Business intelligence career master plan launch and advance your BI career with proven techniques and actionable insights
Learn the foundations of business intelligence, sector trade-offs, organizational structures, and technology stacks while mastering coursework, certifications, and interview success strategies Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesIdentify promising job opportunit...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Birmingham, England :
Packt Publishing Ltd
[2023]
|
| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009764838106719 |
Tabla de Contenidos:
- Cover
- Title Page
- Copyright
- Dedication
- Foreword
- Contributors
- Preface
- Chapter 1: Breaking into the BI World
- Where to start?
- BI roles
- Problem solving
- Specific industry knowledge and subject matter expertise
- Communication skills
- Statistical analysis
- Technical knowledge
- Business acumen
- Keep up with innovation
- Potential entrances to the BI world
- BI roadmap
- ETL developers
- Data architects
- Data modelers
- BI developers
- Data scientists
- Technology solutions stack
- Non-technical data analysis
- Case 1
- Case 2
- Case 3
- Case 4
- Case 5
- Summary
- Chapter 2: How to Become Proficient in Analyzing Data
- Building a taxonomy of your data sources
- How to use a BI tool to explore data
- Understanding your data needs
- Summary
- Chapter 3: How to Talk Data
- Presenting data
- Know your audience
- Choose the right visualization
- Keep it simple
- Use color and formatting effectively
- Provide context
- Tell a story
- High-level dashboards
- Operational reports
- Talking to stakeholders
- Data visualization taxonomy
- Bar charts
- Line charts
- Pie charts
- Scatter plots
- Area charts
- Heat maps
- Bubble charts
- Gauge charts
- Tree maps
- Box plots
- Advanced data visualizations
- Sankey diagrams
- Bullet charts
- Taxonomy diagrams
- Pareto diagrams
- Decision tree for picking a visualization
- Storytelling
- Summary
- Chapter 4: How To Crack the BI Interview Process
- Finding the right interview
- Building a business problem and data solutions matrix
- Potential business cases and solutions
- Teamwork
- Customer service
- Adaptability
- Time management
- Communication
- Motivation and values
- A hypothetical BI interview process and what to expect
- General business intelligence interview questions
- Scenario-based BI questions.
- Business case study questions
- SQL business intelligence interview questions
- Database design business intelligence questions
- Python business intelligence interview questions
- Summary
- Chapter 5: Business Intelligence Landscape
- The current landscape and the most effective technologies to study
- Collecting data
- Storing data
- Cleaning and preparing data
- Analyzing data with BI tools
- Focusing on user experience
- The use of AI
- BI developer versus BI architect versus data engineer versus data modeler versus business analyst
- Business acumen
- Increased productivity
- Automation
- Templating
- Standardization
- Monitoring systems
- Efficient team management
- Summary
- Chapter 6: Improving Data Proficiency or Subject Matter Expertise
- Data proficiency
- Concluding thoughts
- Subject matter expertise
- Concluding thoughts
- Data behavior in different business units
- Data behavior in marketing
- Data behavior in sales
- Data behavior in finance and accounting
- Data behavior in operations
- Data behavior in human resources
- Data behavior in academia
- Analytical thinking and problem-solving techniques
- Problem-solving
- Leveraging online tools for problem-solving
- Web (Google) search
- Stack Overflow
- AI chatbots (ChatGPT/Bard)
- Summary
- Chapter 7: Business Intelligence Education
- Academic programs, training courses, certifications, and books
- Academic programs
- Training courses and certificates
- Data architecture books
- Data modeling books
- Data analysis and visualization books
- Summary
- Chapter 8: Beyond Business Intelligence
- Business analytics
- Cross-pillar reporting
- Measuring your BI success
- Executive briefing books
- Customer-focused processes
- Automation
- BA final thoughts
- Data science
- Data exploration
- Summary.
- Chapter 9: Hands-On Data Wrangling and Data Visualization
- Technical requirements
- Data analysis using Python
- Data wrangling and visualization with Python
- Step 1 - loading the dataset
- Step 2 - an initial exploration of the dataset
- Step 3 - remove duplicate rows
- Step 4 - cleaning and transforming data
- Step 5 - saving the cleaned dataset
- Step 6 - load the cleaned dataset
- Step 7 - creating visualizations to summarize the data
- Tableau for data visualization
- Tableau dashboard hands-on
- Summary
- Conclusion
- Index
- About Packt
- Other Books You May Enjoy.
