Women in Leadership

The growing impact of female leaders on the business landscape is only beginning to be understood. Here we explore the current state of play for female professionals, the benefits of diversity for organisations, and how to implement diversity programmes in Read More…

What’s Happening in Leadership?

Leadership as a Collective Organisational redesigns are placing much more emphasis on the need for different leadership skills. These re-designs can involve flatter organisational structures, broader spans of control, decentralised authority, reduced layers of management, intergenerational workforces and remote and Read More…

Future Jobs: A Map of Data Related Roles

. New Data Job Titles With data top of the agenda for pretty much every organisation, there has been flurry of new data job titles. Some of these titles relate to new roles, while others are a rebranding of existing Read More…

Communicating in an Emergency

  On January 15th, 2009 captain Chesley “Sully” Sullenberger relayed the following message to the air-traffic controllers at New York’s JFK airport: Hit birds. We’ve lost thrust on both engines. We’re turning back towards LaGuardia. . The rest is history. Read More…

People Hacking – A Risky Business

  Lock the doors, close the windows, set the alarm and secure your building. Create firewalls, encrypt mobile phones, beef up email security, and you’ve begun to protect yourself digitally. There is one factor however that means you will never Read More…

Simulated Learning

Simulation has been used for many years in the development of surgeons, pilots & astronauts. It involves putting people in the driving seat and giving them the opportunity to make decisions and mistakes in a safe environment. Why does it Read More…

Is your Data an Asset or Liability?

A recent study of 75 datasets across 30 Irish organisations (of varying types, sizes and sectors) reveals that the average data quality score is 53%. So half of our critical business data is either incomplete and/or inaccurate (aka “bad data”). Read More…