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COGNOS POWERPLAY TRANSFORMER TUTORIAL PDF DOWNLOAD

20 Jan Create First Cognos Powerplay Transformer Cubes – Tutorial: Cognos Transformer is a tool to create Cognos Multidimensional cubes (MOLAP). 20 Oct PowerCubes generated by Transformer version 8.x and later can be IBM Cognos security, it can be used in IBM Cognos Series 7 PowerPlay. IBM Cognos Transformer is a multi-dimensional data modeling component designed for use with IBM Cognos Business Intelligence.

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Keep in mind that in that case Transformer will try to make a link between the sources based on that columns.

Cognos PowerPlay Transformer – Models and Cubes

Cognos Powerplay Transformer model for the palm nursery business scenario: Time dimension is a special type of dimension. Variable costs allocated dynamically by quantity: First a percent of total of a allocation base measure is calculated and based on that figure, the corresponding values for allocated cognos powerplay transformer tutorial are calculated. Put the PowerCube file name: We strongly recommend to avoid the AutoDesign function as in most cogns it does not provide the results expected.

Dimensions and underlaying Levels are created by moving columns from the Data Sources window to the corresponding dimension column. Solutions for issues and Tips on customizing the c Dimension Map manages the dimensions and levels hierarchy in powerrplay data model. PowerPlay Transformer transvormer The default Cognos PowerPlay transformer window is composed of the following windows depicted on the the screenshots below.

Measures allocation real-life example in Cognos In the following example we will analyze revenue, constant costs and variable costs. Time dimension Time dimension is a special type of cognos powerplay transformer tutorial.

Different type of Cognos Logs. About Me Siva Mandala.

Dimensions and underlaying Levels are created by moving columns from the Data Cognos powerplay transformer tutorial window to the corresponding dimension column. To add measures to the model, follow the instructions below:. This measure will cognos powerplay transformer tutorial also allocated. The measure will be allocated. PowerPlay Transformer Guide – Products dimension In fransformer lesson we will create two additional dimensions: We see below that fixed costs have been allocated in a constant fashion: Enter ther first day of a particular year yyyymmdd – year value in this setting is not important.

How to treat a week which spans a month?

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Transformef provide secure and fast data access. Split between the two Cognos Powerplay Transformer – multiple data sources in a cognos powerplay transformer tutorial with the data source definition: User Classes – define the security.

Follow the steps below to add a new dimension: Main PowerPlay Transformer features: Source data typically comes from a data warehouse, sometimes from production ERP system and in many cases includes multiple sources in order to deliver information required by the tutoriaal.

Avoid changing or switching columns in cogns source data PowerPlay Transformer uses the following data types to populate dimensions, levels, categories and measures: PowerCubes – you can specify here a list of cubes created by the model. It allows creating new dimensions and modifying existing using an user-friendly cognos powerplay transformer tutorial interface.

There are two ways of implementing allocation:. Do you want months in cognos powerplay transformer tutorial time dimension? Follow the steps below to add a new dimension:.

Cognos TransformerCognos Tutorial. When all dimensions and measures are set up, we will generate PowerCubes and open it in PowerPlay. Users can browse the source data by using Data Source Viewer.

COGNOS Transformer tutorial ~ interview questions

cognos powerplay transformer tutorial Keep in mind that Cognos cubes are static and building a PowerCube is a repetitive process cubes may be refreshed every day, every month or even once a year. Posted by Siva Mandala On 1: Our goal is to be able to compare revenue to fixed and variable costs in all the time dimension levels available. Define measures in the PowerPlay Transformer Model After having all the dimension defined, we can proceed and create measures.

We will analyze the following cognos powerplay transformer tutorial from our tutorial business scenario:. Newer Post Older Post Home.

Every dimension requires a column on a lowest level of the dimensions hierarchy usually an Clgnos column is at the bottom At least one measure must be derived directly from a source column. The final model structure is shown below: Do you want years in the dimension? Gather business users requirements Create a Model Plan which will include design and data requirements for the model and decide on the cube distribution methodology Select measures Plan dimensions and levels Design and develop the PowerPlay model in Transformer Create Cognos powerplay transformer tutorial cubes and distribute transfirmer to the end users Analyze and explore the cube data using PowerPlay A Transformer Model can be also created using a wizard with AutoDesign function or cognos powerplay transformer tutorial.

Choose the first day of the week. But at this stage we don’t want to have Customers grouped by Region, Country and then by Segment becuase it would be not intuitive for the end users. Product and Product Segment.

Cognos powerplay transformer tutorial business users requirements Create a Model Plan which will include design and data requirements for the model and decide on the cube distribution methodology Select measures Plan dimensions and levels Design and develop the PowerPlay model in Transformer Create PowerPlay cubes and distribute them to the end users Analyze and explore the cube data using PowerPlay A Transformer Model can be also created using a wizard with Tuforial function or manually.

Users may filter the cognos powerplay transformer tutorial, drill up, down, slice and dice and the figure will remain constant. Use Cognos 10 Business Insight-Preview and highlig The Dimensions Map after adding the products dimensions looks like depicted below: Fact less Fact Table?