ACE 2017  Keynote Addresses: Prof. Mark S. Anderson, University of California, USA Prof. Stephen Foster, University of New South Wales, Australia Prof. Tommy Chan, Queensland University of Technology, Australia Prof. Mark Burry, University of Melbourne, Australia Prof. Peter Anderson, California College of the Arts, USA.

Business Analytics for Product Sales & Marketing Executives

Introduction and Overview

Business Analytics is the emerging and fastest growing technology which every organization is embracing. As per Gartner’s prediction by 2014, 30 percent of analytic applications will use proactive, predictive and forecasting capabilities, and the software market for business intelligence, analytics and corporate performance management grew by 13.4% in 2010 to $10.5 billion and would continue to grow.

This course is specially designed to address the emerging demand of product sales and marketing expertise in business analytics. This course covers the concept of business analytics and its strategic importance to any organization. The course deals with basic principles, concepts and tools used in business analytics landscape which includes data mining, data warehouse, business intelligence and business analytics.

In addition, this course covers different types of business analytics with real life use cases including text analytics and web analytics that they can make use for different kinds of applications in various business sectors.

Targeted Audience

  • Sales Personals
  • Sales Managers
  • Marketing Personals
  • Marketing Team Leads
  • Marketing Managers
  • Marketing Heads

Pre-requisites

NA

Course Outcomes

  • An understanding of the Business Analytics and its impact on enterprises
  • Understand the data/information architecture from business analytics perspective
  • Understand the role of data in analytics
  • Understand the data mining methodology, techniques and tools
  • Learn the different tools and vendors in business analytics portfolio to better promote big data product sales and marketing

Course Outline

  • Understand the concept of Business Analytics
  • Why it is important and of great value to any organization
  • Main motivation behind the evolution of Business Analytics
  • Various type of analytics
    • Descriptive Analytics
    • Predictive Analytics
    • Prescriptive Analytics
  • Text Analytics and Web Analytics
  • Understand the use of various analytics methods
  • Understand the application usage of each one
  • Understand the Data/Information Architecture of any organization
  • Data Warehouse Vendors
  • Business Intelligence Vendors
  • Understand the complete picture of how analytics will be applied in any organization
  • Understand the use and applicability of Data Mining
  • Data Mining Vendors

GSTF Authorized Training Partners:

Singapore

GSTF, Global Science & Technology Forum, ATP, Authorised Training Partners, Dr Anton Ravindran, Anton Ravindran, IOT, Cloud Computing, Big Data, Data Science, Business Analytics, ICT Training, ICT Certifications, Academic Conference, CFP, Call For Papers, Singapore Conference, Architecture Conference, Nursing Conference, Healthcare Conference

RapidStart Pte Ltd
www.rapidstart.com.sg

India

GSTF, Global Science & Technology Forum, ATP, Authorised Training Partners, Dr Anton Ravindran, Anton Ravindran, IOT, Cloud Computing, Big Data, Data Science, Business Analytics, ICT Training, ICT Certifications, Academic Conference, CFP, Call For Papers, Singapore Conference, Architecture Conference, Nursing Conference, Healthcare Conference

HCL Infosystems
www.hclinfosystems.in

For Partnership enquiries, please contact partners@globalstf.org