Big Data analytics is at the forefront of business imperatives in many important customer-oriented retail industries, including communications, banking and insurance, retail, and consumer goods. The term Big Data refers not only to the volume of data, but also to its complexity. Companies struggle not only with a large amount of data, but with its diversity as well.
Our experts have extensive experience in various deployments of Big Data analytics solutions. We provide our clients with all services required for the successful preparation, design, development and implementation of systems to analyse and process large amounts of data based on standard platforms. Our unique Big Data Readiness Assessment service package, based on internally developed Information in Action methodology, will help you quickly and effectively move in the right direction by identifying the optimal architecture and case studies applicable to your business processes and implementation technologies, as well as identifying models that can enable you to discover and use the hidden value of your data.
Big Data technology is used to collect, process, and analyse large amounts of data – big in the scope, complexity, and speed with which it is generated. Along with structured, partially structured, and unstructured data, it is becoming clear that companies are no longer only dealing with large amounts of data, but with diverse types of data as well. Data is generated very rapidly and collected at various intervals, which makes it valuable, but also makes it more complex and more difficult to analyse.
We offer Big Data technologies that can help you make the right decisions quickly and that enable you to utilise a previously untapped wealth of data. Our experts have extensive experience with various deployments of Big Data analytical solutions – from flow management, collection, and processing of data using standard Apache services, data integration and transformation powered by Informatica Big Data Edition or other data integration platforms, Massive Parallel Processing technologies such as HP Vertica, columnar and in-memory databases like Cloudera Impala, to semantic analysis with tools like R, IBM SPSS, and KNIME, and data visualisation using Tableau and various other front-end solutions. We provide all the services necessary to successfully prepare, design, develop, and implement systems to analyse and process large amounts of data based on standard platforms.