Advanced Analytics

In addition to the traditional business intelligence (BI) techniques, Daskin Data Science and Analytics can apply more technical methods and tools to develop deeper insights from your data to support analysis and recommendations. If you are having difficulty in extracting and analyzing the information you need, advanced data analysis techniques can contribute to data-driven actions, such as:

For Daskin Data Science and Analytics, data science is an interdisciplinary field of scientific methods, processes, algorithms and systems to extract knowledge or insights from data and big data in various forms, either structured or unstructured. Data Science is a field that encompasses anything related to data cleansing, preparation, modeling and analysis. Data Science is an umbrella term for techniques used when trying to extract insights and information from data.

Daskin Data Science and Analytics has experience in advanced analytic techniques which include but not limited to data/text mining, machine learning, pattern matching, forecasting, visualization, semantic analysis, sentiment analysis, network and cluster analysis, regression analysis, multivariate statistics, graph analysis, simulation, complex event processing and neural networks in any analytics platform of choice.