Transformation programs need transformational thinking – thinking that cuts through misguided norms that inhibit true innovation. In this course, we will take a discerning look at common inhibitors prevalent in most organizations, such as preconceived notions about data-driven decisions, self-service analytics, and emerging technology. You will learn how these notions can inhibit the rapid progression of your data and analytics programs, and how to counter them using product management techniques.
In addition to testing conventional thinking on everything from organizational strategy to low-commitment technology strategies, this course will present a comprehensive codex toolkit of frameworks and methods for implementing sustainable, results-oriented transformation programs. It will also provide case studies of successful implementations.
You Will Learn
- A product management framework that serves as a central focus for transforming your analytics program
- Opportunity management techniques that disruptive organizations use to capture winning ideas and ensure they progress through a collaborative and self-organizing development pipeline
- Organization strategies based on emergence and complexity theory that cultivate self-organizing behaviors
- Product blueprint development techniques to systematically manage analytics products through their lifecycles
- How to build asset-based architectures as responsive building blocks to stabilize the volatility in product management
- How the analytics curator may be the next most sought-after professional
- A curated knowledge management model that forms the foundation for systematically building, publishing, and delivering knowledge across the enterprise and beyond