Analytics is similar to consulting, your customers (internal/external) will tell you what they want. All the things that they see as important and urgent. Our job as Analytics professionals is to work with them on exploring their wants till we get them to realise what they really need.We have to ask the right questions, challenge … Continue reading So What?
Reflecting on projects helps us understand and grow. We look back and learn what went really well as well as what we could have done better. If we don’t recognise what went well we might stop doing it, it is as important as looking for improvements. analyticsdrivenstrategy #reflectonwork #reflectonprojects #thinkbeyond #growth #thinkopportunities #recognisewhatwentwell #fatemaelwakeel
https://www.youtube.com/watch?v=J9BQX6BK-nw Data Analytics projects are normally run using Agile Methodology. You will hear terms like Sprints, Scrums, Product Owners and more. It can be overwhelming when you start. In this IMA podcast, I talk about the benefits of Agile and cover the basic terms to better understand how the methodology works. This episode also covers … Continue reading What is Agile Methodology?
Image by Gerd Altmann from Pixabay In a lot of presentations, meetings or even conferences we get the terms data, information and insights used interchangeably by the business. In this blog I just thought to shed the light on each of those terms: Data: This is the raw data that the business captures or maybe … Continue reading What is the difference between Data, Information and Insights?
Photo by JTMultimidia from Pexels Problem structuring a Data Analytics project is really critical for a project's success. Understanding where your project is in terms of complexity and its importance, helps estimate the time and effort needed for the project. In a nutshell, the time you put into a project depends on both Importance of the project (Strategic/Financial … Continue reading How do you assess the complexity of a Data Analytics project?