Big data involves study of applications data sets that are too complex for traditional data-processing application software to adequately deal with. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

Modern usage of the term "big data" tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set.

With the automation of most industries, a lot of information is being captured by various players in Financial Services, Retail, Transit, Petro, Hospitality, Events, Sports, Social Networking (Facebook, Twitter, Linked In) segments.

The information is also available from legacy systems, software packages such as ERP, CRM, SCM and other customer applications.

The analysis of such information by the various players is now proving valuable to drive further innovation and offering more targeted services to businesses or individuals.

Our team has expertise in extraction of the data, data analysis, design, data modeling, data warehousing, build dynamic dashboards and reports using different technology tools based on the specific requirements of different industries and make the required information available to management, business, operational teams and end customers.

Our team helps Services, Product, Research companies through this service, to get access to data including on Financial Services, Retailing, Manufacturing and SCM.

Data mining of existing data, analysis, tracking and storing of the information will be managed by our team and the output information will be made available to companies or in 3rd party environments such as Social Networks.

Our Technology team uses ETL tools, Informatica, Java, Scripting languages, Shell, Python, Pearl on Windows and Linux platform in conjunction with other products to filter the data required for the customer, partners and distributors.

Other entities that could be integrated include software packages like SAP, Cognos, BI, Baan, Siebel, other Logistic, Distribution Software products besides eCommerce and mCommerce products and interfacing with which the data is delivered through various channels such as the Web, Mobile, Tablets and other Web Devices.

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