Monday, August 22nd

The use of analytics is more easily said than done. When taking the next step towards a more evolved analytics approach and model, strong leadership support with constant reinforcement of analytics on organizational value is vital for success. Ultimately, weaving analytics into the organizational DNA will drive the organization’s analytics maturity and improve its value proposition.

Key Takeaways:
• The increased importance of analytics on the changing value proposition in the healthcare industry
• Driving towards value versus insight in restructuring your organization’s backbone
• Gleaning into best practices via a leading healthcare organization

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Analytics can drive digital performance-- but that simply isn’t enough. To be really good in digital leadership, you need to change the way you work. In this session, we’ll walk through how most enterprises enable transformation and show why standard practices and approaches of working guarantee bad decisions, bad experiences and bad performance. Then we’ll talk through how to do it right by delving into the key capabilities, how they need to work together to drive a digital shift.

Key Takeaways:
• The key capabilities necessary to do execute a digital-first strategy
• Pinpointing the challenges stunting adoption or limiting the effectiveness of those agile capabilities in the enterprise
• Building a roadmap toward maneuvering your enterprise into digital maturity

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Today’s increasing demand for a data-savvy workforce requires investing in talent equipped with strong analysis and business acumen. As the principal data investigators relaying complex algorithms into business language, hiring data scientists is an expensive endeavor that requires careful scrutiny before execution. In navigating the complex culture of data, this workshop session will go through the steps in rating your maturity to assess your readiness to take the leap forward.

Key Takeaways:
· Understanding your unique business need for hiring data talent
· Mapping out benefits and limitations: what can data do for me?
· The data, intuition, and knowledge necessary for your data scientists to thrive in your business

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Advanced analytics, such as predictive modeling, can augment business performance-- but only if the organization is ready to implement the results. Developing a culture supporting the creation of analytic models that drive essential business objectives is vital for organizational growth. Scaled to your industry needs, this two part session will serve as a how-to guide for understanding the technical aspects of advanced analytics deployment, and using this foundation to effectively communicate and align with greater business needs.

Key Takeaways:
• Benefits and limitations of using operationally useful analytic models
• How to guide senior leadership to ask meaningful business questions with measurable results
• Lessons learned: Understanding what you want vs. what you need

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