Business Intelligence (BI) is a technology-driven process for analysing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions. BI encompasses a wide variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, dashboards and data visualizations to make the analytical results available to corporate decision makers as well as operational workers.
The potential benefits of business intelligence programs include accelerating and improving decision making; optimizing internal business processes; increasing operational efficiency; driving new revenues; and gaining competitive advantages over business rivals. BI systems can also help companies identify market trends and spot business problems that need to be addressed.
Meanwhile, data analytics is increasingly automated and has dramatically improved business-to-consumer (B2C) applications in numerous industries. Global organizations collect and analyze data associated with customers, business processes, market economics or practical experience. Data is categorized, stored and analyzed to study purchasing trends and patterns. Through this course, participants can learn the three building blocks which facilitate a strong analytics environment and also learn the potential impact of Big Data.
Key benefits of attending this workshop
By end of this course, delegates will be able to:
- LEARN how to make smarter analytics-based decisions; how to organize resources; how to lead quants; how to plan for analytics needs; how to identify new business analytics applications; and where you need to invest your efforts
- UNDERSTAND the Strategies and Tactics as they were developed by the previous generation of
- managers and quants
- IDENTIFY the Three Pillars of Best Statistical Practice, and three Building Blocks for supporting a strong business analytics environment
- LEARN how to measure your corporation’s Business Analytics Maturity
- LEARN the Tools for Analytics-Based Decision Making
Who Should Attend?
This seminar is specifically designed for:
- Business Professionals
- Business Analysts
- Data Analysts
- Research Analysts
- Finance Professionals
- Marketing and Sales Professionals
- HR Professionals
- IT Professionals
- Administrative Staff
- General Business Professionals
- Staff from any function who need to learn and apply state-of-the-art data analysis techniques to their daily business reporting and decision making
Why You Should Attend?
This workshop will share best practices for implementing business analytics within the corporation. These are the lessons learned from the last generation of quants selected from numerous corporations. Case studies will illustrate how these ideas work in practice. Group discussions will help attendees improve their leadership capabilities and identify opportunities for improving the application of business analytics.
This workshop will follow, “A Practitioner’s Guide To Business Analytics”, with occasional supplements. The book is a blue print for understanding how analytics works in the corporation; how to make analytics-based decisions; how to organize resources; how to lead quants; how to plan for analytics needs; how to identify new business analytics applications; and where you need to invest your efforts. A number of case studies will be covered, which illustrate the rationale behind the best practices. This guidance can help participants explain to their leadership and colleagues what their corporation needs to change to complete on business analytics and better leverage Big Data. Participants are encouraged to bring their problems, their org charts, their plans for discussion after, or in some cases, during the workshops.
Participants can learn Business Analytics based Decision Making by using proper tools and also participate in group discussion that helps in applying the tools to solve problems.