Ghost Spin (Spin Trilogy, Book 3)
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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.
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 […]

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Classification using higher order interactions: a hybrid approach

Classification using higher order interactions: a hybrid approach

Posted by on Jul 7, 2017 in Case Studies, Insights | Darth Paper Strikes Back (Origami Yoda, Book 2)

For representation in this blog, we have considered German credit data for classification of good and bad credit risk using the interaction of the input variables through a hybrid approach. In this approach, first we developed a decision tree for identifying the significant interactions of the input variables and then, a feed forward neural network  […]

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