Combining data from multiple data sources is one of the most common challenges for business analysts. The disparate data stores are often a collection of integrated or non-integrated data management systems with heterogeneous schemas and query languages.

For example, an insurance company stores sales targets and actual sales data in the same system but separate databases, validating sales performance requires mapping between the two datasets. Hospital Management Systems (HIS) and Claims Management Systems (CMS) store patient information and the insurance claims separately. Extracting and visualizing meaningful information from such systems requires merging the datasets.

Combining data using custom SQL queries and Excel is a time-consuming process. New Wyn Multi-Charts allows technical and non-technical users to quickly and easily build visualizations using multiple datasets.

Wyn Enterprise Multi-Charts removes all data combining hazels and eliminates the need to do some work outside of the BI tool to be ready with an analytical chart. Here, we'll discuss the new and advanced Multi-Source Chart type and the configurations it provides.

Getting Started With Wyn Multi-Source Charts

Find the new Multi-Charts in the Advanced section of the visualization panel, beside the calc charts icon, in the dashboard designer:
Merge Data from Multiple Data Sources - Business Intelligence Dashboards

The chart looks similar to other visualizations. When dealing using the Multi-Source Chart, first configure the datasets and generate a single dataset:

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Click the Configure button. This prompts the dialog box shown below. Use it to manage datasets for the chart.

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

The dialog consists of two sections:

Datasets: in this section, choose two or more Wyn datasets to combine for a visualization.

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Links: choose the dimension fields with common data. Combine the dataset selected on the left to fetch merged data for the chart. For the selected datasets, dimension fields correspond to each dataset as shown below:

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Add as many links as required. They are presented horizontally in the dialog:

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Multiple links map the data separately and are not joined together. In the previous example, the links map the data using an SQL query:

Select * from TargetSales 
INNER JOIN ActualSales
ON TargetSales.SalesRepresentative = ActualSales.SalesRepresentative

OR

Select * from TargetSales 
INNER JOIN ActualSales
ON TargetSales.Quarter = ActualSales.Quarter

rather on both data fields together like in SQL query below:

Select * from TargetSales 
INNER JOIN ActualSales
ON 
( TargetSales.SalesRepresentative = ActualSales.SalesRepresentative 
AND 
TargetSales.Quarter= ActualSales.Quarter )

Once the desired datasets are selected and linked using a dimension, merged dataset fields are listed in the data binding panel. It includes:

All measure fields from the selected datasets, where the duplicated field is identified by a numeric suffix

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Dimension fields used to create the links, where the name of the dimension field comes from the first dataset

Merge Data from Multiple Data Sources - Business Intelligence Dashboards
The dataset is now ready for use in the Multi-Source chart like any other conventional chart in the Wyn dashboard.

Measures cannot be used as chart values. The merged datasets are linked using dimensions only.

Multi-source charts support all the properties and settings supported by any standard chart in WynDashboards. However, there are additional properties and settings unique to multi-source charts:

Multi-Source Charts Specific Configurations and Settings:

Dataset Join Type

This property in the Inspector panel lets users choose the type of join (Inner or Full Join) to link the data fields.

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Inner Join fetches selected data for only the matching values from the selected data fields.

Full Join combines all data from the two datasets. For example, Target vs Actual Sales is shown below:

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

The multi-source chart shows data for inner and full join:

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Interactivity

Like standard visualization, multi-source charts support various user interactions such as cross-filtering, sorting, and exporting. These actions can be configured on data fetched according to the dataset join type. They are limited to only the dimensions selected for creating the link.

General Filter shows only the selected values when set to inner join type, and shows all data for full join:

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Merge Data from Multiple Data Sources - Business Intelligence Dashboards
Interaction Setting shows only linked dimension fields in the Source and Target Fields when the multi-source chart is the interaction trigger.

Merge Data from Multiple Data Sources - Business Intelligence Dashboards
Interaction Receiver for Interaction Setting lets users choose the target fields from the merged dataset and the linked datasets:

Merge Data from Multiple Data Sources - Business Intelligence Dashboards

Inspector Properties are a list of properties enabled for configuration purposes in the Inspector tab. Customize the look and feel of the visualization display from here. Some properties like auto refresh, are not available to preserve the custom links done for the chart.

Multi-source Charts were designed and implemented to allow technical and non-technical users alike to seamlessly merge data from disparate data sources and be able to present it on a single visualization.


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