Essential Skills for BI and Analytics Professionals, Norway

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Every organization, both private and public sector, is challenged today to turn data into information and information into impact. This is the age of analytics and data-driven business, but the path from data to value can be complex. The right competencies to acquire, integrate, analyze, and act upon data are essential survival skills.

Everyone who works in the field of BI and analytics, regardless of their role, needs to have a broad understanding of the many connected and interdependent parts of a complex information ecosystem. Business and technical success with BI and analytics requires continuity among all of the components from initial data acquisition to ultimate business impact and vertical cohesion of architectures, technologies, processes, and organizations. Teams are most successful in BI and analytics when they share common understanding and terminology, and when each team member has an understanding of and appreciation for the roles and contributions of all other team members. The Essential Skills for BI and Analytics Professionals Skills workshop is designed to do just that with three days of in-depth, interactive training.

There are no prerequisites for this course.

Everyone working in the field of BI and analytics who needs a strong foundation
BI and analytics teams that benefit by understanding the roles, responsibilities, and contributions of every team member

Dimensions, concepts, and practices of modern business intelligence
Data management and data integration techniques as the foundation of BI and analytics
Techniques to turn data into meaningful measures, metrics, and KPIs
Dashboard and scorecard design and development techniques
How analytics is applied for data-driven discovery, diagnosis, and prediction
How big data is changing the shape of the industry

1.1 BI and Analytics—Then and Now

Definitions
Evolution
Components
Perspectives
Program Orientation

1.2 Supporting the Organization

BI and Analytics Stages
Descriptive BI and Analytics
Diagnostic BI and Analytics
Discovery BI and Analytics
Predictive BI and Analytics
Prescriptive BI and Analytics

1.3 Architecture and Methodology

Data Integration Architecture
Data Types
Ecosystem
Data Warehouse Implementation
Data Warehouse Operation
Evolution

1.4 Data Management

Data Governance
Data Quality
Data Profiling
Roadmap

1.5 BI Technology

The Technology Stack
Technology Architecture
Technology Management

2. Data Integration

2.1 Data Integration Concepts

The Need for Data Integration
The Challenges of Data Integration
Data Integration Architectures
Data Integration Projects

2.2 Requirements Analysis for Data Integration

Integration Requirements Concepts
Source Data Requirements
Data Unification Requirements
Data Aggregation and Summary Requirements
Data Quality Requirements
Data Capture Requirements
Audit, Balance, and Control Requirements
Metadata Capture Requirements
Service Level Requirements

2.3 Data Integration Functional Design

Functional Design Concepts
Source/Target Mapping
Data Capture Design and Specification
Data Transformation Design and Specification
Data Cleansing Design and Specification
Identity and Key Management
Design for Integrated Data Delivery
Data Integration Process Design

2.4 Data Integration Technical Design

Technical Design Concepts
Data Flow Design
Workflow Design
Service Level Design
Process Management Design

3. Performance Management

3.1 Performance Management Concepts

Defining Performance Management
Performance Management Processes
Performance Management Applications

3.2 Business-Aligned Performance Management

The Balanced Scorecard
Strategy Mapping
Performance Indicators

3.3 Scorecards and Dashboards

Performance Scorecards
Performance Dashboards

4. Analytics

4.1 Analytics Concepts

Analytics Defined
Data Analytics and Business Analytics
Why Analytics?
Analytics Processes
Analytics Foundations

4.2 Analytics Architecture

The Big Picture
Data Architecture
Process Architecture
Technology Architecture

4.3 Analytic Modeling

The Roles of Models
Kinds of Models
Problem Modeling
Solution Modeling

4.4 Applied Analytics

Five Kinds of Analytics
Analytics Use Cases

5. Performance Management

5.1 Big Data Concepts

What Is Big Data?
What Is Big Data Analytics?
Big Data Use Cases
Why Big Data Now?
Kinds of Big Data
Sources of Big Data
Working with Big Data

5.2 Big Data Processes

Business Case
Technical Case
Data Sourcing
Data Preparation and Storage
Big Data Analytics
Consumption and Application

5.3 Big Data Architecture

The Role of Architecture
Process Architecture
Analytics Architecture
Technology Architecture
Big Data ... Big Architecture

5.4 Big Data Technology

The Technology Landscape
Infrastructure
Analytics
Data Sources
The Core Technologies: MapReduce
The Core Technologies: Hadoop

Workshop

Working with Your People, Projects, Processes and Data
Choose from the following list of topics for a tailored workshop:(It is recommended that you select two topics for approximately 4.5 hours of
workshop activity.)
Program Planning
BI and Analytics Maturity
Roadmapping
Data Integration
Balanced Scorecard, Strategy Map and KPIs
Scorecard/Dashboard Design
Analytic Modeling (Spreadsheet Engineering Approach)
Big Data Business/Technical Case and Big Data Maturity

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Essential Skills for BI and Analytics Professionals Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.

Essential Skills for BI and Analytics Professionals Training in Norway

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Essential Skills for BI and Analytics Professionals Training in Norway

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