Advanced Analytics allows the organization to expand beyond traditional analytics, can be build over both, structured and unstructured data as truly intelligent solution that suggests relationships, identifies patterns, suggests visualization techniques and formats, highlights trends and patterns, and presents predictions.
We handle your data by building system that integrates within your existing data sources, to collect required information and reorganize it in a right manner. In general, we analyize data from various sources such as SQL database, data warehouse as well as from unstructured data from web, devices spreadsheets or other data sources. In order to make the maximum use of data we built Analytical Dashboards and KPIs, in spreadsheets as in cloud based technologies by using complex Excel modeling and Pyton programming.
Moreover, it is used to discover deeper insights, make predictions, generate recommendations and support decision making. Advanced analytic techniques include those such as data/text mining, Machine Learning, pattern matching, forecasting, visualization, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing, neural networks.