Course description
Technology is your most powerful ally in today’s highly competitive financial services market. Whether dealing with customer data, managing risk, or addressing regulatory mandates, business intelligence, and analytics can help you make better decisions for your organization and provide a world-class client experience. Analyzing data from operational systems and processes, analytics solutions can identify inefficiencies and automatically suggest ways to improve processes. This can save companies money by reducing the resources and time required to perform certain tasks while allowing managers to perform their most critical duties with fewer interruptions.
What does business intelligence have to do with finance?
Business intelligence (BI) is widely used in the finance industry, and one of its key functions is to facilitate financial reporting and regulatory compliance. With the use of BI technologies, accountants and auditors can check that their financial statements are correct and in line with all applicable regulations by seeing data from all relevant sources in a single dashboard or report. Business intelligence (BI) may assist in strategic planning and forecasting in addition to financial reporting and compliance. Finance experts may boost productivity by looking at past financial data and industry trends to find expansion opportunities.
Upcoming start dates
Suitability - Who should attend?
Who should attend?
The Mastering Business Intelligence and Analytics in Finance Course by Rcademy is recommended for any beginner or professional interested in working with finance or data:
- Data analysts
- Business analysts
- Financial analysts/financial statement analysts
- Quantitative analysts
- Finance managers/strategic managers
- Entrepreneurs
Outcome / Qualification etc.
The objective of the course is to highlight the increasing relevance of Business Intelligence and Analytics in finance by understanding its useful functions. Through the course, you’ll:
- Learn to develop reliable forecasts for the business
- Learn the latest BI tools and applications such as multidimensional analysis, visualized reports, scorecards, descriptive analysis, predictive analysis, etc.
- Learn to develop improved business performance and analytical dashboards
- Learn to develop systems that can identify favorable and unfavorable key performance variances in operations
- Improve the quality of your demand analysis and forecasting through better analytics tools
- Gain the ability to offer personalized financial services to the right customer at the right time by conducting intelligent marketing campaigns
- Learn to do a multidimensional analysis of business performance by dividing it into segments, geography, products, etc., with BI tools
- Gain an understanding of the latest trends prevalent in BI
- Learn to use BI and Analytics to enhance core business processes
- Gain a competitive edge over peers by using BI to compare competitor’s products and discovering ways to strengthen products offered
Training Course Content
Module 1: Introduction to Business Intelligence and Analytics
- Business Intelligence Roles and Practices
- Business intelligence solution life cycle
- Relevance of BI solutions today
- Scope and Spectrum of Business Intelligence in the present world
- Is Business Intelligence and Analytics different?
- The strategic Importance of Business Intelligence
Module 2: Business Intelligence and Analytics Use in Finance
- Tracking financial position
- Cashflow management
- Revenue management
- Balance sheet management
- Profitability management
Module 3: Business Intelligence Tools
- Ad hoc analysis
- Querying
- Enterprise Reporting
- Data warehousing
- Creating dashboards
- Types of dashboards
Module 4: Descriptive analysis
- When to use descriptive analysis
- Descriptive analysis for financial data
- Data aggregation, data mining, data discovery
- Process of descriptive analysis
- Examples of descriptive analysis
Module 5: Predictive analysis
- Descriptive vs predictive analysis
- Techniques of predictive analysis: statistical modeling, machine learning algorithms
- Deep learning
- Scope of predictive analysis
- Prescriptive analysis
- Using Excel for applying data science to accounting datasets
Module 6: Leveraging Business Intelligence and Analytics
- Strategizing to leverage Business Intelligence
- Why does business intelligence leverage matter?
- Finding the right tools for the business
- Understanding the Business intelligence process
- Data-driven approach
Module 7: Financial Forecasting
- Backward-looking data and forward-looking data
- Visionary Intelligence
- Gathering and cleaning data
- Understanding financial regression analysis
- Financial forecasting applications
- Applied forecasting
Module 8: Data Visualisation
- Data visualization tools
- Data visualization in Excel
- Data storytelling
- Static data visualization
- Interactive data visualisation
Module 9: Online Analytical Processing
- OLAP and OLTP
- Scope of OLAP
- Understanding the structure of OLAP
- OLAP Operations
- Types of OLAP systems
- Advantages and disadvantages of OLAP
Module 10: Challenges and Trends in Business Intelligence
- The Human Element in Business Intelligence
- Customizing Business Intelligence
- Data quality issue
- Inconsistent information in data silos
- End-user training
- Trends: real-time analytics, data literacy
- Collaborative Business Intelligence
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Rcademy
Rcademy is a global training and consultation organisation set out to bridge the gap between you now and what you can be in the near future. We are facilitators of knowledge impartation. Our team of established and experienced training enthusiasts...