This course provides an overview of how to evaluate an enterprise’s digital investment portfolio and then how to enable digital transformation via organisational change. In a context where global disruption is the norm, enterprise agility is more important than ever. To build enterprise agility you need a solid foundation of appropriate organisational structure and governance, as well as financial and human capital and a strong technical platform. This course covers how to evaluate and prepare an enterprise for digital transformation.
Launching a new digital investment requires the know-how to select technology, justify the investment and obtain stakeholders’ approval. This course gives you the knowledge and tools to justify your digital investment, compare real costs, understand the required resources and finally launch your project, program or product.
This course provides a practical framework for identifying digital change initiatives with enterprise analysis to highlight opportunities where real change is needed within the organisation. The framework covers how to appropriately prioritise these opportunities, identify missing competencies and resource them, and then how to evaluate and propose digital change solutions. The course concludes with how to devise and plan an appropriate implementation strategy and trajectory.
The Enterprise Digital Portfolio Management course covers key concepts required to manage an enterprise digital investment portfolio, including classical and goal-driven approaches. The course considers both the organisational and technological change potential of such investments.
This one day course builds on the foundation of Data Governance I, and dives deeper into selected areas that are designed to provide the most practical and real-world applications of data governance. It includes the change management journey to the “data-driven” organisation, and implications of the necessity of model governance in the context of data science, AI/ML initiatives and RPA/IPA .
Report automation can deliver powerful, time-saving results. This course teaches analytics professionals to automate the creation of PowerPoint packs from input Excel workbooks using R. Time is allotted for students to implement techniques taught so that, by the end of the course, students will have wrangled input data, created plots and tables, defined a PowerPoint template, and built a sample set of slides.
This course prepares data analytics professionals to communicate analytics results to business audiences, in a business context while being mindful of the skills, incentives, priorities and psychology of the audience. It also equips analysts [...]
The Data-Driven Decision-Making course is for executives and managers who want to leverage analytics to support their most vital decisions and enable better decision-making at the highest levels. It empowers senior executives with skills to make more effective use of data analytics. It covers contexts including strategic decision-making and shows attendees ways to use data to make better decisions. Attendees will learn how to receive, understand and make decisions from a range of analytics methods, including visualisation and dashboards. They will also be taught to work with analysts as effective customers.
The era of Big Data presents exciting opportunities for leveraging analytics to create competitive advantage and new sources of revenue. To maximize business value, however, an enterprise must innovate in the context of good governance models to avoid technology projects for the sake of technology. In this workshop we describe a framework developed at the Massachusetts Institute of Technology for maximizing business value with the right combination of innovation and governance. We will examine new scenarios for monetising from Big Data sources. We will also explore opportunities for exploiting non-traditional data types from both internal and open data sources.