Business intelligence & OEE
Explore our comprehensive course on Business Intelligence and OEE. Learn about key concepts, roles, ETL/ELT processes, Data Warehousing, OLTP vs OLAP, data modeling, and real-world case studies. Ideal for enhancing your data analysis skills and optimizing operational efficiency. Enroll now to transform your business insights!
Course description
The advanced course on Business Intelligence and OEE is designed to enhance skills in data analysis. It provides an in-depth understanding of Analytics as a tool for business optimization and the relationship between Business Intelligence and digital transformation.
Through case studies and practical examples, participants will acquire the necessary skills to transform data into strategic decisions, improving operational efficiency and business results. This course is ideal for those who wish to deepen their knowledge in Business Intelligence and optimize business operations through the use of advanced tools and practices
Main topics:
- Businesss intelligence
- Definition and context of use
- Evolution
- Implementation concepts
- Costs and Challenges
- Advantages and best practices
- Overall Equipment Effectiveness
- Description and contextualization of the indicator
- Case Studies and Application Advice
Who is the course for?
Job opportunities and roles that benefit from this course
After-sales
- After sales inspector
Design
- Electrical sw designer
- Electrical hm designer
Sales
- Project manager
- Marketing officer
- After sales assistant
Staff
- Management personnel responsible
Production
- Workshop technician
Course goals
Business optimization
Understand the topic of Analytics as a business and production optimization tool
Digital transformation
Provide an overview of the relationship between Business Intelligence and the world of digital transformation
Key concepts
Transmit the key concepts of the business intelligence implementation process by defining application changes and scenarios
OEE use cases
Experience a real case of monitoring the Overall Equipment Effectiveness (OEE) of an industrial plant
This course includes
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Examples of real business cases
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Course completion certificate
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Downloadable in-depth content
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Help desk support
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Access from mobile and tablet
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Comprehensive monitoring of educational progress
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Skills assessment test (mandatory)
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Intermediate assessment tests (optional)
Course completion certificate
After completing the course it is possible to obtain a downloadable certificate to display as evidence of the skills achieved. The certification can be combined according to company needs.
Course's lecturer
Tiziana Gallerani
- Application Consultant
- Business Analytics solution architect
- ERP Consultant
Course's contents
- Definition: Explains what Business Intelligence (BI) is and its role in improving business performance. Objectives: Outlines the main goals of BI, such as optimization and decision-making support.
- Evolution: Describes the historical development of BI and its growing impact on modern businesses. Users: Identifies the different types of users of BI systems, from managers to analysts.
- Costs: Discusses the expenses associated with implementing and managing BI solutions.
- Challenges: Analyzes common difficulties, such as managing unstructured data and internal adoption.
- Process: Describes the main phases of implementing a BI system, from data extraction to presentation.
- Benefits and best practices: Highlights the main benefits of BI and the optimal practices for effective usage.
- Introduction to the fundamental concepts of BI, including the technologies and methodologies used to gather and analyze business data.
- ETL/ELT: Explains the process of extracting, transforming, and loading data for analysis.
- Data Warehouse: Describes the data storage system used for BI analysis and decision-making support.
- OLTP vs OLAP: Compares transactional systems with analytical systems, highlighting the differences in usage and architecture.
- Data Modeling: Describes the process of organizing and representing data for analysis.
- Data extraction, analysis, and reporting: Discusses how data is extracted and transformed into useful business reports and analyses.
- Power BI: Presents the use of Microsoft Power BI for business data analysis and performance monitoring.
- OEE (Overall Equipment Effectiveness): Describes how OEE is used to measure the efficiency of production equipment.
- IIoT (Industrial Internet of Things): Explains how interconnected devices improve production and operational efficiency through real-time data collection and analysis.
- OEE Overall Equipment Effectiveness
- Industrial Internet of Things (IIoT): a4Sentinel e Control Room
Entry requirements
Access to any browser
PC / Tablet / Smartphone device
Internet connection
Connected Machine Area
Discover the training courses designed specifically for the roles involved in the management of projects based on Connected Machines for the improvement of production plants and processes.
| After-sales | AI & Machine Learning | Cloud Computing | Business intelligence & OEE | Big Data & Data Governance | Information Security | Internet of Things (IoT) | Service Management |
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Production
Discover our customised training courses for the production and manufacturing area, designed to improve your operational skills. Tailor-made solutions for every professional level and sector.
| Production | AI & Machine Learning | Service Management | Business intelligence & OEE |
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