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.
Kx for Telco enables CSPs to proactively plan their network investment, develop build schedules, and introduce new technologies and services such as 5G and IoT.
Our Telco solutions can ingest, store and analyse hundreds of network metrics such as service traffic over time, session data, geolocation, cell configuration, interference, noise, signal strength and many others, for each cell of the network with maximum time granularity, allowing mobile operators to supervise network performance in real time and to make statistical inferences to more efficiently manage their network. User quality data can also be included in the analysis to enable detailed mathematical modelling of network quality of services.
Kx for Telco solutions can implement processes for automatic identification of network underperformance, diagnose and remedy actions and define network deployments based on performance and quality targets.
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.
Using Kx for Telco, CSPs can correlate geolocation data and network data with advertiser information, browsing content and demographics data in real-time.
IMPROVING CUSTOMER EXPERIENCE
Understanding subscriber behaviours and personalising or simplifying subscriber interactions are fundamental to improving customer experience.
Kx for Telco allows CSPs to build a mathematical model of customer quality for their network. By consolidating and correlating data from a multitude of interfaces, CSPs can evaluate customer satisfaction, reduce customer churn, improve service quality, and provide more attractive service offerings to increase customer loyalty and retention.
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 and can be used, amongst other things, to identify trouble spots in networks or to visualize various patterns in the data.
As a result, CSPs can receive answers in seconds and minutes, instead of hours and days.
In addition to our telco platform and solutions we can provide strategic and technical consultancy services to help you improve your business. Kx can provide highly experienced teams to work with you on:
Strategic consultancy across the evaluation and integration of business acquisitions, business models for new Telco operators or MVNOs, technical-economic viability plans and business and demand scenario analysis.
Technical consultancy focused on the auditing of network and services, the definition and implementation of network planning and optimization processes and the analysis of new technologies and technological solutions.
Service assurance monitoring and detection of errors and inefficiencies across all operational areas - from service contracting to invoice.
Quality benchmark assessments to determine empirically and statistically the differences in the quality of services provided by operators.
Featured Resources for Telco
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.
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.
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.
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.
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.
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 […]
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?’