Brands need to be smart to deploy big data analytics
FICCI
FRAMES 2014
Ratings may not always be perfect,
but brands need to use them smartly. This is what emerged from a lively panel
discussion on “Measurement Miasma, TVTs, Readerships, Clicks and Such: The
Great Love/Hate Epic” at the FICCI FRAMES 2014 convention that concluded here today.
The
panellists comprised Mr Sanjay Tripathy, Sr Executive VP, HDFC Life; Mr
Prashant Panday, Executive Director & CEO, ENIL; Mr Partho Dasgupta, CEO,
Broadcast Audience Research Council; and Ms Punitha Arumugam, Director, Agency
Business, Google India. The session was anchored by Mr Paritosh Joshi,
Principal, Provocateur Advocacy.
The
discussions commenced with an
observation by Mr Joshi that media owners do not like measurement. Mr Panday
qualified that by saying that media owners like measurement, but they like it
to be credible. Data from different sources was often conflicting. In the case
of radio in the city of Delhi, one research figure puts the number of listeners
as 40 lakh, while the other puts it at 1.4 crores. Common consensus would help in
building credibility.
Faced with
the question of how the Internet has become the greatest threat to intellectual
property in general, and is disrupting all business models of conventional
content creators, Ms Arumgum differed. She explained that Google has a monetisation
sharing policy with all its content creators. They monetise content in a way
that is better than content providers would be able to do on their own. Information
about the number of impressions and revenue generated rests with the publisher,
but they are willing to look for neutral solutions for this.
Speaking
about the dissatisfaction of media houses with the recent IRS figures, the
panellists observed that media owners were taken by surprise because of the
huge gap that existed between the last and latest research. This indicated that
either the previous, or new research was wrong. IRS should communicate what new
process they followed to convince media houses that their data is consistent.
Data can be believed if there is a gradual change, but when the change is not
gradual, it is not believable.
Another
factor that is important is sample size. The size of the sample will decide the
relative errors. Smaller the sample, greater the error. The community that is
involved in buying and selling media inventories is not numerate and does not
understand statistical phenomena. They tend to be myopic about the process of
validation. They are focussed on the process but do not try to validate the
data from external sources. Validation is critical.
In keeping
with the times, the audience interacted with the panellists through tweets, and
soon a conversation among individual audience members got underway. The
session, in a way, reflected the digital environment that the world is moving
into.
Brands need to be smart to deploy big data analytics
Reviewed by Unknown
on
March 14, 2014
Rating:
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