Applied Business Intelligence for Decision Making Course by PwC Academy

This comprehensive course covers multiple industry-specific use cases, giving learners practical insights, data-driven decision-making abilities, and the ability to make intelligent decisions using structured data. This course enables learners to connect different data sources with Power BI and covers a broad spectrum of skills, ranging from basic concepts to complex techniques.

The course emphasizes data visualization to help learners build excellent reports and uses sophisticated technologies like Fabric and Q&A to improve report accuracy and aesthetics. The course will provide students with the technical skills to make data-driven decisions and the ability to write engaging reports that make data insights actionable.

By the end of the course, you will be able to:

Business Intelligence (BI) refers to the technologies, strategies, and processes used to analyze and convert unstructured data into actionable and meaningful information. The primary objective of business intelligence is to enable organizations to make data-driven decisions and acquire business-improving insights.

Decision-making for Business Intelligence (BI) refers to the process of using data and insights generated through BI tools and analytics to make informed and strategic decisions within an organization. BI decision-making involves collecting, analyzing, and visualizing data from various sources to gain actionable insights that can drive business improvements and optimize operations.

Business Analysts (BAs) are liaisons between business stakeholders and technology teams. They analyze business processes, collect and document requirements, and propose solutions to organizational issues and opportunities. BAs play an essential role in ensuring that projects and initiatives align with business objectives and result in data-driven, efficient decision-making.

Business analysts improve organizational performance by analyzing processes, identifying improvements, and developing solutions. Their key responsibilities include gathering requirements, analyzing data, developing solutions, collaborating with stakeholders, facilitating communication, managing projects, ensuring quality, and driving continuous improvement.

Business intelligence for decision making involves accumulating, integrating, and analyzing data from various sources to enable organizations to make decisions based on data. It includes data cleansing, advanced analytics, real-time insights, cloud integration, mobile access, and data governance. The scope spans industries, optimizes processes, and supports strategic planning.

There are numerous job opportunities related to business intelligence. As technology evolves, keeping current is essential. In a data-driven world, the scope and relevance of BI continue to grow, empowering organizations to obtain insights, improve their competitiveness, and adapt to shifting business landscapes.

This course is suitable for a wide range of individuals and professionals, including:

While prior knowledge of data analytics tools is not required to enroll in this course, it is advisable to possess a familiarity with data analysis, which will be beneficial as the course provides an introduction to these concepts.

Power BI Desktop is designed to function seamlessly on various systems, and the following are the recommended specifications:

Operating System:

Processor:

Memory (RAM):

Hard Drive Space:

Browser:

These system requirements are essential for the successful installation and usage of Power BI Desktop, ensuring that you can make the most of this powerful data analytics tool.

Practical Labs for this course will be implemented using Power BI Desktop. Detailed step-by-step installation guides are available on the LMS. In case you come across any doubt, the 24*7 support team will promptly assist you.