Now let me give you a puzzle to solve. By the way there’s no right or wrong answer to this, but please keep sending them in. The case study. Five monkeys were thrown in a cage with a banana on a shelf in the centre. Each time a monkey approached the banana all the monkeys … Read more
Previously: Why you need to pay attention to customer experience What to watch out for when researching and testing journeys 1. Last Click can be a costly mistake The customer journey does not begin with the last click before they visited your ecommerce site. No assumption could be more damaging than this one. You need … Read more
Don’t let this reference to red tape fool you. It is mission critical to understand the difference between vital process and red tape and it’s not always immediately obvious.
The key to cost cutting in any area is knowing what to cut. The word we are after is waste, but even that can be misleading. In the world of Lean everything outside of the critical value adding moment is deemed to be waste, but nobody imagines that you can eliminate most of it let alone all.
A shock for the project manager
In the last instalment we discussed the way in which a vendor had been chosen that near total disregard for the goals of the project in the course of making that decision. Now we will look at what happened after the decision was made.
The problem with C Image via WikipediaOTS purchases and traditional testing methods is just that.
Well, it’s just that the methods were designed for a world where teams of engineers spent months writing code and then began to stabilise it and introduce it slowly into the business environment until it was a stable release and a good match for the tightly defined requirements. At least that was the theory,
Why Business analysts, Product Owners, negotiators, political reformers, scientists and many others are doomed to repeat the same mistakes until they drown in in their failures. Most people in a work situation, and indeed in most situations, live in a consciousness that is deliberately falsified to reflect (a) what they believe is expected of them … Read more
Before you even consider communication with any audience from one person to 100 million people, you need to first gain their respect and trust. If you don’t, why should they listen to you.
Just like you they are bombarded with messages all day every day and they only have time to listen to a choice few that come from trusted sources , that gain their attention and arouse their interest.
If you began with a vague idea and kept changing things in the hope that you would eventually end up knowing what you wanted, then success is about as easy to find as the end of a rainbow.
1. The organisation and the individuals that comprise it are different issues 2. Changing attitudes is achieved one by one, changed behaviour is a group activity 3. The change agent is not leading or driving but acting as a catalyst and facilitator 4. The change agent and his peers must be united in rationale and in mutual support Silos, … Read more
HR and recruitment seem to be careering towards a slow-motion train wreck, where is the brake pedal? And what happened to the windscreen? Approximately 10% of the global payroll is squandered on recruitment and HR with not the slightest hint of a measurement to suggest that it returns anything at all. That’s enough money … Read more
If you have read my stuff in the past, you will have heard me talk at times abut the importance of analysing and managing the impact of organisational behaviour in order to make changes happen effectively or indeed to make them happen at all. Even the most complex technical systems I ever rolled out in … Read more
Sometimes it is not just what you do but the order in which you do it that matters. You absolutely must develop an ability to see several layers of consequences ahead of the solution as well as several layers of cause and effect behind the problem and then juggle them at once in the way … Read more
The background is a Must-Read. Big data was announced to me in 2011 when I was busy trying to create some insight from more than 100 acquisitions of a global publisher. Back then it meant Hadoop, Nosql and instant processing as opposed to Data Warehouses, Data Marts and BI services. By 2013 the word Data … Read more
Deep learning is first of all a buzzword. That means it may not have a precise and widely accepted meaning. It is a form or use of artificial intelligence as is machine learning from which deep learning evolved. OK we started with out with simple stuff like Data mining this became more sophisticated a section … Read more
Data mining is a buzzword. What it describes is really a form of Machine learning and there is no definitive border between one of these many overlapping disciplines and another, so the takeaway is not to get too worried about it and ignore anyone who does unless they are your boss or paying very well. … Read more