Forecasting Predictive Modeling Reporting Uncertainty 
BI-Survey
MARCH 16, 2021
Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. A dynamic environment requires flexible decision support and short-term updates of targets and forecasts.
BI-Survey
MARCH 16, 2021
Markets and competition today are highly dynamic and complex, and the future is characterized by uncertainty – not least because of COVID-19. This uncertainty is currently at the forefront of everyone‘s minds. A dynamic environment requires flexible decision support and short-term updates of targets and forecasts.
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Sisense
MARCH 24, 2020
Now is the time to apply the full force of business intelligence used by analytics teams to help navigate growing uncertainty. Predict: Lastly, look to forecast trends in supply and demand and track fast-moving changes in leading indicators. Integrate data to understand revenue drivers. Create transparency, reduce overhead.
Sisense
SEPTEMBER 9, 2019
We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Lessons Learned.
Insight
FEBRUARY 19, 2020
Photo by Roberto Nickson on Unsplash Much effort has been spent understanding and forecasting the success of movies (e.g., Arthur de Vany’s Hollywood Economics and Kaggle’s recent box office prediction challenge ) and current attempts are using increasingly sophisticated techniques. Input page for ReelRisk.
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