The Challenges of Big Fast Data for Telcos

Communication Service Providers are faced with handling ever increasing data volumes across the mobile ecosystem. Kx technology, designed from the beginning to handle the massive scales and speeds associated with demanding real-time stock trading, is ideally suited for big fast data challenges.

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BRINGING TELCO DATA TO LIFE WITH Kx TECHNOLOGY

NETWORK OPTIMISATION AND PLANNING

Intelligent Network Planning is critical in enabling CSPs to proactively plan their network investment, develop build schedules, and introduce new technologies. A core component of this planning activity is forecasting traffic loads and identifying quality targets based on the ingest, storage, and analysis of historical data.

From a real-time perspective, CSPs need to be able to offer solutions such as base station power optimization - adjusting base station power levels to minimize congestion and maximize quality through real-time analysis of current active and passive subscribers/content.

Kx has a 20-year track record of being able to process huge volumes of real-time and historical data.

MOBILE NETWORK MONETIZATION

Operators are interested in finding new ways to leverage the mobile data collected in their network. Being unable to take advantage of this data in real-time means lost revenue opportunities.

Kx for Telco can help CSPs monetize their mobile network by combining advertiser information, browsing content, demographics and geolocation data in real-time.

Understanding subscriber behaviours and personalising or simplifying subscriber interactions are fundamental to improving customer experience.

By consolidating and correlating data from a multitude of interfaces, CSPs can improve service quality, identify unplanned events, and provide more attractive service offerings to increase customer loyalty and retention.

Kx technology can be used to ingest, analyse and aggregate information to deliver solutions such as SIM Swap Prevention and Churn Reduction.

IMPROVING CUSTOMER EXPERIENCE

Understanding subscriber behaviours and personalising or simplifying subscriber interactions are fundamental to improving customer experience.

By consolidating and correlating data from a multitude of interfaces, CSPs can improve service quality, identify unplanned events, and provide more attractive service offerings to increase customer loyalty and retention.

Kx technology can be used to ingest, analyse and aggregate information to deliver solutions such as SIM Swap Prevention and Churn Reduction.

BIG DATA ANALYTIC SOLUTIONS

Telcos want to be able to analyse network, service, customer, and regulatory data in real-time in order to effectively manage their businesses. Kx for Telco can assist CSPs with consolidating disparate data sources to generate insightful reports and analytics.

These “big data” analytics can be coupled with traditional data modelling techniques to offer comprehensive analytics across multiple databases in real-time.

CSPs can receive results in seconds and minutes, instead of hours and days.

Kx TECHNOLOGY

The basis for Kx Technology is a unique integrated platform which includes a high-performance historical time-series columnar database called kdb+, an in-memory compute engine, and a real-time streaming processor all unified with an expressive query and programming language called q.

Designed from the start for extreme scale, and running on industry standard servers, the kdb+ database has been proven to solve complex problems faster than any of its competitors.

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Performance

The performance is built in.

Kx's time-series database is optimized for Big Data analytics. The columnar design of kdb+ means it offers greater speed and efficiency than typical relational databases. Its innovative native support for time-series operations vastly improves the speed and flexibility of queries, aggregation, joins, and analysis of business information – be it structured, semi-structured, or key value data.

Kdb+ is different. Its built-in functional array language, q, includes a superset of SQL that operates directly on the data, removing the need to ship query results to other applications for analysis. Kdb+ and q make full use of the intrinsic power of modern distributed architectures, delivering unparalleled performance, proven again and again in industry benchmarks and real world experience.

Scalability

Getting bigger without getting slower.

The design of kdb+ allows it to easily scale horizontally and vertically as data volumes grow, without losing performance.

Banks, trading firms and financial institutions have used Kx technology for lightning fast processing of vast amounts of data for over two decades, before the phrase "Big Data" was even coined.

Today sectors including retail, utilities, telecommunications, pharmaceutical, oil and gas, and genome research are adopting kdb+ to solve their Big Data problems as they find more stack-based architectures are proving too expensive and slow to scale efficiently.

Single Platform

On disk. In memory. Streaming.

For many businesses, the promise of Big Data analytics was the ability to use both streaming and the vast amounts of historical data effectively.

However, the reality found by many is having to install a stack of different solutions from different vendors. Each layer in the stack brings its own set of compatibility, maintenance, and support issues, often requiring a plethora of different skill sets. Kx Technology can address every part of the data-stream as it passes through the business, in a single unified architecture.

Historical disk-based data, in-memory databases, the complex processing of events, and real-time streams are all managed by Kx using just one underlying technology. Analysis of historical trends can be re-used for real-time analytics, creating tremendous reductions in development time and ongoing maintenance costs.

Kdb+'s exceptional speed in analyzing data, wherever it is stored, enables businesses to visualize its complexities in ways they found impossible before.

Lower TCO

More costs less.

When choosing a technology platform, a seemingly difficult balance needs to be achieved between the bottom-line impact of real world costs, and the top-line benefits of rapid delivery, high performance, and ability to meet the changing requirements of the business. Kx Technology demonstrably allows for both, without compromise.

Our market-leading efficiencies of hardware utilization, the lower footprint, the lower maintenance and operational costs coupled with the otherwise unheard of productivity with developing in the kdb+ environment means that a Kx implementation will always work out to be more cost effective than alternatives.

In conjunction with this, the Kx Technology platform has both the tooling and the underlying language, q, that our customers tell us enables for the very rapid development of full solutions, thus delivering to the business the rapid change ability that the top-line demands.

Kx offers a 32-bit version of kdb+ for free so you can try it for yourself and see how powerful and fast it is. This download has all the compatibility and functionality of the full 64-bit version, and is for non-commercial use only. Click below to download Kdb+ today.

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LATEST NEWS & THINKING

FD announces a strategic acquisition to expand its Telco product offering

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FD (AIM:FDP.L, ESM:FDP.I) announces that it has acquired the entire issued share capital of Telconomics09 S.L (“Telconomics”), a privately-held provider of telco analytics software, for a total consideration of up to €2.5m. The acquisition is expected to be earnings enhancing in its first full year and forms part of the Group’s continuing strategy to target […]

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Takeaways from Mobile World Congress 2017

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Industry watchers at Mobile World Congress 2017, an influential mobile ecosystem event, saw a major shift in focus this year from mobile to connected devices, edge computing, applications and enabling technology providers.
A common denominator across the conference was the need to analyze and manage data to support innovative applications and make use of available connectivity and connected devices. A challenge and opportunity is: ‘How can Big Data be used to unlock a competitive edge and create a profound customer experience?’

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