The business dimensional life cycle. Summarized from the second chapter of 'The Data Warehouse Lifecyle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses' by Ralph Kimball
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball ApproachMark Ginnebaugh
Data Warehouse - Business Intelligence Lifecycle Overview by Warren Thronthwaite
This slide deck describes the Kimball approach from the best-selling Data Warehouse Toolkit, 2nd Edition. It was presented to the Bay Area Microsoft Business Intelligence User Group in October 2012.
Starting with business requirements and project definition, the lifecycle branches out into three tracks: Technical, Data and Applications. You will learn:
* The major steps in the Lifecycle and what needs to happen in each one.
* Why business requirements are so important and how they influence all major decisions across the entire DW/BI system.
* Key tools for prioritizing business requirements and creating an enterprise information framework.
* How to break up a DW/BI system into doable increments that add real business value and can be completed in a reasonable time frame.
Microsoft Data Warehouse Business Intelligence Lifecycle - The Kimball ApproachMark Ginnebaugh
Data Warehouse - Business Intelligence Lifecycle Overview by Warren Thronthwaite
This slide deck describes the Kimball approach from the best-selling Data Warehouse Toolkit, 2nd Edition. It was presented to the Bay Area Microsoft Business Intelligence User Group in October 2012.
Starting with business requirements and project definition, the lifecycle branches out into three tracks: Technical, Data and Applications. You will learn:
* The major steps in the Lifecycle and what needs to happen in each one.
* Why business requirements are so important and how they influence all major decisions across the entire DW/BI system.
* Key tools for prioritizing business requirements and creating an enterprise information framework.
* How to break up a DW/BI system into doable increments that add real business value and can be completed in a reasonable time frame.
Data Vault Modeling and Methodology introduction that I provided to a Montreal event in September 2011. It covers an introduction and overview of the Data Vault components for Business Intelligence and Data Warehousing. I am Dan Linstedt, the author and inventor of Data Vault Modeling and methodology.
If you use the images anywhere in your presentations, please credit http://LearnDataVault.com as the source (me).
Thank-you kindly,
Daniel Linstedt
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricCambridge Semantics
Watch this webinar to learn about the benefits of using semantic and graph database technology to create a Data Catalog of all of an enterprise's data, regardless of source or format, as part of a modern IT or data management stack and an important step toward building an Enterprise Data Fabric.
Asegurando la calidad del dato en mi entorno de business intelligenceMary Arcia
El aseguramiento de la calidad de datos es el proceso que más demanda tiempo, gente y dinero dentro de nuestros proyectos de BI. Entendiendo el efecto clave en el proceso de la toma de decisiones que genera el” business intelligence”, no puede tratarse la calidad de los datos como un proceso tardío. En esta sesión vamos a conocer cómo tras una metodología de calidad de datos, los servicios de Data Quality Services de Microsoft SQL Server nos ayuda en este proceso de ahorrar tiempo y garantizar datos sanos y correctos para nuestros sistemas de BI.
Get an overview of Dataflows and how it integrates data lake and ETL technology directly into Power BI to enable anyone with Power Query skills.
Before diving into details we will go through the architecture and demonstrate the bigger picture for Dataflows in Power BI.
We will go through how you can create, customize and manage data within the Power BI experience in a simpler way. Part of this will also be to go through Common Data Models which contains the business entities across your organisation.
This will help your organisation simplifying modeling and is intended to prevent multiple definition for the same data.
Modern Business Intelligence - Design and ImplementationsDavid J Rosenthal
During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.
While this approach still applies to complex business intelligence needs, today there is a new “wave.” This third wave of BI makes BI available to every kind of user.
As customer strive to take advantage of the digital transformation that is occurring in virtually every industry, they need to re-evaluate how they engage with their customers/prospects, how they transform their products and operations, and how they empower and understand their employees.
In today’s world, doing each of these things is more and more reliant upon data…traditionally, everything you knew about your customers and prospects was available in your business application systems and in the heads of employees. You learned almost everything about your products BEFORE they left your warehouse. Employees used technology more to enter data than to learn from it.
In the data-driven world we live in today, leveraging intelligent insights from data across customers, products, and employees is critical to be able to stay competitive and keep up with or lead digital transformation in any industry. And this isn’t just a customer’s typical business application data – it’s also about augmenting the customer’s data with additional data (e.g. search, employee behavioral data, sentiment data, benchmark data, etc..) – and applying the right intelligence to drive meaningful insights.
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Denodo
This first session in a series of six ‘Packed Lunch’ webinars provides an overview of Data Virtualization technology, its applications and how it is adding business value to organizations around the world.
More information and FREE registrations to this webinar: http://goo.gl/z7mq2S
Landing page for the entire Packed Lunch webinar series: http://goo.gl/NATMHw
Attend & get unique insights into:
What Data Virtualization is and what sets it apart from traditional integration tools
How it both complements and leverages existing enterprise architectures
The Denodo Data Virtualization platform and its capabilities
SSAS, MDX , Cube understanding, Browsing and Tools information Vishal Pawar
Why we need SSAS Cube
What is SSAS Cube
Way to access Cube
What is Dimension and Attributes
QHP Dimension and Attributes
Process Flow and QHP Cube Browsing
MDX Basics
MDX Tools
Comparison of Queries Written in T-SQL and MDX with Construct
MDX –How to add where condition
Data Warehousing is a data architecture that separates reporting and analytics needs from operational transaction systems. This presentation is an introduction into traditional data warehousing architectures and how to determine if your environment requires a data warehouse.
Data Vault Modeling and Methodology introduction that I provided to a Montreal event in September 2011. It covers an introduction and overview of the Data Vault components for Business Intelligence and Data Warehousing. I am Dan Linstedt, the author and inventor of Data Vault Modeling and methodology.
If you use the images anywhere in your presentations, please credit http://LearnDataVault.com as the source (me).
Thank-you kindly,
Daniel Linstedt
Using a Semantic and Graph-based Data Catalog in a Modern Data FabricCambridge Semantics
Watch this webinar to learn about the benefits of using semantic and graph database technology to create a Data Catalog of all of an enterprise's data, regardless of source or format, as part of a modern IT or data management stack and an important step toward building an Enterprise Data Fabric.
Asegurando la calidad del dato en mi entorno de business intelligenceMary Arcia
El aseguramiento de la calidad de datos es el proceso que más demanda tiempo, gente y dinero dentro de nuestros proyectos de BI. Entendiendo el efecto clave en el proceso de la toma de decisiones que genera el” business intelligence”, no puede tratarse la calidad de los datos como un proceso tardío. En esta sesión vamos a conocer cómo tras una metodología de calidad de datos, los servicios de Data Quality Services de Microsoft SQL Server nos ayuda en este proceso de ahorrar tiempo y garantizar datos sanos y correctos para nuestros sistemas de BI.
Get an overview of Dataflows and how it integrates data lake and ETL technology directly into Power BI to enable anyone with Power Query skills.
Before diving into details we will go through the architecture and demonstrate the bigger picture for Dataflows in Power BI.
We will go through how you can create, customize and manage data within the Power BI experience in a simpler way. Part of this will also be to go through Common Data Models which contains the business entities across your organisation.
This will help your organisation simplifying modeling and is intended to prevent multiple definition for the same data.
Modern Business Intelligence - Design and ImplementationsDavid J Rosenthal
During the first two “waves” of business intelligence, IT professionals and business analysts were the keepers of BI. They made BI accessible and consumable for end users.
While this approach still applies to complex business intelligence needs, today there is a new “wave.” This third wave of BI makes BI available to every kind of user.
As customer strive to take advantage of the digital transformation that is occurring in virtually every industry, they need to re-evaluate how they engage with their customers/prospects, how they transform their products and operations, and how they empower and understand their employees.
In today’s world, doing each of these things is more and more reliant upon data…traditionally, everything you knew about your customers and prospects was available in your business application systems and in the heads of employees. You learned almost everything about your products BEFORE they left your warehouse. Employees used technology more to enter data than to learn from it.
In the data-driven world we live in today, leveraging intelligent insights from data across customers, products, and employees is critical to be able to stay competitive and keep up with or lead digital transformation in any industry. And this isn’t just a customer’s typical business application data – it’s also about augmenting the customer’s data with additional data (e.g. search, employee behavioral data, sentiment data, benchmark data, etc..) – and applying the right intelligence to drive meaningful insights.
Introduction to Data Virtualization (session 1 from Packed Lunch Webinar Series)Denodo
This first session in a series of six ‘Packed Lunch’ webinars provides an overview of Data Virtualization technology, its applications and how it is adding business value to organizations around the world.
More information and FREE registrations to this webinar: http://goo.gl/z7mq2S
Landing page for the entire Packed Lunch webinar series: http://goo.gl/NATMHw
Attend & get unique insights into:
What Data Virtualization is and what sets it apart from traditional integration tools
How it both complements and leverages existing enterprise architectures
The Denodo Data Virtualization platform and its capabilities
SSAS, MDX , Cube understanding, Browsing and Tools information Vishal Pawar
Why we need SSAS Cube
What is SSAS Cube
Way to access Cube
What is Dimension and Attributes
QHP Dimension and Attributes
Process Flow and QHP Cube Browsing
MDX Basics
MDX Tools
Comparison of Queries Written in T-SQL and MDX with Construct
MDX –How to add where condition
Data Warehousing is a data architecture that separates reporting and analytics needs from operational transaction systems. This presentation is an introduction into traditional data warehousing architectures and how to determine if your environment requires a data warehouse.
aThe GRT DWBI Development Approach is a comprehensive approach t.pdfanandinternational01
a:
The GRT DW/BI Development Approach is a comprehensive approach to the design,
development, and implementation of data warehouse solutions. It is based on input from several
sources and from the direct experience of the GRT Consulting. The GRT DW/BI Development
Approach has evolved to be responsive to the dynamic nature of this business area. It is the
synthesis of a detailed methodology for developing data warehouses and a methodology for
doing so on an incremental basis.
This generates early value for the business during the implementation process while ensuring the
quality of the overall implementation effort. The foundation is the set of Data Warehouse
Development Processes, which are summarized immediately below. An overview of The
Incremental Approach and then of the resulting GRT DW/BI Development Approach itself
follow that discussion.
b:
The sections below provide perspective on each of the critical processes in a data warehouse
development effort. In addition to the details discussed in each section, numerous control
mechanisms and management techniques to facilitate the success of the overall project support
each process.
primary responsibilities: DATA QUALITY , WAREHOUSE
ADMINISTRATION,METADATA MANAGEMENT,DATA ACCESS,DATABASE DESIGN
AND BUILD,TESTING,TRAINING ,TRANSITION ,and POST-IMPLEMENTATION.
c: The Business Requirements Definition process defines the requirements, clarifies the scope,
and establishes the implementation roadmap for the data warehouse. With the direction of the
client organization, strategic business goals and initiatives are established and used to direct the
strategies, purpose and goals for each phase of the data warehouse solution.
Definition focuses on determining the specifics of the solution to be developed and delivered,
identifying the client’s information needs, and modeling the requirements.
The objective of the Data Acquisition process is to identify, extract, transform, and transport the
various source data necessary for the operation of the data warehouse. Data Acquisition is
performed between several components of the warehouse, including operational and external
data sources to data warehouse, data warehouse to data mart, and data mart to individual marts.
The Data Acquisition Strategy is also developed to outline the approach for extraction,
transformation, and transportation of the source data to the data warehouse. The strategy includes
selecting a tool or set of tools as the data pump or defining the specifications of one that must be
built. If tools are to be utilized, high-level tool requirements, tool evaluations, and tool
recommendations are also addressed.
. Detailed analysis is performed on the data sources and a mapping is created between the current
state of the source data and the new set of objects that define the data warehouse. With the
mapping, a gap analysis is produced to validate that the information requirements can be met
with the available data. With the detailed analysi.
Designing a Framework to Standardize Data Warehouse Development Process for E...ijdms
Data warehousing solutions work as information base for large organizations to support their decision
making tasks. With the proven need of such solutions in current times, it is crucial to effectively design,
implement and utilize these solutions. Data warehouse (DW) implementation has been a challenge for the
organizations and the success rate of its implementation has been very low. To address these problems, we
have proposed a framework for developing effective data warehousing solutions. The framework is
primarily based on procedural aspect of data warehouse development and aims to standardize its process.
We first identified its components and then worked on them in depth to come up with the framework for
effective implementation of data warehousing projects. To verify effectiveness of the designed framework,
we worked on National Rural Health Mission (NRHM) project of Indian government and designed data
warehousing solution using the proposed framework.
KEYWORDS
Data warehousing, Framework Design, Dimensional
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
These slides provide tips & techniques how to start running for and preparation for long distance race. I prepare it during the preparation for Bangkok Marathon 2012 within my organization. Feel free to drop any questions you may have. I deliberately removed the details training plan for full marathon - that's better in spreadsheet format.
Introduction to Data Warehouse. Summarized from the first chapter of 'The Data Warehouse Lifecyle Toolkit : Expert Methods for Designing, Developing, and Deploying Data Warehouses' by Ralph Kimball
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
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As a business owner in Delaware, staying on top of your tax obligations is paramount, especially with the annual deadline for Delaware Franchise Tax looming on March 1. One such obligation is the annual Delaware Franchise Tax, which serves as a crucial requirement for maintaining your company’s legal standing within the state. While the prospect of handling tax matters may seem daunting, rest assured that the process can be straightforward with the right guidance. In this comprehensive guide, we’ll walk you through the steps of filing your Delaware Franchise Tax and provide insights to help you navigate the process effectively.
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.