White Papers
Workforce Planning Prediction
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
Optimizing seasonal staffing and resourcing is a key challenge for many industries, especially when the exact timing of high-volume activity can change based on complex factors.
In our white paper, Mosaic examines fresh machine learning based approaches to more accurately forecast airline seat demand.
This whitepaper reviews an approach for applying machine learning and predictive analytics in a B2B sales & marketing environment.
Applying statistical inference is a great way for businesses to get more value out of there email marketing programs.
We examine how businesses can apply machine learning to propensity modeling, CLV, segmentation, attribution, and churn.
In this whitepaper, we examine how different companies can attack the dispatch routing optimization problem using ML & AI.
The Energy industry holds multiple predictive analytics and data science opportunities. One large utility hired a management consulting firm to study their data process. The management consultants identified over $300 Million of value by utilizing the data this utility had already collected over many years.
Applying AI for scoring marketing content effectiveness is a great use case for businesses.
This white paper examines a machine learning approach to predicting employee churn and optimizing for retention.
Our paper focuses on why enterprise data warehouse projects fail and what to do about it.