Big Data, Analytics, Data Science & Information Risk
Who would have ever thought that a recruiter, hiring manager, or HR-related being writing a job description could create reputation risk? Well, as luck would have it, a tumblr site “Tech Companies That Only Hire Men” is maintaining a list of companies and their respective “gender biased” postings. While this is an amateur example, it highlights the power of the ease of access related to all of the following tasks: mining data, drawing inferences, and publishing content.
With all the buzz around Big Data, Analytics, Data Science, etc. this type of activity is exploding. And mind you, it’s not just within the walls of big institutions that were once the privileged few to afford the resources required to perform such work. The consumer-ization of such enterprise endeavors and techniques is gaining pace rapidly. For examples, just look around you – Coursera offers massive open online courses (MOOCs) on data science; Microsoft provides an easy-to-use online online functional programming tool, as well as a marketplace for data to go along with it.
What does this imply for information risk? Quite simply, the field is coming into sharper focus. Traditional notions and practices surrounding security and privacy are being challenged like never before. Virtually every living and non-living entity becomes a stakeholder in these debates, which means scope and complexity will grow exponentially. These are good developments. Overall, as uncomfortable or tenuous our predicaments may become in the near-term, my vision for the industry spells greater investment, better talent, and consequently more elegant outcomes. This is just the beginning.