Who Should Attend?
Senior leaders, especially senior managers of firms in the process of developing their analytics capabilities, who need to understand how to perform their roles within an organization seeking to leverage their business analytics insights.
NOTE: This is not a technical course; it does not provide guidance about how to use analytics methodologies, nor train data scientists how to perform analyses.
More About the Program
Over the course of one fast-paced day, you’ll learn from a mix of lectures, class discussions, and interactive exercises. Each of these teaching methods is designed to help you think more critically about re-designing, leading, and managing your business, your teams, and your business processes. Ultimately, you’ll be able to evolve your group’s culture to one that feels empowered by evidence-based insights.
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
