Use of Message Shape During Boomi Process Testing 

After the Boomi integration process is developed, while testing multiple sub-process calls if any changes are required or if testing is required only for a particular sub-component, Message Shape can meet the requirements. There is no need for testing end-to-end flow if changes need to be tested and verified for a particular process or sub-flows to validate the changes.

With the use of Message shape, the following can be achieved 

  1. Required data can be passed to the next shape
  2. Modified data can be supplied on the fly
  3. Testing from Source connector data might take more time than can be saved
  4. Ability to test multiple flows using different test data supplied to each message shape in the flow

To test the process flow or changes in the Boomi platform, the content will be added in the message field of the Message Shape and it will be connected to the next shape.

Below are different scenarios with different message types to test with Message Shape

1. JSON Message: 

For testing with JSON messages, use single quotes.



“FirstName” : “Russell”,

“LastName” : “Crowe”


2. XML Message: 

Use original XML message that contains &, < and > with double quotes (“) in the top line of XML directly in the Message shape. The Message shape will not take single quotes in XML.


<?xml version=”1.0″ encoding=”UTF-8″?>





<title>delectus aut autem</title>




3. EDI or Flat file Message: 

Copy actual EDI or Flat file message without any modifications into Message shape. If EDI data contains single quotes, use an extra single quote to escape it.


(a) X12 message (truncated)

ISA*00*0000000000*00*0000000000*08*4532345856 *12*8038025150




(b)EDIFACT message (truncated)



BGM+220+A761902+4:20140530:102+9′ ’

4. Database Message: 

When testing with DB message, component ID (after DBSTART and DBEND) needs to be replaced with new DB profile component ID need to be replaced if the profiles are copied during testing.

Eg: DBSTART|828ac9d7-8334-44e0-8739-4139cf86f2e5|2|@|BEGIN|2|@|OUT_START|3|@|1259|^|20201209 182925.764|^|Alex Jr|^|1111111|#||#|OUT_END|3|@|END|2|@|DBEND|828ac9d7-8334-44e0-8739-4139cf86f2e5|2|@|

In the above example, the bold text needs to be replaced with the component ID of the new DB profile

why data driven culture

Why a data-driven culture matters? How to get there?

We are already driven by loads of data daily in your life. There are recommendation engines that drive your choices and affecting your decision-making, so on. Here the question is whether your organization focused on the data as you are. If it is not focusing more, it should be, and here is how you can get there.

What exactly a ‘Data-driven’ means for companies?

The company’s strategic decision making depends on the research, analysis of data, and interpretation of the same. It is connected with the various market reports and methodologies. In general, a data-driven company is driven by the reality of the data.

If that valuable data is amalgamated with more focus on larger enterprise, the whole organization gets benefitted from the clear data-directed vision in all business areas.

Data-driven – Why it is important?

To be competitive is the cut-short answer to the above question. But, in detail, companies should be data-driven to maintain the competition in the increasingly competitive global markets today. The data volume is growing every second, expected to increase at a high level in the future.

The Data centers, intermediate data processors, cloud contributes growing volumes of data to vast data silos. The real fact is, the companies that are using the information to its maximum value are enjoying a significant edge over those who aren’t using its real value.

So, how to become data-driven?

Well, the transition to becoming a data-driven organization needs a corporate cultural change, management, clear and well-defined strategy.

Stop clinging to legacy processes

Legacy processes and systems are still in use in many organizations. There are many barriers if needed any change. Overcoming these cultural barriers will truly embrace to become data-driven.

Moving towards data-driven enterprise

The very first step is to identify the organization’s cultural barriers. The strategy must include the investments, activities that direct at the remediating the challenges. Implement effective ‘data democratization’ make the processes more efficient and effective.

Develop the data literacy

Let your employees be like complete data-savvy professionals. Data literacy can help in the simultaneous development of different main factors. The skill-building and testing will ensure the maximization of the resources once the data-driven organization becomes operational.

Embracing advanced technology

The digital revolution overhauls the entire organization than any individual asset. To improve the agility of your organization, it is pivotal to plan for IoT to generate the corporate-specific data that will be the foundation of the business decisions.

Finally, while it takes time and money to set up your organization into a data-driven path, you can make much informed decisions.