You are currently viewing Our Data Analytics And Cloud Blog Roundup Of 2019

Our Data Analytics And Cloud Blog Roundup Of 2019

As a data analytics company, we write about data analytics frequently: but less so on the cloud. However, as software product experts, one of our blogs on a cloud-related topic was so popular this year, we would feel terrible if you were to miss it, and so have decided to add together our data analytics and cloud topics together in this roundup.

The blogs included here, cover frequently used analytical concepts, helpful list and insightful opinion pieces.

Here are our most popular Data Analytics (and 1 cloud) blogs:

Eight question on the Gini Coefficient

Whether you’ve been involved in introducing models into your business or have had a passing interest in economic affairs, you may have come across the term “Gini-coefficient”. This blog hopes to demystify the concept and give you a good deal of information on the statistical measurement. We answer:

  1. What is the Gini coefficient?
  2. How is it applied in economics?
  3. How did it come about?
  4. What does the Gini mean with reference to a scorecard?
  5. Is it a good measure of a scorecard’s strength?
  6. What other scorecard performance measurements are there?
  7. What is a good Gini?
  8. How is a Gini calculated?

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Mathematical optimisation in five phases

For businesses wishing to improve their credit decisions, the adoption of Mathematical Optimisation is an important consideration. Mathematical optimisation is more than a straight data-driven strategy design as it incorporates prescriptive analytics… Read more

Top 5 LinkedIn groups to join on data analytics

With LinkedIn usage growing by two new members every second, you simply can’t afford to not be on the platform. Founded in 2003, LinkedIn has 590 million users with 260 million of those active every month.

We at Principa are very active on LinkedIn, sharing our blogs and industry news. If you’d like to view our LinkedIn page, click here.

This month, we list our top 5 LinkedIn groups on our favourite topic: data analytics… Read more

Amazon Web Services vs Microsoft Azure: Which cloud provider should you host your core business systems on?

Deciding on which cloud service to host your core business systems on can be a daunting task. Amazon Web Services (AWS) and Microsoft Azure are two of the biggest players around, while Google Cloud and IBM Cloud are also gaining market-share.

In this blog, we compare the two juggernauts of cloud computing, AWS and Azure, to help you in choosing the provider that’s right for hosting your business systems. A “winner” can’t be selected between the one or the other, rather we highlight the main pros and cons that will help you decide which service will cater to your organisation’s needs… Read more

Why the human mind is flawed at making credit decisions

For a while, we have been running a blog series on cognitive biases and logical fallacies that data scientists should avoid. In philosophy there are a host of informal logical fallacies – essentially errors in thinking – that crop up every day. In this series we have looked at the practice of data science to determine how these same fallacies also occur.

Today we will be looking at fallacies and their manifestation in credit: The Monte-Carlo fallacy and the Hot-hand fallacy with some studies in the credit world.

The first is the Monte-Carlo fallacy (also known as “gambler’s fallacy” or “fallacy of the maturity of chance”)… Read more

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