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All too often companies have only the vaguest idea about what kind of data they’re holding; because such data is very often hidden deeply away in a variety of databases and fragmented across different departments. We identify this data and bring it to light, making it visible, cohesive, comparable and easy to understand so that it really does support YOU in making the right decisions. And if need be, we can also identify any lacking data and define a concept to fill in the gap.
Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Insightful and effective: “Deep Learning Specialization” by Andrew Ng on Coursera

Not enough can be said about the contribution of Coursera and Andrew Ng to machine learning education. The very beginning of Coursera was with a machine learning MOOC in 2012, and this was, as far as I can tell, the first time machine learning education was made available freely and publicly. Such was the excitement […]

Assessing market demand using Neural Networks

Assessing market demand using Neural Networks

Posted by on Jan 29, 2018 in Case Studies | No Comments

Objective The objective was to assess and forecast demand for a retail outlet, using Neural Networks. Approach In order to conduct the analytics, we applied the concept of Multi-Layer Perceptron (MLP) in Neural Networks which can classify and predict the patterns accurately. The inherently non-linear structure of neural networks is particularly useful for capturing the […]

America in the World: A History in Documents from the War with Spain to the War on Terror

Understanding the factors that make a brand a ‘favourite brand’

Client: A global fast food restaurant chain Objective The client intended to find the performance attributes driving the “Favourite brand” of the category where the population is more heterogeneous. Approach Since the population was heterogeneous in nature, merely aggregating the data and deriving the set of drivers (factors driving the brand’s success) would not have […]