Business Intelligence and Analytics Principles and Practices: Charting the Course to BI and Analytic Success, Germany

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Business analytics and intelligence architecture is a set of frameworks to organize the data, management and technical components used to build BI systems and analytical capabilities. Architecture plays an important role in business analytics and intelligence programs and projects, ensuring that the development efforts of multiple projects and teams fit together to form a cohesive and valuable whole. Comprehensive architecture addresses business purposes, organizational structure and roles/responsibilities, integrated information resources, various types of key processes and a wide array of technology components.

There is no prerequisites for this course.

Business, data, integration and technology architects involved in business analytics and intelligence programs
Business Analytics and Intelligence program and project managers that need a basic understanding of the fundamental components of successful analytics and BI programs
Business Analytics and Intelligence team members that need a better understanding of the big picture of the systems they work with

The full scope of architectural objectives – structural integrity, standardization, reusability, environmental fit, esthetics, and sustainability
A framework to ensure overall architectural completeness and success - business purpose, organization, integrated information, process and technology platforms
A framework to organize business components - performance, stakeholders, processes, rules and information
A framework to organize the organization - people, purpose, process and structure
A framework to organize information components and capabilities- collection, storage, operational data integration, data warehousing, big data integration, distribution/access/applications and data modeling/metadata management
A framework to organize the processes associated with business analytics and intelligence - methdologies, data governance, data modeling/metadata management, data flow, business processes and operations/support
A framework to organize technology platform components - servers, data sourcing, databases, storage, data integration, business analytics and data management

Module 1 - BI and Analytics—Then and Now

Definitions
- Data Warehousing
- Business Intelligence
- Business Analytics
Evolution
- Achieving Business goals
- Emphasis
Components
- People and Applications
- Systems and Processes
- Data and Technology
Perspectives
- Points of View
Program Orientation
- BI and Analytics Lifecycle
- Evolving Environment
- Parallel Paths
Assessment
- Purpose and Approach
- Maturity Models
Roadmap
- Continuous Planning
Mistakes to Avoid
- When Validating Direction
- When Delivering Business-Driven BI
Summary and Discussion
- Key Points
- Discussion

Module 2 - Supporting the Organization

BI and Analytics Stages
- Purpose
Descriptive BI and Analytics
- Definitions and Benefits
- Query Services
- Data Feeds and Downloads
- On-Demand Reporting
- Scheduled Reporting
- Basic Data Visualization
Diagnostic BI and Analytics
- Definition and Benefits
- Online Analytical Processing
- Dimensional Data Marts and Star Schema
- The OLAP Cube
- Performance Management: Definitions and Concepts
- Performance Management
- Scorecards and Dashboards
- Continuum
- Casual Analysis
- Analysis Types
Discovery BI and Analytics
- Definitions and Benefits
- Analytic Modeling
- Advanced Data Visualization
- Data Mining
- Geospatial Analytics
- Text Analytics
- Storytelling
Predictive BI and Analytics
- Definition and Benefits
- Forecasting and Prediction
Prescriptive BI and Analytics
- Definitions and Benefits
- Simulation and Optimization
- Decision Management
Roadmap
- Expanding Your Roadmap
Mistakes to Avoid
- In Predictive Analytics Efforts
- In Data Storytelling
Summary and Discussion
- Key Points
- Discussion

Module 3 - Architecture and Methodology

Data Integration Architecture
- Integration Strategy
- The Purpose of Architecture
- Architecture and Data
- Components and Structures
- Integration Techniques and Technologies
Data Types
- Data Properties
- Data Characteristics
- Data Structure
- Big Data Defined
- Big Data Sources
- Big Data Characteristics
- Physical Storage
Ecosystem
- Building Blocks
- Traditional Architecture
- Data Lakes
- Analytics Sandboxes
- Expanded Architecture
Data Warehouse Implementation
- Agile Development
- Data Warehouse Automation
- What Can You Automate?
- Data Warehouse Operation
- Components
Evolution
- Project Selection
Roadmap
- Expanding Your Roadmap
Mistakes to Avoid
- When Using Data Federation
- In Your Big Data Implementation
Summary and Discussion
- Key Points
- Discussion

Module 4 - Data Management

Data Governance
- Data Governance Concepts
- Data Governance Roles and Responsibilities
- Data Stewardship
Data Quality
- Data Quality Concepts
- Data Quality Assessment
- Data Quality Improvement
Data Profiling
- Purpose and Processes
- Profiling Techniques
- Analyzing Data Profiles
- Tools and Technology
- Application
Roadmap
- Continuous Planning
Mistakes to Avoid
- When Creating Your Data Strategy
- When Building a Data Quality Program
Summary and Discussion
- Key Points
- Discussion

Module 5 - BI Technology

The Technology Stack
Technology Layers
- Functions and Services
Technology Architecture
- The Right Technology-Present and Future
- Technology Management
- Reliable Platforms
Roadmap
- Continuous Planning
Mistakes to Avoid
- When Adopting New Technologies in BI
- In Hadoop Implementations
Summary and Discussion
- Key Points
- Discussion

Module 6 – Summary

Summary
- Key Points

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Business Intelligence and Analytics Principles and Practices: Charting the Course to BI and Analytic Success Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.

Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.

Business Intelligence and Analytics Principles and Practices: Charting the Course to BI and Analytic Success Training in Germany

Upcoming Trainings

Business Intelligence and Analytics Principles and Practices: Charting the Course to BI and Analytic Success Training in Germany

Prerequisites

Who Should Attend

What You Will Learn

Outline

BUSINESS INTELLIGENCE TERMS: A TO Z GLOSSARY

Upcoming Trainings