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Angoss Analytics Delivers Intuitive Big Data Mining Solutions

Variable Reduction Best Practices

Published February 21, 2017.

Nowadays, in the data mining world, having too much data has become a more prevailing problem than not having enough. Building a predictive model on all available variables can be a time consuming task, one that will take a long time to compute and becomes less robust and harder to interpret. So, what can we […]

Statistical Power

Published February 14, 2017.

Introduction What is statistical power? Sometimes called the sensitivity of a hypothesis test, statistical power describes the ability for a statistical test to identify whether the effect it is trying to find or measure exists or not. If you’re wondering how a test designed to measure a statistical effect might be unable to measure that […]

Data science platforms need to adapt to trends in enterprise IT

Published February 1, 2017.

From simple technologies like emails to sophisticated ones like ERP platforms, the transformation in enterprise IT is undeniable. There are several consistent trends within enterprise IT that would directly impact data scientists. These changes are fairly consistent across industries, which would require data scientists to closely examine their data science platform of choice. Here are […]

From Insights to Actionables

Published January 25, 2017.

Today’s businesses are faced with surmounting pressure not only to appeal to the right audience but also to achieve maximum results with minimum loss under tough constraints. Knowing which customers to target is just half the battle, the other half is balancing internal business affairs such as goals, constraints, or budgets. Sometimes predictive models are […]

Making Big Data manageable, valuable and actionable with advanced analytics!

Published January 18, 2017.

The majority of innovative and large organizations are looking for ways to expand their advanced analytics capabilities to ensure that value can be derived from vast amounts of stored customer data. So how can companies achieve this with ease? Businesses that rely on a large data set framework, like Hadoop, for distributed storage and processing, […]

Why are Decision Trees so popular?

Published January 5, 2017.

For many years Decision Trees have been a popular modelling approach amongst Data Scientists and Analysts due to their visual nature, ease of use and understanding, lack of data assumptions and simple deployment. If model explanation is key, explaining a visual, rules-based tree to senior managers is far easier than explaining complex neural networks or […]