Posted: November 1st, 2012 | Author: Malla Poikela | Filed under: Events | Tags: analytics, CIQ4T, contextual intelligence, mobile broadband, policy control | Comments Off on Join Comptel at the Global Broadband Traffic Management Congress!
From 6-8 November, the Comptel team will be participating in Informa’s flagship Global Broadband Traffic Management Congress (BBTM) at the Royal Garden Hotel in London. While communications service providers (CSPs) have seen success with the rapid uptick in data usage, they are simultaneously seeking ways to better manage and monetise these services. BBTM offers the opportunity to explore the latest developments for changing the path of diverging revenue and traffic growth curves, and learn more about the policy control and charging tools available to help deliver mobile data, optimise quality of service and the customer experience, and boost CSPs’ bottom lines.
Comptel not only will be on hand at booth #14 to discuss the latest data pricing models, congestion management, Big Data and analytics, real-time charging and service personalisation and more, but also will present alongside the more than 100 speakers (including 50+ from CSPs) during the Congress. On Tuesday, 6 November, at 16:25 (Track B), Simo Isomäki, head of global business support, will elaborate on the crucial role of predictive analytics and contextual intelligence in relation to policy control and charging, and how CSPs can gain actionable insight from customer behavioural patterns to personalise and monetise broadband services. Simo will also take part in a Track A panel session on the obstacles for two-sided business models that same day at 12:30.
BBTM is a tremendous forum for networking with others across the mobile broadband ecosystem. We would be delighted to meet you at our booth or have you attend one of Comptel’s presentations. Enjoy the event, and please contact firstname.lastname@example.org should you like to arrange a more thorough discussion about Comptel’s comprehensive portfolio of Customer Engagement solutions and how we apply our CIQ4T approach to policy control and charging.
Posted: October 11th, 2012 | Author: Andrew Gavin | Filed under: Events, Industry Insights | Tags: Africa, analytics, CIQ4T, contextual intelligence | Comments Off on “Minding” Your Own Business
A few months ago in a blog where I discussed the need for more service personalisation, I admitted that it was tough for operators to engage effectively on a more personal level because I myself “don’t always know what I want until after I have experienced it – or what I had is taken away” …
I also, however, suggested that it is possible and operators should be empowered with “mind-reading abilities”!
Let me illustrate with a totally non-OSS related example: my 6 year old son. Unlike a lot of his friends (and his parents), he is totally disinterested in food. However, over the years, we have observed that when he gets hungry, he starts to get unreasonable and emotional. He never says he is hungry or asks for food, but we have learned that when he starts behaving that way and he has not eaten for a while, that giving him a snack returns him to his usual good natured self.
In this example, my son apparently does not know what he wants or needs (un-communicated needs) – and feeding him any other time is of course pointless too (context).
1. Learned (and re-learned) this behaviour using our human intelligence i.e. we do not use a list of rules to identify the situation;
2. We take into account the context i.e. when he last eat or whether his sister had just bitten him again;
3. We act then and when it is needed.
And this is a pretty good example of the “mind-reading” capabilities Comptel’s Contextual Intelligence for Telecommunications (CIQ4T) can offer operators: LEARN, examine the CONTEXT (in real-time) … and ACT.
I will be manning the stand for Comptel (C05) at AfricaCom in Cape Town from the 13th-15th November and would love to discuss further how Comptel can provide operators with “mind-reading” abilities for more personalised customer engagement.
Posted: September 26th, 2012 | Author: Mateen Wajahat | Filed under: Industry Insights | Tags: analytics, contextual intelligence | Comments Off on Big Data Influx in Marketing Department
A recent article in Harvard Business Review (HBR) claims that Marketers are having some trouble in adapting to the “big data” influx
The article outlines how some are under using while the others are over using the information available to them. The middle-liners are hard to come by and are of immense value to the CMOs who are constantly looking for people who can filter out noise, have the ability to interpret and ask the right questions based on data and focus on goals.
There are a variety of tools and solutions available to the marketers. However, Comptel Social Links
offers some unique insight into the maze of data by filtering out the unneeded information and suggesting the right marketing activity at the right time. For example, communications service providers have the privilege of having very precise customer data. When call data records (CDRs) are combined with, for example, location information and the actual Quality of Service data, communication service providers can create detailed customer profiles and advanced segmentation. These measures alone improve return on investment of marketing actions dramatically.
However, here is my favorite part: Comptel Social Links also identifies the most likely targets of any marketing activity. And the magic doesn’t end here. Not only does the product identify the most likely targets, but it also points out those who are most likely to respond positively to selected upselling, cross-selling or churn prevention marketing actions. And the cherry on the top? Comptel Social Links is a fully automated and self-improving product, fuelled by years of research on machine learning.
If you look at Comptel Social Links from CMO’s perspective, this is the stuff of legends. Here is something that frees up the marketers from the efforts of noise filtration, provides them with crystal clear, authentic, usable information and does so seamlessly and in an automated fashion. With a little help from Comptel, the marketers are well equipped to take on the challenges thrown by data influx!
Posted: September 21st, 2012 | Author: Simo Isomaki | Filed under: Events, Industry Insights | Tags: analytics, BSS, CIQ4T, contextual intelligence, Customer Experience Management, policy control | Comments Off on Contextual Intelligence Gets Personal
Earlier this week , I was speaking at 16th Annual Nordics & Baltics Telecom Executive Forum in Copenhagen about Contextual Intelligence. A colleague of mine, Malla, did a great blog about it before the conference, but I thought of giving a bit of a different view of my day…
Time: 08.00, UTC+2, Helsinki
Story: I woke up – and being a family dad taking care of the morning routines for my kids.- and having breakfast with them, all the while waiting for the nanny to arrive and for me to start my regular working day.
Context: Travel Organizer
Time: 08.15, Helsinki
Story: It was time for me to leave to the airport. I took my laptop bag, gave a hug to the kids. I checked my bags, airline tickets, USB sticks, passport and all other necessary stuff for the trip and ensured they were rather well packed to ensure smooth transit at the airport. I then jumped in to a taxi and waved my family bye-bye, knowing I’d return the same day.
Context: Business Traveller
Time: 08:40, Helsinki
Story: At the airport I had done the check-in’s the day before and moved rather quickly through all the necessary security procedures to be early at the gate. I noticed that I had a plenty of time and I chose to go through the story I was going to present one more time over a cup of coffee.
Context: Aircraft enthusiast/spotter
Time: 09:40, Helsinki
Story: When going to the plane by bus transfer I happened to think about the plane I was going to take:. a Bombardier CRJ 200, 1st trip for me on this type. The type turned out to be a rather familiar configuration among the CRJ types I’ve flown before and also similar to many other smaller regional jet configurations. Inside there is a 2+2 seater configuration and I had the aisle seat on row 10, mid-plane.
Context: Storyteller for conference
Time: 10.00, Helsinki
Story: I thought of the topic I was presenting and wondered about the angle to take. I had had many go’s at this, but I had a new idea based on my day. I felt pretty much like sitting on a bus on my way to a customer meeting in the ‘neighboring city’, especially when considering the price tag of the flight: a whopping 49€ (two-way) plus taxes. The fare is also split between the airline and airport, so not a lot. I made a comparison in my mind between how far I would get with about 40€ using long-haul busses or trains and this flight. The conclusion was that air travel is at least as cheap as or even cheaper than busses and trains, especially for comparable distance and speed. Right there and then I realized that I was ‘riding a bus to Copenhagen to give a speech’.
Context: Travel organizer trying to be in the right place at the right time
Time: 10.30, UTC+1, Copenhagen
Story: Knowing I had a customer meeting before the speech, I ‘fled from the airport rather quickly and luckily, the formalities are rather relaxed in Scandinavia, so rather soon after landing and taxing to the right stand, waiting for the bus to arrive, walking through the customs, entering a taxi after visiting an ATM to get local currency, I was on my way to the conference venue . Phew.
Context: Conference Guest
Time: 10.50, Copenhagen
Story: At the conference venue hotel, Radisson BLU Scandinavia Hotel, I announced myself to the conference organizer, material and update on my speech slot and also cleared the process of updating my slides for the speech with the organizer, just before I was to meet my customer contacts.
Context: Sales/Marketing person
Time: 11.00, Copenhagen
Story: I can’t give out many details, but I think the meeting went well with the customer representatives and I felt rather pleased having thought over the story that I walk through with them.
Context: Industry Expert giving speech to conference audience
Time: 12.00, Copenhagen
Story: My speech started on time. I gave my speech, not liking the fact I was the last speaker before lunch. That is a rather challenging position for a speaker as people may have their minds wandering to lunch, and utilized my own day, like I’m doing here, to add bit of flavor to the message. After the speech, I grabbed my gear, greeted our local team participateding in the conference and spent a few minutes with people talking about my speech and started my journey back home.
Context: Worried dad thinking can he make it back on time
Time: 12.35, Copenhagen
Story: Sitting on the backseat of the taxi, I prepared myself for as a quick run through the airport as possible. I knew I had to be on that plane if I was to relieve the nanny in time, as her employment contract pretty much is for 8 hours day. We arrived to the airport at 12:45.
Context: Just another business traveller
Time: 12.45, Copenhagen
Story: Although I was in a rush, the rest of the people seemed to be as well, so I did not get any special treatment at the airport and while I felt a strong urge to ‘run for it’, the flow of people and ‘the process’ took it’s time. I boarded ‘the bus home’ pretty much on-time, (by my calculation, I was the 3rd last person to enter), but they did not announce my name yet, nor any others.
Context: Aircraft enthusiast/spotter
Time: 13.25, Copenhagen
Story: ‘Just another A319’. I have been in so many to date, but the high-light was the comfy seat and the satisfaction, that it seemed just possible to be at home on time. And the day was pretty successful too.
Time: 13.40, Copenhagen
Story: While travelling back, I was checking out a couple of potential business trips and familiarized myself with a few key details I had to pay attention to still by the end of week. I had some coffee to help me keep focused and my mind on the key issues. Once again, this felt really similar to taking a bus and having my own ‘space’ with little interference from other people or the scenery outside. ‘The bus’ landed 10min early and I felt exhilarated to see the plane to tax to a gate nearby the exit area. Time of landing was 15.50.
Context: Mix of businessman and dad
Time: 16.10, UTC+2, Helsinki
Story: While taking the taxi home, I synchronized emails, sent a few text messages to my wife and nanny telling I would be on time, and made few business calls just to ensure things were moving in the right direction.
Time: 16.30, Helsinki
Story: Coming home, I was immediately being greeted by my kids and a rather happy nanny, who updated me on how the day had gone. I joined my family for a walk with and then later for dinner together.
This very long story has a point. 1st of all, it is no longer a big adventure to ‘take the bus’ via air travel. In a similar fashion, the way we communicate is changing from ‘vanity and luxury’ to ‘common and everyday’, even more so by generations younger than mine for example. Prices in commodity markets are known to be tight, and hence it is vital to understand the contexts in which the individual people find themselves in a much deeper and rich fashion to be able to address the exact, detailed needs of these ‘smaller and smaller segments of people’ whose contexts change within day, like mine did on this rather unusual, but still, very interesting day.
Contextual intelligence for Telco is all about understanding the fine-grained segmentation of customer base, addressing the needs of the customer within the right context and at the right time and with an attractive interaction. This makes the Communications Service Providers more important and relevant to their customers, and at the same time, makes the CSP a much more relevant party to the so called ‘OTT players’ who I’d like to call partners or customers of CSP. After all, the OTT players , also yearn for accurate and detailed information on the people using the services. This information could potentially be provided by the CSP. How many contexts do you think you have in your life? How much each of them overlap with each other and would you have different needs as a user of communication services when finding yourself in those contexts? Would it be great to have these contexts understood appropriately at the right time with the right kind of service? I would LOVE that and we at Comptel are working hard to making it a reality. That’s why we at Comptel say “Comptel – Making Data Beautiful”.
Posted: September 17th, 2012 | Author: Malla Poikela | Filed under: Events | Tags: analytics, CIQ4T, contextual intelligence, policy control | 2 Comments »
This week, 17th and 18th September, the Comptel team will participate in Marcus Evans conference ‘16th Annual Nordic & Baltic Telecoms Executive Forum’ in Copenhagen, Denmark. We are looking forward to having an interactive conference with a lot of comprehensive discussions, with particular focus on analytics, contextual intelligence, customer insights and experience and predictive policy control. The 16th Forum brings together the leading telecommunication market players, primarily from the region, to exchange experiences and share strategies to ensure profitability in a highly competitive Nordic telecom environment.
The main title of the conference ‘Manage Data Explosion and Boost IP Service Innovation to Achieve Top-line Revenue Growth’ is very promising as it incorporates a number of relevant topics that include the opportunities for service offering that are combined with the rapid data growth to boost revenue; efficient and dynamic churn management; and the proliferation of business models, e.g. the co-operation with OTT providers. Let us also not forget Big Data with all its capabilities and requirements. With a setup like this, a lively discussion is guaranteed.
Comptel’s Simo Isomäki – Vice President, Head of Global Business Support – is going to cover an actual and interesting field of topics with his speech about ‘Applying Contextual Intelligence to monetize the data and differentiate with information’. He’s going to elaborate on the crucial role of analytics in gaining insights from customer behavioural patterns and provide some concrete use case examples to address the following questions: What are the requirements for differentiation and how to explore the variety of alternatives for data monetization. We would like to welcome You to join us for this session.
We would be delighted if You visited our booth to have more thorough discussion about contextual intelligence and predictive policy control, and Comptel’s overall comprehensive portfolio. Wishing You a great and successful event !
Posted: August 14th, 2012 | Author: Matti Aksela | Filed under: Industry Insights | Tags: Advanced Analytics, analytics, CEM, contextual intelligence, CSPs, Customer Experience Management, Heavy Reading, Marketing, mobile, SNA, Social Network Analytics, viral marketing | Comments Off on The Benefits of Social Network Analytics for Marketing
Social network analytics (SNA) is becoming increasingly popular as communications service providers (CSPs) look to better understand their customers and secure a competitive edge in the market. As part of an advanced analytics approach, SNA enables CSPs to dive into the billions of daily transactions on their networks and utilise the calling patterns to identify influencers and better segment their subscribers – and ultimately realise more value.
For instance, call detail records provide CSPs with a unique insight into social interactions through the daily communication of their subscribers. This network may be even more important for CPSs than most online social networks, for example, which are just snapshots of a person’s interactions, many of which may not be very relevant, especially with regards to the activities of CSPs.
However, SNA alone is not the ultimate end-all solution and is, instead, one very valuable aspect of the larger scope of analytics. And when combined with predictive analytics, SNA truly offers a distinct advantage for CSPs. For instance, they can use SNA to power their predictive capabilities and generate insight regarding data that is otherwise unavailable on the single subscriber level. On top of this, SNA and predictive analytics can help CSPs benefit from the interactions between subscribers, help with overall customer experience management and automate operational actions to increase productivity. And let’s not forget, perhaps the best known application of SNA, viral marketing – an approach that remains one of the strongest, most effective marketing techniques. But again, it’s crucial to take into account that understanding the social network alone is not enough. Rather, when combined with the right product, predictive analytics powered by SNA can really make a difference.
Take, for instance, a teenager who texts frequently. If he or she receives an appealing SMS rate reduction that’s just right for them – perhaps one that predictive models have indicated would be suitable – this subscriber will be more likely to spread the word to those in his or her network, causing a positive ripple effect. As a result, many of these connections may pursue that same SMS rate, providing an increase in revenue for the CSP.
Ultimately, recommendations from family and friends can be far more effective than traditional advertising. In this way, combining predictive analytics and SNA can play a key role in any CSP’s arsenal. And of course, a well-executed SNA strategy balances providing personalised offers without infringing on subscriber privacy.
If you’d like to read more about combining predictive analytics and SNA— and taking this even one step further to understand and act upon the context of each interaction — download our recent whitepaper with Heavy Reading on Contextual Intelligence. What are your thoughts on SNA? Is it of value? Are there actual network influencers whose recommendation you follow regardless of the topic? Or would you say you’re more swayed by having CSPs make the right offer, and it holds more weight when the offer is recommended by those whose opinion you trust in the context of what is being offered?
Posted: July 24th, 2012 | Author: Ulla Koivukoski | Filed under: Industry Insights | Tags: 4G, analytics, bandwidth, CIQ4T, Comptel, contextual intelligence, customer experience, Heavy Reading, Making Data Beautiful, Monetisation, Podcast, Quality of Experience | 1 Comment »
In part one of our two part series, Heavy Reading analysts Ari Banerjee and Sarah Wallace discussed contextual intelligence for telecoms (CIQ4T) and how this type of approach, which provides advanced analytical insights for a holistic customer view, can improve engagement and elevate the customer experience.
Now, in the second and final installment, Ari and Sarah delve a bit deeper into what this actually means for service providers and explore some real-life examples of putting CIQ4T to work, such as monetisation, network resource optimisation and dynamic profiling with advanced analytics.
As I mentioned in one of my earlier blog posts, the telecommunications industry needs to increasingly predict what is important to customers rather than simply being reactive – and analytics plays a key role in helping to achieve this. Ultimately, turning all of this data into actionable information helps to bring people close together and furthers our goal of making data beautiful.
Like last week, you can listen to the full podcast of the conversation here or read the highlights below.
Ari Banerjee: Can you talk a little bit about the use cases that Comptel is addressing today that are more customer-facing?
Sarah Wallace: One of the first use cases is obvious but also very important, and that’s monetisation. This includes upselling to the customer, offering them something that might be triggered through some type of complaint, or offering them a new service. Another aspect of this is cross-selling – identifying subscribers and offering something they don’t necessarily need but that fits their usage pattern. So, for instance, service providers could offer a device with its own hot spot to a customer who may travel a lot.
Then, of course, there’s the aspect of new customer acquisition when it comes to monetisation. This entails identifying influencers in the network that might have a lot of off net relationships and making them an offer that will compel them to spread it virally – subsequently acquiring new subscribers.
Ari Banerjee: Beyond that, there’s the whole element of network resource optimisation. As we all know, when it comes to wireless, bandwidth management and resource management become extremely critical. Looking at the evolving wireless industry and all of its networks, 4G rollout is happening almost everywhere across the globe with LTE as the preferred route that most operators have taken.
With this comes another element of how to use spectrum, bandwidth and network resources better – especially when we look at services that are becoming more popular to enterprises or to consumers. These are really services that are low latency – those that revolve around video content and media. How do you provide expected quality of experience? All of that, again, needs advanced analytics or use of CIQ4T in a much broader way. Therefore, an OSS/BSS vendor already in the network can provide a lot more value additions for service providers.
One of the things that we are seeing operators challenged in is around cell-site optimisations. As we know, 4G networks are challenging because of things like traffic load balancing, handing over traffic between cells, determining where to put small cells – all of these need much more contextual information. So if OSS information is joined with contextual information, such as user experience, location and so forth, there’s a typical pattern of user-behaviour that can be mapped out.
Analytics can show that reducing power of one cell in favor of another cell might improve the overall network. Also, it can provide intelligent analysis around experience of a small set of high value customers who are typically using demanding services at a set time during the day, and how this can be handled in a better way based on load balancing across different parts of the network.
Subscriber-centric wireless offload – this becomes very important – and any operators who are providing 4G services are talking about wireless offload. This is because you cannot keep a subscriber on 4G continuously, it must instead be offloaded. Can this be done more intelligently using analytics? Can decisions be made based on the profitability of the customer lifetime value? Is there an SLA attached to the customer? Are they part of an enterprise contract? All of these different dimensions come through and are brought together via OSS/BSS systems and then intelligent decisions can be made based on which subscriber to offload. Again, use of CIQ4T and advanced analytics plays a major role here.
Service control based on subscriber profiles is another area that we think CIQ4T makes a lot of sense. By augmenting network data with subscriber data, utilising behavioural patterns, matching subscriber preferences and so forth, services can be tailored according to different users on the same subscriber account. So, for example, giving a company’s directors priority service compared to other employees, or managing a parent’s business applications in a different way than the entertainment applications used by their children.
So again, advanced analytics can also drive policies, which can drive service elements in the network and these can be programmed into things like policy servers for enforcement throughout the network in a much more soft-ticketed fashion.
Sarah Wallace: Some other use cases in addition to that include real-time churn prevention. This means being able to examine behaviours in subscribers who are obviously going to churn. Various elements to observe are multi-SIM prediction, rotational churn, and even churn location (do they reside in an area that has a propensity for high churn?)
Another use case is the concept of dynamic profiling with advanced analytics. This entails examining characteristics such as their usage, interests, location, socio-economic class, influence in their network (SNA), overall propensity to churn and their relationship to off net users.
Then, of course, there’s SNA which is a sub-set of advanced analytics. It’s really just looking at social networks in the sense of relationships – looking at family, friends and co-workers – and seeing what kind of influence the subscriber has in their sphere.
The last use case is advanced offer management – enabling service providers to confirm which promotions and service bundles are successful to offer including loyalty points, event and rule-based promotions, traffic-based promotions and management capability based on data subscriber network usage.
Personally, it makes me happy to think that Comptel’s software can be – and is – a part of the lives of so many people. And as consumers have different expectations for quality of experience, one of my personal favourite use cases is defining how to provide the experience that is right for each customer. Which use case do you find most appealing for CIQ4T?
Posted: July 17th, 2012 | Author: Ulla Koivukoski | Filed under: Industry Insights | Tags: analytics, big data, CIQ4T, communications service providers, Comptel, contextual intelligence, customer experience, Heavy Reading, Making Data Beautiful, OSS, real-time, Subscribers, Telcos | 1 Comment »
At Comptel, making data beautiful means transforming the voluminous amounts of information that service providers have on hand into contextual – and digestible – insight. This entails moving beyond the simple collection of data and discovering the true applications of the information.
Heavy Reading analysts Ari Banerjee and Sarah Wallace recently discussed this very topic, exploring how contextual intelligence for telecoms (CIQ4T) can elevate the customer experience through many dimensions. In this conversation, they consider how, in order to fully maximise business opportunities, communications service providers require a holistic understanding of an individual subscriber’s usage patterns, behaviours and circumstances – and the benefits this provides. You can listen to the full podcast of the conversation here or read the highlights, from part one of our two-part series, below.
Ari Banerjee: Sarah, how do you define CIQ4T especially when it comes to dealing with the communications industry and telcos?
Sarah Wallace: CIQ4T is defined as being able to understand the uniqueness of a person, circumstance or object and converting that understanding into an opportunity. That translates very well into telecoms because providers are really trying to get a better understanding of their subscribers and then translate this into an opportunity to retain customers and further monetise their opportunities with them.
Ari Banerjee: Obviously advanced analytics plays a major catalyst role here. In our opinion, advanced analytics is a key enabler for CIQ4T. It helps to navigate through the huge amounts of data that operators gather to get a more in-depth profile of the subscriber and understand factors, like their preferences and usage patterns. Then, service providers can use that data with advanced algorithms to predict future behavior patterns.
Advanced analytics implementation typically involves the creation of architecture that enables the collection, storage and integration of data sets from a variety of systems. Then, applying correlation and analytic techniques to identify patterns of significance across these data sets. Obviously, this helps to provide a root-cause analysis and to become more predictive. On top of that, all of these different processes or ways of handling Big Data help to facilitate the delivery of actionable intelligence and provide context-specific insight for end-users.
So Sarah, now that you’ve defined CIQ4T, can you talk about its key characteristics that you see in your research with service providers today?
Sarah Wallace: Sure. So in telecoms, one key aspect is the real-time capability – or being able to take all the data, process it and turn that into analysis to make offerings in real-time. And then you have the characteristic of prediction – or being able to predict subscriber behavior and allowing for optimal decision-making, when it comes to planning and designing for future offers. There’s also connecting with the customer at all touch points and having a contextual or deeper, granular understanding of those touch points to determine which action should take place next.
Of course, there’s also the ability to handle large volumes of data – for instance, combining the data from the network with other sources, such as CRM and OSS and other network elements. Then, being able to apply that data for real-time decision-making. There’s also the operational aspect of advanced analytics and CIQ4T, which based on the analytics, determines the need for action toward the customer, network and the feedback loop for machine learning.
Ari Banerjee: So what you’re talking about is being able to navigate through Big Data to provide a more predictive pattern of how someone, a network, or the subscriber will behave in the future and to understand the different parameters that make up a subscriber profile. This includes things, like his location, his action patters, and business life, how he’s using services during office hours, non-peak hours, family time – and how to basically provide more offers that are very focused on his day-to-day needs. This is a shift away from mass-market approach of campaign management to more of a focused, one-to-one approach.
Stay tuned for part two, in which Ari Banerjee and Sarah Wallace put analytics into action and discuss compelling CIQ4T use-cases that illustrate just how effective the approach can be.
Posted: June 29th, 2012 | Author: OSS Team | Filed under: Behind the Scenes | Tags: analytics, CIQ4T, Comptel User Group, contextual intelligence, Making Data Beautiful, Matti Aksela, video | Comments Off on Comptel User Group Video: Q&A with Matti Aksela
Curious about what ‘Making Data Beautiful’ means to Matti Aksela, Comptel’s vice president of analytics? Watch this video in which he discusses how communications service providers can truly benefit from leveraging their data and taking a “Contextual Intelligence for Telecoms” (CIQ4T) approach. Don’t miss the surprising fact Matti shares about himself as well!
Posted: June 13th, 2012 | Author: Ulla Koivukoski | Filed under: Events | Tags: analytics, Comptel User Group, contextual intelligence, event-analysis-action, Making Data Beautiful, telecommunications | 6 Comments »
Just a year ago, Comptel was discussing data as the new oil – touting the message that the key to future communications service provider (CSP) revenue is tapping into the information at their fingertips to better understand their customers. At this year’s Comptel User Group, CEO Juhani Hintikka took this a step further, explaining that it’s also about making data beautiful.
In his keynote presentation to customers, partners and industry analysts, Juhani examined the key factors impacting today’s telecommunications landscape. These included efficiently employing assets, monetising data services, differentiating with personalised customer information and driving contextual intelligence for meaningful actions. However, as famous hockey player (or as Juhani put it, the famous philosopher) Wayne Gretzky said: “A good hockey player plays where the puck is. A great hockey player plays where the puck is going to be.” The same is true for the telecommunications industry – we need to increasingly predict what is important to customers rather than simply reacting.
So how do you know where the puck will be? Analytics can play a key role. For instance, Comptel’s analytics product has been over 80% accurate with results but, as Juhani stressed, this is only valuable if CSPs take action based on these insights – this can be anything from provisioning to targeted campaigns or beyond. They must capitalise on the opportunity to understand the uniqueness of each customer or circumstance and convert that into actionable intelligence.
Ultimately, contextual intelligence is about getting the basics right for profitability, churn reduction, and an increase in wallet share and brand recognition. And as the amount of data continues to increase, problems will likely arise. But if the telecommunications industry can embrace this approach aided by an event-analysis-action strategic framework to get the most value possible out of that data, the opportunity will only be that much bigger. If we can accomplish this, like Juhani stated, let the data grow…we can and will ultimately achieve the goal of making data beautiful.