Datalynx Data Optimisation for Analytics and AI



Data Optimisation for Analytics & AI


Data preparation is critical for Analytics, Reporting, AI & ML


Datalynx delivers world-leading Data Preparation
& Optimisation capability

DMS Phoenix addresses the extensive shortcomings of conventional approaches, which struggle to deliver data that is meaningful to stakeholders, presented in its "business context" to simplify analytics & reporting.

Using extensive automation and Datalynx's proprietary processes, complex data is transformed into a simple, business-focused format, that can be easily understood by business users, technical teams and AI/ML technologies.


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Know your Data

Automated reverse engineering & analysis for deep understanding


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Simplify

Data is auto-translated
into its business context
- without the IT system


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Migrate to Cloud

Data arrives optimised
for Analytics & AI, on the platform of your choice


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Business Insights!

Run queries and reports
- optional integration with native AI & ML tools



Ask about how DMS Phoenix can have you ready for analytics, reporting and AI integration in the cloud in a matter of weeks






Datalynx's Phoenix solution is unlike any other option on the market. We are not surprised when we hear "this sounds too good to be true!"

Let us introduce you to our satisfied customers and prove our capability
via a low-cost PoC

Register your Interest:



Data Optimisation for Analytics and AI in practice

What is the key challenge with using business data for Analytics and AI?

In any business system, the logic to understand how the data is stored and how it should be presented to business users, is primarily held in the application.

When structured data is extracted from business systems (whether from a relational database or file-based system), it loses its business context.
Why is Data Preparation for Analytics and AI necessary?

If the extracted data is simply loaded into a generic data repository, as is most commonly the case, it can be almost meaningless to business users and Analytics and AI tools.

Data preparation processing is needed to store and present the data in its business context, independently of the source application.


Datalynx DMS Phoenix solves the problem

DMS Phoenix genuinely offers a unique capability and approach for addressing this challenge. The combination of Datalynx's inbuilt IP, automation and proprietary methodology goes well beyond basic "data preparation" to optimise your data, making it meaningful to business users and ready for effective use by Analytics, Reporting and AI tools.

The highly simplified example below provides a glimpse of the type of transformation that takes place. In real-world deployments this transformation occurs across the whole database, generating a simplified model that easily supports your Analytics and AI needs.

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Phoenix is Available on All Major Cloud Platforms

Datalynx has established strategic partnerships with all the major cloud platform vendors, delivering joint business solutions, as well as Datalynx innovation such as Phoenix and Data Management as a Service (DMaaS).


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Amazon Web Services
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Microsoft Azure Microsoft
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Google Cloud Platform
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Oracle Cloud Infrastructure