Course Description
Many organizations are working on big data to ensure business performance and increased productivity are apparent for the streamlining of business operations. This is vital in the business environment today as data increases and organizations are finding it cumbersome to manage it manually. To increase the awareness of how Big Data could be analyzed and effectively implemented, this training workshop looks at the several aspects of Big Data and its business impact and significance in measuring business success and performance.
What Do Participants Learn?
After the completion of this course, participants will be able to learn:
- The impact of Big Data in the business environment today and why the need for it?
- Fact-based decision-making models in the business environment
- The challenges companies face in optimizing their data and consolidating it
- How to apply the five methods to use data visualization techniques
- How to demonstrate using Charts and Graphs to communicate Big Data analysis to both internal and external players in my organization for a clearer understanding
Who Should Attend?
- CEOs and Managers,
- Financial and Data Analysts,
- Sales and Administration Managers,
- Systems Analysts and Engineers
What Will the Learning Experience Include?
Phase: 1
Introduce
- Comprehensive pre-program activities include:
- Web-based information forms & surveys completed by attendee.
- Direct consultation with the attendee about the expectations.
- During the training, participants engage in data, activities, and conversations that lead to insight and knowledge.
- Participants learn from expert trainers who have both academic and business experiences.
- Highly applicable training content & instructive activities for adding depth to training topics.
- **A half-day site visit for integrating the experience & plan next steps. Opportunities to provide connections, ideas & support.
Phase: 2
Explore & Practice
Phase: 3
Apply
- Apply & sustain the learning experience by using this ongoing support:
- To ensure participant has new skills or behavior progress.
- Optional, fee-based mentoring & coaching with the trainer.
- Training materials & additional documents (e-books, pdf files, presentations and articles)
- Evaluate your training experience by giving us feedbacks and help us to reach our organizational goals.
- Participant's Evaluation
- Trainer's Evaluation
Phase: 4
EVALUATE
Section One: What is Business Intelligence and Data Analytics?
- Definitions of Business Intelligence
- History of Business Intelligence
- How is Business Intelligence is used to help businesses to monitor growth and performance
- Definition of Data Analytics
- Relationship between Business Intelligence and Data Analytics
Section Two: Got Data? The Unique Role of the Data Analyst
- Role of a Data Analyst
- Skillsets required to be an effective Data Analyst
- Facts or Feelings: Your Choice
- Model, a fact-based method for decision making.
- Fact-Based Decision-Making Process
- The two types of Decision Models Businesses use
- The Benefits of Fact-Based Decision Making
- Rational Decision Model: Six- Step Method
- Pal's Diner: An Example of how the Rational Model is used in practice
- Big Data Anatomy
Section Three: Big Data Anatomy
- The Attributes of Big Data
- Definition of Big Data
- The 4 V's of Big Data
- Structured versus Unstructured Data
- The Challenges of Big Data
- Getting to Know Your Data
Section Four: Displaying Tabular Data in Excel
- How to create custom tables in Excel
- How to Sort/Filter tabular data
- How to create and manipulate pivot tables
- Using Charts and Graphs to Communicate Data
- How to create Pie, Column, and Line charts using Excel
- Communicating effectively using different chart types
- How to choose the correct chart to display the correct data type
Section Five: Probability: Quantifying Uncertainty
- Origin of Probability
- Probability: Examples of Business Applications
- The traditional definition of Probability
- Simple Computation: The Top Bottom Fraction MethodHow to calculate probabilities from contingency tables
- How to Calculate conditional probability from contingency tables
- Applying probability to calculate relative frequency
- Applying probability to calculate expected value
- Using Expected Value in Decision Making