Consumed by work. Again.
My work life has been like a surfer waiting
for a temperamental wave. And I am not the surfer here. By some magical coincidence,
this is also the most exciting time for any one working in the marketing and
media industry. That, in itself is a very humbling experience because now you
finally know what you thought you knew but you were wrong. And we know what
humbling experiences can do to a person’s temperament. One thing led to another
and I landed at finally thinking about this monster called data. As I usually
end up doing – over-thinking and under-doing – I thought that a lot of data may
actually not be good for us. As much as we like to analyse, the extent of
quantitative data used in any analysis should be limited, and strictly, to a
certain place. Why? Because it will make success a guarantee which we know is a
phenomenon that doesn’t exist. By making extremely informed decisions using
techniques like predictive modeling and meta-physical complexification of
simplification we are ensuring that we reduce risk. When we reduce risk, we
reduce that chance of failure. And when we reduce the chance of failure, we
lose the opportunities to learn. And when we stop learning, we know what
happens. One look at the Indian National Congress party is proof enough. In
fact, data was possibly the reason why the party failed to do what no one was
expecting them to do anyway! They hired great statisticians and strategists but
took their hand off the pulse of the common man.
It is not to say that data is taking the
intuition out of decision making and in the age of relentless data trail, the
generation of data is an irreversible eventuality but it is the universal
access of every possible data point that will make it worthwhile for people to
compete. We hear of walled gardens on the internet. Companies are trying to
create their own universe of content and retaining users within the confines of
what they can offer. This allows them to make more advertising dollars be demonstrating
greater value. Of course they try and offer all possible content that a user
may demand but this is fundamentally against the concept of choice and free
will (at least of what I know about these concepts which is obviously limited).
These algorithms are influencing a user’s opinion of their own choice. Facebook
is the best example. Since your life gets defined by what happens in the
newsfeed your view of the world becomes the view of your newsfeed. There is
nothing more dangerous than that. Not even Godzilla.
My other worry is that at even if you read
across a wide spectrum of content, most of the mention of
big/small/fast/everything in between data is for the good of business. Mentions
of the use of data for social good, education and governance are far and few. Agreed
that economic uncertainties demand a special focus on ROI but the long term
value of collecting all data from primary schools in India across attendance,
teacher absenteeism, nutrition and infrastructure can go a long way in the overhaul
of the education system. Crosstab is the strongest word in the English
dictionary today!
I was introduced into the world of
marketing when experienced clients took leaps of faith and landed from one rock
to another without wetting their pants (in the stream). It was exciting then to
see your decisions succeed despite data. It was disappointing to fail but
responsibility was collective. I wonder how it will feel when you see something
coming. What is the joy in doing anything by ensuring you always set it up to
succeed?
To an extremely critical person like me who
is forever looking to spot the spots in the laundry and the fly in the soup,
thinking of solutions doesn’t come easy. So as much as I would want to solve
this and make the world a better place, the numbers are working against me!!!
Maybe I will have a good laugh at myself when I read this many years later and
wonder why I ever thought like this. Maybe I can run a predictive model on
that? No, not me.