BUSINESS DATA ANALYTICS AND MANAGEMENT TRAINING AND WORKSHOP ( 5 DAYS )

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Vijayanagar, Bangalore

Course ID: 23779

Vijayanagar, Bangalore

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Date and Time

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About Ramananda M.S Rao

Founder and director Collaboration Technologies. Software development and consulting more than 18 years. Worked on web based projects and technologies. Intensive practical knowledge on web design, javaj2ee/perl/shell/python/databases.

100% Practical Training and projects.
Placement assistance provided for good candidates.
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About the Course

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

Topics Covered

Enterprise Information Management
Enterprise Content Management (ECM)
RDBMS, Data mining & Data Warehouse
Business Intelligence and Decision Making
Data Modeling
Business Analytics
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

Who should attend

Database developers, DBAs, architects, and data quality analysts.
Business analysts, including application developers, systems analysts, business managers involved in solution development
Participants with -
• Positive, people-oriented, and energetic attitude
• Analytical, creative, and innovative approach to solving problems
• Strong written and verbal communication
• Entrepreneurial spirit

Pre-requisites

Any Degree including BE, MCA, BBM, economics and MBA.
Basic computer operation.

What you need to bring

Nothing

Key Takeaways

Course material
Use of Analytical Tools
Business Operation and communication

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