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Tag: Data Analytics

June 30, 2020
5 common data project challenges and how to avoid them

Any data project is filled with challenges; solving these problems or avoiding them altogether is the key to success. Narrowing this list down to just five was a challenge in itself! Challenge 1: My data is getting too complicated Our

March 9, 2020
Evolution not Revolution – An Agile Approach to Analytics

A commonly quoted adage in technology consulting is that “the last 20% of the work takes 80% of the time”. A report that will be used by a wide audience will often be designed by one or two key individuals

February 28, 2020
How will IR35 impact your data project – and what can you do about it?

There are many things to consider when running a major data project. Weighing up the long term benefits over sometimes considerable short term expenditure can cause project managers sleepless nights. But come April 2020, many businesses will be asking themselves whether they

February 12, 2020
5 things to do before starting a data project

You’re about to start a big data project. Fantastic! We’re big believers in the fact that every business can gain a real competitive advantage through analysing their data. It’s why we do what we do.  But just before you go running off

February 12, 2020
How to get buy-in for your data project

Despite the talk of a data driven revolution, the reality for many companies often lags someway behind the ideal of a business built on reliable detailed information analysed using AI. According to a Mckinsey Digital report on leadership and analytics, CEOs cite their biggest

January 17, 2020
Modern Data Warehouse – Snowflake & Fivetran

https://www.slideshare.net/DavidRice76/modern-data-warehouse-presentation

AI, Machine Learning
January 17, 2020
Why AI is a lot like teenage sex – and how you can get better at it

In 2013 Dan Ariely, professor of behavioural economics at Duke University, got the analytics world all aquiver when he stated: “Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone