By Pieta Brown, Statistical Analyst at Datamine
I arrive at work and check my overnight code run worked. Success! I review the results before a catch up with my fellow analysts to go through our current projects and progress. I then get stuck into a customer behavior project I’m working on for one of New Zealand’s biggest companies – understanding its data structures, massaging the data into shape for analysis and spending a large amount of time on data cleaning.
After lunch, I switch to an on-going modelling project we’re involved in using my favorite tool, R. This is a particularly challenging assignment, with many of the usual complications such as huge volumes of data to process, difficulties linking data from different client systems and sparsely populated variables. This project is followed by a strategy session with our client-services team, a good chance to engage in some creative-thinking and develop my nontechnical skills. Then it’s time to automate the production of hundreds of graphs for review tomorrow. I set this up to run overnight and then head out the door. It’s a busy job but a great one.
Statistics enables us to delve into a business problem and come up with smart, data-driven ways to fix the issue. With the help of statisticians, businesses can go further by understanding their customers, their staff, predicting future trends and moving ahead of the crowd. It is those businesses that strive to truly understand their customers and business-drivers that can deliver products and services that the world’s people want and need.
Founded in 1995, Datamine is New Zealand’s leading data-mining organization.