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BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

Business Intelligence: Data Analysis and Reporting Techniques

The Business Intelligence course focuses on transforming data into actionable insights through reporting and analytics. Moreover, learners develop practical skills in dashboards, KPIs, and data visualization platforms to support informed business decisions.

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Business Intelligence

Overview

Business Intelligence

Business Intelligence (BI): Data Analysis and Reporting Techniques is a practical program designed to help professionals transform raw data into meaningful and actionable business insights. Moreover, it develops essential knowledge of data analysis, reporting, data modeling, and business intelligence processes. In addition, learners explore how dashboards and KPIs can be used to monitor performance and identify important business trends. Furthermore, the program introduces visualization platforms such as Power BI and Tableau to present complex information clearly. Through practical applications, participants learn to organize data, identify patterns, and generate insights that support strategic planning. Consequently, professionals can improve their ability to interpret business information and communicate analytical findings effectively. Similarly, the course highlights reporting techniques that help organizations evaluate performance and make evidence-based decisions. Besides this, learners develop an understanding of how BI tools can improve operational efficiency and business performance. Therefore, the program is suitable for professionals seeking to strengthen their analytical, reporting, and decision-making capabilities. Ultimately, Business Intelligence (BI): Data Analysis and Reporting Techniques equips learners with practical skills to support data-driven strategies across modern organizations.

AreaDescription
Business IntelligenceUnderstand how BI processes transform organizational data into actionable business insights.
Data AnalysisDevelop techniques for examining data, identifying patterns, and generating meaningful findings.
Data ModelingLearn how to structure and organize data for effective analysis and reporting.
DashboardsDevelop interactive dashboards for monitoring business performance and presenting insights.
Key Performance Indicators (KPIs)Understand how KPIs can measure progress, performance, and organizational objectives.
Power BIExplore Power BI for data visualization, dashboard creation, reporting, and business analysis.
TableauLearn how Tableau can be used to create interactive visualizations and communicate data insights.
Data VisualizationPresent complex datasets through clear and meaningful charts, graphs, and visual reports.
Reporting TechniquesDevelop structured reporting skills to communicate analytical findings to stakeholders.
Strategic Decision-MakingUse data-driven insights to support planning, improve performance, and guide informed business decisions.

Offered By

Berkeley School of Buisness Art & Sciences

Head office

Dubai, UAE

Vision & Mission

The vision and mission of Business Intelligence (BI): Data Analysis and Reporting Techniques are to develop professionals who can transform complex data into accurate, meaningful, and actionable business insights. Moreover, the program aims to strengthen expertise in data analysis, data modeling, dashboards, KPIs, reporting, and visualization tools such as Power BI and Tableau. Furthermore, it equips learners with practical capabilities to communicate insights effectively and support evidence-based strategic decisions. Ultimately, the program promotes data-driven thinking, improved business performance, and effective use of business intelligence across modern organizations.

What is the Eligibility?

  • A bachelor’s degree or equivalent qualification in Business, Finance, Accounting, Information Technology, Data Analytics, Computer Science, or a related field is preferred.
  • The program is suitable for business professionals, managers, analysts, finance professionals, IT specialists, and aspiring business intelligence professionals.
  • Basic knowledge of business operations, data analysis, spreadsheets, or reporting is recommended.
  • Familiarity with Power BI, Tableau, Excel, databases, or data visualization is beneficial but not mandatory.
  • Professionals working in finance, marketing, sales, operations, technology, consulting, and management can benefit from the program.
  • Relevant professional experience in business analysis, reporting, data management, or performance management may be considered for candidates without a directly related academic qualification.
  • The program is also suitable for individuals seeking to develop practical skills in business intelligence, dashboards, KPIs, data visualization, and data-driven decision-making.

Who can do?

Business Intelligence
anyone who is interested to learn about following concepts can pursue Business Intelligence: Data Analysis and Reporting Techniques:
Business Intelligence, Data Analysis, Data Modeling, Data Visualization, Power BI, Tableau, Dashboard Development, KPI Management, Business Reporting, Data Reporting, Business Analytics, Strategic Decision-Making.
individuals with the following designations:
Business Intelligence Analyst, Business Analyst, Data Analyst, BI Developer, BI Manager, Reporting Analyst, Data Visualization Analyst, Business Intelligence Consultant, Analytics Manager, Performance Analyst, Data Analytics Manager, Business Intelligence Director.

Course structure

Module 1: Introduction to Business Intelligence and Data Strategy

Understand the fundamentals of Business Intelligence, its role in modern business, and how data strategies align with organizational goals. This module sets the foundation for data-driven decision-making.

Module 2: Data Collection, Cleaning, and Transformation

Learn techniques for sourcing, cleaning, and transforming raw data into structured formats. Emphasis is placed on data quality, integrity, and preparation using tools like Excel and SQL.

Module 3: Data Analysis and KPI Development

Dive into exploratory data analysis, identifying trends, patterns, and business insights. Learn how to create and track meaningful Key Performance Indicators (KPIs) aligned with business goals.

Module 4: Data Visualization and Dashboard Reporting

Master visualization tools like Power BI and Tableau to create dynamic dashboards and visual reports. Focus is on visual storytelling, user interactivity, and automated reporting techniques.

Module 5: Real-Time Reporting and BI Implementation

Explore real-time data integration, business reporting automation, and deployment of BI systems in live environments. Learn how to communicate insights to stakeholders and drive action.

Lecture plan

Module 1: Introduction to Business Intelligence and Data Strategy (3Hours)

Module 1: Introduction to Business Intelligence and Data Strategy (3Hours)

Module 2: Data Collection, Cleaning, and Transformation (3Hours)

Module 2: Data Collection, Cleaning, and Transformation (3Hours)

Module 3: Data Analysis and KPI Developmen (3Hours)

Module 3: Data Analysis and KPI Developmen (3Hours)

Module 4: Data Visualization and Dashboard Reporting (3Hours)

Module 4: Data Visualization and Dashboard Reporting (3Hours)

Module 5: Real-Time Reporting and BI Implementation (3Hours)

Module 5: Real-Time Reporting and BI Implementation (3Hours)

Learning Methodology

Berkeley offers expertly developed learning materials tailored to meet participants' needs, ensuring comprehensive coverage of the syllabus and optimal exam preparation.

‣ Tailored Material: Guides are designed to cover the entire syllabus, offering full preparation and deep understanding.

‣ In-Depth Content: Unlike superficial outlines, our materials provide fully developed theories and concepts, equipping participants with complete knowledge.

‣ Strategic Study: We help participants prioritize study time by indicating the weight of each topic, allowing efficient focus on crucial areas.

‣ Difficulty Levels: Topics are labeled as "Awareness" or "Proficiency," guiding participants to allocate time based on the required depth of knowledge.

‣ Comprehensive Coverage: Our materials include detailed theory and a glossary of technical terms to clarify complex concepts.

‣ Effective Learning Techniques: Visual aids and memorization techniques ensure long-lasting retention, helping candidates succeed.

Berkeley’s methodologies equip participants with the essential knowledge and tools for both exams and future success.

Business Intelligence
Lectures

Our lecture plan integrates structured learning with interactive teaching methods, promoting engagement and collaboration. This approach ensures a comprehensive understanding of concepts, fostering critical thinking and practical application in real-world scenarios.

Business Intelligence
Practice Session

Practice sessions offer hands-on experience through guided exercises, enhancing skills and reinforcing knowledge. This practical approach ensures mastery of concepts, promoting.

Business Intelligence
Mock Examination

Mock examinations simulate real test conditions, providing valuable practice and assessment. This helps identify strengths and weaknesses, ensuring thorough preparation and boosting confidence for actual exams.

berkeley's performance standards

Evaluates and ensure the quality of the training program and all its deliverables.  This is measured through the following indicators:
‣ Instructors' experience and style in presenting and explaining topics.
‣ Variety and balance of teaching methods (such as discussions, case studies, mock exams and videos) used in the course to ensure retention and to match the learning objectives.
‣ Level of interactivity.
‣ Feedback from program participants
‣ Full compliance with Institute standards and guidelines for preparation and study requirements and methodology.
‣ Progress reports from the training program provider.

Fee Structure

Self-Study Program

AED 5,500.00

Ideal for disciplined learners who prefer flexibility

  • Access to Berkeley Study Materials (eBook)
  • Lecture Recording

Live Online Classes

AED 9,000.00

Learn from expert instructors in real-time

  • Interactive live sessions
  • Full syllabus coverage and doubt solving
  • Study materials

One-to-One Face-to-Face Coaching

AED 18,300.00

Personalized, intensive learning experience

  • Individual attention and customized pace
  • Direct mentorship with an expert trainer
  • Complete study package included
Business Intelligence

Success Stories

“As a strong advocate for education and human development, I commend Berkeley for its exceptional commitment to empowering future leaders. The institution stands as a symbol of excellence, innovation, and opportunity. Students who walk its halls are nurtured with knowledge, values, and vision—qualities that contribute to building a stronger and more prosperous future for our nation.”- H.H. Shaikh Khalifa Al Hamid

Visit our Alumni

Alumni Benefits

‣ Exclusive Networking Events: Access invitations to industry-leading events and thought-leadership gatherings featuring renowned speakers.


‣ Monthly Updates: Stay informed with a newsletter highlighting the latest research, events, and activities from the school.


‣ LinkedIn Community Access: Join the Executive Education LinkedIn group for networking and professional development opportunities.


‣ Educational Discounts: Enjoy a 20% discount on open-enrollment programs and access to workshops focused on emerging trends.


‣ Global Alumni Network: Connect with a diverse alumni community through the Berkeley School’s online network and engage in country and interest groups.

Is It Worth the Investment?

The Business Intelligence: Data Analysis and Reporting Techniques program is valuable for business intelligence analysts, data analysts, business analysts, BI developers, reporting specialists, data visualization professionals, analytics managers, and business leaders seeking expertise in data analysis, data modeling, dashboards, KPIs, Power BI, Tableau, reporting, and data-driven decision-making.

UK: £55,000–£110,000+ per year
Middle East: AED 220,000–550,000+ per year
USA: USD 90,000–180,000+ per year
Asia & Africa: Competitive salaries based on experience, industry, organizational size, BI responsibilities, technical expertise, reporting requirements, data visualization skills, analytical capabilities, and business intelligence needs.

Business Intelligence

Progression Route:

After completing Business Intelligence: Data Analysis and Reporting Techniques, professionals can progress into advanced pathways in business analytics, data science, data management, and strategic intelligence. Furthermore, learners can strengthen their analytical capabilities through the Certified Data Analyst Professional and develop broader expertise with Certified in Data Science. In addition, professionals seeking advanced data management knowledge can explore the Certified Data Management Professional. Moreover, learners can enhance their big data and analytics capabilities through the Certified Big Data and Data Analytics Practitioner.

Furthermore, professionals can deepen their Power BI expertise through the Microsoft Power BI Data Analyst program. For additional professional development, learners can explore Microsoft Learn for resources covering Power BI, data analytics, and business intelligence. Ultimately, these progression routes can support advancement toward roles such as Senior Business Intelligence Analyst, BI Developer, Data Analyst, Business Intelligence Manager, Analytics Manager, BI Consultant, and Business Intelligence Director.

What You Earn

You will get a certificate of completion, which is highly reputed and accepted by employers

Business Intelligence

Industry Relevance

Applicable across industries—healthcare, retail, finance, tech, and logistics.

Future Trends

Aligns with trends like AI in BI and predictive analytics.

Technical Skills

Develops proficiency in BI tools, SQL, and reporting software.

Career Advancement

BI roles are in high demand with fast-track promotion opportunities.

Fundamental Knowledge

Offers core understanding of business data management and analysis.

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