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Filtruj według tematu
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Value of forecasting
Variable selection
Nowcasting
Forecast models
Customer Interviews
Explainable Forecasting
Data cleaning
Hierarchical Forecasting
Scenario
Customer Interviews
Indicio - Customer Success Interview - Director Market Intelligence
In this interview, Steven van Poecke, Director of Business and Market Intelligence at Toyota Material Handling, discusses the impact of the Indicio forecasting platform.
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Customer Interviews
Customer Interview - Market Intelligence analyst
In this interview, Victor van Cleemput shares his experience with the Indicio forecasting platform. Highlighting its reliable output and time-saving benefits.
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Variable selection
Correlation vs. advanced variable selection
Intervju with Professor Sune Karlsson about correlation vs. advanced methods in variable selection
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Hierarchical Forecasting
Hierarchical Forecasting - How can you benefit from it?
Discover how hierarchical forecasting solved the limitations of bottom-up and top-down by combining forecasts from various levels, resulting in a unified and coherent approach to decision-making.
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Hierarchical Forecasting
Hierarchical Forecasting - Key benefits
A short introduction to hierarchical forecasting by Nikos Kourentzes, professor in predictive analytics and AI at the University of Skövde.
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Data cleaning
Accounting for the pandemic as an anomaly and adapting to the changed dynamics
Our Head of Statistics shares how accounting for the pandemic as an anomaly and adapting to the changed dynamics, led to more accurate forecasts.
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Value of forecasting
The current state of forecasting - Is it back to normalcy?
Our Head of statistics discusses
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Value of forecasting
The State of Forecasting - Where are we at?
Our Head of Statistics goes into the increasing need to be able to incorporate high frequency data in your mid- to long term forecasts to achive high accuracy
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Value of forecasting
Here's how you build statistically robust #forecasts with zero coding
How do you: ✔Build statistically robust #forecasts with zero-coding? ✔ Improve planning agility? ✔ Scale your #forecasting without increasing your team of data scientists?
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Explainable Forecasting
We've released Shapley additive values, demystifying the black box in forecasting models.
By understanding the contribution of each variable to the prediction outcome, forecast analysts can articulate the reasoning behind a model's predictions, and increase stakeholder trust.
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Here are the top concerns our customers are facing.
Here are the top concerns our customers are facing.
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Value of forecasting
How Indicio works
Get an overview of the forecasting process in Indicio
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Variable selection
Webinar - Identifying leading indicators using datamining
In this webinar we go through common mistakes when identifying your leading indicators and how to avoid it
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Value of forecasting
Personalized forecasting and why it's important for your business
Get better understanding of your market dynamics by building your forecast
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Scenario
Future-proof your forecasts with scenario analysis
Prepare for uncertainty by leveraging scenario analysis to explore multiple potential futures. By testing different assumptions, you can understand how various scenarios might impact your forecasts
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Variable selection
Why you should stop using correlation for indicator selection
Why you should stop using correlation for indicator selection. And how to do it the right way.
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Variable selection
Why correlation analysis in leading indicator selection might not be the best way to go about forecasting
This video highlights the problems with correlation analysis
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