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Seamless Transition with Praxiis

Effortlessly migrate and integrate your data with Microsoft Dynamics 365, the Power Platform and Praxiis

Data migration and integration are critical tasks for businesses that are transitioning to new software or systems. Praxiis can help businesses with the process of migrating and integrating their data with Microsoft Dynamics 365 and the Power Platform.

 

At Praxiis we can assist with migrating data from legacy systems or other platforms to Microsoft Dynamics 365 and the Power Platform. We can help with data mapping, data validation, and data cleansing to ensure that the data is accurate and complete. We also can help to integrate data from multiple systems, such as Salesforce, SharePoint, and other platforms into Dynamics 365 and Power Platform.

 

We take a consultative approach to every engagement, working closely with our clients to understand their specific needs and tailor our services to deliver real, measurable results. We can assist with data migration and integration, providing training and support to ensure that employees are able to fully utilize the capabilities of Dynamics 365 and Power Platform.

Step-by-Step Data Migration: Achieving Success with Praxiis

A successful data migration involves several key steps to ensure that the data is accurately and completely transferred from the old system to the new system. These steps include:

 

  1. Planning: This is the first and most important step in the data migration process. During this stage, the scope of the migration is defined, including the data that will be migrated, the timeline for the migration, and the resources that will be required.
     

  2. Data Extraction: This step involves extracting the data from the source system. The data is typically extracted in a structured format, such as CSV or SQL, so that it can be easily imported into the new system.
     

  3. Data Cleansing: During this step, the data is reviewed and any errors or inconsistencies are corrected. This step ensures that the data is accurate and complete before it is migrated to the new system.
     

  4. Data Mapping: This step involves mapping the data fields from the source system to the fields in the new system. This ensures that the data is properly organized and structured in the new system.
     

  5. Data Transformation: During this step, the data is transformed to fit the specific requirements of the new system. This may include converting data types, reformatting data, or removing unnecessary data.
     

  6. Data Loading: This step involves loading the data into the new system. This may be done in stages, or all at once, depending on the size and complexity of the data.
     

  7. Data Validation: After the data is loaded into the new system, it is thoroughly reviewed to ensure that it was loaded correctly and that all data is accurate and complete.
     

  8. Go-Live and Post-Migration Support: Finally, after the data migration process is completed, the new system is put into production, and Praxiis provides ongoing support to ensure that the system is running smoothly and any issues are quickly resolved.

 

Overall, the data migration process requires careful planning and execution to ensure that the data is accurately and completely transferred to the new system, and that all data is accurate and complete before it is migrated to the new system. Praxiis' team of experts are ready to help you through this process, and make sure that the data migration is a success.

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