Telecommunications in the Extreme Data Economy

Gain insight by utilising the massively parallel GPU processing brought to you by the Kinetica Active Analytics Platform to yield lightning-fast truly real-time data analytics.

In a highly competitive industry built on the movement of data, fast insights on that data is essential for many business functions.

Kinetica’s GPU-accelerated database makes it possible for telcos to derive insights from vast volumes of complex and streaming data in milliseconds. Some salient features of interest are:

A Streaming Analytics Database, Ideal for Telecommunications - Ten to one hundred times the query performance on a smaller hardware footprint (compared to even the most advanced in-memory analytics databases).

Lightning Fast Query - In tests, Kinetica returns results for advanced analytical queries on billions of rows of data in well under a second.

Ideal for Streaming Data - Parallel ingest and reduced reliance on indexes means data on Kinetica is available for query the moment it arrives.

Accelerate Business Intelligence - Business users can easily write queries with SQL, integrate Kinetica with popular BI software such as Tableau, or use custom apps leveraging the native RESTful API.

Geospatial Visualisation - Visualise patterns on geospatial and temporal data. Kinetica harnesses the GPU for query and drawing geospatial display of vast volumes of data.

High-level Kinetica Architecture:

Use Kinetica for lightning-fast, location-based data analytics encompassing the following key use cases, amongst others:

There are two main limitations that can have a negative impact on telecom revenue:

1) Lack of timely insights.
2) Delayed response time to customers.

Use Kinetica to combine social media feeds, call detail records, network performance data, and call centre interactions to identify declining usage and pinpoint the customers who are the most likely to defect, so that they can then address customer satisfaction issues and take appropriate steps to prevent customer churn.

The Kinetica platform can augment discovery with machine learning, location intelligence, and visual discovery.

Telcos can use Kinetica to collect and analyse real-time data in order to detect anomalous behaviour.

Baseline normal behaviour can be modelled through the analysis of customer account data, location specific data and usage data.

Kinetica can then enable the development of predictive models that can flag and proactively prevent fraudulent activities.

Track and visualise the real-time usage and status of telecommunications networks/towers in order to gauge performance levels and identify any bandwidth or maintenance issues.

Kinetica’s flexibility to rapidly perform predictive analytics enables telcos to identify equipment before it fails for lower service disruptions and lower maintenance costs.

The Kinetica platform can analyse network/cell performance to determine profitability across geographies for future tower site planning.

Cell phones can be “polled” on demand to determine the health of the cell phone network. Kinetica’s GPU cores can crunch this kind of data far more efficiently and quickly than CPUs, so results can come back in milliseconds instead of hours.

Use Kinetica to quickly identify network problems, better understand usage patterns, and more.

Kinetica’s vectorised columnar data store is ideal for large volumes of streaming high cardinality data, such as call data records.

GPU acceleration ensures low latency between ingest and time to query, allowing for sophisticated analytics on live data.

The geospatial analysis and visualisation of massive data sets can enable analysis of network coverage versus consumption to identify location based marketing opportunities.

Use the Kinetica Active Analytics Platform to:

Enable real-time BI dashboards with streaming IoT devices and geospatial discovery to increase operational margins and lower maintenance costs.

Remove traditional bottlenecks of data processing that hamper discovery using BI tools, by moving data computation to a GPU powered engine.

Leverage Machine Learning native analytics for predictive maintenance.

There is a staggering amount of IoT data that “smart cities” will need to process.

Making sense of that data is at the heart of any successful smart city.

As telecommunications companies support an ever increasing network of communicating devices, Kinetica is ideal for capturing that data and enabling fast insights to be made available as services to cities.

Telcos are exploring, packaging, and selling anonymised subscriber data to other vertical markets such as advertising, retail, financial services, public services, and healthcare.

Cell phone device location data can be combined with other subscriber data to provide information on what stores a subscriber visits, at what time of day, and where the subscriber lives.

For example, Kinetica can be used to provide real-time heatmap data that show who is visiting a retailer’s store and where they live.

Data from a shopper’s visit to a particular store can be combined with web browsing data, which can help retailers to provide customers with targeted ads, or help them to determine where to open new retail locations.

Telcos can use Kinetica to collect and visualise real-time data in order to identify the periods of heaviest network usage, forecast network capacity, and plan for potential network outages or short-term surges.

Although a traditional RDBMS can perform these types of tasks, Kinetica’s difference is that it can process data in near real-time.

Kinetica is particularly well suited to location-based analytics to visualise billions of data points and display changes in real-time as the underlying data changes at many orders of magnitude faster than a traditional RDBMS.

By integrating a multitude of complex data sets and quickly visualising this data, Kinetica can provide telcos with a real-time dynamic view of their operations by providing:

Interactive query on large and complex data sets so you can interactively explore problems.

Fast query on data immediately as it arrives, so you can spot call drops, redials, etc.

Location-based analytics which allow towers and cell locations to be visualized and interactively queryable on a map.

The following playlist shows some features of Kinetica Active Analytics for Telecommunications in action:

To find out more, arrange a demonstration, or investigate a proof-of-concept for your specific use-case please get in touch.

A full range of Kronva services are available both in the cloud and in on-premises environments. They can be found here.

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Telecommunications in the Extreme Data Economy

Gain insight by utilising the massively parallel GPU processing brought to you by the Kinetica Active Analytics Platform to yield lightning-fast truly real-time data analytics.

Why You Should Choose Kronva

Just a few of the reasons we’re leaders in database and data management...

Client Testimonials