Which is better in 2020, Yellowfin or MicroStrategy BI tools?

Determining which BI tool is "better" between Yellowfin and MicroStrategy can depend on various factors, including specific business requirements, user preferences, budget considerations, and the complexity of analytical needs.  I don't have specific data on developments that occurred in 2020, so it's important to check for any updates or changes since then. Here are some considerations for both tools:

Yellowfin:

1. Ease of Use:

   • Yellowfin is known for its user-friendly interface, making it accessible to users with varying levels of technical expertise.

2. Embedded Analytics:

   • Yellowfin excels in embedded analytics, allowing seamless integration of analytics into other applications.

3. Collaboration:

   • Yellowfin places a strong emphasis on collaboration features, enabling users to share insights and collaborate on data-driven decisions.

4. Mobile Accessibility:

   • Yellowfin provides robust mobile BI capabilities, allowing users to access and interact with reports and dashboards on various devices.

MicroStrategy:

1. Scalability:

   • MicroStrategy is recognized for its scalability and ability to handle large datasets and complex analytics scenarios. It is suitable for enterprises with extensive data needs.

2. Advanced Analytics:

   • MicroStrategy offers advanced analytics features, including data mining, predictive analytics, and statistical analysis.

3. Enterprise-level Features:

   • MicroStrategy provides a comprehensive set of BI and analytics capabilities, making it suitable for large enterprises with diverse analytical requirements.

4. Security and Governance:

   • MicroStrategy places a strong emphasis on security and governance features, making it a preferred choice for organizations with strict compliance requirements.

Considerations:

1. Specific Business Requirements:

   • Evaluate your organization's specific BI requirements. Consider whether the features offered by each tool align with your business needs and goals.

2. Budget Considerations:

   • Assess the total cost of ownership, including licensing, implementation, and ongoing maintenance. Consider your budget constraints and choose a solution that provides value for your investment.

3. User Adoption:

   • Consider the ease of adoption for end-users. A tool that is user-friendly and aligns with the skills of your user base may contribute to higher user adoption rates.

4. Scalability Needs:

   • Assess the scalability requirements of your organization. If you anticipate significant data growth and complex analytics needs, a scalable solution like MicroStrategy may be beneficial.

5. Integration Capabilities:

   • Evaluate the integration capabilities of each tool with your existing systems, databases, and applications. Choose a BI tool that can seamlessly integrate with your technology stack.

6. Community and Support:

   • Consider the availability of a user community and support resources. A strong community can provide valuable insights, and responsive support is crucial for addressing issues promptly.

Before making a decision, it's advisable to conduct a detailed evaluation, possibly through a trial or proof of concept, to determine which tool better aligns with your organization's needs. Additionally, check for any updates or changes in features and capabilities that may have occurred.