Is the Business of Being Hillary Clinton Too Data Driven?

Since my last post using Donald Trump as an hypothetical example about the differences in data analytical software for SMB (Small Medium Businesses), I thought it was only fair to drag Hillary Clinton's name as well into the world of data analytics.

Lucky her.

Using Clinton's hypothetical self to pose a business question, is excessive data mining a risky endeavor to strive for authenticity in the eyes of consumers?

How does that connect to an ongoing election, you might ask? Well,  I happened to come across an eight month old campaign job post online in which Clinton's staff were seeking employee positions for a Data Scientist, Modeling Analyst and Survey Methodologist.  In the act of being Hillary, does breaking down emotions into ones and zeros make a better human candidate? 

It can be said that if Clinton was a business owner in today's market, it might hurt businesses like hers when they become too data driven,  especially when customers are seeking companies they can have an emotional attachment to. Consumers are increasingly putting their money in the hands of companies that are more concerned about having a greater global footprint than compiling a massive dataset. 

When buying a product such as footwear from Toms, for example, customers feel good knowing that some of the company's profits are helping to improve the lives of someone who doesn't have shoes. 

There's always going to be a need for data analysis to be a successful business, no question about it. But there's a hazard of overanalyzing with algorithms and data models or in the Clinton job post, "...build and validate predictive models for voter behavior to ensure efficient voter contact." 

As in business, consumers are becoming more aware that they are being exploited for their dollars.