Migration from Tableau to Power BI

Why choose PowerBI over Tableau?

Power BI provides a powerful, adaptable, and cost-effective data visualisation solution for enterprises of all sizes. While Tableau is a great tool in its own way, the capabilities of Power BI such as seamless connection, accessibility, affordability, customization, and natural language processing make it an attractive option. Tableau specializes in creating beautiful visualizations, but its advertising is aimed at corporate environments with data engineers and bigger budgets and the learning curve is very steep for unaccustomed users.

Scalability:

Power BI is more scalable than Tableau, allowing enterprises to manage massive datasets and complicated data processing. Power BI can manage up to 1 PB of data, much beyond Tableau’s maximum capacity.

Integration with the Microsoft suite

Power BI works in tandem with other Microsoft applications like Excel and Dynamics 365. This enables companies to seamlessly exchange data and insights across departments and apps.

Quick Insights:

Power BI provides a shorter time to insight by helping organisations to quickly analyse and visualise data to uncover trends and opportunities. The platform provides pre-built connections and templates that allow users to connect to data sources and generate visualisations quickly.

Affordability

Power BI is less expensive than Tableau, making it an appealing alternative for small to medium-sized enterprises looking to start with data visualisation without breaking the bank. Furthermore, Power BI provides a free edition with restricted functionality, making it accessible to people who are new to data visualisation.

Enterprise level security:

Power BI provides enterprise-level security capabilities including data encryption, multi-factor authentication, and connectivity with Azure Active Directory. As a result, it is a more secure alternative for enterprises that require data protection.

It is noteworthy that Microsoft has once again been recognized as a Leader in the 2023 Gartner Magic Quadrant for
Analytics and Business Intelligence Platforms, a position they have held for 16 years. Microsoft’s accomplishment in this
regard highlights its consistency and advancement in the field of analytics and business intelligence.

Our Migration framework

JBS’s migration framework has been created and matured over several migration implementations.
These 5 critical components ensure that benefits from the proposed migration are realized. This
framework will be customized for customer requirements as part of the project execution life cycle
with reusable components and product expertise

ASSESSMENT
AND PLANNING

1
  • Assessment and Review of existing reporting and dashboarding landscape
  • Understanding of Business Requirements: Scope, Objective, Schedule, Cost, Training plan, and Technical and User Readiness assessment​.

DATA MAPPING AND TRANSFORMATION

2
  • Map the existing data to the new platform and transform it as necessary. This includes converting data models, data types, and data structures to match the new platform.
  • Prepare Migration Guide: Environmental setup, workarounds, checklist

VISUALIZATION AND REPORTS

3
  • The focus shifts to visualization and reporting. This involves creating new reports, dashboards, and visualizations in Power BI that are comparable to those in Tableau. Rebuilt semantic layer and develop new components.

TESTING AND VALIDATION

4
  • Test and validate the migrated data and report to ensure they meet the business requirements and are accurate. This includes testing data integrity, report accuracy, and system performance.

DEPLOYMENT AND USER TRAINING

5
  • Train users on how to use the platform effectively. This includes providing documentation, training materials, and support for users as they transition to the new platform
  • Plan for implementing new capabilities – Future implementation plan for new futures

Data visualization Use cases

JBS’s Expert team can assist you in transforming data from various sources into powerful
graphics, allowing you to monitor goals and results, uncover opportunities, estimate demand, and
more. Here are some of the use cases:

Healthcare

  • Tracking patient outcomes
  • Monitor resource allocation
  • Track patient experience
  • Assessing trends in disease incidence.

Energy

  • Analyze supply chain data
  • Track carbon footprint
  • Energy consumption analysis
  • Equipment monitoring and maintenance.

Finance

  • Visualize financial data
  • Track performance of investment portfolios
  • Identify and assess potential risk
  • Customer analytic

Oil and Gas

  • Monitor equipment health and predict risk
  • Tracks operations in real-time
  • Exploration of geological data
  • Track inventory and optimize the supply chain.

Case Studies

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Are You Ready to Take Your Next Step
into an Increasingly Data-Driven World?

The JBS team is always on hand to answer any queries you have about our services. Get in touch using any
of the following methods to start a conversation with our team.