The A-Z of Successful Meetings

17/05/2012

During my life in the corporate world, like most people, I spent alot of time in meetings. Often these achieved little and seemed to be devices to fill up the days of managers who wanted to feel important. Once I got involved in business improvement I joined the campaign to improve the meetings experience across the organisation.

Moving into consultancy work has allowed me to carry on my crusade for better meetings. I’ve summarised my ideas in this series of blog posts covering the whole alphabet. I’ll be covering a different letter each week, so watch this space!

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New species in the Data Zoo–The PoD

28/12/2010

imageOver a period of time we have created a popular series of blog posts with a collective title of the Data Zoo which explore how people’s behaviours towards data can impact the quality and integrity of data.

One of the people I have worked with for a few years, Martin T, suggested a new species should be added to the Data Zoo – the PoD or Prophet of Doom.

Want to find out more about the PoD? Then read on…

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Do your Data Quality Heroes know who they are?

30/11/2010

imageIf you are a data steward (or similar) tasked with improving the quality of your organisations data, then you will be reliant on many people to help improve your data quality who will often be outside your direct team. Above all, you may have people who have more beneficial impact on data quality than their peers.

These are your Data Quality Heroes,but do they know they are heroes?

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Fighting data quality crocodiles

24/11/2010

imageA colleague said recently – “We need to concentrate on fighting the crocodiles nearest the canoe”, which is both useful to remember and also one of the reasons why some organisations struggle to address their data quality problems effectively.

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Rage in the data cage

15/10/2010

image Many of you will be familiar with our popular series of blog posts and White Paper on the Data Zoo which explores a number of generic behaviours people exhibit towards data.

This post explores the effects on data behaviours when people are put into different teams (cages).

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