Categories
Maker

BPS World Research Highlights Challenges Facing Employers in 2017 Following Brexit

Global resourcing specialist BPS World has warned that one of the main challenges facing employers in the UK in 2017 will be the impact of Brexit on the ability to attract talent.

Categories
Maker

The Nature of Good ‘Project Chemistry’

The way a team plays as a whole determines its success. You may have the greatest bunch of individual project stars in the world, but if they don’t play together, the club won’t be worth a dime. The way a team plays as a whole determines its success. You may have the greatest bunch of individual project stars in the world, but if they don’t play together, the club won’t be worth a dime.

Nicolini (2002) theoretical framework asserted that good project chemistry enhances the operation of project teams, quality of the final product allowing the early detection of problems.

Categories
Maker

The Good, the Bad and the Ugly of Agile Methodologies

The “agile” buzzword has really taken hold among a myriad organisations worldwide.

Categories
Maker

Top 10 Project Management Myths Debunked

Project management is challenging enough without the myths. The profession has come a long way since the 1990s and some of these myths are fading. However, we still see remnants of them in one form or another. Great projects cut through false assumptions and confusion, allowing their teams to make smart decisions based on reality.

Categories
Maker

Project Manager or Scapegoat?

Project managers have the toughest job; you’re pulled in a myriad of different directions trying to please management, your team and your clients. While you are often asked to perform miracles with tight turnaround times, it’s your head on the block when things don’t go according to plan.

Categories
Maker

The 8 Biggest Risks of Big Data Projects

The phenomenon of “Big Data” exacerbates the tension between potential benefits and privacy risks by upping the ante on both sides of the equation. Any project can fail for any number of reasons: bad management, poor budget management, or just a lack of relevant skills. However, big data projects bring their own specific risks.