IT aligned with business needs…

The Dynizer helps build a bond between the people who want to use your data and the people who look after the tools that help them do that.

We call that Business-IT alignment. The Dynizer ensures that everyone’s speaking the same language when it comes to data management applications.

Where the structure and nature of data changes over time, certain traditional databases and data warehouses become obsolete. The Dynizer solves this issue because the model remains flexible. New data adds to the strength of the analytics as new data automatically connects to existing elements, often leading to unexpected enhancements in the data set.

This flexibility benefits any organization where the type and structure of data it creates, stores and uses changes over time, but where archived data retains a value in the current operation of the organization and helps to inform future decisions.

Self-service knowledge base…

We break all data down to four things everyone understands – it’s either someone (a Who), something (a What), it happens in a specific place (a Where), and it happens at a given time (a When). Human-like recognition of the Who, What, Where, When elements creates meaning and context in structured and unstructured data.

If the unstructured data comes in the form of text, by recognising the four key data types, you could say we’re automatically building a structured database just from text itself.

We automate that so you can use all of your data in a self-service knowledge base, served by low-code applications that won’t break if the data model changes. Think of it like being able to drive a car without having to understand exactly what makes the engine work.

Single integrated environment…

Having recognised the Who, What, Where, or When, the Dynizer connects them in endless combination, making integration faster, more efficient, and more consistent.

If you need to combine data from different sources, you don’t have to create a whole new structure for your data model.

Simply attach the new data to the appropriate data type and create new combinations without creating inconsistencies in the data or breaking anything.

The makes the Dynizer useful for any organisation that needs to take in and process data from different sources, whether the data is structured as in spreadsheets, semi-structured as in emails, or unstructured as in free text.

Apart from reducing the risk to your business, it makes sense…

Simple querying and analytics…

The Dynizer makes querying and analytics simple. There’s no rigid use-case predefinition of analytics, data mapping or warehousing. Core datatypes are detected in all types of text, stored and automatically linked. Content and metadata queries are integrated and you don’t need domain specialists to train the analyzer to find the overlaps in data.

Traditionally, if you want to analyse data, you first need to know what you want to analyse, then you have to create a data warehouse to do the analysis. You have to map the data to the structure you have chosen for the warehouse which always makes it use-case specific. Not with the Dynizer.

The Dynizer is useful to any organization that wants to get the maximum value out of the data it creates. Undiscoverable Data is redundant. The Dynizer makes finding answers easy.

Fast, low-code implementations…

The Dynizer offers fast prototyping of specifications, connections and implementations in hours and minutes, not weeks or months from deciding you need a data application, to scoping it, then actually using it.

The Dynizer discerns the structure of structured, semi-structured and unstructured data in the same way and doesn’t need to integrate data to a pre-defined model.

This makes it particularly useful in discovering context within large quantities of data on the fly.

Technical setup fully managed…

Reduce obstacles in the integration, storage and retrieval of data within Big Data projects, leading to faster and less costly deployment of solutions.

A grow-with-the-flow pay per use model, fully managed by Dynactionize, means no heavy infrastructure spend and no hacks in the data model.

And, if you need further business peace of mind, we handle all the technicals – from indexing to data redundancy, to back-up and availability…