Modernize your analytics and BI capabilities by selecting the products that best meet your needs. See side-by-side, scripted demonstrations of four leading vendors. What are the key features to consider and how do they compare in action? How can you improve your own evaluation process and internal proofs of concept? What are the main strengths and weaknesses of these vendors?

This analyst presentation details Gartner's Return Opportunity Appetite Risk (ROAR) Portfolio Optimization Model that is a framework to help CDOs, CIOs and data and analytics leaders across the organization identify prioritize and select combinations of investments in data and analytics that optimize business impact and align to key business initiatives and strategic intent.

AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented user experiences beyond dashboards to the use of decision intelligence and X analytics, to finding new insights across streams of data and content, there is a rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to prioritize the innovations that will drive business value.

Analytics and BI platforms are rapidly transforming from focusing on enabling the analyst to augmenting the consumer. This is being driven by a convergence of capabilities including, conversational and consumer experiences and augmented analytics, a disruptive trend that leverages machine automation and AI to transform how data is prepared, how insights are generated and shared and how data science and ML models are created and operationalized. This presentation provides insight into how you can prepare for and leverage these market disruptions in your organization.

This session will provide attendees an opportunity to see analytic tools being applied in a controlled, consistent setting via a demonstration of product capabilities. Vendors will demonstrate their platform capabilities based on a guided script and common format in a moderated setting using the data from the BI and data science and machine learning bake-off sessions. This session is educational to help prospective buyers and influencers understand the analytic process and the look, feel, use and application of each tool.

This session showcases top emerging trends with demonstrations from representative vendors innovating in these areas. Key issues addressed include:
- How can you use the Hype Cycle to track emerging trends?
- What are three emerging trends that will transform your organization and what value do they provide?
- Which are the vendors to watch? What challenges should you consider?

A definitive way to prioritize your data and analytics projects intake funnel. A risk assessment and business value approach. In this session we will drill into the details of using the ROAR model toolkit for project ranking and portfolio optimization.

This magic quadrant session discuss key trends and will highlight the results of the Analytics and BI, Data Science and ML and Analytics Service Providers magic quadrants.

This session will provide attendees an opportunity to see analytic tools being applied in a controlled, consistent setting via a demonstration of product capabilities. Vendors will demonstrate their platform capabilities based on a guided script and common format in a moderated setting using the data from the BI and data science and machine learning bake-off sessions. This session is educational to help prospective buyers and influencers understand the analytic process and the look, feel, use and application of each tool.

Data and analytics is becoming strategic to organizations as they digitally transform. Yet, most organizations don’t have a systematic way to assess and optimize value from their data and analytics (including AI) investment options. This presentation details Gartner's Return Opportunity Appetite Risk (ROAR) Portfolio Optimization Model that is a framework to help CDOs, CIOs and data and analytics leaders across the organization identify，prioritize and select combinations of investments in data and analytics (value streams) that optimize business impact and align to key business initiatives and strategic intent.