Angoss Blog

Angoss Analytics Delivers Intuitive Big Data Mining Solutions

Data Prep, no shortcuts to good Modelling

Published March 22, 2017.

Data Preparation is the backbone of any analysis and many varied data preparation procedures are available to access and shape data into an appropriate representation for modelling or reporting. Data Preparation is, as those who are involved will attest, a time consuming task. An array of figures have been quoted to reflect the proportion of […]

Optimization: Moving from Insight to Actionable Foresight

Published March 14, 2017.

You’ve probably seen this chart or one like it recently: Most organizations are finding their analytics efforts are somewhere between descriptive and predictive, few have been able to effectively move from only predictive to prescriptive and rely on rules of thumb or gut feel to apply analytic learnings. Many of those who’ve effectively moved into […]

As demand for data science platforms increases, Angoss positions a “Leader” in the 2017 Forrester Wave for Predictive Analytics and Machine Learning Solutions (PAML)

Published March 8, 2017.

In today’s high-speed commercialized market, organizations with similar goals in areas of: profitability, growth, customer service, retention, and so on, compete to secure a successful future. A vast majority of these conglomerates have instinctively determined that data is one of their most precious assets. In fact, it is generalized that data accumulation helps to infer […]

Bankruptcy Scores

Published March 1, 2017.

Most of us have heard about risk scores whether we are seeking to rent a property or applying for a loan. A risk score measures the likelihood of a customer defaulting within a certain time frame. It acts as a tool to help in understanding someone’s probability of missing payments and eventually ending up in […]

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 […]