Marketing leaders today are inundated with talk of Big Data. While
loaded with promise, the reality of Big Data is often overwhelming,
complex, and stagnant. As Wikipedia tells us,
the challenges of Big Data include capture, curation, storage, search,
sharing, analysis and visualization. And even as CMOs deploy
increasingly layered and strategic technology-based programs to assist
in exceeding their KPIs, they can’t avoid the fact that the mass of data
they are being asked to extract value from grows with every passing
day.
Some marketers think if they ignore the growing Big Data pile it will
go away or (fingers crossed) fall within someone else’s remit. Others
continue to think that selective monitoring and analysis is sufficient
while there are others still that believe a whizzy dashboard alone
equals insight and can lead to subsequent action.
Think again.
It’s not Big Data’s fault that it’s disorganized and not actionable by itself. In some respects, the chatter around the technology’s potential has done the actuality of its deliverables a disservice. Many looked at what it could do; others critiqued what it should do and very few companies actually committed to their Big Data strategy.
The relationship with one’s data,
we believe, is in many ways like a professor to a student. They show up
everyday, you watch them absorb your knowledge, fill in the blanks for
them and as they become smarter some of them leave an indelible mark on
your core teaching beliefs and practices. The same can be true of data’s
impact on your business – sure, not every data point will change your
bottom line, but by not missing insights and opportunities to tweak your
habits as a brand you will, at the end of the day, not only see but
tangibly feel how much better off you are.
To make Big Data truly transformational for marketers it takes three
key differentiators: cross-channel analysis of massive data sets,
personalization of the subsequent communications and automation of both
the delivery and performance management of those consumer touch points.
These three factors don’t change whether you’re recommending a piece of
content to a reader, sending an email newsletter to a prospect or
targeting a product at a shopper.
When these key factors fall into alignment, we call it Smart Data.
Smart Data is actionable data that automatically generates informed,
personalized communication with consumers across all channels. It allows
a company to understand, predict and engage each consumer at an
individual level. At its core it’s intelligent, sophisticated and, most
importantly, simple. By being smart, your data can bridge the
technological divide that still exists in organizations today. By
enabling data to power decision making the playing field is leveled
between those that are technically sophisticated and those that believe
in the power of experience and intuition.
The scope of data today is outside human comprehension. This is
undisputed. Everyone’s seen the stats about social stream speeds, hours
of video uploaded, number of blog posts published, pages viewed,
products purchased, unique readers, forms submitted, emails sent, etc.
The smartest thing an executive can do with their Big Data hairball is
enable its knowledge to compound so that it can automatically power the
right decisions at the perfect moment to a specific person. By doing so
businesses will increase engagement and drive long-term, meaningful
relationships with their consumers.
A successful track record of working on large-scale, high-demand
web systems led Neil Capel to develop Sailthru’s unique capabilities.
Original Source :http://www.wired.com/insights/2013/02/smart-data-for-communications-big-data-becomes-transformational/
Smart Data: For Communications, Big Data Becomes Transformational
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