Technological innovations continue to increase the types and amount of data businesses collect and analyze Organizations need to develop the know-how to aggregate, analyze, and most importantly monetize the growing surge of available data. Business success depends on meeting big data challenges, while continually improving operational efficiency. Business analytics refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.

Business analytics makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling and fact-based management to drive decision making. Enterprise Information Management (EIM) - Apply methods, techniques & technologies that address data architecture, extraction, transformation, movement, storage, integration and governance of data. Develop Business Intelligence and/or Performance Management reporting solutions for clients using reporting tools to translate business and IT requirements into process or technical solutions (i.e. forecasts/plans/metrics) and improve insight/decision-making for clients to gain a competitive advantage. Require strong fundamental understanding of components of Business Analytics and Optimization; including business intelligence applications related to data environments, reporting capabilities, performance management, and analytics

Tools and Technologies - Oracle Databae. SQL, INFORMATICA POWER CENTER, QILICKVIEW, R LANGAUGE , HADOOP CASSADRA

Topics Covered

Enterprise Information Management, Enterprise Content Management (ECM), RDBMS, Data mining & Data Warehouse, Business Intelligence and Decision Making, Data Modeling, Business Analytics, Google Analytics,SEO,SMO,SMM, Analytic Techniques, Segment or Domain Analysis, Software Tool for Analytics, Data Visualization & Reporting Tools, Process Optimization, Data Quality Management, Business Forecasting, Marketing & communication, Case study and Project