The highly competitive business arena makes businesses prone to customer loss hence revenue erosion.
Therefore, businesses should empower themselves with the right technology to effectively deal with the threats of the overall business environment.
Microsoft Dynamics365 is an effective software tool to streamline business operations and bring efficiency and productivity.
Moreover, the software tool can integrate enterprise resource planning(ERP) and customer relationship management (CRM) to ease business operations and build stronger customer relationships.
The strong data analytics capabilities of the software make it an ideal source of data-driven insights. And the software tool provides market intelligence, enabling businesses to make prudent business decisions.
Microsoft Dynamics365 is built on the .NET framework and has an open architecture.
As a result, the software tool is flexible, highly customizable and can easily integrate with third-party apps.
However, the implementation process is not straightforward.
You will find many challenges hindering the implementation process. So, before implementing the software tool, you should make yourself aware of the difficulties.
Here are the challenges:
Wrong Implementation Partner Selection
Microsoft does not sell the software directly to customers. Instead, the company sells the software through partners. And the partners also implement the software for clients.
There are many implementation partners spread across different geographies.
Despite the number of such partners, there is a wide variation in their competencies. For example, if you run your business in Saudi Arabia, you should hire a Microsoft Dynamics partner in KSA.
In other words, you will find good and bad partners.
Moreover, you can also have difficulty selecting the right partner who can understand your problems and solve them.
If you hire an incompetent implementation partner, your project may fail or be faulty.
Lack of Compatibility
Microsoft ERP is a highly complex web application tool. So, it requires expert guidance to render successful implementation.
So, you cannot rely on your in-house IT team. If you do so, the implementation can be faulty.
It can happen because your IT team is not aware of the nitty-gritty of the implementation.
In addition, your in-house team can consume more time in the implementation process. And the possibility of success is very less.
In other words, it can be a waste of time for your IT team. And they could have spent that time on other productive work.
Therefore, you should hire a competent Microsoft Dynamics implementation partner.
Such a partner can understand your problems and solve them effectively.
However, you should not totally disregard your IT team. They can work alongside the implementation partner to ensure smooth execution of your project to boost your return on investment for the long term.
If you implement your project without the guidance of an expert, your project may end as a failure.
It can take months to back track the project in such a failure, wasting time.
Data Migration
The complexity of a data migration project is proportional to the data volume.
That means the more the data volume, the more complexity.
Again, the same is the case with the time of data migration. The more the data volume, the more the data migration time.
Remember, unsuccessful data migration can result in an implementation failure.
Also, every Microsoft Dynamics365 implementation is different. And the following factors account for time consumption in an implementation project:
- The volume of data to be transferred from the old to Microsoft Dynamics365
- The framework to be used for migrating the data
- The competency level of the implementation partner
- The capacity of the new system to hold the data
- The capacity of the data migration tool.
Regardless of the size of an implementation project, the data migration takes one-fourth of the implementation time.
It is a good idea to test the data compatibility of the new system with a small volume of test data. Then, you can migrate the entire data only if the test data shows success.
Conclusion
It is a good idea to examine the possible challenges before implementing the project. It can impact the success of the project.