The Data Analytics Center at UW-Stevens Point serves as a dynamic liaison between the university and various organizations that seek expertise in the realm of data analytics. Our core competencies encompass a wide range of analysis including descriptive, diagnostic, predictive and prescriptive.
Under the leadership of Sentry Insurance Endowed Chair of Computational Analytics Kurt A. Pflughoeft, who brings with him a wealth of experience as a researcher and consultant ranging from Fortune 500 companies to small businesses, our goal is to empower organizations to improve their data-driven decision-making capabilities. This aids in enhancing the effectiveness and efficiency of their products and services, and opens doors to new areas of opportunity.
Our areas of expertise are expansive and include statistical analysis, machine learning, data preparation, data engineering and project management. We employ an array of tools to aid our work, including:
The Sentry School data analytics program hosted a demonstration of JMP Software’s SAS JMP Pro on Wednesday, March 8 for students, faculty and our partners at Sentry. JMP is ideal for teaching, allowing professors to spend more time teaching concepts and real-world examples without programming. The highly visual, point-and-click interface of JMP helps students grasp statistical and analytical concepts and apply them to real data. Researchers can leverage model screening techniques that automatically select the best statistical or machine learning models. Funding for SAS JMP PRO for UW-Stevens Point and the JMP event was provided by the UWSP Data Analytics Center.
Data analytics is all the buzz at many corporations subsuming areas such as business analytics and business intelligence. The goals of data analytics are broad, ranging from knowledge discovery to automated decision-making. The impact of this field has led to many benefits such as increased cross- and up-selling as well as identifying new business opportunities.
Cell phone technology has advanced rapidly with the start of 5G being rolled out across the networks. To keep up with this demand, cell tower companies have responded by erecting numerous towers. Engineers and researchers analyze the network topography to make recommendations for cell tower locations. Cell tower companies evaluate these recommendations using a host of other factors. In this research, a model was developed to help a regional telecommunications company predict throughput for locations using competitive and demand factors. Model results represented a large improvement over internal key performance indicators. Read more below or on MDPI.com.