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Discover the laws of your Data
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Quantified Decision Making
In today’s competitive business environment where data is an important asset in decision making, it is imperative for the organizations to fully utilize the potential of the business data getting generated. In order to unearth the data insights sometimes dashboards and reports are not enough.
You need various statistical algorithms and Machine Learning Algorithms to dig out the patterns which our human mind can’t infer just by looking at reports. Our service offerings have depth of experience coming out of our experience working with various customers and in-house Research and Development.
Neewee Analytics has an open source software based dynamic and flexible platform ATHENA which caters to all your advanced analytics needs. It can drastically reduce your implementation time and can smoothly integrate with your Analytics IT landscape. Know more about ATHENA.
The set of Algorithms used are primarily used to understand the data better. Clustering is one of the examples
Algorithms in this class provide recommendations for certain types of business problems. One of the popular examples is Market Basket Analysis
Algorithms in these categories use probability basics to predict the outcomes. Examples can be predictions of a failure of a machine or churn of a customer
These algorithms are typically employed for complex business problems. Examples are classification using Artificial Neural Network
Unstructured Text Analytics
NLP based text analytics algorithms are used to cleanse as well as derive out sentiments from business artifacts
Analytics in specialized areas such as GIS, Image Processing and Sound to Text