Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
During the June 2010 quarterly meeting of the Tennessee Board of Regents, board members approved an implementation plan recommended by the National Center for Higher Education Management Systems (NCHEMS) that called for the creation of a data warehouse to be used to enhance decision-making at both the system and campus levels. The strategy now referred to as the “Common Data Repository” (CDR) is to create a single authoritative data warehouse where data from institutions will automatically be fed into the CDR from their Banner administrative systems be they hosted or located at the campus. The presentation provided an overview of the project as to its strategic purpose, how the technology will work, and the role that the functional users will play (including governance).
I HOPE IT IS HELPFUL FOR YOU> BUT PLS IWANT CREDITS> OR ADD ME AND MESSAGE ME THANKS
THERE IS A NOTE FOR PRESENTERS VIEW
HAVE A GOOD DAY
KEEP CALM AND DRINK ON
NAME: Ellen Magalona
GNDR: FML
BRTHDY: FEB. 1998
@ellenmaaee
During the June 2010 quarterly meeting of the Tennessee Board of Regents, board members approved an implementation plan recommended by the National Center for Higher Education Management Systems (NCHEMS) that called for the creation of a data warehouse to be used to enhance decision-making at both the system and campus levels. The strategy now referred to as the “Common Data Repository” (CDR) is to create a single authoritative data warehouse where data from institutions will automatically be fed into the CDR from their Banner administrative systems be they hosted or located at the campus. The presentation provided an overview of the project as to its strategic purpose, how the technology will work, and the role that the functional users will play (including governance).
I HOPE IT IS HELPFUL FOR YOU> BUT PLS IWANT CREDITS> OR ADD ME AND MESSAGE ME THANKS
THERE IS A NOTE FOR PRESENTERS VIEW
HAVE A GOOD DAY
KEEP CALM AND DRINK ON
NAME: Ellen Magalona
GNDR: FML
BRTHDY: FEB. 1998
@ellenmaaee
Facility PlanningFacility Planning and DesignUsed .docxssuser454af01
Facility Planning
Facility Planning and Design
Used with permission: Dr. David Porter
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
2
Presentation Outline
—Introduction to
§ Facilities Planning
§ Facilities Layout
—Generating layout alternatives with
§ Systematic Layout Planning (SLP)
§ Computerized Relative Allocation of Facilities Technique
(CRAFT)
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
3
Facilities Planning
— Facilities planning determines how an activity’s tangible fixed assets
best support achieving the activity's objectives
— Facilities Planning Viewpoints
§ Civil Engineering
§ Electrical/Mechanical Engineering
§ Architectural
§ Construction Management/Contractor
§ Real Estate
§ Urban Planning
§ Industrial Engineering (IE)
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
4
IE Viewpoint of Facilities Planning
— Industrial Engineers focus on
§ Requirements
§ Resource allocation, and
§ Efficient use of resources
— Facilities are the integration of many lower level systems
§ Space requirements with respect to flow and operations control
§ Personnel & Equipment Requirements
§ System design/layout with respect to flow and operations control
§ The use of information systems and technology to increase
effectiveness
§ Movement within a facility and between facilities (i.e., location)
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
5
Example of a Manufacturing Facility
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
6
From an IE Viewpoint
— Why is the equipment in this facility located as shown?
— Why are they arranged as shown?
— Why are there so many duplicated items?
— Why is the facility so large or small?
— How many people will be working in the facility?
— Does this design meet requirements?
— etc.
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
7
IE Approaches
— Industrial Engineers develop models to understand, design and
validate systems
§ Procedures
• e.g., Systematic Layout Planning (SLP)
§ Analytical models
• e.g., machine fraction equations, queuing models
§ Analytical layout models/software
§ Computer simulations
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
8
Elements of Facilities Planning
Facilities
Planning
Facilities
Location
Facilities
Design
Facilities
Systems
Production
System
Design
Layout
Design
Handling/Storage
Systems
Design
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
9
Facilities Layout
— Facilities layout is a design activity and as such there is often a lot of
art (i.e., experience) and application-specific knowledge that must be
utilized when developing a layout
§ Grocery store layout vs. department store lay ...
In this advanced business analysis training session, you will learn SDLC methodologies. Topics covered in this session are:
• Agile methodology
• Scrum methodology
• Rational Unified Process
• Rapid Prototyping
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
Check out our last webinar to learn more about managing the parallel and interconnected lifecycles of hardware, software and service development involved in the creation of IoT-enabled products. During a live demonstration, this webinar will give you a chance to learn how codeBeamer ALM helps you connect and manage these lifecycles (xLM) simultaneously to maximize efficiency.
CAPS define the key aspects of safety-critical elements (SCEs), including equipment, procedures, personnel, inspections and verification necessary to preserve the integrity of the control measures that reduce the risk of a catastrophic major accident event (MAE).The process involves developing CAPS for integration into a Safety and Environmental Management System (SEMS) as part of an overall Risk-Based Asset Management strategy that provides regulatory compliance and system reliability.
COMIT / Fiatech Conference 2014, The Crystal, London
Efficiency Through Digital Projects
Presented by Ray Topping from Fiatech. This project when launched attracted a great deal of interest from across the capital projects world. This project is being led by Shell.
Integrated Materials Management.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Facility PlanningFacility Planning and DesignUsed .docxssuser454af01
Facility Planning
Facility Planning and Design
Used with permission: Dr. David Porter
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
2
Presentation Outline
—Introduction to
§ Facilities Planning
§ Facilities Layout
—Generating layout alternatives with
§ Systematic Layout Planning (SLP)
§ Computerized Relative Allocation of Facilities Technique
(CRAFT)
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
3
Facilities Planning
— Facilities planning determines how an activity’s tangible fixed assets
best support achieving the activity's objectives
— Facilities Planning Viewpoints
§ Civil Engineering
§ Electrical/Mechanical Engineering
§ Architectural
§ Construction Management/Contractor
§ Real Estate
§ Urban Planning
§ Industrial Engineering (IE)
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
4
IE Viewpoint of Facilities Planning
— Industrial Engineers focus on
§ Requirements
§ Resource allocation, and
§ Efficient use of resources
— Facilities are the integration of many lower level systems
§ Space requirements with respect to flow and operations control
§ Personnel & Equipment Requirements
§ System design/layout with respect to flow and operations control
§ The use of information systems and technology to increase
effectiveness
§ Movement within a facility and between facilities (i.e., location)
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
5
Example of a Manufacturing Facility
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
6
From an IE Viewpoint
— Why is the equipment in this facility located as shown?
— Why are they arranged as shown?
— Why are there so many duplicated items?
— Why is the facility so large or small?
— How many people will be working in the facility?
— Does this design meet requirements?
— etc.
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
7
IE Approaches
— Industrial Engineers develop models to understand, design and
validate systems
§ Procedures
• e.g., Systematic Layout Planning (SLP)
§ Analytical models
• e.g., machine fraction equations, queuing models
§ Analytical layout models/software
§ Computer simulations
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
8
Elements of Facilities Planning
Facilities
Planning
Facilities
Location
Facilities
Design
Facilities
Systems
Production
System
Design
Layout
Design
Handling/Storage
Systems
Design
Data Management &
Analysis Process Management
Planning
ApplicationAnalysis
Reporting
9
Facilities Layout
— Facilities layout is a design activity and as such there is often a lot of
art (i.e., experience) and application-specific knowledge that must be
utilized when developing a layout
§ Grocery store layout vs. department store lay ...
In this advanced business analysis training session, you will learn SDLC methodologies. Topics covered in this session are:
• Agile methodology
• Scrum methodology
• Rational Unified Process
• Rapid Prototyping
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
Check out our last webinar to learn more about managing the parallel and interconnected lifecycles of hardware, software and service development involved in the creation of IoT-enabled products. During a live demonstration, this webinar will give you a chance to learn how codeBeamer ALM helps you connect and manage these lifecycles (xLM) simultaneously to maximize efficiency.
CAPS define the key aspects of safety-critical elements (SCEs), including equipment, procedures, personnel, inspections and verification necessary to preserve the integrity of the control measures that reduce the risk of a catastrophic major accident event (MAE).The process involves developing CAPS for integration into a Safety and Environmental Management System (SEMS) as part of an overall Risk-Based Asset Management strategy that provides regulatory compliance and system reliability.
COMIT / Fiatech Conference 2014, The Crystal, London
Efficiency Through Digital Projects
Presented by Ray Topping from Fiatech. This project when launched attracted a great deal of interest from across the capital projects world. This project is being led by Shell.
Integrated Materials Management.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Data Warehousing and Business Intelligence is one of the hottest skills today, and is the cornerstone for reporting, data science, and analytics. This course teaches the fundamentals with examples plus a project to fully illustrate the concepts.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
1.4 modern child centered education - mahatma gandhi-2.pptx
Intro to Data warehousing lecture 20
1. -
1
Data Warehousing
DWH Implementation: Goal Driven Approach (1)
Ch Anwar ul Hassan (Lecturer)
Department of Computer Science and Software
Engineering
Capital University of Sciences & Technology, Islamabad
Pakistan
anwarchaudary@gmail.com
2. -
2
Kimball’s Approach
Business Dimensional Lifecycle Road map
Data Warehouse (DWH) Lifecycle
Project
Planning
Deployment
Maintenance
and
Growth
Project Management
Business
Requirement
Definition
Analytic
Application
Specification
Analytic
Application
Development
Dimensional
Modeling
Data Staging
Design &
Development
Technical
Architecture
Design
Product
Selection &
Installation
Physical
Design
14. -
14
DWH Lifecycle- Step:2 Requirements Definition
Post Collection
Prioritization
Review & Prioritize findings
Quadrant Technique
Business
Process B
Business
Process D
Business
Process A
Business
Process C
Business
Impact
Feasibility
15. -
15
Kimball’s Approach
Business Dimensional Lifecycle Road map
Data Warehouse (DWH) Lifecycle
Project
Planning
Deployment
Maintenance
and
Growth
Project Management
Business
Requirement
Definition
Analytic
Application
Specification
Analytic
Application
Development
Dimensional
Modeling
Data Staging
Design &
Development
Technical
Architecture
Design
Product
Selection &
Installation
Physical
Design
