DDDM not only benefits businesses but also enables governments to make better policy decisions. For instance, DDDM can be utilized to uncover hidden patterns, unexpected relationships, and market trends or reveal preferences that may have been difficult to discover previously. Armed with this information, government entities can make better decisions about healthcare, infrastructure, and finances than they could before. Read this article from the Executive Summary through Chapter 2 to explore data-driven decision models, how data is changing development, and how data can fill the holes in policymaking.
Supply: Data Connectivity and Capacity
Data-Driven Business Models
This section looks at how access to the internet and its content is priced and which parties earn the revenue. It examines the different ways for earning revenues from network access and content, including subscriptions (postpaid and prepaid), advertising,
and transaction fees. It looks at the consequences of data-driven business models for the traditional pricing approach used by telecommunication operators, with potential impacts on network investment, market concentration, and net neutrality.
In reviewing alternative pricing structures, the difference between access to the internet and to its content varies in their financial significance. Users typically pay for access to the internet based on the volume of data they use, whereas content
is not generally priced by volume. While a user may view free video streaming services that generate large amounts of traffic, an online shopping transaction generates little data traffic but, in aggregate, creates significant value for the seller.
This contradiction poses a significant challenge for measuring the economics of data:
The great challenge for economic measurement stems from the fact that the consumption of digital products often does not involve a monetary transaction that corresponds to its value to consumers. Digital products delivered at a zero price, for instance, are entirely excluded from GDP (gross domestic product), in accordance with the internationally-agreed statistical standards. . . . The gap between what is measured and what is valued grows every time access is gained to a completely new good or service or when existing goods or services are offered free as is often the case after digitalisation. The question is how these new forms of consumption should be accounted for in economic statistics such as GDP.
Consumer pricing at telecom network operators has evolved with technological change, from price per minute, to price per speed, to price per data consumed. Before the internet, voice was king and operators generally charged for it on a per-minute, metered
basis. Before broadband, consumers mainly accessed the internet using dial-up connections with pricing as if it was a voice call (that is, minutes of use). The emergence of fixed broadband led to pricing by speed. With mobile broadband, it is harder
to guarantee speeds because of different coverage ranges and a variety of handsets. Three main models exist for pricing data for mobile networks. One is flat rate, in which data usage is not metered but there is a fine-print data cap that, if surpassed,
results in the speed being lowered. The second is postpaid, in which a certain amount of data is included with a monthly subscription.
The third, and most predominant, particularly in developing countries, is prepaid, in which the price is tied to a fixed amount of data. Prepaid must generally be used within a specific time, but does allow for flexibility in that a small amount of data
can be purchased for a day or a week.
To justify investment in higher-bandwidth infrastructure, a number of telecom operators around the world have diversified into providing video services, enabling them to provide so-called triple-play offers (such as voice, data, and video). This has led
to bundled offers in which all three services are offered together at a price higher than that for buying any single service alone, but at a discount compared with purchasing each service separately. Ironically, although traditional broadcast operators
moved to protect their markets through legal challenges, neither they nor the telecom operators foresaw the greater threat looming from streaming video services.
The challenge today is that data traffic is exploding while the traditional revenue earner for telecom operators, voice and text, is declining as users shift to over-the-top (OTT) services delivered over the internet. Data traffic from smartphones surpassed
voice traffic in 2011 and since then has grown at a tremendous rate, accounting for 96 percent of mobile traffic (figure 2.7, panel a). However, operator revenues have not kept pace. In 2015, voice still accounted for almost half (46 percent) of telecom
operator revenue (figure 2.7, panel b), down sharply from two-thirds of operator revenue in 2010. Total telecom revenue has only been growing at 2 percent a year.
Figure 2.7Global network traffic and retail telecom revenue, selected countries
How to pay: Advertising-funded versus subscriber-funded networks
The internet has largely been characterized by "free" content. Although some sites, mainly news and streaming audio and video, charge subscriptions, the most popular websites are free. Most of these sites earn revenues from advertising through a two-sided market strategy of providing users with incentives to join their platform. As the internet audience has grown, firms are increasingly flocking to place ads on the web and smartphone apps.
The growth of digital advertising is astonishing. Global internet advertising accounted for more than a third of advertising expenditure in 2016, slightly behind television (figure 2.8, panel a).
Digital advertising spending is highly concentrated,
with the vast majority going to two companies: Google
and Facebook, who between them received US$106
billion in internet ad revenue in 2016, 64 percent of the
global total (figure 2.8, panel b). Their share is growing,
up 20 percentage points since 2010. They both have huge
user bases, with each reporting more than a billion users
of their services, which is attractive to advertisers. But
reasons for placing ads on them differ, partly explaining
why advertisers often put ads on both. According to one
digital ad analyst, "Facebook believes the most important thing is identity in ensuring ad effectiveness . . . they
know who you are and so much about you" whereas
"Google believes identity is secondary to intent. What's
important is what you want right now because advertising products and services fulfils a want or need".
Figure 2.8 Global advertising revenue
Digital advertising is causing a huge transfer of wealth from traditional advertising outlets (such as newspapers and radio) to internet companies. Telecom network operators have also not largely benefited from the value advertisers place on internet content. However, in a highly contested decision, the U.S. government decided in 2017 that ISPs can sell browsing histories to advertisers without the user's consent.
The concentration of advertising spending reinforces the large properties at the expense of the millions of smaller ones. It also threatens infrastructure investment, since the large websites sit on top of telecommunication networks, yet the networks
do not necessarily receive advertising revenues. Although there are payments from content businesses to carriers for bandwidth, it is not clear that they make up for the huge amount of traffic generated. At the same time, if not transparent, the payments
between content providers and telecommunication carriers pose net neutrality concerns, since a payment may imply an enhanced traffic service, to the detriment of other content providers.
Another concern is that as a few global sites thrive they are branching into areas they have no expertise in and for which their automated content controls pose challenges. One area is news, with traditional news outlets hit hard by a rapid decline in
advertising. The rise of news on IT content sites is of particular concern, with objectivity and facts increasingly called into doubt given the explosion of sources. At the same time, legitimate news and information is sometimes blocked, illustrating
the weaknesses of robotic software agents trying to determine what is appropriate. For example, Facebook blocked a 1972 Pulitzer Prize winning photo of a Vietnamese girl over concerns about nudity. The company was accused of abusing its power and
the photo was later reinstated. Google has been under fire for placing ads next to extremist content on its YouTube video-sharing site. These examples have led to a growing argument that IT firms posting news stories should be subject to regulations
similar to those that media firms face.
Advertising does support free services for users, which is particularly attractive for developing countries. These services include email, office applications, storage, and maps delivered over the cloud. The availability of free and legal cloud-based
applications and services is putting a dent in software piracy, which has been dropping, and the focus has shifted from loss of revenues to the cybersecurity dangers of unlicensed software.
Besides advertising, some internet companies charge subscription fees, particularly those involved in content. One example is Netflix, which offers streaming television and film delivered over the internet. E-commerce sites such as Amazon, eBay, Rakuten,
and Alibaba earn revenue in two ways. One is as a normal retailer, charging a markup over price. The second is when the platform is provided to third-party sellers, in which case the platform owner earns transaction fees.
Table 2.3 contrasts average revenue per user per month for the various internet payment models and for large internet-based companies. Prices have also been converted to purchasing power parity to adjust for differences in the cost of living. Subscription-based video viewing has the highest average revenue per user, and advertising on social media the lowest (but more subscribers). The telecom carrier in the list has the second highest average revenue per user (purchasing power parity).
Table 2.3 Average revenue per user from internet data, 2016
Average revenue per user (month) |
|||||
Company (Country) | Revenue model | US dollars |
At purchasing power parity |
Users (millions) | Note |
Facebook (United States) |
Advertising | 2.63 | 2.63 | 1,860 | World's largest social network platform |
Alibaba (China) | Retail margin/ transaction fees |
2.37 | 4.47 | 423 | World's largest business-to-consumer retailer (gross merchandise value) |
China Mobile (China) | Subscription and usage | 4.31 | 8.14 | 849 | World's largest mobile operator |
Netflix (United States) |
Subscription | 8.61 | 8.61 | 94 | World's largest paid video streaming service |
Some content companies are becoming involved in developing networks, feeling that infrastructure development is not keeping up with the vast growth in data traffic. A desire to capture more users from developing countries by making it easier for them to get online is also driving this effort.
Facebook and Google are investing in a variety of communication ventures.
At Google, this includes providing fiber internet access in several U.S. cities, offering fiber backbones and Wi-Fi in Ghana and Uganda, using hot air balloons to extend internet connectivity, and supporting the use of white spaces for making more spectrum
available. It also controls Android, the leading mobile phone operating system.
Facebook has been looking at satellites, drones, and solar-powered airplanes for extending internet access, and is getting involved in networking gear. The growing involvement in data transmission by large content firms raises questions about the separation
of carriage and content, with the possibility of a few companies dominating both internet content and access.
The rise of "over-the-top" service providers
OTT refers to data services provided over telecommunication
networks. The impact of OTT on telecommunication operators comes from either competing with traditional revenue
sources, such as voice calls and messaging, or depositing a
lot of traffic on their networks. A lack of clear metrics makes
understanding the OTT market a challenge. Some of the
most popular OTT services have been purchased by larger
companies that do not provide disaggregated financial or
operating indicators. Nevertheless, considerable circumstantial evidence suggests the impact is significant.
Notable OTT providers include the following:
- WhatsApp, purchased by Facebook in 2014, offers messaging and calling services and claims to have about a billion users in more than 180 countries.
- Viber offers calling, video, and messaging services to more than 800 million people and is owned by Japanese e-commerce company Rakuten.
- Skype, owned by Microsoft, offers calling, video, and messaging services.
- Netflix provides paid video to 94 million subscribers around the world. It competes with telecommunication service providers that also offer video (such as IPTV). However, the bigger impact on the telecoms is the volume of traffic Netflix generates.
The impact of OTT has been particularly strong in what has long been a traditional profit center for telecommunication carriers: international voice telephone calls. By 2012, Skype was already handling a third of international telephone traffic. By 2016, OTT traffic using voice over internet protocol exceeded international traffic provided by telecommunication operators (figure 2.9).
Figure 2.9 International carrier and over-the-top traffic (billions of minutes)
Similarly, telecom carriers have seen a sharp fall in conventional messaging services (such as SMS) used on their networks. In 2015, an analysis of 17 countries found that the number of messages declined in 14 of them (figure 2.10).
Figure 2.10 Mobile messages, year-over-year change (percent), 2014-15
The danger is that if carriers cannot offset the loss of revenues, less money may be available for future infrastructure investments to handle the rapid increases in data traffic. The ITU has created a study group to examine this issue. The West African telecommunication operator Sonatel paints a dire picture, estimating that between 2016 and 2020, its losses from OTT in the international segment will be CFA francs 256 billion (US$432 million) in Senegal, CFAF 164 billion (US$277 million) in Mali, CFAF 79 billion (US$132 million) in Guinea, and CFAF 12 billion (US$20 million) in Guinea Bissau. It also estimates that taxes paid to the government and dividends for its shareholders will fall CFAF 243 billion (US$410 million).
Telecom operators have developed several responses to OTT. They have argued for regulating OTT providers that provide voice and text services in the same way that telecom operators are regulated. Some operators are developing their own OTT products.
Others are including large bundles of their own offerings, such as free calls or text in packages. Many are diversifying into opportunities in areas such as cloud computing, IoT, and mobile money. Some operators are trying to do all of the above.
Also relevant is taxation for OTT firms without a physical presence in the country in which they are providing service. Though they may offer the service for "free," digital advertising revenues often subsidize this. The lack of OTT taxation
in most developing countries gives them a cost-structure advantage over domestic telecommunication operators.
Some OTT services compete with traditional telecommunication services such as voice and text. However, others provide a different challenge, particularly OTT video providers. These include those that provide television and films through subscription services
such as Netflix as well as free services such as YouTube and Facebook, in which video posts are increasing rapidly. They not only compete with telecom operators that provide video services, but are also responsible for a substantial portion of traffic
going over the networks. Netflix, YouTube, and Facebook are among the top traffic applications in most regions, comprising 42 percent of fixed-access and 34 percent of mobile-access, peak-period traffic (table 2.4). When all of the properties of Facebook
(that is, Instagram, WhatsApp, and so on) and of Google (YouTube, Google Cloud, Google Market, and so on) are considered, they account for an even larger share. The two account for more than 60 percent of total traffic on Latin American mobile networks,
for instance.
Table 2.4 Percentage of aggregate peak period traffic by region, 2015-16
Africa | Asia and Pacific | Europe | Latin America | Middle East | North America | Simple average |
|
Fixed access | |||||||
YouTube | 16 | 27 | 21 | 30 | NA | 15 | 22 |
Netflix | 4 | 6 | 34 | 15 | |||
9 | 3 | 7 | 6 | NA | 3 | 6 | |
Other (top 10) | 44 | 45 | 38 | 41 | NA | 22 | 38 |
Other | 31 | 24 | 29 | 17 | NA | 27 | 26 |
Top 10 | 69 | 76 | 71 | 83 | NA | 73 | 74 |
Mobile access | |||||||
YouTube | 10 | 17 | 20 | 20 | 21 | 19 | 18 |
Netflix | 2 | 4 | 3 | ||||
6 | 8 | 16 | 26 | 10 | 16 | 14 | |
Other (top 10) | 49 | 36 | 38 | 34 | 43 | 35 | 39 |
Other | 35 | 39 | 26 | 19 | 26 | 26 | 29 |
Top 10 | 65 | 61 | 74 | 81 | 74 | 74 | 71 |
The promise and perils of zero-rated services
Many internet applications are based on the so-called
freemium model, in which consumers get basic features
at no cost and can access premium functionality for a
subscription fee. However, users must still pay for the data
consumed using these applications. Zero-rated services
provide access to certain content without it applying to a
user's data cap. Some firms with desirable content, such as
Facebook, have worked with operators, mainly in developing countries, to provide access to their services without
its affecting a user's data allowance. At the same time,
some operators are striking agreements to provide access
to some services free to their customers. For example,
T-Mobile in the United States does not charge data usage
for customers on certain subscription bundles when
they stream music. Other operators provide discounted
access to a bundle of social networking services, but this
is technically not zero rated, since users still pay for data
access but at a discounted rate.
It is argued that zero-rated services provide a taste of a
slimmed-down version of a service and users will eventually
pay for access to the full internet. Text-only versions may also be relevant for users who
do not have access to high-speed mobile internet and rely on slow 2G connections. One example is Facebook Zero,
launched in 2010, providing access to a text-only version of
the service. It has now been renamed the Free Basics service,
available in more than 60 economies, with about 40 million users. In
addition to Facebook, access is provided to other websites,
such as Wikipedia, Accuweather, and Bing, as well as to local
social impact sites for health and employment.
A variation on zero-rated services is sponsored data,
in which companies pay for data usage if a user agrees to
receive ads. Sponsored data is also used for companies to
pay for their employees' mobile data usage for work. AT&T,
a U.S. mobile operator, offers sponsored data in which users
are not charged for usage if they access a sponsor's site. Syntonic, one of the AT&T sponsors, notes: "Millions of
prepaid consumers ration their data, impeding discovery
and exploration of mobile apps and content" and is expanding its product reach outside the United States to southeast
Asia, India, and Mexico.
While providing free content seems commendable, only
making certain content available runs contrary to the net
neutrality principle of the internet. In February 2016, the
Telecom Regulatory Authority of India issued a regulation
prohibiting the use of what it called discriminatory tariffs
for data services. The authority formed its decision based
on "the principles of Net Neutrality seeking to ensure that
consumers get unhindered and nondiscriminatory access to
the internet. These Regulations intend to make data tariffs
for access to the internet to be content agnostic". Several other countries
have also banned zero-rated services. On the other hand, the
United States Federal Communications Commission struck
down net neutrality provisions in December 2017. The
3–2 vote by commissioners was along political lines in an
allegedly "contentious and messy" public comment process. ISPs in that country are now allowed
to block, throttle, and prioritize content. About 20 states
have filed lawsuits against the ruling, and the United States
Congress is considering overturning the ruling if it can
muster the votes.
At the same time, it is argued that zero-rated services
give an advantage to large companies to the detriment of
new startups. As one report notes: "Ironically, if zero-rated
services were available when large internet companies
were startups, it is unlikely they would have scaled to the
size they are now".
Importantly, cost is not the only or even, in many countries, the main barrier to internet access. Users often cite
reasons such as no need or lack of skills as the reason they
do not use the internet. In Thailand, 97 percent of those who
do not use the internet said the main reason was because
they did not know how to use it or it was unnecessary or a
waste of time.
In Brazil, 70 percent of those not using the internet cited a
lack of interest as a reason. So it is not clear to what extent
zero-rated services get new users online. As one report puts
it: "Even with a zero-rated service, the user must still have a
device and an active account with the operator that offers
the zero-rated service. This raises the question of whether
zero-rated services can bring people online who had not
previously used the internet". The report looked at the impact of mobile
data apps across eight developing countries, finding that
88 percent of users had already accessed the internet before
using a zero-rated plan. This suggests that digital literacy
challenges are arguably more important than affordability
to get more people online.