Pros
Some employees try to help each other. HR, Finance, Marketing, and IT provide pretty good support for analytic work. One analytic team has good leadership and a product on the market that is doing well.
Cons
Analytic Consulting " Leadership" is dicey, without leadership skills or the understanding of data science. They don't listen or respect the highly qualified team assembled before they were hired. They tend to treat analysts as though they have interchangeable skillsets even though they come from vastly different specialties within the data science spectrum...actuarial, statstics, public health, business analytics, medicine, infrastructure, software design..as though projects are produced in some robotic widget factory. Leaders were consultants, not data scientists or analytic managers, so they don't understand statistics, analytic design, yet they tout the ability to produce predictive models, then timelines don't reflect what it takes to get a good one done. When questions arise, don't answer them using data science terminology.
