"Time-series data is everywhere - from banking, education and healthcare to manufacturing, transport, utilities and many other businesses. Predictive analytics applied in the right way, helps businesses maximize the value of their data."
Chapter 3 - Exploring Business Use Cases
"Events represented by time-series models are dynamic in nature. A model that worked yesterday may no longer be valid today."
Chapter 4 - Why Time-Series Forecasting is Difficult
"A predictive analytics project isn't a math experiment. Avoid getting lost in the math and focus instead on the business value that the project will deliver."
Chapter 8 - Get Value from TIM