Tableau is one of the most popular analytics platforms in the world used by more than 95,000 businesses worldwide according to 6sense. Given its widespread adoption, migrating to Tableau is a common choice for companies looking to replace a legacy business intelligence and data visualization tool with a more efficient, up-to-date solution.
If you are planning to migrate from a legacy analytics tool and are currently evaluating solutions on the market, Tableau is worth considering for its advanced analytics, self-service capabilities, and flexible integration.
In this article, Tableau experts from Itransition outline key reasons to migrate to Tableau and share a brief guide on how to do it.
Key reasons why companies migrate to Tableau:
- Leveraging extensive analytics capabilities
Generally, legacy business intelligence and data visualization tools lack many useful capabilities found in modern solutions, particularly when it comes to analytics functionality. Older systems, for instance, may lack integrated AI-powered prescriptive analytics or predictive modeling, which can hinder users’ ability to proactively anticipate future market trends, shifts in customer behavior, and other tendencies. Typically, such systems also cannot efficiently process unstructured data (images, text, sensor data, etc.), so users have to draw conclusions from limited or incomplete datasets, which can lead to misguided or inaccurate decisions.
As an up-to-date analytics platform, Tableau offers a wide range of integrated AI capabilities. The platform, for instance, includes built-in time-series forecasting features that enable users to predict future trends based on historical data. Additionally, users can leverage Tableau’s “what-if” scenario planning capabilities to assess the potential impact of changes in market conditions or shifts in consumer needs. Tableau also provides tools for transforming unstructured data into structured formats such as .csv, .hyper, or .xlsx, enabling users to generate insights from richer datasets and make more informed decisions.
- Accelerating data democratization
Data democratization implies that any business user, regardless of technical expertise, is able to access data and use it to make informed decisions, which is critical in today’s data-driven and fast-paced business environment. However, achieving true data democratization can be challenging, especially if corporate analytics tools are outdated. Such tools typically require manual extraction, transformation, and loading (ETL) processes to prepare the data, which requires SQL skills. Once the data is prepared, technical expertise is also needed to create reports and visualizations from it. As a result, business users depend on technical teams for even basic reporting tasks, creating bottlenecks and delaying decision-making.
Tableau, in turn, features a broad range of capabilities allowing non-technical users to access and explore data independently. For example, it provides agentic AI capabilities, which allow users to delegate all data preparation tasks to AI assistants through natural language prompts. AI agents can also generate visualizations like charts or graphs and provide natural-language explanations of insights within user dashboards, which facilitates data exploration. As a result, Tableau reduces users’ dependency on technical staff, which can significantly contribute to data democratization in your company.
- Optimizing operational costs
Legacy data analytics tools can be hard and costly to maintain for several reasons. For instance, many of these tools are built with outdated programming languages and frameworks, and they do not integrate seamlessly with newer tools and technologies, requiring costly middleware or custom connectors to ensure interoperability. Maintenance of legacy tools is additionally complicated by the scarcity and high costs of tech specialists skilled in outdated technology. Additionally, most legacy tools deployed on-premises demand extensive resources for server setup and provisioning.
Migrating to Tableau can help a company eliminate these and other complexities related to software maintenance. Tableau’s native connectors and a robust API ecosystem enable the platform to integrate with a wide variety of modern solutions, including cloud platforms, data warehouses, and enterprise apps. Tableau can also be fully hosted in the cloud, enabling companies to reduce the administrative overhead of provisioning on-premises infrastructure. Finally, Tableau benefits from a large talent ecosystem, making it easier to find skilled professionals for ongoing maintenance and support. According to an edtech and job posting platform, Refonte Learning, the talent pool for Tableau professionals is more saturated than that for Power BI, another popular analytics tool.
5 steps to a successful Tableau migration
Built on experience from many Tableau migration projects, this structured guide can help you navigate the migration process and move to Tableau smoothly and step-by-step.
1. Assessment and discovery
- Start by defining the business goals you aim to achieve with Tableau migration (i.e., improving data accessibility, accelerating decision-making), as without clear objectives, the project can lack focus, making it difficult to prioritize tasks and measure success effectively.
- Conduct an audit of your current data architecture, reports, and dashboards, along with an end-user needs assessment. This will help you identify functional and non-functional requirements for the Tableau solution and decide what should be migrated and what is no longer needed.
- Based on the defined requirements, choose the right Tableau product and license model. Also, before committing to a purchase, consider using a free trial to validate that the chosen product and license fit your requirements.
2. Solution architecture design
- Design the architecture of your future Tableau solution and create data models aligned with predefined requirements to ensure that the new system supports your data analytics needs.
- Develop data cleaning, transformation, access, and security policies, assign data stewards, and implement proper data governance processes and tools to help keep your data safe and ensure compliance with relevant data governance regulations.
- To ensure only quality data enters the new system, cleanse your data before the migration, which can involve transforming data formats and using tools like Tableau Prep for data de-duplication.
- Create a Proof of Concept (PoC) to validate the feasibility of your solution before the migration and demonstrate its value to stakeholders.
3. Migration planning
- Assemble a well-rounded team for executing the migration, including project managers, Tableau developers, data engineers, and testing specialists.
- Determine the migration approach (e.g., manual, automated, or hybrid) and create a realistic and actionable project roadmap with clear milestones and deliverables that can guide a team towards successful project completion.
- Create a risk management plan to mitigate common Tableau migration risks and company-specific risks throughout project execution.
4. Migration execution
- Develop new reports and dashboards in accordance with your requirements and visual design best practices.
- Ensure your new Tableau environment is properly configured and that the necessary security controls and permissions are set.
- Transfer your existing data, reports, and dashboards to the new environment by following the chosen Tableau migration approach.
- Connect the new system with your internal and external tools by using built-in and custom connectors.
5. Migration testing and launch
- Conduct a comprehensive assessment of the Tableau solution by running functional, performance, and usability tests to ensure it aligns with your requirements and works as expected.
- Deploy the Tableau solution into the production environment.
- Provide user training using a mix of training formats, such as sharing online resources, conducting scheduled classes or workshops, and onboarding users.
Final thoughts
With its powerful visualization functionalities, advanced data analysis tools, and extensive integration options, Tableau can be a robust choice for migrating from a legacy analytics tool. If you decide to switch from your outdated software to Tableau, you can use the five-step algorithm in this article as a guide to a successful migration.
To ensure that the transition to Tableau goes smoothly and brings tangible business results, consider resorting to Tableau experts, who can provide you with a tailored migration strategy. If you lack in-house talent to execute the migration, experienced Tableau consultants can manage both organizational and technical aspects of the process.
