StraitSys has developed a robust capability around Big Data Analytics to uncover hidden patterns, unknown correlations, and other useful information that can help organizations make informed decisions. Big Data Analytics includes:
Big Data Visualization – We leverage state-of-the-art data visualization technologies as well as advanced data grid tools to provide analysts with rich analytical and visualization tools and quickly develop data visualization dashboards that allow analysts to visually explore new and diverse datasets without writing any code or queries.
Data Engineering – We create a data ingest process that encompasses both a raw data load into Hadoop HDFS as well as Extract, Transform, Load (ETL) transformation processes to format incoming data and load it into searchable indices. We perform data modeling to help inform ETL decisions as well as improve search performance and further enhance data usage/understanding by both enriching data fields taken from other data sources as well as performing lookups against static data and through a collaborative development process to ensure proper analytic processing and data visualization. We leverage entity resolution technologies to disambiguate records that correspond to real world entities across and within datasets.
Data Science – We develop and apply algorithms to build data models to perform statistical analysis, machine learning and recursive analysis to prepare triggers and analytics to present through Big Data Analytics