Essential Skills for BI and Analytics Professionals, Republic of the Philippines

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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 in Republic of the Philippines

Upcoming Trainings

Essential Skills for BI and Analytics Professionals Training in Republic of the Philippines

Prerequisites

Who Should Attend

What You Will Learn

Outline

Upcoming Trainings