Course description
Businesses today are facing an unprecedented level of volatility. The advent of widespread access to data has fuelled a never-ending stream of insights that can be used to make decisions that significantly impact entire industries. Unfortunately, the flood of data makes it difficult for managers to find the right information to make sound decisions. That’s where the role of Business Intelligence Analysts comes in. Business intelligence comprises a varied range of Information Technology tools for gathering, analyzing and reporting information to stakeholders. Business intelligence tools discover the data needed to spot trends and make informed decisions, which managers can then act upon to achieve organizational goals. Business intelligence is relevant in automating processes and making key decisions, which can help organizations save money, increase productivity, and reduce the risk of costly errors.
What is the utility of business intelligence systems in the present scenario of data overload?
Business intelligence, or BI, is a tool that uses several technologies and applications to help analyze and research data and information to find useful insights. BI tools are often used to automate data collection and reporting, but they can also be used to perform data visualization, data mining, and data extraction. BI tools can create dashboards, workflow applications, and other add-ons that make it easy for users to access and share data and information.
Upcoming start dates
Suitability - Who should attend?
Who should attend?
Rcademy’s Business Intelligence Analyst Certification Training Course is suitable for the following:
- Data Analysts
- Data Managers
- Data scientist
- Business Intelligent analysts
- System Analysts
- Product managers
- Departmental heads and managers
- Operation managers
- Graduates, learners and scholars
- Entrepreneurs
- Data management analysts
Outcome / Qualification etc.
Rcademy has designed the course revolving around the following objectives:
- To gain an understanding of concepts and elements of Business Intelligence
- To understand the scope and application of business intelligence
- To gain valuable business insights through the effective use of business intelligence tools and techniques
- To gain first-hand experience with a diverse range of Business Intelligence technologies such as data warehousing, data mining, OLAP, reporting, etc.
- To define ways in which business intelligence will leverage an organization against its peers
- To encourage better decision-making in the organization
- To gain an understanding of data architecture that supports Business Intelligence systems
- To understand the interrelationship of business intelligence with other organizational contexts
- To get acquainted with emerging trends and prevalent practices in business intelligence
- To overcome common challenges encountered during the implementation of business intelligence systems
Training Course Content
Module 1: Overview of Business Intelligence
- Purpose of business intelligent systems
- Application of business intelligence in corporate
- Common functions of business intelligence
- Business Intelligence technologies
Module 2: Skills for Business Intelligence
- The rising role of data scientist
- Recognition of patterns in data
- Critical thinking
- Data modeling
- Decision making
- Analytical skills
Module 3: Data Mining
- Data mining model creation
- Gathering and selection of data
- Data cleansing
- Data mining techniques: decision trees, regression
Module 4: Data Warehousing
- Prerequisite for data warehousing
- Data mart vs data warehouse
- Approaches to developing data warehouse: top-down and bottom-up
- Data warehouse architecture
- Process of data transformation
Module 5: Business Analytics
- Differentiating business analytics and business intelligence
- Analytical modeling
- Predictive modeling
Module 6: Data Discovery and Visualization
- Web Mining
- Considerations when presenting data
- Data exploration using visual analytics
- Attributes to look out for in data discovery tools
- Excel for data visualization
Module 7: Business Intelligence tools
- Online Analytical Processing
- Social media analytics
- Reporting
- Dashboards
- Querying
- Data mining
- Cluster analysis
- Text mining
Module 8: Big Data
- Unique features of big data
- Increasing variety and complexity of data
- Sources of big data
- Big data technologies
- Impact and effects of big data on business models
Module 9: Basics of OLAP
- Multidimensional analysis
- OLTP
- Applications and scope of OLAP
- Roll up and drill down
- Slicing and dicing
- Types of OLAP
Module 10: Cluster Analysis
- Segmentation technique
- Applications of cluster analysis
- Clustering techniques
Module 11: Business Intelligence Best Practices
- Establishing clear targets
- Building data literacy
- Keeping data secure
- Agile architecture
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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...