Lancaster CMAF

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The official channel of the Centre for Marketing Analytics and Forecasting (CMAF), Lancaster University, UK. CMAF is a pioneering centre for fundamental and applied research, leading knowledge exchange between academia and business. We have extensive experience with working with organisations, both public and private, offering research and support in sectors including telecommunications, retailing and manufacturing as well as software suppliers. Throughout the year, we host a range of events including courses and guest speakers. We also are working on the series of educational videos called "Business Forecasting Principles" and provide consultancy and executive training services.

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Business Forecasting Principles: 15. Forecast Selection and Combination

Business Forecasting Principles: 15. Forecast Selection and Combination Lancaster CMAF

473 views - 5 months ago

Business Forecasting Principles: 11. Forecasting for Inventory Management

Business Forecasting Principles: 11. Forecasting for Inventory Management Lancaster CMAF

504 views - 7 months ago

Business Forecasting Principles: 10. Forecast Evaluation: Point Forecasts

Business Forecasting Principles: 10. Forecast Evaluation: Point Forecasts Lancaster CMAF

674 views - 8 months ago

Business Forecasting Principles: 09. Forecast evaluation principles

Business Forecasting Principles: 09. Forecast evaluation principles Lancaster CMAF

568 views - 10 months ago

CMAF FFT: Generating stable forecasts: what it is, why it matters, and how to achieve it

CMAF FFT: Generating stable forecasts: what it is, why it matters, and how to achieve it Lancaster CMAF

150 views - 1 year ago

Business Forecasting Principles: 07. How to Select a Forecasting Software?

Business Forecasting Principles: 07. How to Select a Forecasting Software? Lancaster CMAF

405 views - 1 year ago

CMAF FFT: More effective data visualisations for improving communication with decision makers

CMAF FFT: More effective data visualisations for improving communication with decision makers Lancaster CMAF

156 views - 1 year ago

Business Forecasting Principles: 06. Forecasting in Retail

Business Forecasting Principles: 06. Forecasting in Retail Lancaster CMAF

1.8K views - 1 year ago

Business Forecasting Principles: 05. Time series components

Business Forecasting Principles: 05. Time series components Lancaster CMAF

1.1K views - 1 year ago

CMAF FFT: Making decisions when you do not trust your forecasts

CMAF FFT: Making decisions when you do not trust your forecasts Lancaster CMAF

238 views - 1 year ago

CMAF FFT: Forecasting with the 2nd generation of AI

CMAF FFT: Forecasting with the 2nd generation of AI Lancaster CMAF

164 views - 1 year ago

Business Forecasting Principles: 04. Forecast Improvement: What, When, How?

Business Forecasting Principles: 04. Forecast Improvement: What, When, How? Lancaster CMAF

825 views - 1 year ago

CMAF FFT: Predicting emergency admissions to hospital specialties using real-time data

CMAF FFT: Predicting emergency admissions to hospital specialties using real-time data Lancaster CMAF

126 views - 2 years ago

CMAF FFT:A new classification scheme for trend/seasonal demand forecasting and planning applications

CMAF FFT:A new classification scheme for trend/seasonal demand forecasting and planning applications Lancaster CMAF

154 views - 2 years ago

CMAF FFT: Why you should care about exponential smoothing

CMAF FFT: Why you should care about exponential smoothing Lancaster CMAF

496 views - 2 years ago

CMAF FFT: Hierarchical forecasting for manufacturing

CMAF FFT: Hierarchical forecasting for manufacturing Lancaster CMAF

320 views - 2 years ago

CMAF FFT: Common Forecasting Methods and The Mindset Behind Forecasting

CMAF FFT: Common Forecasting Methods and The Mindset Behind Forecasting Lancaster CMAF

535 views - 2 years ago

Business Forecasting Principles: 03. Judgment in Forecasting

Business Forecasting Principles: 03. Judgment in Forecasting Lancaster CMAF

959 views - 2 years ago

Business Forecasting Principles: 02. Choice of Forecasting Approach

Business Forecasting Principles: 02. Choice of Forecasting Approach Lancaster CMAF

1.3K views - 2 years ago

Lancaster CMAF introduction by Robert Fildes

Lancaster CMAF introduction by Robert Fildes Lancaster CMAF

146 views - 3 years ago

CMAF FFT: Applying Forecasting Techniques to Healthcare Data

CMAF FFT: Applying Forecasting Techniques to Healthcare Data Lancaster CMAF

734 views - 3 years ago

CMAF FFT: Intermittent Demand Forecasting

CMAF FFT: Intermittent Demand Forecasting Lancaster CMAF

1.4K views - 3 years ago

Business Forecasting Principles: 01. Introduction to Forecasting

Business Forecasting Principles: 01. Introduction to Forecasting Lancaster CMAF

5.4K views - 3 years ago

CMAF FFT: Machine Learning forecasts – confirmation bias or value add?

CMAF FFT: Machine Learning forecasts – confirmation bias or value add? Lancaster CMAF

228 views - 3 years ago

CMAF FFT: The role and challenges of forecasting for circular economic operations

CMAF FFT: The role and challenges of forecasting for circular economic operations Lancaster CMAF

162 views - 3 years ago

CMAF FFT: When and what not to forecast?

CMAF FFT: When and what not to forecast? Lancaster CMAF

334 views - 3 years ago

Introduction of Lancaster Centre for Marketing Analytics and Forecasting members

Introduction of Lancaster Centre for Marketing Analytics and Forecasting members Lancaster CMAF

891 views - 3 years ago

CMAF FFT: Alternatives to judgmental forecast adjustments: a retail case study

CMAF FFT: Alternatives to judgmental forecast adjustments: a retail case study Lancaster CMAF

237 views - 3 years ago

CMAF FFT: Making your model generalise better: Cross-validation and data augmentation

CMAF FFT: Making your model generalise better: Cross-validation and data augmentation Lancaster CMAF

231 views - 4 years ago

CMAF FFT: On performance of temporal aggregation in time series forecasting

CMAF FFT: On performance of temporal aggregation in time series forecasting Lancaster CMAF

431 views - 4 years ago

CMAF FFT: A new taxonomy of vector exponential smoothing and its application to seasonal time series

CMAF FFT: A new taxonomy of vector exponential smoothing and its application to seasonal time series Lancaster CMAF

174 views - 4 years ago

CMAF FFT: Bridging the gap between forecast and business value

CMAF FFT: Bridging the gap between forecast and business value Lancaster CMAF

631 views - 4 years ago

CMAF FFT: Using IoT Data at the Point-of-Consumption for Demand Forecasting and Inventory Management

CMAF FFT: Using IoT Data at the Point-of-Consumption for Demand Forecasting and Inventory Management Lancaster CMAF

518 views - 4 years ago

CMAF FFT: Human vs machine: do practitioners trust forecasting algorithms?

CMAF FFT: Human vs machine: do practitioners trust forecasting algorithms? Lancaster CMAF

157 views - 4 years ago

CMAF FFT: How traders predict prices and liquidity in the electricity market

CMAF FFT: How traders predict prices and liquidity in the electricity market Lancaster CMAF

9.2K views - 4 years ago

CMAF FFT: Are Target Service Levels Achieved Effectively and Efficiently?

CMAF FFT: Are Target Service Levels Achieved Effectively and Efficiently? Lancaster CMAF

142 views - 4 years ago

CMAF FFT: Best Practices for Supply Chain Demand Forecasting

CMAF FFT: Best Practices for Supply Chain Demand Forecasting Lancaster CMAF

876 views - 4 years ago

CMAF FFT: Long-Term Forecasting for Policymaking with Structured Analogies

CMAF FFT: Long-Term Forecasting for Policymaking with Structured Analogies Lancaster CMAF

165 views - 4 years ago

CMAF FFT: Identifying sequential changes in mean and variance within more complex model structures

CMAF FFT: Identifying sequential changes in mean and variance within more complex model structures Lancaster CMAF

262 views - 4 years ago

Lancaster University Festival of Numbers: Predictive Analytics and Forecasting

Lancaster University Festival of Numbers: Predictive Analytics and Forecasting Lancaster CMAF

64 views - 4 years ago

CMAF FFT: How AIML Forecasting is not Changing Industry Demand Planning

CMAF FFT: How AIML Forecasting is not Changing Industry Demand Planning Lancaster CMAF

363 views - 4 years ago

CMAF FFT: Forecasting Software Trends for the Next Decade

CMAF FFT: Forecasting Software Trends for the Next Decade Lancaster CMAF

1.1K views - 4 years ago

CMAF FFT: Generation of Time Series Scenarios: How to Do It and Make it Pay

CMAF FFT: Generation of Time Series Scenarios: How to Do It and Make it Pay Lancaster CMAF

259 views - 4 years ago

CMAF FFT: Forecasting Through Adaptive Combinations of Large Model Pools

CMAF FFT: Forecasting Through Adaptive Combinations of Large Model Pools Lancaster CMAF

159 views - 4 years ago

CMAF FFT: Forecast Accuracy: Fanciful Aspiration or False Advertising?

CMAF FFT: Forecast Accuracy: Fanciful Aspiration or False Advertising? Lancaster CMAF

569 views - 5 years ago

CMAF FFT: Forecasting Retail Demand (including earthquakes and pandemics)

CMAF FFT: Forecasting Retail Demand (including earthquakes and pandemics) Lancaster CMAF

1.4K views - 5 years ago

CMAF FFT: Accuracy, Explainability and Trust: the trinity of business forecasting?

CMAF FFT: Accuracy, Explainability and Trust: the trinity of business forecasting? Lancaster CMAF

267 views - 5 years ago

CMAF FFT: Improving organisational forecasts and decisions with hierarchical forecasting

CMAF FFT: Improving organisational forecasts and decisions with hierarchical forecasting Lancaster CMAF

840 views - 5 years ago

CMAF FFT: SPC for Autocorrelated Data Using Automated Time Series Forecasting

CMAF FFT: SPC for Autocorrelated Data Using Automated Time Series Forecasting Lancaster CMAF

517 views - 5 years ago

CMAF FFT: To Infinity and Beyond: Forecasting with Dynamic Models

CMAF FFT: To Infinity and Beyond: Forecasting with Dynamic Models Lancaster CMAF

488 views - 5 years ago

CMAF FFT: Pragmatic insight on forecasting during the global pandemic

CMAF FFT: Pragmatic insight on forecasting during the global pandemic Lancaster CMAF

309 views - 5 years ago

CMAF Forum: What have we learnt from M5 Competition?

CMAF Forum: What have we learnt from M5 Competition? Lancaster CMAF

608 views - 5 years ago

CMAF FFT: What do we need to know about Forecast Value Added? by Robert Fildes and Mike Gilliland

CMAF FFT: What do we need to know about Forecast Value Added? by Robert Fildes and Mike Gilliland Lancaster CMAF

737 views - 5 years ago

CMAF FFT: Demand Planning and Forecasting is not only about the software! by Gunter Fonteyne

CMAF FFT: Demand Planning and Forecasting is not only about the software! by Gunter Fonteyne Lancaster CMAF

272 views - 5 years ago

CMAF FFT: Resilient Forecasting with InstantML by Mike Thomas

CMAF FFT: Resilient Forecasting with InstantML by Mike Thomas Lancaster CMAF

109 views - 5 years ago

CMAF FFT: What’s new in forecasting software? by Oliver Schaer

CMAF FFT: What’s new in forecasting software? by Oliver Schaer Lancaster CMAF

511 views - 5 years ago

CMAF FFT: Current Issues in Supply Chain Forecasting by John Boylan

CMAF FFT: Current Issues in Supply Chain Forecasting by John Boylan Lancaster CMAF

899 views - 5 years ago