The Big Data hype is finally at an end, according to analyst firm Gartner, which recently announced that the term has been dropped from its 2015 technology hype cycle. This means that the idea is no longer considered new and shiny, but is now just another part of the general technological landscape.
What does this mean for the PR industry? We’ve been talking about Big Data for a few years now, but it seems as though we’re still not entirely sure about how it fits into what we do. Any significantly sized business will generate a huge amount of data from across its various operations, and the task of finding actionable intelligence hidden inside it all is not to be underestimated.
Some companies are leading the way in showing what value Big Data can deliver, as Sophie Warnes, a data scientist at H+K Strategies explains: “Companies like Amazon and Netflix use data science on a daily basis. They have algorithms to determine whether you’re going to want to buy something, or what films and TV shows you might want to watch next. Giving people brilliant recommendations like this will build affinity and customer loyalty. That’s the kind of insight that could only be brought into those companies by data scientists, and as brands wise up to this, it make sense for PR agencies to pre-empt that need and start offering data science and insights as an additional service for clients.”
So is it reasonable to expect all PR people to add Data Science to their skillset? I don’t think so. Larger businesses and agencies are already investing in specialist resources, building teams that are focused on data science, which demonstrates a growing understanding that it really needs to be treated as a separate skillset.
PR consultants are already expected to master a broad selection of skills, and it seems unrealistic to expect everybody to become instant domain-experts every time there’s a new technological development which impacts the industry.
The good news is that Big Data is gradually becoming more and more accessible to a wider audience, not just data scientists. If you follow the tech press you might have noticed a growing number of stories about things like Artificial Intelligence and Deep Learning, technologies which have quietly been making huge leaps in recent years.
The result of these developments will be that we move from tools which help us analyse past events, to those which will assist with predicting future outcomes. For example, today’s tools can track what is being said in social media right now, and to analyse historical data to understand how people reacted to previous campaigns or events.
This is currently where data scientists can be invaluable to PR, using tools such as ours to mine for hidden meaning in the oceans of social media data. But a new generation of tools will use AI to automatically make recommendations for different campaign approaches based on the data, spotting patterns and connecting the dots in ways that humans are simply incapable of.
If this sounds like pie-in-the-sky future gazing, it is not. These technologies are already here, and the marketing-tech industry is working hard to build them into its existing platforms. What this means for the PR industry is that data scientists will be able to offer far more certainty and precision when predicting campaign outcomes. It also means that where there is no access to data science skills, the software will be able to do a lot of the hard work, making it easier for all PR consultants to make sense of big data.