Rapid to deploy
On-demand platform delivers business value in days from initial engagement.
Our unique on-demand and modular application platform delivers business value in days from initial engagement rather than months, at low up-front investment which enables profits to grow at a faster rate. As a Cloud-based platform, we deliver fully managed platform service that accessible by users through secure on-line interfaces.
The team comes with a wealth of telco experience to transform business analytics and provide SP companies with greater insight into their data, easily and cost effectively. The team has over 100 years of experience, spanning from inventory, fault and performance management, network probing, network analytics and data warehouse technologies.
On-demand platform delivers business value in days from initial engagement.
Cloud based delivery is a fully managed service accessible by users through secure on-line interfaces.
Low up-front investment enables revenues to grow with known solution costs.
SmartApps provide instant access to business insights for customer who already use the show.me platform.
Today, around 75% of organizations across all major industries are embracing new big data innovations including predictive analytics, business/data modelling and data virtualization. SmartApps library provides business insights on-demand to monetize data and drive new efficiencies. Here are below some example of Smart Apps;
The ability to target micro market segments requires highly detailed data associated with a subscriber. Relying only on information within the billing and CRM systems is not accurate as often bill owners are corporate or heads of families, not the users.
WCS takes network data associated with subscribers giving CSPs the ability to get detailed profile information on each subscriber to profile them. Establishing the age, gender, interests, social network, application usage and many other data attributes.
CSPs can provide segment data that can then be targeted by brands.
Brands have available to them rich information on who visits their own websites, what they look at and how long they linger on each page. They however struggle to get the same information on rival sites.
WCA provides brands the ability to understand subscriber traffic on its rivals’ websites and associate the profiles of those users.
Brand are able to create better offers to target potential customer and to track the effectiveness of their own marketing campaigns.
Understand the number of people, their individual journeys and their profile, who enter or could pass a location is very complex and expensive to find out. This is used for locating retail or other location-based services, or for providing geo-based advertising services. In addition, attendees of large outdoor events can be targeted for surveys.
LPA uses network data to profile subscribers and matches this to a location at a specific time or is able to set-up a geo-location that triggers a flag when subscribers enter a specified location.
Brands searching for a location for their business can reduce the risk and cost of securing sites. Advertisers can increase effectiveness of their advertising and outdoor event organizers can understand in detail about attendees.
A billboard’s value to an advertiser is based on the potential of an audience that are interested in their goods and pass that specific location. Reliable detailed data has been expensive to obtain.
SGS provides detailed profiles of subscribers passing a location enabling advertisers to calculate the value of each billboard to a brand. Moreover, where profiles change throughout the day different content can be dynamically changed if the site allows for it.
CPSs can offer advertisers and billboard owners detailed valuations of sites as a service.
Brands increasingly need to provide more effective use of advertising and marketing. Understanding significant events of individual subscribers in a timely manner enables brands to create offers that react to the context that the subscriber is within.
SCS takes network data associated with subscribers giving CSPs the ability to get detailed profile information on each subscriber to profile them. Building on established attributes, but also the context, such as which website they may be on, what apps they are using or how they are communicating on their mobile devices.
CSPs can provide timely data on the context of each subscriber with given profiles.
Understanding subscriber journeys requires in-depth survey work over long period of time. The ability to understand the complete journey from end to end is hard to obtain regardless of transport mode.
City and regional planners of transport systems need detailed understanding of traffic flows across large areas. In addition, understanding the potential impact of changes to transport routes needs to understand related routes.
SJS provides detailed profiles of subscribers with start and end locations, by time of day. Analysis is also possible on the mode of transport they subscriber have taken.
Transport planners, bidders on transport franchises and large event planners are able to better assess the implications on transport requirements.
New subscribers have a higher risk to churn in the first few months of joining a CSP. Reducing the rate of churn on new subscribers is important, having won them.
PCA uses network data to monitor new subscribers to pick-up poor configurations, poor service KPI’s and network issues to provide an indicator of a likelihood to churn. This compliments other churn models which use billing, recharge and level of credit in subscriber balances as data pointers. New subscribers are also profiled to give an early indication of their categorization.
CSPs will be able to reduce the churn rates in new subscribers and retain on-going revenues.
Subscriber’s perceived view of a service is not the same as a CSP view QoE. Understanding the impact of network issues to each subscriber has been too expensive to achieve.
SEA takes key network events that impact a subscriber’s QoE by leveraging on pattern search algorithms (e.g. multiple silent calls, length of call setups, impact of consecutive dropped calls, etc..). In monitoring trends in data patterns an index of the subscriber’s experience is created. CSPs can use this to target subscribers with differently.
CSP’s provide proactive care to reduce potential churn. Including automated SMS messages, proactive customer care calls or as an indicator in CSR systems. It can also be used in CEI as a key performance indicator.
It is well known from a statistical standpoint that a small set of subscribers will tend to consume a significant amount of network bandwidth. According to network surveys, subscribers that are part of this category, known as “Bandwidth Hoggers”, match a 5-50 rule which stands for 5% subs generate 50% of network data traffic.
STP segments subscriber based on ARPU, persistency, activity factor, location-clusters, used device, consumer traffic profile, allowing CSP to understand why hoggers are using so much data. In some instances, this may be desirable where they are using a CSPs video services for example.
CSP can make data driven business decisions on each subscriber. This includes creating network policies for throttling, deploying local Wi-Fi hotspots or building new base stations.
CSP networks are sized and optimized in order to deliver, to the subscribers, bandwidth for data services. The ability to measure and assess real traffic indicators versus target figures used at planning stage is a key capability to increase effectiveness of corrective actions on networks.
NUA’s multi-dimensional data insights are used to discover unexpected trends or usage patterns of the network resources, for each cluster or technology layer. Insights are on subscribers: presence, interest, main data consumption patterns (e.g. entertainment, social network, browsing, etc…), main application busy hour.
Network Planning and Quality/Optimization teams could leverage these Insights to assess if network sizing and optimized from a configuration standpoint to deliver content that subscribers are expecting.
Subscriber devices are the gateways in accessing mobile network services. Detail device information is hard to obtain and maintain for CPS when they don’t sell devices.
SDA detects and profiles each subscriber device by looking at network data.
CSP’s can correlate outliers and anomalies that are potentially affecting or limiting subscriber capabilities to fully access Network services. This enables marketing teams to accurately estimate the take-up of new services based on devices. It enables them to target specific device groups for upgrades and promotions.
Network Planning teams can use device data to consider network designs in certain areas.