verimatrix_v 25/09/2015 17:27 Page 1
Big
Data
ext to UHD services
and virtualisation,
data analytics stole
the limelight at IBC 2015 in
Amsterdam. This reflected
the current potential to
combine data from multiple
sources to feed analytics
systems that improve the
user experience and
support monetisation at a
time of intense competition
for pay-TV operators.
This impending boom in data
analytics is bringing together
players from across the pay-TV
ecosystem that are in a position
to provide some of the critical
data or analysis from sources
including the delivery network,
customer set-top box, operator
head end, connected devices
such as PCs and tablets, as well
as key service components, such
as content security.
Meanwhile, although some
operators have started to collect
the data, few have made good
use of it yet. Ovum reported in
August 2015 that while 70% of
telcos have invested in Big Data
analytics, only 20% have
actually deployed it in their
operations thus far, which
means that 50% are failing to
achieve any benefit, while 30%
have yet to make the first step.
This will change dramatically
over the next two years as all
broadband and video service
providers will have to employ
analytics to remain competitive.
N
18 ContentSecurity
Steve Christian, Senior
Vice President of
Marketing, Verimatrix,
reports on where security
meets big data for
advanced multi-screen
analytics.
Even those 20% of telcos that
are already harnessing Big Data
analytics will have to expand the
range of data and depth analysis
to keep pace. This is equally true
for traditional cable and satellite
pay TV operators, many of
which have been seeking an
objective measure of behaviour
for years. Traditionally, this
came from panels, but because
these panels only sampled a tiny
proportion of the viewing
population, (typically under
0.1%), they suffered from
various statistical challenges
that have become amplified by
the growth in number of
channels as well as the rising
consumption of video content
away from the primary TV
screen in most homes’ living
rooms. Most notably, panels
failed to measure the impact of
niche channels and often
counted them as having zero
viewership because the small
sample has not actually watched
them.
To counter this, operators
have increasingly supplem [