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Why enroll for Applied Business Intelligence for Decision Making?
Applied Business Intelligence for Decision Making Training Benefits
The global BI market has been on an impressive growth trajectory, starting at $27.11 B in 2022 and projected to reach $54.27 B by 2030, with a significant step up to $29.42 B expected in 2023. This growth is fueled by the ever-increasing demand for skilled professionals. The Bureau of Labor Statistics predicts an 11% increase in business analyst positions from 2020 to 2030, highlighting the significance of BI roles.
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Why Applied Business Intelligence for Decision Making from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Master Class by PwC's Academy in India
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-on-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-on Project-based Learning
- Industry-Relevant Use Cases
- Course Demo Dataset & Files
- Assignments
Industry-Recognised Certification
- Joint Certification
- Graded Performance Certificate
- Certificate of Completion
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About your Applied Business Intelligence for Decision Making
Applied Business Intelligence for Decision Making Skills Covered
Applied Business Intelligence for Decision Making Tools Covered
Applied Business Intelligence for Decision Making Course Curriculum
Curriculum Designed by Experts
Power BI Connectivity and its Business Applications
9 Topics
Topics:
- Overview of the curriculum
- What is BI?
- How does a real-life project work?
- Industry standard architecture of a BI implementation project
- Industry standard KPIs of Sales, Manufacturing, and Sales departments
- Power BI adoption of a manufacturing company
- Power BI connectivity modes: Import, Direct Query, and Live Connection
- Power BI connectivity mode with on-premise data: Files, Excel, Text/CSV, PDF files, and Folders
- Power BI connectivity mode with on-cloud data: Snowflake, Azure SQL DB, Azure Blob Storage, AWS Redshift, S3, Web, API, and Azure Analysis Service
![skill]( "Hands On Experience")
- Connection with Multiple Data Sources
- Erecting Architecture of BI
![skill]( "skill you will learn")
- Connectivity Modes
- Industrial standards of BI
- KPIs in Industries
Data Driven Visualization and Modeling
6 Topics
Topics:
- Industry standard data modeling to analyze three business functional areas: Sales, Manufacture and Finance
- Data Cleaning for Repost/Dashboard Creation: Column Manipulation and Adjusting Data
- DAX capabilities
- How Measures and Calculated columns can be used as per critical business requirements
- Application of Slicers, filters, Drill up, Drill Down, Drill through, and Bookmark functions in a real-life project
- Application of Scroller, Gauge, and Map in a real-life project
![skill]( "Hands On Experience")
- Data Modeling and Cleaning
- Manipulating Data with DAX
- Calculating Measures and Column
- Handling Visuals for Insights
- Bookmarks and Buttons
![skill]( "skill you will learn")
- Data Manipulation and Transformation
- Structuring Data
- Creating Visuals
- Navigating with Bookmarks
Advanced Power BI Features and Relevant Use Cases
6 Topics
Topics:
- Business Use-case of Time Intelligent
- Business Use-case of Pareto using dynamic slicer
- Business Use-case: Balance sheet
- Business Use-case of Power BI AI capabilities: Forecasting, Q&A, and Anomalies
- Business Use-case for โWhat ifโ Analysis and Segmentation
- Power BI with Python: Data Transformation, Performing EDA to get insights about data distribution, and Designing visuals with Python to understand data
![skill]( "Hands On Experience")
- Setting up Time Intelligence
- Applying Dynamic Slicer in Pareto
- Implement Forecasting and Q&A
- Detecting Anomalies
- Creating Visuals in Python
![skill]( "skill you will learn")
- Adjusting Time for Reports
- Visualization for EDA
- Data Transformation with Python
- AI Generated Insights
- Demonstrate What if Analysis
Power BI - Best Practices, Essentials and Future
5 Topics
Topics:
- Features of Fabric - Power BI connectivity with fabric Data warehouse and One Lake
- Creating quick measures using Copilot
- Important features of Power BI Server & Service and their business application
- Industry-standard Power BI dashboard/reports for manufacturing, sales, and finance
- The art and science of visualization
- The best practices to improve performance, security, and design in Power BI
![skill]( "Hands On Experience")
- Using Copilot
- Know Service and Report Server
- Build Reports and Dashboards
- Connecting Data Warehouse and Lake
![skill]( "skill you will learn")
- Fabric Capabilities
- Data Warehousing for Visuals
- Manipulating One Lake
- Application of Service and Report Server
- Paginating Reports and Dashboards
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Applied Business Intelligence for Decision Making Course Details
About PwC's Academy in India
PwC's Academy in India is a learning and education service offering of PwC India. It provides diverse training courses based on the best practices of PwCโs global network of firms and brings real-life business experiences into the classroom. Moreover, subject matter experts help to make learning more effective and practical.
PwC's Academy in India focuses on improving the knowledge, skills, competence, and expertise of professionals and students by offering diverse learning programs in areas such as financial accounting and reporting, risk, governance, and digital.
About this Applied Business Intelligence for Decision Making course
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.
What will you learn from this Applied Business Intelligence for Decision Making course?
By the end of the course, you will be able to:
- Get acquainted with Power BI connectivity options and industry-standard BI project architecture, which allow for data-driven decision making.
- Develop competence in data cleaning and modeling, implement DAX commands, calculated columns & measures.
- Discover actionable insights by acquiring advanced Power BI techniques, such as AI-driven analytics, Python integration, and data exploration.
- Learn how to generate industry-standard Power BI reports for different business functions like sales, manufacturing, and finance using different Power BI features.
- Perform data-based forecasting and identify anomalies.
- Learn how to navigate reports using bookmarks and buttons.
- Detailed explanation of the most critical and useful features of the Power BI and how those can be leveraged to solve the problems which different business functions face quite frequently.
- Learn the art and science behind Data visualization
What is Applied Business Intelligence for Decision Making?
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.
What is decision-making for Business Intelligence?
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.
Key aspects of decision-making for Business Intelligence include:
- Data Gathering: The first step is to collect and consolidate data from multiple sources, such as databases, spreadsheets, cloud platforms, and external data feeds. This data can include customer information, sales figures, market trends, and more.
- Data Analysis: Once the data is collected, it is analyzed using BI tools and techniques. This analysis can involve data cleansing, transformation, and modeling to ensure data accuracy and relevance.
- Data Visualization: Data is often presented through visualizations such as charts, graphs, and dashboards. Effective data visualization makes it easier for decision-makers to understand complex data patterns and trends.
- Identifying Insights: BI tools and analytics help in identifying insights, trends, and patterns within the data. Decision-makers can uncover correlations, outliers, and anomalies that may not be apparent through raw data.
- Setting Key Performance Indicators (KPIs): Decision-makers define KPIs that align with organizational goals. These KPIs serve as benchmarks to measure the success of initiatives and strategies.
- Informed Decision-Making: Armed with data-driven insights, decision-makers can make informed choices regarding various aspects of the business, such as product development, marketing strategies, resource allocation, and more.
- Predictive Analytics: Advanced BI may include predictive analytics, where historical data is used to make forecasts and predictions about future trends and outcomes. This helps with proactive decision-making.
- Monitoring and Iteration: BI is an ongoing process. Decision-makers continuously monitor performance against established KPIs and use BI insights to refine strategies and make course corrections when necessary.
- Sharing Insights: BI insights are often shared across the organization, ensuring that relevant stakeholders have access to the data and analysis they need to support decision-making at all levels.
- Strategic Planning: BI plays a crucial role in strategic planning, helping organizations formulate long-term goals and strategies based on data-driven insights.
Who is a Business Analyst?
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.
What are the roles and responsibilities of Business Analysts?
Business analysts play a vital role in assisting organizations to improve their performance by analyzing business processes, identifying areas for improvement, and developing solutions to satisfy the business's requirements. The following are some of the most important duties and responsibilities of business analysts:
- Gathering requirements: Business analysts collaborate with project stakeholders to identify and assemble project requirements, including defining the scope, objectives, and success criteria.
- Analyzing data: Business analysts use a variety of analytical tools and techniques to analyze data, identify trends, and draw conclusions that can assist an organization in making informed decisions.
- Developing solutions: Based on the requirements and analysis, business analysts develop solutions to business problems, such as new business processes, software applications, and other solutions.
- Collaborating with stakeholders: Business analysts collaborate closely with stakeholders, such as project managers, developers, and end users, to ensure that the solution satisfies their needs and requirements.
- Facilitating communication: Business analysts serve as liaisons between various stakeholders, facilitating communication and teamwork between teams.
- Managing projects: Business analysts may be responsible for managing projects, which may include devising project plans, monitoring progress, and ensuring deliverables are completed on time and within budget.
- Testing and quality assurance: Business analysts may be responsible for testing and quality assurance, ensuring that the solution satisfies the required specifications and standards.
- Continuous improvement: Business analysts are tasked with continuously monitoring and enhancing business processes, identifying improvement opportunities, and devising solutions to address them.
What is the scope of Business Intelligence for Decision Making?
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.
Who is this Applied Business Intelligence for Decision Makingcourse for?
This course is suitable for a wide range of individuals and professionals, including:
- BI Analysts: Individuals who are planning to enter the field of business intelligence and are seeking foundational knowledge and skills.
- Data Analysts: Data analysts who are looking to enhance their data preparation, modeling, and visualization skills leveraging Power BI.
- BI Developers: BI developers who want to enhance their proficiency in Power BI and advanced BI techniques.
- Data Scientists: Data scientists interested in using Power BI for data visualization and business-oriented reporting.
- Business Professionals: Business professionals looking to improve their skills for making effective data-driven decisions.
- IT and Database Professionals: IT and database professionals who are looking to expand their knowledge of BI architecture and implementation.
- Anyone Seeking Career Advancement: Individuals aiming to enhance their career prospects by acquiring in-demand BI skills.
- Entrepreneurs and Small Business Owners: Entrepreneurs and small business owners who are interested in harnessing data for better outcomes.
- Aspiring Learners: Learners who aspire to stay updated with the latest BI and Power BI advancements.
What are the prerequisites for this Applied Business Intelligence for Decision Making course?
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.
What are the system requirements for this Applied Business Intelligence for Decision Making course?
Power BI Desktop is designed to function seamlessly on various systems, and the following are the recommended specifications:
Operating System:
- Windows 8 or any higher OS
Processor:
- For optimal performance while using Power BI Desktop, it is recommended to have a 64-bit processor with a minimum speed of 1.4 GHz or higher.
Memory (RAM):
- To run Power BI Desktop effectively, a minimum of 4 GB of RAM is required. However, for a smoother and more efficient experience, it is advisable to have 8 GB or more of RAM.
Hard Drive Space:
- Ensure that your computer has at least 2 GB of free hard drive space available for the installation of Power BI Desktop.
Browser:
- Please take note that certain features and interactions within Power BI may necessitate the use of a compatible web 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.
How will I execute the practicals during this Applied Business Intelligence for Decision Making Course?
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.
Applied Business Intelligence for Decision Making Certification
To unlock the course completion certificate from PwC's Academy in India and Edureka, you must ensure the following:
- Completely participate in this Applied Business Intelligence for Decision Making training course.
- You must complete all modules along with the graded assessments.
Yes, business analytics is still a great career choice in 2024 and is projected to continue growing in demand in the coming years. Here are some reasons why:
- High demand: As businesses increasingly rely on data to make informed decisions, the demand for skilled business analysts and data professionals continues to grow across various industries.
- Competitive salary: Business analytics professionals typically earn a competitive salary, with many opportunities for career growth and advancement.
- Diverse career paths: Business analytics professionals can work in many different industries and functions, including finance, healthcare, retail, and technology, making it easy to find a job that aligns with your interests.
- Challenging work: Business analytics professionals are tasked with solving complex problems, making it a rewarding career for those who enjoy analytical thinking.
- Continuous learning: As new technologies and methodologies emerge, there are always opportunities for business analytics professionals to continue learning and developing new skills.
Business intelligence professionals are essential for managing, evaluating, analyzing, and extracting valuable insights from data across industries. These careers offer substantial room for advancement, with even entry-level business intelligence analysts earning an average annual salary of around $90,143. The opportunities extend globally, making this field an attractive choice in a data-driven world.
Power BI is a BI tool for analytics. This tool allows users to aggregate and share data with reports, visualizations, and other analytics tools. It helps you create reports and charts for business insights. Power BI is available as a Windows desktop app or as online cloud-based software as a service.
Power BI is a popular choice among all business intelligence tools because it is easy to understand, even for non-technical professionals. Users donโt need advanced skills in data analytics or engineering in order to use Microsoft Power BI. This online course will help you gain expertise in the Power BI topics that are part of the syllabus.
This Applied Business Intelligence for Decision course is designed to meet the requirements of both working professionals and freshers. Our highly skilled trainers explain everything, make it easy to understand the concepts, and resolve all your queries.
The value of obtaining a certification in business intelligence is multi-faceted:
- Enhanced Career Opportunities: Co-branded certification from PwC and Edureka demonstrates your expertise in BI, making you a more attractive candidate for job opportunities and may lead to higher earning potential in a wide range of industries and roles, such as BI analyst, data scientist, BI developer, and more
- Skill Validation: It validates your skills and knowledge in BI tools, data modeling, data transformation, and data visualization, giving you confidence in your abilities
- Industry Recognition: Employers often seek candidates with recognized certifications, and our certification demonstrates your commitment to staying up-to-date in the field
- Improved Decision-Making: The skills acquired through certification empower you to use data effectively, leading to better-informed, data-driven decisions in your professional endeavors
- Career Advancement: Certification can open doors to promotions and leadership roles, as it showcases your ability to contribute to strategic decision-making within an organization
- Personal Growth: Certification reflects a commitment to continuous learning and professional growth, helping you stay relevant in a rapidly evolving field
- Employer Benefits: Employers benefit from having certified employees who can contribute to improved business outcomes through data-driven insights and more efficient operations
On completing this Applied Business Intelligence for Decision training certification, youโll be eligible for roles like Business Analyst, Data Analyst, Systems Analyst, Product Manager, Project Manager, Operations Analyst, Financial Analyst, Management Consultant, Business Intelligence Analyst, Risk Analyst, and many more.
Top Companies Such as McKinsey & Company, Bain & Company, Accenture, Deloitte, PwC, EY, KPMG Google, Amazon, Microsoft, IBM, Oracle, Cisco, Intel, JPMorgan Chase, Goldman Sachs, Wells Fargo, Citibank, Morgan Stanley, and many more are frequently hiring for Business Analysts role.
The top companies using Power BI around the globe are:
- Microsoft
- Ernst & Young
- PwC
- Dell
- Deloitte
- Accenture
- Sony
- Rolls-Royce Holdings PLC (UK)
- Capgemini
- Infosys
- Wipro
- HCL Technologies
Please visit the page that will guide you through the top Power BI interview questions.
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Applied Business Intelligence for Decision Making Course FAQs
What if I miss the Applied Business Intelligence for Decision Making course classes?
You will never miss a lecture at Edureka! as you can always view the recorded session of the class available in your LMS.
So, what are you waiting for then, letโs enroll with Edureka and learn the best Applied Business Intelligence for Decision Making course online with India's top instructors.
Can I change the batch after enrolling in this Applied Business Intelligence for Decision Making course?
No, we don't allow batch changes as it impacts your learning and career goals.
What is the role of the PwC's Academy in India in this Applied Business Intelligence for Decision Making course?
This Applied Business Intelligence for Decision Making course has been designed and developed by PwC's Academy in India, and PwC's Academy in India will conduct the master class.
What is the refund policy for Applied Business Intelligence for Decision Making course?
This Applied Business Intelligence for Decision Making course, offered jointly by PwC and Edureka, is Non-Refundable.
What if I have queries after I complete this Applied Business Intelligence for Decision Making course online?
Your access to the Support Team is for a lifetime and will be available 24/7. The team will help you resolve queries during and after the completion of this certification course.
How soon after signing up would I get access to the Learning Content?
Post-enrolment, the LMS access will be instantly provided to you and will be available for a lifetime. You can access the complete set of previous class recordings, PPTs, PDFs, and assignments. Moreover, access to our 24ร7 support team will be granted instantly. You can start learning right away.
Will the course material be available to learners after completion of the course?
Yes, access to the Applied Business Intelligence for Decision Making course material will be available for a lifetime once you have enrolled in the course.
Who are the instructors for this Applied Business Intelligence for Decision Making course?
All the instructors at Edureka are practitioners from the industry with a minimum of 10-12 years of relevant IT experience. They are subject matter experts and are trained by Edureka to provide an excellent learning experience to the participants.
Is this course 100% online? Do I need to attend any physical classes?
This course is 100% online and there will be no physical classes. This course can be accessed through the web on any device.
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