Big Data Analytics can create extraordinary opportunities for businesses to strengthen their decision making – providing them with competitive advantages over rival organizations. By analyzing huge volumes of data that may be left untapped due to its sheer volume or a lack of resources with analytical skills, data analytics can result in business benefits such as more effective marketing and increased revenue.
Applications of Big Data Analytics include:
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Drug Discovery – Revealing important factors in treatment
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Fraud Detection – Identifying cases of consumer fraud
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Credit Scoring – Ranking credit card applicants based on risk
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Keywords/Social Media – Recommending products based on keywords and trends
Using a variety of tools and techniques, our Data Scientists can help you uncover hidden patterns, unknown correlations, and other useful information in your data.
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Capabilities
Emprata’s Data Scientists have expertise in many distributed data processing frameworks and are skilled in many analytic disciplines including predictive analytics and data mining. Our team use both open-source and commercial products, depending on the needs and desires of our clients.
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Data Processing Frameworks
Our Data Scientists are equipped with the necessary tools and techniques to work with both structured and unstructured data. To work with big data, Emprata uses the Amazon Cloud, NoSQL databases, Hadoop, and MapReduce, among others. These technologies provide us with an open source software framework that supports our processing of large data sets across clustered systems. Emprata is also well-versed in commercial solutions including Greenplum.
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Analytic Platforms
In terms of analytics capabilities, Emprata has experience with such methods as Regression Analysis, Forecasting, Time Series Analysis, Decision Trees, Neural Networks, and Clustering, among others. We typically use software such as R, SAS, S-PLUS, H2O, and Stata to conduct analysis of data.
