Data Analytics

Here's a diagram explaining the four types of data analytics we encounter in data science: Descriptive, Diagnostic, Predictive and Prescriptive. #DataScience #DataAnalytics

Albert Einstein once said “If you can’t explain it simply, you don’t understand it well enough.” With this in mind, we challenged ourselves to

Here follows a very interesting infographic, produced by Online Business Degree all about big data.

A scorecard is a mathematical model that is used to predict a certain outcome. In credit this might be the probability of default. The information used in a scorecard can vary, but common fields include demographic characteristics and credit bureau data.

What is the true value of losing a customer?

Think Machine Learning is out of your reach? Think again, it's sitting in the palm of your hand in the form of your favorite mobile apps. #MachineLearning #DataScience #DataAnalytics #MobileApps

Here's a great visual overview of what you need to get started with a data-driven customer loyalty programme: the questions to ask before getting started and an overview of all the possible data sources to consider. #infographic #CustomerLoyalty #DataAnalytics

How machine learning can be applied to the holiday and business travel #MachineLearning #BigData

Will privacy fears undermine the future of #MachineLearning

Data analytics can help marketers reduce marketing costs while improving response rates to acquisition and retention campaigns. So, instead of targeting 100,000 contacts based simply on demographics and geography, marketers are now wising up and using data science to reduce that list to the 10,000 contacts with the most appealing profile who are most likely to respond to their campaign. #Marketing #BigData #DataAnalytics

As the pressure of intensifying competition mounts, retailers and restaurateurs are looking to reduce costs across the supply chain while boosting customer loyalty. And with consumer influence now stronger than ever, businesses that fail to respond to the demand for improved products and services will feel the impact on their sales figures. #DataAnalytics #RetailAnalytics

Machine Learning is placing Risk Managers on the front foot against Fraud #MachineLearning #Data Analytics #BigData

#MachineLearning is a subfield of #data science that involves the use of algorithms and computing systems capable of learning on their own from new data as it becomes available, identifying patterns and automatically adapting to predict or anticipate future outcomes with an increasing degree of accuracy. For #marketers, what this means is the ability to predict customer behaviour and make relevant and personalised offers on the fly to acquire, retain or grow your most profitable customers.

How predictive analytics platforms are delivering key insights to improving capacity management, more efficient operations and bigger profit margins.

While the concept of data science has been around for decades, the notion of a data scientist has become an in-demand career leading to a rise of a ne