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Kunal Ghewade

Kunal Ghewade
Kunal is a IBM Planning Analytics (TM1) Developer at Octane Software Solutions. A Business Analyst and MBA in Finance, he's passionate about helping industries develop their business insights and process management. Kunal is a Young Turk at heart, Creative and Passionate.

Recent Posts

TM1: Feeder-Less Feeding

[fa icon='calendar'] July 17, 2020 / by Kunal Ghewade posted in PlanningAnalytics, TM1 How To, TM1 Local

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Many Developers like to stay away from the topic call Feeders in TM1 / Planning Analytics world but on the other side we cannot avoid Feeders as it plays the most crucial role while Modelling the data flow.
Sometimes, dealing with Feeders may result in 2 major issues:
1. Over Feeding
- Performance issue.
- RAM consumption.
2. Under Feeding
- Totalling issue
To avoid this there is a small concept called Feeder-Less Feeding where we can avoid writing Feeders and Feeder related issues.

Feeder-Less Feeding is a Concept of Modelling the data in such a way where you write a Rule in TM1 Rule file but you don’t need to write feeders for it, still using ‘Skipchecks’ (By having the sparse consolidation algorithm on).

To show the concept of feeder-less feeding we will proceed with an example where we are computing Travel Cost with Headcount and Rate.

               Travel Cost = Headcount * Travel Rate

Here we can say Headcount is the Driver of Travel Cost and if we want to feed, we would have fed the Travel Cost with Headcount.

So, element Travel Cost and Driver: Headcount should be in same dimension and Driver should be the child of its Rule Driven element as below,

 The Rule element should be the Parent (Consolidation) of its Driver to get fed automatically.

Now we have inputted some filled values in the Headcount and Travel Rate.

Here we have kept the Rates in the Same Cube to keep it simple.
You can have the Rates from the same Cube as well as from another Rate Cube depends on your way of Modelling.

The simple Cube Rule we can have for current formula and the resulted Value as below.

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6 Reasons why you should get DataFusion - a TM1 connector

[fa icon='calendar'] June 10, 2020 / by Kunal Ghewade posted in DataFusion

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DataFusion is a TM1 connector developed by Octane. It was borne out of the frustration clients were facing extracting data out of their IBM Planning Analytics application into other enterprise Reporting tools like Power BI, Tableau and Qlik. Typically this was set up as a manual task that required an IT or Finance person to drop a csv and upload into Reporting tools. This created a number of issues. Firstly it required the operator to ensure that the correct slab of data has been captured and uploaded. It also created a risk as end users would have to rely on operator to perform this task on as regular basis as required. This created a single person dependency and if he or she is on leave the data may not get refreshed as teams scramble to find out how to do this task.

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