A NEW BREED OF ANALYTICS FOR A NEW BREED OF DATA.

Niometrics' Deep Network Analytics puts data in your control, whatever your organisation’s data requirements may be. Our proprietary, fully-integrated technology stack processes high volumes of rich data streams, giving you unprecedented real-time oversight, scalability, and efficiency.

A Unique Full-stack Approach.

End-to-end control. Hardware agnostic. Plug-n-play ready.

Niometrics’ end-to-end technology stack is purpose-built from the ground up for a seamless value chain of data extraction, interaction, mediation and visualisation, avoiding the integration pitfalls CSPs face with fragmented, multi-vendor generic, legacy big data tools.

Niometrics Approach

Vertical Specialisation for
Network Analytics

Traditional Approach

Multi-Vendor and
Fragmented Systems

Knowledge Plane Empowerment.

Analytics for Digital Transformation.

Mainstream signalling-centric probes and network troubleshooting tools obscure the business value of CSPs’ network-generated data.

Niometrics’ Deep Network Analytics Technology differentiates by surfacing multi-dimensional data attributes, such as consumers’ digital preferences and IoT trends. CSPs can make smarter decisions for new monetisation models and network transformation with the help of augmented intelligence.

Evolved Visibility

Multi-dimensional

Evolved Visibility

>25 K

APPLICATIONS & COMPONENTS

>28 K

DEVICES AND IOT

>15 M

DOMAINS

Multi-dimensional

  • HOUSEHOLD & USERS

  • LOCATIONS & NETWORK ELEMENTS

  • ACCESS TECHNOLOGIES

Distillery of Massive Data.

Analytics on the Edge.

As data continues to grow exponentially, it demands more efficient methods of processing – such as streaming video analytics and IoT-related sensor analytics for designing context critical triggers, resource allocation, and campaigns.

Niometrics’ edge analytics give CSPs the speed advantage of going from trillions of raw metadata to first-order events – and from first-order events to aggregates – in a split second, without compromising on accessibility, retainability, and timeliness of critical data.

Real-time

  • EVENT STREAM INDEXING

  • INSTANT QUERIES

  • IN-MEMORY ANALYTICS

  • EVENT TRIGGERS

Big Data, Small Footprint.

Data-intensive experiences are going to drive data traffic at exponential growth rates. We have engineered our DNA technology to be highly performance-scalable so that infrastructure costs do not commensurate with data traffic growth.

Efficiency

80%

LOWER HARDWARE FOOTPRINT

  • SCALABLE ANALYTICS TECHNOLOGY

  • MODULAR

  • CUSTOMISABLE