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 Holes: Filling the Gaps
This section explains why data location, language, and limits are becoming more important than plain access. It also explores links between data and economic development.
From access to usage
Significant attention has been devoted to the uneven distribution of access to information and communication technology (ICT). As mobile phone penetration rises and access
to the internet increases, the access gap is shrinking. Nine in
ten people around the world were covered by a 2G cellphone
signal in 2016 and 65 percent by 3G; by 2020 these figures
are forecast to rise to 95 percent and more than 90 percent,
respectively. The unconnected are increasingly those who are
not interested in using or do not know how to use the internet rather than those who have no access or cannot afford
to pay. Investment in digital literacy training is becoming as
important as infrastructure.
The geography of data creation, distribution, and use is
lopsided, resulting in a new global data divide. One manifestation of this gap is content concentration. More than
half of the world's websites are in English (figure 2.11,
panel b), yet only 984 million people speak English as a first or second language, 13 percent
of the Earth's population. Another manifestation of the data
divide is from where it flows. Just over one-third of IP traffic
is generated by North America, with only 5 percent of the
world's population (figure 2.11, panel a). On the other hand,
the Middle East and Africa, home to 19 percent of the world's
population, only generate 3 percent of global IP traffic.
Figure 2.11 Global internet protocol traffic and websites by language
New metrics of the data age
Data holes are reflected by uneven data consumption
across communities, regions, and nations. The amount of
data used per smartphone – measured as gigabytes of data
per month or GB/user – varies tremendously. Smartphone
users in North America consumed almost four times more
data than those in the Middle East and Africa (figure 2.12,
panel a). Average global use is forecast to grow more than
fivefold between 2016 and 2022, from 1.9 GB per month
to 11. Within North America, U.S. mobile broadband
subscribers use more than 1.8 times as much data as their
neighbor to the north, Canada, and 3.6 times more than
their neighbor to the south, Mexico (figure 2.12, panel b).
Figure 2.12 Mobile data usage
Data usage is driven by factors such as coverage and device, with pricing a major influence. Data pricing varies significantly throughout the world, measured by the metric of price per GB per month or for comparability, US$/GB (figure 2.13, panel a). In absolute terms, average price ranges from US$5 per GB per month in South Asia to US$28 in high-income OECD nations. However, in relative terms, high-income OECD nations have the cheapest prices (0.9 percent of GDP per capita) compared with 12 percent in Sub-Saharan Africa. Prices vary significantly in Sub-Saharan Africa, with relative data prices ranging from a little over 1 percent of gross national income per capita in Mauritius to 45 percent in Zimbabwe (figure 2.13, panel b).
Figure 2.13 Mobile data pricing
Being data starved is a constraint when it comes to rich multimedia educational, health, and livelihood content. However, many useful activities require just narrowband: a quick e-commerce transaction, a text message to check produce prices, or a phone
call in an emergency. Hourly, daily, and weekly prepaid options can enhance affordability in these circumstances.
Data and economic development
Could the data divide be affecting economic growth in developing nations? Various studies have looked at the impact of
ICTs on economic growth. As businesses and consumers
obtain more high-speed connectivity, they have realized
important benefits in terms of efficiency, new businesses
models, market information, and so on. Some research has
focused on the impact of data on the economy. Four studies
looking at public sector open data found impacts ranging
from 0.4 percent to 4.1 percent of GDP.
A European Parliament report states that big data and the
data-driven economy will bring 1.9 percent in additional
GDP growth by 2020.
A Deloitte study suggests that data usage affects economic
growth. Based on mobile data usage for
14 countries between 2005 and 2010, the study found that a
doubling of mobile data consumption added 0.5 percentage
point to GDP growth a year.
While the study suggests an econometric link between
data consumption and economic growth, the exact reasons
seem fuzzy. It is puzzling, given that most internet traffic is
video entertainment, which is not likely to have a tremendous economic effect. Other studies suggest that it may not
be the quantity of data that is important, but rather the
value of the data. In many developing countries, economic
impacts have been noted from basic cell phone voice calls
and narrowband 2G applications such as text messaging or mobile money, which do not use much data. For
example, a study of grain markets in Niger found that
prices dropped 3 percent after the introduction of mobile
phones because of better access to market information. A study analyzing the economic impact of mobile
money in Kenya found its use decreases prices of competing
money transfer services and increases levels of financial
inclusion. An econometric analysis
on the impact of telecommunications in Senegal found
no statistically significant effect from broadband; on the
other hand, plain mobile communications had a significant
contribution, with each percentage point increase in mobile
penetration contributing 0.05 percent to GDP. These findings suggest that the data
nuggets are small, often lost in the sea of video and social
media traffic, and sometimes not even transmitted over the
internet.