The ultimate aim of Data Science is about extracting knowledge and solving business problems through analytical engineering by designing analytical solutions using data engineering and, mathematical algorithms and visualization tools.
sLogicAnalyser comprises of state-of- the-art ready-to- use advanced algorithms
for component analysis, data search and classification of massive datasets. It
consists of many modules based on supervised learning and unsupervised learning
methods, statistical and non-statistical algorithms, and graph theoretical methods.
In addition to the well-defined datasets, our product can handle incomplete and
partially connected datasets for analysis.
At Statologic, we believe in letting the business drive technology adoption
and our sLogicEngine exemplifies that. The engine is crucial first step to
understand the data. It provides an agile, high performance, and scalable
platform to deliver consistent data services over rich set of APIs. It can easily
ingest and integrate data from wide varied of sources at varied intervals.