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A growing number of operators and organizations in today’s world are tilted towards the use of data-driven strategies. Data is the key to success for organizations today and operators have come to realize this of late. As part of this realization, operators are also looking for ways to generate money from the data they have. While data monetization is still at a relatively nascent stage, the process is deemed to have a huge and lasting impact on the industry verticals.

With data playing an important role in generating analytics and signaling growth, every company at some stage of time would become a data company through indirect or direct approaches. The presence of data inside your organization can be useful for you in this hour, as it would help propel your customer service strategies.

Data monetization is said by industry experts to be linked with digital innovation. Both digital innovation and data monetization go hand in hand, and success in one can only be experienced through success in the other.

While data monetization is pretty much present across the board, the telecom market is said to be the biggest beneficiary. Some of the latest findings made in this regard through a recent research indicate:

  • The total global revenue being generated by Telecom API will reach a massive $319.6 billion by 2023.
  • Both the North American and Western European markets are the biggest regional markets for DaaS.
  • Telecom API revenue related to Edge Computing will go over $395 million by 2023 within North America alone.
  • The structured data market is currently greater than the unstructured data market, but the latter can overtake the former anytime.

Data monetization is important for the telecom industry because of how it can lead the push into the dynamism of the future. Data monetization can help stop the dwindling overall profitability of businesses while answering customer demands for agility. Customers expect better performance and convergence, and data monetization can provide exactly that.

Operators can keep up with the competition through data monetization methods aimed towards getting them the success they want. Telecom operators already generate a massive amount of data, which is extremely valuable to them and other organizations present outside the telco industry. As the telecom industry faces the stagnation in revenues from core processes, it is vital for them to understand the opportunities at hand here and go for the success that can be achieved through these methods.

Challenges in Data Monetization

While data monetization does offer a lot of data driven growth, there are also some intricacies that should be discussed in detail here. There are some challenges currently prevalent in data monetization, which can cause a halt in the unparalleled growth that telecom companies have currently achieved and want to achieve over time.

Telecom companies are in a rat race of sorts to figure out just how their business model can be adjusted to incorporate new avenues focused on data monetization. All the opportunities for revenue and growth can only be achieved if organizations realize the challenges in their current processes and how they can be overcome.

Some of the challenges of implementing a data monetization model in your telecom operations include:

Conceptual Understanding

Organizations cannot start working on data monetization without a conceptual understanding of the data they have. The enterprise data present with most telecom organizations is currently in its raw form and hasn’t been structured the way most operators would like.

To make this data workable, operators would have to develop a conceptual understanding of all that comes within it. The data needs to be structured and analyzed to increase the value that is currently associated with it. It is really amazing how small adjustments to your data can increase the value that it brings to your organization.

Structuring the Data

The data when analyzed needs to be structured so that it can help find out the trends currently circulating in the market. The data in its raw shape is nothing but a bunch of nonsensical figures and stats. Once you structure the data and put it through a machine learning algorithm then you would be able to understand just how the data points towards certain trends in the market correlate. These trends can be carefully studied by you to make the kind of analysis that you want here.

Developing the Right Strategy

Once you realize the value of data it is necessary that you develop and work on the best strategy for sourcing data that is both reliable and relevant. For your data to be considered adequate and authentic it is necessary for it to be trustworthy. The data can only be considered reliable when it is sourced through the right means.

User Friendly Tools

Lack of user friendly tools and techniques for analyzing and collecting data can come and harm you in the long run. If you want to work on your data for extracting actionable insights, you should make sure that the tools and techniques you have are user friendly and easy for your employees to comprehend.

Legalities

Mastering the legalities is another hassle that some organizations will have to face. There are numerous regulations coming pertaining to the use of consumer data and telecoms would want to remain at the right side of the law for avoiding any legal repercussions.

Strategies to Monetize Data

Some of the strategies to monetize data for telecoms include:

Understand What Competitors are Doing

This might sound too basic, but before you start working on your data monetization strategy, you should understand just what exactly your competitors are doing. An understanding of what your competitors are doing can act as a benchmark here.

Analytics Technology

To analyze and work on data the right way, you need the perfect analytics technology as well. We believe that such a technology can help you significantly improve the results you get.

Have a Specialist Team

There are risks to big data that only specialists can gauge and manage. If you want your big data endeavors to succeed, you want specialists all over your team. Gartner has predicted that on“50 per cent of chief analytics officers will have successfully created a narrative that links financial objectives to business intelligence and analytics initiatives and investments by 2020.”

The First Steps to Take

The first steps you take will determine the overall success you achieve. These steps should be to:

Determine a Big Data Platform

For any of your data to be monetized, you should first ensure that it is available on a big data platform. Operators should look to harness data for driving their decision making skills.

Make Sure Data is Appropriate for Outside Use

The data must be structured and legalized to be fit for external outside use. The relevant regulations should be adhered to, as any legal repercussion can cost you a lot.

Meet a Real Market Need

To monetize data, operators should be motivated to meet a real market need present within the market currently. They should know just how the market would use their data in the time to come.

Data monetization presents a unique opportunity for telecom operators to diversify their revenue streams. It might not transform the fortunes of all telecom companies, but it is worth pursuing because of the bright future that it has. With telecom operators facing stagnancy in revenue generation, data monetization is a must for them now.

November 28, 2019 0 comment
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To stay ahead of the curve, every organization today is pulling out all the stops to “digitally disrupt” the marketplace. In this process, however, the finer nuances are often lost, leaving these players flailing. In a conversation with Mark Newman, Chief Analyst, TM Forum, Manoranjan ‘Mao’ Mohapatra, Chief Executive Officer, Comviva shares his views on whether companies are merely jumping onto the digital disruption bandwagon or are they prepared to leverage data to its fullest potential? Excerpts…

  • On a scale of 1 to 10 where is the telecoms industry today in its digital transformation?
    My personal view is that the industry is at a four or five. This isn’t because the industry isn’t doing it correctly. It’s because most people today still think that the need for transformation is one- time. If one goes back 20 years, one knew that any change in IT systems would have a life of ten years. Now, a lot of people are being myopic and thinking that the transformation would serve them for three to four years. But, in truth, one needs to accept that one has to live with transformation on a daily basis.To cite an example pertaining to software and agility, when I started in my career, major software builds were being carried out per year. Five years ago, a software build was being carried out per quarter. Now, a major software build is being carried out twice a year through agile. In fact, I read that Amazon is doing a software build every 11 minutes!
  • How are most Chief Information Officers (CIOs) approaching transformation?
    There is a whole spectrum of views and approaches. One section of chief information officers (CIOs) believes that one either transforms lock, stock, and barrel or not at all. Others are happy doing bits and pieces. I would say that most CIOs are taking a middle path. The reality is that there are a number of constraints for the CIOs. They have hundreds of services running that are generating revenues and these are paying their employees’ salaries.Most people are disrupting for the future, not to meet today’s challenges. To do this, one needs to adopt a leap-frogging approach. The need to leverage data is growing by the day. This is increasing demand for computing power and bandwidth for communication. If one has not prepared oneself for this growth, one is building up potential challenges for the future, when this explosion happens.
  • Is the relationship between CSPs and their vendors changing as a result of digital transformation?
    I’m not sure that the various aspects of this relationship are really changing yet. Customers are still trying to manage the transformation, which means that it is not really a partnership. They are still taking a “laundry list”-centric approach to how we work with them, rather than building a holistic view centred on a collaborative effort.
  • What impact does it have whether your customers use your cloud or their own private cloud?
    Today, most CSPs are using their own private cloud to host services such as those provided by Comviva. They ask us to bring our application to them, which is fine, except that they can’t then leverage our central expertise in data modelling and data analysis. We have a data science practice within Comviva with 15-20 experts based in Bangalore. Maybe we send one or two individuals to a customer location, but they are not availing our full competency set. Furthermore, it can be expensive for them because they are paying for dedicated resources.We have come across certain CSPs who are open, for example, to the idea of our caching their data. This is, however, rare, as most ask us to deliver our capabilities within their firewall.
  • Is there an element of fear from some communication service providers (CSPs) about transformation?
     certainly think there is sense of insecurity in many communication service providers (CSPs). They fear they may be opening their internal data too much. In many cases, this is because of national laws, with regulators concerned about data being stored outside their country.
  • You’ve talked a lot about operators leveraging their data. Do you believe that they can make money from their data?
    Yes, we do believe in data monetization. Consider the example of how a telecom operator can help a bank sign up customers. An operator’s mobile customers may only be generating one cent per kilobyte. However, if the bank is able to leverage customer data, it creates value that goes well beyond connectivity. If a bank’s subscriber acquisition cost is, let’s say, $1 per customer, then they may be prepared to give $0.10 or $0.20 to the operator.One of the reasons why this data-as-a-service business has been slow to take off is because the business-to-business (B2B) function in many operators is very underdeveloped, often generating less than 10 per cent of the total revenue. Furthermore, there may be tension between the consumer and the enterprise lines of business, as they feel that they are competing for business. The relationship aspects of transformation aren’t fully developed yet. Customers are still trying to manage, which indicates the absence of the “true essence” of a partnership.
October 12, 2019 0 comment
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These are interestingly challenging times for telecom operators. Whilst keeping pace with fast-changing market trends and customer demands, these players must fire-fight on several other fronts simultaneously. I allude, of course, to competition from over-the-top players, regulatory intervention, rapidly declining average revenue per user and wafer-thin profit margins.

Needless to say, then, operators are no longer laughing all the way to the bank. Not the way they used to in the early days, at least. To illustrate, as per GSMA’s The Mobile Economy 2017 report, in 2016, total mobile revenues reached $1.05 trillion, a 2.2 per cent increase on 2015. Now for the bad news-this number is amongst the lowest operators have registered over the last ten years!monetization_blog_graphSource: GSMA

So, what’s an operator to do? Look for new monetization opportunities, of course! Take note, though, this doesn’t merely mean slicing and dicing customer data to gain useful insights. (Although I certainly don’t mean to dismiss this crucial process in the overall scheme of things). The point is-it goes deeper than that. A fair starting point would be to state that leveraging business applications to the fullest is a good idea. Especially if simplifying business processes and delivering timely, relevant and contextual content is on one’s priority list.

Tapping the Enterprise Opportunity

In this context, the global e-commerce space springs readily to mind. It is, needless to say, doing roaring business and is expected to post an impressive compound annual growth rate of over 19 per cent by 2020, as per Technavio.

Now for the grey areas. Like all successful industries, the e-commerce space, too, has its share of challenges. If one were to list them out, they would broadly span management-centric issues pertaining to logistics, the company’s “fleet-on-street” force and inventory.

Of course, over the years, these players have deployed a plethora of innovative applications to address these challenges. Warehouse sharing is an interesting example in this regard. Now, while it certainly helped e-commerce majors optimize cost, it has, without a doubt, given way to new and equally pressing issues. In other words, e-commerce players find themselves weighing the scales in favour of optimized cost versus increased complexity.

And this is where telecom operators step in. Armed with offerings such as end-to-end sales and distribution management, operators are well-equipped to nip all these issues into the bud. Here’s how:

Why End-to-End Sales and Distribution Management is Good For Your Business:

  • Maintains all channels with varied business, commission and target rules in an end-to-end manner
  • Supports inventory and warehouse management
  • Supports the dealer lifecycle in an end-to-end manner
  • Real-time view of existing stock and ongoing sales

The Growing Importance of Engaging Customers with Personalized Content

Over time, digital content has undergone several permutations and combinations. Traditional voice-based services are giving way to new age digital services. Now, though data still leads the pack, the emphasis is no longer on pure entertainment or music-based offerings. To illustrate, operators are beginning to focus on non-traditional services like media/entertainment, health, mobile banking solutions, emergency management and response systems, medication reminder services, cloud-based campus solutions, digital classrooms, contextual commerce, geo-fencing, predictive offerings, etc. the list is endless.

Of course, merely offering a diversified content portfolio isn’t enough. The next (most important) step is to move away from the “one size fits all” approach. It’s simple enough, really- today’s customer knows what they want and are looking to engage with brands that offer a personalized experience across multiple channels. The trick today for any operator is to be omnipresent and deliver more accurate and relevant information, both on-and-offline.

And this brings us to the importance of a service delivery platform. In a nutshell, the offering ensures that operators are able to craft tailor-made content for various industries. It is, essentially, an ecosystem for any operator to monetize their services from end-customers and enterprises.

Why a Service Delivery Platform is a Must-Have Today

  • The platform delivers content via the analytics, cloud and mobile platforms
  • It helps reduce development and integration costs
  • It offers customers a unified experience across channels

Please remember, though, that this is by no means an exhaustive list of how operators can leverage monetization opportunities. They are by no means silver bullets for this purpose either. In the end, all of the discussion points in this piece have their own challenges and merits. Though they do have the potential to help operators reduce churn and expand recurring revenues.

Operators, are you listening?

May 30, 2017 0 comment
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