In the previous blogs we looked at the option to use Linked Analysis and we even used the capability of Linked Dimensions, so that any filter or selection in our charts would impact all the charts in our story, but we kept the data from our two data models in two separate charts.
Now this time we are going to use blending and will combine the information from two data source into a single chart and will discuss the different options of linking and also the different scenarios in regards too formulas and aggregation.
Lets start with our data sets and what we trying to achieve.
Data Set 1: Customers by Country
Our first data set shows our customers with Region and Country as Dimensions and we have the Revenue and the absolute Discount value for the year 2017 as measures.
Date Set 2: Orders by Customers
The second data set has the new orders for the year 2018 with the total Order Value broken down by Customer.
As we are focusing in this blog on the Blending portion, I am not going into details on how to create two models in SAP Analytics Cloud based in this information as that is already explained in several other sources.
So lets assume we have two data models:
In our first blending scenario we want to visualize the following:
So we start with a new story and we navigate to the Linked Dimension functionality.
In the Linked Dimension dialog we are adding our model Blending_Customers_by Country as the model on the left hand side and we add the model Blending_Orders_by_Customers as our model on the right hand side.
We then selecting the customer from both models to establish the link.
Before we confirm the linking, we are going to make sure that the linking is done on the Customer ID.
Make sure that you select the ID for both entries on Customer ID.
After we confirmed the linking, we are back in the Story and we are adding a new Chart.
In the Builder panel of the chart on the right hand side, we select the model Blending_Customers_by_Country as the first model for the chart.
Now we need to add the second model to our chart. We can use the Add Linked Models option.
Because we already established the Linked Dimensions, our second model is listed and all we need to do is to select it.
Now back in the Builder Panel for the chart we are starting to add Measures to our chart and because we have more than two models assigned to the chart, we can choose now the measures from both models.
So for our first scenario we are going to choose the Revenue from 2017 from the model Blending_Customers_by_Country and we are adding the Order Value from the model Blending_Orders_by_Customers.
As dimension we use our Linked Dimension Customer and we have our first chart with data shown from two models.
Because we are using two models in our chart, we also can configure the Link Type and we can also define which dimensions are being used as Linked Dimensions and which are Unlinked Dimensions (more on that in the next blog).
Here the definitions of the different Link Types:
Now this time we are going to use blending and will combine the information from two data source into a single chart and will discuss the different options of linking and also the different scenarios in regards too formulas and aggregation.
Lets start with our data sets and what we trying to achieve.
Data Set 1: Customers by Country
Our first data set shows our customers with Region and Country as Dimensions and we have the Revenue and the absolute Discount value for the year 2017 as measures.
Date Set 2: Orders by Customers
The second data set has the new orders for the year 2018 with the total Order Value broken down by Customer.
As we are focusing in this blog on the Blending portion, I am not going into details on how to create two models in SAP Analytics Cloud based in this information as that is already explained in several other sources.
So lets assume we have two data models:
- Blending_Customers_by_Country for Data Set 1
- Blending_Orders_by_Customers for Data Set 2
In our first blending scenario we want to visualize the following:
- Customer ID, Customer Name, Region, Country
- Revenue 2017
- Total Order Value for 2018.
So we start with a new story and we navigate to the Linked Dimension functionality.
In the Linked Dimension dialog we are adding our model Blending_Customers_by Country as the model on the left hand side and we add the model Blending_Orders_by_Customers as our model on the right hand side.
We then selecting the customer from both models to establish the link.
Before we confirm the linking, we are going to make sure that the linking is done on the Customer ID.
Make sure that you select the ID for both entries on Customer ID.
After we confirmed the linking, we are back in the Story and we are adding a new Chart.
In the Builder panel of the chart on the right hand side, we select the model Blending_Customers_by_Country as the first model for the chart.
Now we need to add the second model to our chart. We can use the Add Linked Models option.
Because we already established the Linked Dimensions, our second model is listed and all we need to do is to select it.
Now back in the Builder Panel for the chart we are starting to add Measures to our chart and because we have more than two models assigned to the chart, we can choose now the measures from both models.
So for our first scenario we are going to choose the Revenue from 2017 from the model Blending_Customers_by_Country and we are adding the Order Value from the model Blending_Orders_by_Customers.
As dimension we use our Linked Dimension Customer and we have our first chart with data shown from two models.
Because we are using two models in our chart, we also can configure the Link Type and we can also define which dimensions are being used as Linked Dimensions and which are Unlinked Dimensions (more on that in the next blog).
Here the definitions of the different Link Types:
- All primary data – Allows all data in the primary model, and corresponding data in a secondary model to appear in the chart.
- All data – Allows all data in the primary and secondary model to appear in the chart.
- Intersecting data only – Allows only linked data to appear in the chart.
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