|
|
|
14 June, 2018
While carriers are keen to play a leading role in the Internet of Things (IoT) and smart cities markets, they may be bypassed by other market players if they do not act. And while a new white paper from ABI Research urges carriers to adopt new strategies to establish their position within the IoT (more…)
15 May, 2018
Although the promise of 5G is both expansive and highly attractive, commercial deployments at significant volume and coverage still remain more than a year away and many markets will not see the technology widely deployed for at least five years. Therefore LTE is the reality in many markets for the foreseeable future.
(more…)
04 May, 2018
Mobile operators are faced with a series of challenges that hinder their ability to monetise mobility. Markets are saturated so growth is gone and, in some markets, the cost of providing a bit of data is already greater than the revenue doing so can generate. (more…)
12 March, 2018
Tutela worked with a number of partner applications (with its software embedded) at the recent Mobile World Congress 2018 in Barcelona to gather data points and insights during the conference. (more…)
07 February, 2018
Global mobile operators collectively lose tens of billions of euros annually, to customer churn. The impact of churn on a mobile operator’s profitability is of consequence.
Churn impacts the operator’s financials in several ways. Firstly, operators lose the future revenue that a churned customer can provide. Secondly, all the marketing investments and resources used to acquire the customer are lost.
Operators typically spend astronomical amounts on getting customers, even though the cost of retaining an existing customer could be as much as 50 times lower than acquiring a new client. This is a vast, yet relatively unexplored and potentially profitable opportunity for mobile operators.
Systematic churn prevention requires predicting and behavioural modelling based on a vast amount of data living in several locations on the network, and gets continuously updated.
Could artificial intelligence and big data be applied in an economical way to help operators turn around their churning customers? This needs dedicated resources and investments in big data analytics and machine learning, which would be able to detect low signals and see correlations that normal rule engines or humans cannot see.
Please note: Report can only be read by users who have logged in.
Registration is free via the form on the rightbottom!
29 January, 2018
Communications Service Providers (CSPs) are constantly faced with the twin challenges of controlling costs and the need to make constant adjustments to their networks through the introduction of new services, upgrades to existing elements and boosts to capacity and coverage. (more…)
04 December, 2017
A common mistake in the communications service provider (CSP) market right now is to target digital transformation as the end game for the industry. The reality is that digital transformation is simply an enabling step for the far wider-reaching digital revolution which will have far greater impacts not only on the telecoms industry but on how business is done and how we live our lives.
Please note: report can only be read by users who have logged in.
Registration is free via the form on the rightbottom!
01 December, 2017
Delivering the customer centric bill
As communications service providers (CSPs) turn to customer experience as the key differentiator in increasingly competitive markets, attention has once more returned to telecoms billing. (more…)
01 December, 2017
No one has missed the telecom industry’s big hope that Big Data and Artificial Intelligence (AI) will come to the rescue and improve the current level of service assurance in the service provider domain.
Service assurance systems are promising everything from real-time service health information, inferred from low-level resource event data, to digital customer service assistants. This white paper assesses the realism and viability of such approaches.
We start by defining service assurance itself and by describing the types of service assurance systems available on the market today, in terms of what questions they can answer and what kinds of data they provide. Next, taking a strictly fact-based and neutral, engineering view of the topic, we look into what may be possible with Big Data and AI and what is not realistic – in terms of cost as well as resources.
We therefore discuss what questions should be answered by service assurance systems and what kinds of data we can pull from the network as input to provide these answers. We also summarize the roles of Big Data and AI in the context of service assurance.
Finally, we introduce the missing piece in service assurance today: active testing and monitoring. Active testing and monitoring addresses the question: “Are we meeting the level of service quality we promised?” We describe how this activity complements the data landscape derived from the service assurance stack with precisely the kind of pertinent and high-quality data that is missing.
We close the white paper with a brief look at some of the relevant results from a recent NFV Service Assurance and Analytics research study and survey completed by Heavy Reading in October 2017. The findings of the survey and the industry’s views on what is needed to satisfy the fundamental goals of service assurance are discussed in relation to the research and findings of this white paper.
Please note: Whitepaper can only be read by users who have logged in.
Registration is free via the form on the rightbottom!
29 November, 2017
Mobile Video Index report highlights trends and insights from more than 30 live deployments globally.
Analysis of live operator data conducted by mobile data traffic management solutions provider, Openwave Mobility has found that 38% of all mobile video traffic globally is now High Definition (HD) – far beyond what mobile operators had predicted.
