The technology behind Zen

Find out more about the core components of Zen

Zen big data software provides a fully integrated framework of high speed data collection, data management, data automation and market leading visualization. The software has been built by highly qualified engineers, specifically designed to meet the rapidly expanding needs of CSP’s.

Zen software structure


Zen technology consists of four key components:

Zen Integrate – High volume data collection, processing and aggregation

A modern mobile network has hundreds of data streams, with millions of counters to be captured and recorded on a daily basis. Zen Integrate uses a powerful rules based logic to achieve this, collecting and mediating data from any vendor, for any technology, over any domain.

  • Up to ten times the data loading performance compared to traditional platforms.
  • Reduced disk space requirements due to natural data compression.
  • Structured data storage using hp Vertica database solution.


Zen Impulse – Real-time, user friendly data automation

At the heart of Zen lies its patented data automation engine. Zen Impulse uses this powerful technology to alert users to data spikes, data troughs, deviations from the norm and performance degradation trends. Zen can be programmed directly from the user interface to define the desired scenarios to monitor. It then proactively collects and analyses the relevant data streams, and automatically alerts the user when any of the defined scenarios materialize.

Zen also boasts low level event filtering, offering a selection of filter types including:

Blocking – A blocking filter which suppresses events which match the alarm selection definition.

Accumulation – A time and volume filter that accumulates alarms over a specified period. Alarms are only then released if the number received meets the threshold within the defined time period.


Zen Intellect – Complex automation and predictive analytics

The Zen data automation engine can go one step further, and identify the root cause of an alarm. Intelligent proximity correlation allows users to define physical and logical links between every network element, building a topology of the entire network. This works like a hierarchy, linking cells to cell towers, to base transceiver stations, to base station controllers and so on, all the way through the network. The user can then define multiple hypothesises in which this hierarchy is used to identify the root cause. For example ‘if 80% of cells in area X alarm, the root cause must be at the base transceiver station Y’

  • Improved resource allocation by directly identifying the root cause of a fault.
  • Constantly improve network management with a system which remembers fault patterns.
  • Drastically reduce incoming alarms by suppressing irrelevant alarms below the root cause.

It is also possible to use Zen for predictive analytics, so a real world problem can be predicted with confidence, and corrective action can be taken before a root cause is even generated. This prediction capability adds significant value to Zen, improving network utilisation and QOS, and thus reducing customer churn.


Zen Insights – Business Intelligence

To really make use of big data it must bee seen in pictures, since the human brain cannot process and interpret the high volumes in any other way. Zen brings market leading visualization to the telecommunications industry. Visual reports and dashboards allow users to quickly and easily identify movements in performance, peaks and troughs in data and geographical trends. Zen offers two user levels, allowing ‘desktop users’ to create and manipulate new reports, and then publish them to ‘server users’ to work with on a daily basis. This allows control of information flow and measured metrics across the business. A vast range of visualisations are available to enhance data usability including; interactive tables, bar and column graphs, advanced mapping and heat maps.

  • Easily turn huge data tables into insightful visualisations to rapidly identify faults and performance issues.
  • Use drill-down functionality to navigate through multiple layers of data.
  • Produce concise and relevant reports for management.