Creating a Data-Driven Culture

The rise of the data-driven enterprise

Today’s businesses are being transformed through data sciences and advanced analytics such as artificial intelligence and machine learning. As your organization develops strategies to compete with other information-enabled businesses, your team will need a supportive culture and new capabilities to operate effectively.

Virtual Program Format

If you are ready to think more critically about re-designing, leading, and managing your business, your teams, and your business processes, this virtual course will provide you with tools to evolve your group’s culture to one that feels empowered by evidence-based insights.

This live, online course consists of:

• Three 3-hour live-streamed virtual class sessions (held on consecutive days) and a 60-minute online orientation one day prior to the start of the course
• Daily team exercises, which provide an opportunity to gain insights and perspectives from other participants in other industries and functions
• Robust virtual class discussions with your instructor and your course-mates, who face similar challenges and work dynamics to yours

Classes will be held using widely available video-conferencing technology, which has become our virtual teaching platform. The technology creates a virtual classroom where you can see the professor and presentation screen, as well as seeing the other participants. Similarly, the professor can see all of the students who engage online during the group session. You’ll be able to communicate with both the professor and your peers through this platform. This technology is the same as the one we use in our executive MBA classes.

Across all industry segments, businesses are transitioning to high-performance, data-driven enterprises. Facing tradeoffs in where and how they operate and compete for customers, businesses are turning to exponentially-growing volumes of data--their own as well as data collected by third parties--to help them understand customer preferences, optimize capital investments, or drive operational efficiencies. Beyond historical reporting, predictive and prescriptive analytics can guide both your strategic decisions and your operational performance. However, leveraging these new analytic capabilities requires new institutional competencies for gathering, analyzing, intepreting, and acting upon the insights you derive from your data.

Virtual Creating a Data-Driven Culture will introduce you to the strategies and competencies required to compete with data-driven operating models and cultures. Although the strategies, skills, and approaches covered in this live-online program apply to all industries, this course uses the health care industry to illustrate the concepts, methods, and actions required for transformation.

Curriculum

As a leader, what you do can influence how quickly and how effectively your organization adapts to new data analytics processes and behaviors. When you embrace the opportunity to elevate your understanding of your business, your competitors, and your marketplace, and employ data analytics insights in your decision-making, your employees will soon follow.

Topics

• Program design – asking and answering high-impact questions
• Business alignment – connecting analytics to your business strategy
• Data and technology planning – ensuring strong support for a more data-driven business
• Managing the lifecycle – growing the power of your analytical insights over time
• Interpretation and communication – ensuring insights create real business impact
• Deployment – incorporating analytics within your existing business processes
• Organizational design – building new analytics and data sciences roles and teams that can carry your business forward

Program Objectives

At the end of the course, you’ll be able to:

• Describe the differences between business intelligence and more advanced forms of analytical insights (e.g., machine learning, artificial intelligence, predictive analytics, prescriptive analytics)
• Enumerate the organizational competencies–people, process, and technologies–required to support a data-driven business model
• Align business strategies and imperatives with underlying analytics and data science capabilities
• Formulate more powerful analytics questions and challenge how enterprises approach asking and answering analytics questions
• Identify the phases of work associated with developing novel analytic insights, and how those phases evolve over time
• Assess the general suitability of organizational data to address critical business questions
• Design a preliminary analytics approach to answer one or more analytics questions
• Critically evaluate the effectiveness of analytics-related communications and interpretations
• Assess an organization’s general maturity in analytics and data science, and what opportunities for further growth exist
• Develop organizational and staffing growth plans to provide new analytic and data science capability and capacity