At the end of the day, it's not about how much data you have, it's about how well you use it.
If you haven’t noticed, the term “Big Data” is all the rage these days.
There’s even Big Data meetups here in Amsterdam. And, really, the “big” in Big Data describes not just the quantity, but all the different types of data that are available now. And, certainly over time the analysis of all this data can provide interesting insights to drive business value.
But the thing that marketing is so focused on now — the idea of creating optimized content experiences for users — doesn't really rely on how “big” the data is — but how smartly we utilize it.
Size Doesn’t Matter - Much
Deriving value out of the data that an enterprise has, especially when it’s being used to drive an optimized content experience, has little to do with size, and much to do with how easily it's accessed and how intelligently our content tools can use it to drive that optimized consumer journey.
But a recent report from McKinsey & Company estimates that, in the US alone, there is a shortfall of almost 200,000 analytics experts and more than one million data experts with the skills that businesses will need to make sense of this data. DCG Analyst Robert Rose wrote recently about this gap in his post The Manager Of Meaning.
But the true promise of content experiences is only realized if we can deliver on the meaning that we can derive out of “smart data.” Let’s look at three of these core benefits:
3 Benefits Of Smart Data & Content Experiences
The real ability to better contextual experiences to consumers will be if we increase the skill set we have within the marketing department. Marketers must understand their buyer’s journey and how to make meaning of every single experience the business has with them.
In other words, marketers must start using analytics (or data) to increase the quality of the engagement as opposed to always focusing on creating more transactions. Here are three capabilities that marketers must have today:
1. Intelligent Content Personalization
Intelligent personalization goes beyond giving web visitors the ability to have their own interface, and display content based on explicit preferences. Rather, “Intelligent Personalization” uses all the data that a marketer has at his/her disposal to not only to optimize the content, but to also optimize the experience. This includes, of course, things like mobile device, and regional optimization – but also includes things like real-time behavior, social signals, transactional data coming from the e-Commerce system etc…
2. Real Data-Driven Marketing
To realize the above, marketers are going to need special skills in order to synthesize web analytics, social shares, landing page conversions and every other metric that the marketer has in his/her arsenal.
Enterprises now need solutions, both technical and process driven, that can store, manage and utilize vast amounts of analytics data in order to drive business results. These systems can and should be able to display dashboards so that marketer can monitor their properties, but also utilize this data to feed back into the content display and actually drive the content to optimize the experience.
3. Situational Analytics
The topic of “predictive analytics” is very hot today. But as any marketer knows, it’s near impossible to actually predict how any customer interaction is going to go. Instead, the smart integration of data is going to result in “situational analytics.” This means being able to look at data, and plug in different, hypothetical situations and see which one has the better chance of actually succeeding.
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