Sales and demand forecasting has evolved markedly with the convergence of traditional statistical techniques and cutting‐edge machine learning methods. Time series analysis remains central to ...

Singular Spectrum Analysis (SSA) is a powerful nonparametric method that has emerged as a vital tool in the analysis and forecasting of time series data. By utilising matrix decomposition techniques, ...

Artificial intelligence (AI) technologies are currently revolutionizing industries and enabling automation on a scale we've never seen before. Of course, none of this is possible without data. These ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...

B2B sales journeys are dynamic and complex, involving numerous stages, stakeholders, interactions, and variables. But B2B selling also is equal parts data science and relationship building. “The art ...

Excel forecasting is a crucial skill for analysts aiming to boost productivity, cut costs, and enhance customer satisfaction. By harnessing Excel’s powerful forecasting tools, you can generate precise ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.