Most organizations lack a business strategy that exploits the power of big data and advanced analytics (deep learning, machine learning, and artificial intelligence). They lack a framework for understanding where and how to apply big data and advanced analytics to optimize key business processes, uncover new business opportunities, and deliver a differentiated customer experience.
In this session, we will explore the transformational potential of big data and advanced analytics. We will explore the Big Data Business Model Maturity Index as a guide for helping organizations understand how they can become more effective at leveraging data and analytics to power their business models. We will also complete hands-on exercises for assessing the business value and implementation feasibility of data and analytics with respect to your organization’s key business initiatives (be sure to bring one to the session).
In this session, we will explore the following questions:
- How effective is your organization at leveraging data and analytics to power your business models?
- Do you understand your organization’s key business initiatives and how they benefit from big data and artificial intelligence?
- Do your business stakeholders actively participate in setting your use case roadmap?
- Do you understand the economic value of your data and how that affects your technology and business investments?
- Do you understand how to create a platform that exploits the economic value of your data?
To address these questions, participants in this workshop will learn the following:
- Technique for breaking down an organization’s key business initiatives into supporting data, analytics, and technology components
- Methodology for getting your business executives to "Think Like a Data Scientist" (complete with accompanying workbook)
- Simplify the concepts of data science, deep learning, machine learning, and artificial intelligence
- Outline the roles of data science and the data lake in supporting your business
- Business executives and business management who need to identify where and how data and analytics can power the business and data scientists and business analysts to help them “think like a business executive”