Category: How To
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Getting TM1 data into Power BI
TM1py v1.5 introduces two new functions to make it even easier to build beautiful Power BI (PBI) dashboards with Live TM1 data. This article is a step by step guide to get data from IBM Planning Analytics powered by TM1 (TM1) into Power BI Desktop.
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Clearing cube data with TM1py
Often when interacting with TM1 through TM1py, it is necessary to clear out a slice of a cube. Since release 1.5 there are four options to clear a slice in a cube. Let’s look at the pros and cons of each option.
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Loading data into a cube from a CSV file with TM1py
This article explains how to load data from a CSV file into a cube with TM1py
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Troubleshooting Feeders in TM1 with Emojis
Emojis can do more than just make your messages fun. They can also be used to highlight important information, as Emojis are supported by most softwares. In IBM Planning Analytics and TM1, they are supported by Architect, TM1 Web and Planning Analytics Workspace.
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The Future of TM1 Time Dimensions in the World of Hierarchies
One of the most important considerations when designing a cube are the time dimensions. The vast majority of TM1 cubes will have at least one time dimension. It is the fundamental concept that allows the comparison of data between different periods.
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Mastering TM1 with FREE online resources
This article gathers over 50 FREE online resources that will help you mastering TM1!
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Dealing with daylight saving time and time zones in TM1
Dealing with daylight saving time and time zones can be challenging, but luckily, IBM Planning Analytics powered by TM1 has many features to help you overcome this situation.
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4 ways to speed-up your processes with parallel loading in IBM TM1 and Planning Analytics
TurboIntegrator processes (TIs) is the built-in ETL (Extract, Transform, Load) tool of IBM TM1 and Planning Analytics. TIs are very powerful and fast, with just few seconds, millions of records or cells can be loaded or copied into your cubes. You can make them even faster by running them in parallel.
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Bedrock for TM1 Hands-on
The objective of this hands-on manual is to walk you through the main features of Bedrock:
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Tips – Loading data into TM1 with Python via TM1py
Would you like to load the weather forecast to identify products that should be central to the coming week’s advertising plan or load exchange rates to better predict the cash flow?