TDWI Business Intelligence and Analytics Architecture Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

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.

  • 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 - methodologies, 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 - Business Intelligence and Analytics Architecture Concepts 

  • Architecture Defined
    • What is Architecture?
    • Zachman Framework
    • Why Architecture Matters to Analytics and BI
  • Business Intelligence and Analytics Acrchitecture Defined
    • Architecture Defined
    • BI Defined
    • Business Analytics Defined
    • BI and Analytics Work Together
  • Architecture Framework
    • A Components Framework

Module 2 - Architecting Business Capabilities

  • Business Architecture Concepts
    • Framework for Business Architecture
  • Business Performance
    • Definition and Concepts
    • Performance Management
    • Key Performance Indicators
  • Business Stakeholders
    • Responsibilities, Roles, and Interest
  • Business Processes
    • Process Concepts
  • Business Rules
    • Assertions and Constraints
  • Business Information
    • Information Uses
  • How Business Architecture Fits In
    • Align Investments with Business Goals
    • Business Architecture Purpose

Module 3 - Architecting Organizations

  • Organizational Architecture Concepts
    • Framework for Organizational Architecture
  • Modeling Organizations
    • Organizational Charts
    • Strategic and Tactical Plans
  • People
    • Roles and Capabilities
    • Challenges with BI/BA Teams
  • Purpose
    • From Goals to Results
    • Balancing Centralization with Self-Service
  • Process
    • Action and Information
    • Federated Development and Governance
  • Structure
    • Connecting People
  • How Organizational Architecture Fits In
    • Organizational Fit

Module 4 - Architecting Integrated Information

  • Integrated Information Architecture Concepts
    • Framework for Integrated Information Architecture
  • Modeling Data
    • Levels of Data Modeling
    • Data Structures
    • Data Taxonomy
    • Metadata
  • Collection and Storage
    • Bringing Data into the Business
    • Structures, Locations, Technologies
  • Data Integration
    • Integrating Data Sources
    • Data Integration Hubs
    • DW Architecture Options
    • Hybrid Architectures
    • Extending DW with Virtualization
    • Many Types and Levels of Integration
  • Big Data Environment
    • Data Lakes
    • Analytics Sandboxes
    • Unifying the Enterprise Information Architecture
  • Distribution, Access, and Applications
    • Retrieving Data
    • Data Consumers
  • How Integrated Information Architecture Fits In
    • Integrated Information Fit

Module 5 - Architecting Process

  • Process Architecture Concepts
    • Framework for Process Architecture
    • Generic Definition of Process
  • BI Development
    • Program Management and Iterations
    • SDLC
  • BI Use
    • Data Flow
    • Enterprise and Ad Hoc Reporting
    • OLAP
    • Scorecards and Dashboards
    • BI Used Within Business Processes
  • BI Operations
    • Supporting Data Integration
    • Running Production BI Systems
  • Analytics Development
    • CRISP-DM
    • Ad Hoc or Program
    • Schema-on-Read Versus Schema-on-Write
    • Data Visualization
  • Analytics Use
    • Learning about Our Business
  • Analytics Operations
    • Supporting Business Analytics
  • Data Governance
    • Data Governance Defined
    • Data Stewardship and Curation
    • Data Quality Management
  • How Process Architecture Fits In
    • Process Fit

Module 6 - Architecting Technology Platforms

  • Technology Architecture Concepts
    • Business Intelligence and Analytics Technology Stack
  • Modeling Technology Platforms
    • Networks and Servers
    • Vendor-Centric Versus Best of Breed
  • Servers
    • Many Options
  • Data Sources
    • Batch, Event, Streaming
  • Databases and Storage
    • RDBMS, Hadoop, Nonrelational
    • Direct Attached, Solid State, SAN, Cloud Storage
  • Integration
    • Integration Tools
  • Business Analytics Technology
    • A Variety of Tools
    • Data Preparation, Discovery, Blending
  • Business Intelligence Technology
    • Variety of BI Tools
  • Data Visualization
    • Presenting Compelling Data Stories
  • Data Management
    • Profiling, Quality, Metadata, Governance
  • How Technology Architecture Fits In
  • Technology Fit

Module 7 - Summary and Conclusion

  • Tying It All Together
    • Harmonizing the Viewpoints


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
21 Juni 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
21 Juni 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
12 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
03 August 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
03 August 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
04 September 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
02 September 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
09 September 2024
Berlin, Hamburg, Münih
1 Day
TDWI Business Intelligence and Analytics Architecture 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.
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