First of all, we're NOT a business club. We're an analytics club! Our club focuses on three main disciplines:
Having robust, scalable systems are vital to both data and computer scientists who construct complex models. These systems must be reliable and responsive to changes in data.This is for me!
Without economic theory and practice, businesses would be unable to forecast the impact of decisions. Economics explains outcomes and serves as the rudder of the business "ship".I like this!
Today's rules of business are driven by data. Business leaders use analytics to identify opportunities, navigate risks, and grow their organizations.
We are an analytics club that sees a problem with analytics. The problem is that all organizations use data but the data sources, the departments working with data, and the methods used to derive meaning from data are siloed and often lack collaboration. Computer and Data Scientists work to build both databases and complex models. Then, Economists create models (pulling data from databases and building further complex models) and incorporate economic theory to forecast outcomes. Finally, Management use these forecasts to make financial decisions. This process, while streamlined, prevents a consistent discussion/understanding of data and makes it impossible to view the entire “data ecosystem”. Segmentation through process “siloing” results in miscommunication and poor management decisions, which harms the organization. Data Scientists and Economists have a good grasp of bias in data, but often miss aspects that aren’t influenced by their discipline. For example, they might miss a qualitative factor only seen by a department that is customer-facing (i.e. sales, marketing). The lack of clear, “common-ground” communication and segmented processes result in poor analysis of the data, polluting the entire data ecosystem eventually making its way to a decision maker who will inadvertently harm the organization due to miscommunicated data and poor interpretation.
We believe the disciplines should have a general understanding of the other functions and a holistic view of data usage to reduce the amount of error in an organization’s use of data. This will result in fewer “big data disasters”, where campaigns are sent erroneously to customers based on faulty data.
We understand this is a very large undertaking. We by no means intend to replace the skills taught in computer science, economics, management, or financial programs during our meetings. We instead plan to teach a high-level understanding of data and the ecosystem so that anyone who uses data can 1) “speak the language”, 2) understand the process and know the tools, 3) recognize potential dangers before it becomes an organizational crisis. Our mission is to connect the data disciplines using one holistic view of analytics. We hope to give members a good starting point in which to build their analytical skills and prepare for a career with data.
We aim to bridge the gap between business and the sciences.
We'll teach you how to use analytic tools and provide the data to practice on.
We host top analytics professionals so you can learn more about the industrial environment.
Our events are meant to bring students interested in analytics together!
We work together to solve cases based on real-world business challenges.
Sophmore, (intended) Informatics & Economics
Junior, (intended) Math/ ACMS
Junior, Finance & Management Information System
Professor of Accounting, Michael G. Foster School of Business
Founder, Consilient Group LLC.
Former CCO, Wunderman.
Professor of Marketing, Michael G. Foster School of Business
Stay up to date on all events by joining our mailing list here. [docs.google.com]