5 Common Types of BI & Analytics Platform Migrations

There’s a multitude of different reasons why an organization may consider a business intelligence (BI) platform migration. In most cases, the type of migration needed will vary based on the specific needs and goals of the organization. 

Considering a BI platform migration? Here are some of the most common types of BI platform migrations.

On-Premises to The Cloud

This type of migration involves moving an organization’s BI platform from an on-premises environment (such as a local server or data center) to a cloud-based environment. For example, an organization might move its BI platform from an on-premises data warehouse to a cloud-based platform like the Snowflake Data Cloud

This can provide organizations with greater scalability, flexibility, and cost-effectiveness and make it easier to access and analyze data from anywhere, anytime. Cloud-based BI platforms, like Tableau Cloud, also offer additional features and capabilities, such as support for real-time analytics and machine learning, that are not available on on-premises systems.

Read about phData’s Tableau Cloud Migration offerings.

Legacy to Modern

This type of migration involves moving an organization’s BI platform from an older, legacy system to a modern, cloud-based platform. For example, an organization might move from an on-premises BI tool like Cognos to a modern cloud-based platform like Tableau

This can provide organizations with access to new features and capabilities, such as real-time analytics and machine learning, and can help them to improve the accuracy and speed of their data analysis. Modern BI platforms, like Tableau and Sigma Computing, are also more user-friendly and intuitive, making it easier for organizations to create and share data visualizations with their teams.

Single to Multi-Cloud

This type of migration involves moving an organization’s BI platform from a single cloud provider to a multi-cloud environment, which can provide organizations with greater flexibility and control over their data and analytics. This can allow organizations to use the best features and capabilities from multiple cloud providers, such as Amazon and Google Cloud. It can also give them greater resilience and redundancy in case of outages or other disruptions.

In-House to Managed Services

This type of migration involves moving an organization’s BI platform from an in-house team to a managed services provider. For example, an organization might outsource the management and maintenance of their BI platform to a provider. This can provide organizations with access to a broader range of expertise and resources, and can also help them to reduce their IT overhead and focus on other strategic priorities.

Learn about phData’s Elastic Platform Operations for fully managing your analytics.

Data Source Migration

This type of migration involves moving an organization’s data sources, such as databases and applications, to a new platform. This can have a significant impact on downstream BI platforms, as the data sources are the foundation for the data analysis and visualization processes. 

For example, suppose an organization moves from an on-premises database to a cloud-based database like Snowflake. In that case, they will need to update their BI platform and any associated data pipelines to ensure that the data is still accessible and accurate.

Conclusion

Overall, the specific type of BI platform migration that is right for an organization will depend on its specific needs and goals. By carefully considering these factors, organizations can choose the right migration path that will help them to unlock the value of their data and make more informed decisions.

No matter the needs of your organization, you can rest assured that phData is an expert in migrations. Whether you need help identifying the necessary type of migration for your organization or performing the migration itself, phData has a team ready to assist you. 

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