What We Do »

Data Engineering

Your company has a lot of Big Data, but most of it is simply noise. To realize value from your Big Data, you must extract intelligence from it — efficiently and in a scalable way. We call this intelligence - critical descriptive and predictive pieces of information that enable better business decisions across hundreds of possible use cases

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Predictive Analysis

Businesses around the world are trying to predict customer behavior, optimize operational processes, identify and mitigate risks, reveal the most strategic course of action, and make game-changing decisions before the competition does. More Signals are currently in action, using data,and helping businesses generate real value.

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Basket Marketing

Is a modelling technique based on the theory that if you buy a certain group of items, you are more (or less) likely to buy another group of items. For example, people who buy shampoo might also buy conditioner. Knowing what your customers tend to buy together can help with marketing efforts.

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Anomaly Detection


The technique used to identify unusual patterns that do not conform to usual behavior . Every human and\or business has a pattern to follow. This starts from your favorite kitchen seat to your grocery shopping time and items. Most of our processes are co-related & grouped to each others; increase the sales should increase the commission paid, which should increase profit, and increase numbers of sold items; this example show how your processes are so co-related. Anomalies - also called outliers- is the process of identifying what is going outside a co-related group of actives. Anomalies can be in your financial transactions, HR,sales, marketing, IT up to fraud detection in credit card transactions, insurance claims, third party providers and fault detection in operating environments.


Anomaly in Buisness »


WE USE R™
R is an open source programming language and software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data scientists for developing statistical software and data analysis. Our solutions are build using R and its libraries and packages.
By using R we are providing our client with:

  • Best graphical interface to visualize the data and its results.
  • R outstanding performance on data analysis, data mining and cleansing. Solving computational statisticians equations.
  • Easy to integrate with any platform
  • Handling big datasets