Every time you use your mobile phone, every time you make a
purchase with your Visa or MasterCard, and every time your drive beneath a
street camera, data is created. However, to imagine that Africa is awash with
data and information would be simplistic and fallacious.
Huge data challenges persist in our part of the world. For
example we don’t know how many children are stunted or suffer from chronic
malnutrition. We don’t have accurate information on the number of children
enrolled in school or out of school. We don’t really know how many young people
are unemployed. We don’t know what skills our economy needs. We don’t have data
on the number of Kenyans who don’t have access to water and sanitation. We
don’t know how many people are killed on our perilous roads every year. We
don’t know how many tons of maize our farmers produce annually.
Africa’s conversation on big data and the information revolution
is characterized by both promise and anxiety. The dialogue is characterized by
promise because the ubiquity of modern technology such as cellphones permits
novel ways for problem diagnosis and application best-fit solutions. The
dialogue is characterized by anxiety because while the world is on the cusp of
a veritable data and information revolution, Kenya and Africa at large exist in
what can be characterized as a pre-dawn mist.
At the heart of the pre-dawn mist is the fact most of the data
we hold are best guess estimates, which are often unreliable. Moreover, even
this unreliable data is often out of date, and riddled with huge spatial and
temporal gaps. This makes it difficult to apply any analytical tools to examine
the data for patterns and insights that could support policy or investments or
provide new insights to drive sustainable development.
Despite the pre-dawn mist, the opportunity for Africa to
leverage the ubiquity of technology to bridge data gaps, harness big data and
advances in modern computing and data analytics are phenomenal. Big data is
commonly understood to encompass high volume, high variety and high velocity
knowledge and decision-support assets.
Africa’s big data opportunity has been enabled by the
proliferation of media usage, especially cellphones and the explosion of
Internet connected devices and systems. We have also witnessed, thanks to
broadband Internet, an unprecedented eruption of unstructured data in the form
through photos, videos and social media platforms like Facebook, Twitter and
Instagram. Government agencies hold or have access to an ever-increasing wealth
of data including spatial and location data. Moreover, private sector,
especially mobile telephone service providers like Safaricom and Airtel also
hold huge amounts of data about its customers.
The power of big data and data
analytics and its application in decision-making really lies in the capacity to
predict, model and detect phenomenon. Hence, incorporation of big data and data
analytics in intelligent systems could vastly improve delivery of public
services in domains ranging from education, wildlife conservation, public
health, road safety, agriculture, climate change adaptation, counter terrorism,
tax collection, and utilization of public revenue. Furthermore, Big data and
data analytics through open data access have the potential to dramatically
enhance democracy, accountability and promote inclusive and equitable
development.
In my view, the potential of big data
to drive Africa’s prosperity will only be realized if we answer the following
questions. First, how can novel technologies and the everyday innovations in
how the world is documented and monitored be applied to bridge critical gaps in
data? Second, how can the under-resourced national statistics departments in a
majority of African countries be supported to collect, manage, analyze and
share data? Third, how do we bring data from mobile devices and social media
platforms into public use without infringing personal freedoms or violating
individual privacy? Last but not least, how can data be standardized, shared
across organizations (public and private), mashed-up and integrated to support
policy analysis, investment, public accountability and enhance service delivery?
Africa’s
development in the 21st century and beyond must be based on evidence
– reliable integrated data and knowledge on Africa’s complex challenges and
opportunities, not on expatriate conjecture and whim or dodgy government
statistics.
Moreover, Africa must address the data deficit challenge and, build
the necessary capacity for sophisticated big data analytics that enables
prediction, modeling and pattern detection, which is critical if big data is to
drive enduring and equitable prosperity.