Why You Should Hire an Empirical Storyteller

It has been another milestone year for the digital analytics industry. For one, the International Data Corporation predicted that the annual compound growth rate of the big data and analytics market (including hardware, software, and services) will be 23.1 percent between 2014 and 2019, culminating in an annual spend of $48.6 billion in 2019. In addition, while automation will allow companies’ human resources to shift from data preparation to data science, Forrester argues that this year will see firms turning more and more toward insights-as-a-service and data science-as-a-service providers.

This points to an important trend in the digital analytics industry. That is, many organizations today seem to be less constrained by the choice of which solution, platform, or architecture best suits their needs as they are stifled by how to find and nurture the right talent to succeed with analytics. And this issue isn’t limited to big data analytics. No matter what volume, velocity, or structure of data you’re working with, the issue for many business leaders is the same:  How can I use the data that I have to make better business decisions?

What seems to be missing from most conversations related to analytics talent today is the role of communication – or more specifically, storytelling.


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