Business Intelligence and Analytics for Financial Planning Professionals

Business Intelligence and Analytics for Financial Planning Professionals examines the changing part of Finance organizations and move of the focal point of Finance practitioners in general and Financial planners in particular from that of traditional gatekeeper to that of key leaders charged with strategic performance optimization.

Therefore the are relied upon to partner with the business to enhance profitability and advance the utilization of business assets. One of the apparatuses which makes this conceivable regarding the breadth of commitment and the level of yield is the utilization of business intelligence and analytics devices. 

Main Topics covered:

• Data Warehousing 
• Data mining 
• Visualization 
• Business Intelligence (BI) 
• Data analytics 
• Big Data 
• Data Fusion 

Course Outline / Modules:
BI and Analytics for Financial Planning and Analysis

• Fundamentals of Financial Planning and Analysis (FP&A) 
• Financial Planning 101 
• Key Activities 
• Planning, forecasting and budgeting 
• Controlling, variance analysis and scenario analysis 
• Communicating goals and results 
• Decision analysis and support 
• Techniques and Processes 
• Key decision-makers 
• Tools to optimize strategic performance, resource utilization, and profitability 
• Powerful tools for business intelligence (BI) 
• Data Analytics 
• Predictive Analysis 
• Visualization techniques 
• Data Fusion techniques 

Typical Business Intelligence (BI) Applications:

• Business trends, events and performance results 
• Underlying drivers of business events, trends and performance results, Reports 
• Standard, pre-formatted information 
• Analysis of Multi-dimensional analyses 
• Fully-automate information slicing and dicing for analysis 
• Scorecards and dashboards 
• Rapid evaluation of business trends, events, and performance results, Advanced analytics 
• Automated applications 
• Predictive analytics 
• Role of Big Data 
• Automated Applications 
• Historical business information 
• Descriptive statistics 
• To predict or simulate future business financial outcomes 
• Alerts, Automated financial process control applications 
• Performance variables 
• Defined KPIs and performance thresholds 

Data Mining and Analytics Applied to Financial:

• Analytics, predictive modeling and data mining in the finance 
• Customer analytics 
• Data analytics 
• Model training 
• Testing, verification and evaluation 
• Decision tables and trees 
• Classification and Association rules 
• Bayesian and Ensemble learning 
• Numeric prediction 
• Clustering of Data 
• Artificial neural networks 

Learn business intelligence step by step.

Business Intelligence and Analytics for Financial Planning Professionals