Big Data Analytics

Emprata’s Data Scientists can help you uncover hidden patterns, unknown correlations, market trends, and other useful information in your data.

Uncover Hidden Insights

Through the use of Big Data Analytics, large data sets are examined in order to uncover insights. Through this examination we pinpoint what’s relevant, and use that information to assess likely outcomes, which can accelerate the pace of making informed decisions. Big Data Analytics can create extraordinary opportunities for businesses to strengthen their decision making – providing them with a competitive advantage. These opportunities are realized when an organization’s data is harnessed to promote more efficient operations and higher profits.

Capabilities

Emprata’s Data Scientists and Technologists have expertise in many distributed data processing frameworks, infrastructure environments/configurations, and are skilled in many analytic disciplines. Our team uses both open-source and commercial products, depending on the problem and the needs of our clients.

Applications of Big Data Analytics

  • Drug Discovery: Revealing important factors in treatment
  • Fraud Detection: Identifying cases of consumer fraud
  • Credit Scoring: Ranking credit card applicants based on risk
  • Social Media: Recommending products based on keywords and trends
  • Healthcare: Identifying lifesaving diagnoses and treatment options immediately
  • Law Enforcement Agencies: Provide holistic view of criminal activities in an effort to keep crime rates down

Our Areas of Specialization

  • Data Mining: Examining large amounts of data to discover patterns and correlations in the data.
  • Predictive Analytics: Using various techniques to analyze current data in order to make predictions about future outcomes.
  • Statistical Analysis: Using univariate and multivariate analysis to make inferences, test hypotheses, and summarize data.
  • Natural Language Processing (NLP): Processing unstructured and semi-structured documents
  • Data Management: Applying tools and techniques to collect, transform, process, and store both structured and unstructured data.
Clients
  • Large Business Lending Bank
  • Federal Communications Commission (FCC)
  • Consumer Financial Protection Bureau (CFPB)
  • Food and Drug Administration (FDA)
  • US Dept. of Navy – Bureau of Medicine and Surgery (BUMED)
  • Level 3 Communications
Analytic Techniques
  • Summarization
  • Machine learning
  • Time series/Forecasting
  • Anomaly detection
  • Factor Analysis
  • Principal component analysis
Analytic Tools
  • SAS
  • R
  • Stata
  • Mathematica
  • Python
  • Matlab
Data Management Tools
  • Hadoop
  • NoSQL (MongoDB)
  • Amazon Cloud
  • Spark
  • PostgreSQL, Oracle
  • Informatica, Talend