Enhancing Analytical Capabilities

To leverage predictive analytics and machine learning (ML) in Sisense for enhanced insights and decision-making, you can:

1. Use Sisense BloX: Integrate ML model outputs into your dashboards via custom widgets.
2. Integrate R and Python: Embed R and Python scripts in your data transformation process within Sisense for predictive modeling.
3. Develop Custom Data Connectors: Connect Sisense with external ML platforms (like AWS SageMaker or Azure ML) to import model predictions.
4. Leverage Sisense for Cloud Data Teams: Directly write SQL, Python, and R code in your analytics environment for real-time predictive analysis.
5. Explore Plugins and Add-ons: Utilize Sisense Marketplace and other resources for tools that facilitate predictive analytics.
6. Utilize Advanced Analytics Templates: Start with Sisense templates for common predictive analytics applications to speed up your setup.

Focus on ensuring data quality, selecting appropriate models, and generating actionable insights to support informed decision-making.

 

Hello AnilAhir,

Are you a current Sisense customer? If so we would love to schedule some time with you to review your use cases and business needs. Please reach out to your account team to get something set up.

In the meantime, here is some documentation around predictive analytics. 

https://docs.sisense.com/main/SisenseLinux/ai-overview.htm

https://www.sisense.com/glossary/predictive-data-analytics/

https://www.sisense.com/blog/predictive-analytics-the-next-frontier-of-business-intelligence/

Please let me know if you have any additional questions.

Regards,

Hello AnilAhir ,

I wanted to follow up to see if any of the solutions offered worked for you.

If so, please click the 'Accept as Solution' button so that other users with the same questions can find the answer faster. If not, please let us know so that we can continue to help.

Thank you.

Hello AnilAhir,

I wanted to follow up to see if any of the solutions offered worked for you.

If so, please click the 'Accept as Solution' button so that other users with the same questions can find the answer faster. If not, please let us know so that we can continue to help.

Thank you.