Each day, 2.5 quintillion bytes of big data are created. More than likely, you’re familiar with the concepts of content marketing and big data. But, you might not know exactly how they can work together to create the best possible output.
A common practice that a lot of marketers immerse themselves in is judging their content content purely based on how many pairs of eyes they attract. In actuality, branded material needs to be focused on drawing in the eyes of people of whom are most likely to buy. More often than not, you are only selling to a specific subset of the population that is exposed to your messaging.
While the primary goal of any content marketing strategy is to spark interest in your product or service, randomly creating material without data-driven reasoning is a shot in the dark. Effective storytelling as all about being in the right place at the right time. Let’s talk about the profound impact big data has on your ability to do so.
Perhaps the biggest advantage of big data is that you can conduct in-depth research and craft your content according to popular demand. There are many ways to mine information across different channels to ...
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Big data intelligence is considered the Holy Grail of decision-making in business today. As far back as 2013, some 78% of US business leaders surveyed agreed with the statement that, “If we could harness all of our data, we'd be a much stronger business.”
Indeed, it takes a lot more than having a large amount of readily available – even real-time – information to unlock better, faster decision-making. Experts shout themselves hoarse advocating democratization and smart use of data, as well as fast track analysis, for everything from business intelligence to IoT:
However, companies are not yet well-equipped to deal with issues emerging from the big data explosion. Issues like “TMI” (too much information) and “analysis paralysis” hurt more than help in decision-making. The answer to this conundrum lies in reducing the latency between data processing and decision-making.
Let’s delve into some ideas and best practices that might help you reduce latency between data collection, mining and decision-making, so you can reap full benefits of your big data tools.
Limit the Scope of Data
The first step towards minimizing analysis paralysis is to define appropriate processes, limits and expectations. Analysis is not a deliverable unto itself. Rather, it is a step in the project ...
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