisation of relationships between real-world entities, at depths unmatched by any other competing approach, and most importantly enforces compliance with whatever rules concerning those relationships we’ve already specified.

We deliver more insight, faster than any competing approach. We call it Business Intelligence 2.0

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Learn More About The DataChemist Approach

If you’re the kind of person who enjoys detailed technical accounts concerning the evolution of databases and pros and cons of various query languages, a) welcome to the club and b) you may wish to download our new whitepaper “Evolving Meaningful Value From Enterprise Data”. And no, you don’t need to give us an email address.

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