Category: TM1Py
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Run processes in parallel using only one TM1 connection
Being able to run processes in parallel is one of the most powerful features of IBM TM1 and Planning Analytcs. Instead of loading one year of data with one process, you could run in parallel one process per month which will significantly speed up your loading time!
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Automate your daily forecast with Prophet
What is Prophet?
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Optimization with TM1 and Planning Analytics
What is Scipy?
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Classification and Regression with Scikit-Learn and TM1
A very good example has been done by one of our colleague Nicholas Renotte, you can find all the step through in this blog post:
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Create responsive plot chart with Ploty
What is Ploty?
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Top 5 Python libraries for TM1 and Planning Analytics
This is one of the most famous quote of Kung Fu Panda movie…
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Pandas makes working with data easy
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Data Science with TM1 and Planning Analytics
Having accurate data in your TM1 and Planning Analytics application is just one part of the job, the second part which is even more important is to understand your data. This is where Data Science can help. Data Science will help you to improve how you make decisions by better understanding the past and predicting the…
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Setup Cubike example
Cubike is a fictional Bike Sharing company that we use the series of articless about Data Science with TM1 and Planning Analytics:
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Timeseries Forecasting with Facebook Prophet and TM1/Planning Analytics
Welcome to the last part of the articles series about Data Science with TM1/Planning Analytics and Python. In Part 1 we loaded weather data from the NOOA web service into our TM1 cubes. In Part 2, by analyzing the data with Pandas and Ploty, we’ve learned that