IT Directors’ Forum, Athens, 22 October 2015 (link in Greek)

Barry Devlin will deliver the keynote “Reinventing Business and IT Leadership through Big Data” and a pre-seminar “Building a Data Driven Business: Opportunities and Pitfalls” on 21 October, 14:00-19:00

[Keynote] Reinventing Business and IT Leadership through Big Data

The creative use of big data, especially that from the Internet of Things, is transforming business models, empowering start-ups, and enhancing or destroying existing business value. Many proponents focus on marketing uses of big data, but most value—or disruption—will come from its daily application in novel and transformative ways. For CIOs, making the right architectural and technological choices is vital in designing and managing the automated environments big data should have and the Internet of Things will demand. However, true leadership requires looking at the broader ethical and economic issues raised by big data. Concerns around personal privacy, employment and social disruption must all be urgently addressed if individual businesses and society at large are to successfully navigate this data driven transformation of all aspects of business and technology.

In this keynote session, Dr. Barry Devlin takes stock of what we are doing with big data, where we are succeeding or failing and, most importantly, offers suggestions on where business and IT leaders must focus.

[Seminar] Building a Data Driven Business: Opportunities and Pitfalls (link in Greek)

Data driven business is becoming increasingly important as social media and the Internet of Things offer ever larger quantities of data about people’s thoughts and behaviours, creating new business opportunities for interacting with customers, anticipating their needs and responding proactively to them. This same data allows invasion of personal privacy, customer alienation and market destruction. These opportunities and pitfalls demand much broader thinking and planning than traditional BI projects. This workshop covers:

  • Business drivers and sample use cases for a data driven business
  • Architectural approaches, evolution vs. revolution
  • Positioning data, information, knowledge and meaning
  • Context-setting information and the evolution of metadata
  • Technology choices, focus areas for new tools, hype to avoid
  • Defining a roadmap to and implementing a data driven business

Participants will benefit from:

  • Discovering the business drivers for a data-driven business and how to address them
  • Exploring a modern architecture for information and process in data-driven business
  • Approaches to build upon and expand current BI systems towards data-driven approaches
  • Defining a roadmap to a data-driven business, covering organizational, data management and other aspects