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Articles 1 - 3 of 3
Full-Text Articles in Engineering
Traffic Crash Prediction Using Machine Learning Models, Yifeng Chen
Traffic Crash Prediction Using Machine Learning Models, Yifeng Chen
Dissertations and Theses
Traffic crashes account for most of casualties and injuries worldwide, and there has been growing concerns and studies regarding the contributing factors of traffic crashes. There are many factors causing or related to an occurrence of traffic crash, e.g., land use, traffic flow conditions, driver behavior and weather condition. This paper studied the spatial and temporal distribution of crashes on highway and developed real-time prediction models for crash occurrence. Traffic flow data, weather data, and crash data from multiple data sources were collected and processed to develop the model. Multiple machine learning models, such as SVM model and Decision Tree …
The Application Of Design Thinking On Evaluating A User Self-Service Data Analytics/Science Platform, Aheeka Pattnaik
The Application Of Design Thinking On Evaluating A User Self-Service Data Analytics/Science Platform, Aheeka Pattnaik
Dissertations and Theses
This thesis is aimed at utilising design thinking and the first half of the double diamond framework to i) set-up a research and select the appropriate participants, ii) gather requirements and define user personas from those eligible participants, and then iii) define the framework for evaluating a user self-service data analytics/science platform. Derived from the author’s own experiences, both as a Business Analyst (BA) and Citizen Data Scientist, with no-, low-, and code-based data analytics and science platforms are being implemented for enabling user self-service analytics – for users who are completely new to the space of data analysis and …
The Revenue Operations (Revops) Framework: A Qualitative Study Of Industry Practitioners., Oliviero Mottola
The Revenue Operations (Revops) Framework: A Qualitative Study Of Industry Practitioners., Oliviero Mottola
Dissertations and Theses
In recent years Revenue Operations or RevOps has emerged in professional circles as a new approach to manage Sales, Marketing and Customer Success teams in the context of b2b sales. In practitioner circles, RevOps definitions range from the increased collaboration of the three job functions to an all-out creation of job function within organizations. While the subject of interdepartmental alignment has been covered extensively in academia (albeit not exhaustively), RevOps as a term and set of practices has received no attention and industry practitioners struggle to find a unified set of best practices that isn’t coming from organizations trying to …