The Program for Data Analytics at Kellogg (PDAK) prepares managers to confidently harness the possibilities of data analytics and translate them into tangible business value. We partner with companies ...
The Data and Predictive Analytics Center (DPAC) creates and applies new, cutting-edge techniques to collect, transform, model, and visualize data. Analysis techniques are drawn from mathematics and ...
Tools, systems, and best practices that enable access to, analysis, and use of information for decision making. The systematic analysis of data, ranging from descriptive (what is) to predictive and ...
Commissions do not affect our editors' opinions or evaluations. Data analytics can help small businesses in a number of ways. By understanding data analytics, businesses can make better decisions ...
The questions are from the Common Data Set developed by a consortium of higher education groups and guidebook publishers. The Common Data Set items are supplemented with additional information in ...
The field of data analytics is developing rapidly. With the rise of ever larger and more specialised datasets, it’s essential to understand how to collect, handle, evaluate and interpret data to ...
The Master of Science in Social Data Analytics and Research degree program builds on faculty expertise in criminology, economics, geospatial information sciences, political science, public and ...
The first semester modules focus on core topic areas such as business intelligence and analytics, data warehouse design and big data applications, enabling you to gain insights into large multivariate ...
MLB side Texas Rangers uses cutting-edge data analytics to deliver real-time game insights into player acquisition, ...
Human resources (HR) analytics software enables your people team to track data on things, such as recruitment success, performance, attendance, workforce costs, skill gaps, labor needs and more.
As data volumes continue to grow exponentially, the ability to transform this information into actionable business insights is a key capability in the ‘Age of Analytics’. Demand for data analytics ...
showing in depth how traditional methods such as anomaly detection can be extended using data analytics and also applies data analytics to non-traditional views of cybersecurity, such as multi domain ...