Business Intelligence: Data Analytics & Reporting Techniques

Workshop Overview

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 involves automating insights into a certain dataset as well as supposes the usage Data analytics is primarily conducted in business-to-consumer (B2C) applications. 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


  • UNDERSTAND the common data preparation operations
  • UNDERSTAND how to publish data and reports to the Power BI Service
  • IDENTIFY the techniques to transform data by filter, merge and append datasets
  • LEARN the variety of datasets that can be used to extract values
  • EXPLORE how to implement business logic the query editor to calculate some results
  • ENHANCE understanding on data models and relationships

Who Should Attend?

This training is highly recommended for people who are responsible in business intelligence and having to deal with data. These are some of them as following:

  • Business Professionals,
  • Business Analysts,
  • Data Analysts,
  • Research Analysts,
  • Finance Professionals,
  • Marketing and Sales Professionals,
  • HR Professionals,
  • IT Professionals,
  • Administrative Staff,
  • Supervisors,
  • 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?

Business intelligence data typically is stored in a data warehouse or smaller data marts that hold subsets of a company's information. Before it's used in BI applications, raw data from different source systems must be integrated, consolidated and cleansed using data integration and data quality tools to ensure that users are analyzing accurate and consistent information.

On the other hand, data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. Data analytics is also known as data analysis.

The course exercises use Power BI Desktop, a free tool from Microsoft to go from data to insights in minutes.