In part 1 we introduced a manufacturing company that’s seeking to improve their market predictions. Due to the cost of shipping products, the company needs to accurately predict demand two months into the future. After trying several data transformations, we found the data may still be non-stationary (have seasonal or other trends). We tried using […]
Predict product demand using ARIMA forecasting models and identifying trend and seasonality components in time series data.
Monte Carlo Simulation is an important tool used to factor in unknown variables and random events which can compound, giving scientists the ability to make better long term predictions when traditional models are inapplicable.
Partner POV: Using GIS Data in Data Science
In this month's Partner Point of View we asked each of the partners what they felt the role of GIS d...
Digitally transforming banking: American Express use of blockchain to save correspondent banking boarder-to-boarder payments product
American Express used blockchain in banking to drive value through innovation, digitally transformin...
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