Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.
The word optimisation is used quite loosely and can relate to many different areas. For example, there is search engine optimisation (getting your website pages to the top of online search results), process optimisation (making existing processes more efficient), code optimisation (making your code run more efficiently) and then there is mathematical optimisation. In this blog post, we'll be focusing on mathematical optimisation: what it is, how it can be applied in making more optimal business decisions at a customer level, and specifically how it's applied in credit risk. And you can even try using optimisation yourself - using an optimisation tool we've shared in this post - to see the various scenarios resulting from your decisions. Scroll to the bottom to try it for yourself!
A while back we published what we thought was a very informative blog post on the 4 types of data analytics. Our friends at KDnuggets - the industry's leading knowledge portal on Data Analytics and Machine Learning - re-posted our piece on their site last week and - lo and behold - it became the most read and most shared post on their site that week - over 2,300 reads and 8,500 shares on social media in less than a week. So, in case you missed it the first time we published it, read our post on the 4 Types of Data Analytics and see what everyone is tweeting about.