So, having taken a look through the physical and logical RPD layers of OACS. Now lets move onto the presentation layer. Many people see the presentation layer as a simple ‘this is what the customer sees’ non-entity that has to be produced, however […]
In part one, we discussed best practices for the OACS RPD Physical Layer. In this section we assume that your physical layer is complete and you have moved onto the OACS RPD Logical Layer. RPD Logical Layer Best Practices Logical Joins Apply one-to-many logical joins between […]
It’s an early start and a fairly solid commute for me to a client site in Winchester, so I thought I’d open up the new blog by talking about something fairly common across the industry. Let’s look at OACS best practices. I’ll […]
Why Predict Customer Churn? This is a big one for organisations everywhere and one of the main areas in which we see high adoption rate of machine learning, this is probably down to the fact that we are predicting customer […]
What is a Sentiment Analyser? Want to know how a product owner can find out heaps on insight about how their products are received by customers, without having to read millions of articles and reviews? A Sentiment Analyser is the […]
So we’ve arrived, seemingly at the end of our journey. I wouldn’t be ready to pull the rip-cord just yet. We still need to get the customer to agree that our model is fit for purpose, and present our results […]
Not all Models are Created Equal… On to the fancy part of the Data Science process. This is what Data Scientists are renowned for: producing a model that takes data, performs some magic, then spits out the correct answer – […]
This is the 3rd post in the Data Science Process Series. Now we have taken a look at the process holistically, performed the necessary, planning, agreed the architecture and defined the problem from both a business ‘human’ and analytical ‘techy’ […]
Post Two in the Data Science Process series looks into the below areas, highlighted in green. Lets Recap: Define Business Problem Here we work closely with business subject matter experts to understand the business problem. What is the issue? What […]
I feel the urge to throw my two-cents in regarding the data science process. There are plenty of competing opinions circulating the industry regarding how we do what we do. I have spent (probably too much) time researching the Data […]