Soumettre la recherche
Mettre en ligne
Retail Data Warehouse
•
Télécharger en tant que PPT, PDF
•
2 j'aime
•
7,133 vues
Peter Campbell
Suivre
Slideshow introducing the SF Goodwill Retail Data Warehouse that I developed in 2003.
Lire moins
Lire la suite
Technologie
Signaler
Partager
Signaler
Partager
1 sur 20
Télécharger maintenant
Recommandé
The document contains an end to end data warehouse design - from SKU procurement to SKU Sale. Additionally, a BI dashboard has been created in Tableau, to mine the warehouse, with SKU as the grain. The data can be aggregated at levels of Supplier/Store/Location/Inventory/Sale Date/Time in Warehouse etc.
Data warehouse implementation design for a Retail business
Data warehouse implementation design for a Retail business
Arsalan Qadri
Implemented Data warehouse on “Retail Stores of five states of USA” by using 3 different data sources including structured and unstructured using SSIS, SSAS and Power BI.
Data warehouse project on retail store
Data warehouse project on retail store
Siddharth Chaudhary
Data Warehouse Project
Data Warehouse Project
Sunny U Okoro
Data warehouse concepts
Data warehouse concepts
Data warehouse concepts
obieefans
Data warehouse : Order Management
Data warehouse : Order Management
Data warehouse : Order Management
Kritiya Sangnitidaj
Designing the business process dimensional model
Designing the business process dimensional model
Gersiton Pila Challco
These are the slides from my talk at Data Day Texas 2016 (#ddtx16). The world of data warehousing has changed! With the advent of Big Data, Streaming Data, IoT, and The Cloud, what is a modern data management professional to do? It may seem to be a very different world with different concepts, terms, and techniques. Or is it? Lots of people still talk about having a data warehouse or several data marts across their organization. But what does that really mean today in 2016? How about the Corporate Information Factory (CIF), the Data Vault, an Operational Data Store (ODS), or just star schemas? Where do they fit now (or do they)? And now we have the Extended Data Warehouse (XDW) as well. How do all these things help us bring value and data-based decisions to our organizations? Where do Big Data and the Cloud fit? Is there a coherent architecture we can define? This talk will endeavor to cut through the hype and the buzzword bingo to help you figure out what part of this is helpful. I will discuss what I have seen in the real world (working and not working!) and a bit of where I think we are going and need to go in 2016 and beyond.
Data Warehousing 2016
Data Warehousing 2016
Kent Graziano
Project Presentation on Data WareHouse
Project Presentation on Data WareHouse
Project Presentation on Data WareHouse
Abhi Bhardwaj
Recommandé
The document contains an end to end data warehouse design - from SKU procurement to SKU Sale. Additionally, a BI dashboard has been created in Tableau, to mine the warehouse, with SKU as the grain. The data can be aggregated at levels of Supplier/Store/Location/Inventory/Sale Date/Time in Warehouse etc.
Data warehouse implementation design for a Retail business
Data warehouse implementation design for a Retail business
Arsalan Qadri
Implemented Data warehouse on “Retail Stores of five states of USA” by using 3 different data sources including structured and unstructured using SSIS, SSAS and Power BI.
Data warehouse project on retail store
Data warehouse project on retail store
Siddharth Chaudhary
Data Warehouse Project
Data Warehouse Project
Sunny U Okoro
Data warehouse concepts
Data warehouse concepts
Data warehouse concepts
obieefans
Data warehouse : Order Management
Data warehouse : Order Management
Data warehouse : Order Management
Kritiya Sangnitidaj
Designing the business process dimensional model
Designing the business process dimensional model
Gersiton Pila Challco
These are the slides from my talk at Data Day Texas 2016 (#ddtx16). The world of data warehousing has changed! With the advent of Big Data, Streaming Data, IoT, and The Cloud, what is a modern data management professional to do? It may seem to be a very different world with different concepts, terms, and techniques. Or is it? Lots of people still talk about having a data warehouse or several data marts across their organization. But what does that really mean today in 2016? How about the Corporate Information Factory (CIF), the Data Vault, an Operational Data Store (ODS), or just star schemas? Where do they fit now (or do they)? And now we have the Extended Data Warehouse (XDW) as well. How do all these things help us bring value and data-based decisions to our organizations? Where do Big Data and the Cloud fit? Is there a coherent architecture we can define? This talk will endeavor to cut through the hype and the buzzword bingo to help you figure out what part of this is helpful. I will discuss what I have seen in the real world (working and not working!) and a bit of where I think we are going and need to go in 2016 and beyond.
Data Warehousing 2016
Data Warehousing 2016
Kent Graziano
Project Presentation on Data WareHouse
Project Presentation on Data WareHouse
Project Presentation on Data WareHouse
Abhi Bhardwaj
Basic Introduction of Data Warehousing
Basic Introduction of Data Warehousing from Adiva Consulting
Basic Introduction of Data Warehousing from Adiva Consulting
adivasoft
This PPT cover the the topic Dimensional Modeling in data warehousing
Dimensional Modeling
Dimensional Modeling
Sunita Sahu
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse Architecture
James Serra
Data Mart/ Data Warehouse: Dimensional Modeling
Case study: Implementation of dimension table and fact table
Case study: Implementation of dimension table and fact table
chirag patil
Data Modeling within your Business Intelligence Data Warehousing Solution
Data Warehouse Back to Basics: Dimensional Modeling
Data Warehouse Back to Basics: Dimensional Modeling
Dunn Solutions Group
Best practices and tips on how to design and develop a Data Warehouse using Microsoft SQL Server BI products. This presentation describes the inception and full lifecycle of the Carl Zeiss Vision corporate enterprise data warehouse. Technologies covered include: •Using SQL Server 2008 as your data warehouse DB •SSIS as your ETL Tool •SSAS as your data cube Tool You will Learn: •How to Architect a data warehouse system from End-to-End •Components of the data warehouse and functionality •How to Profile data and understand your source systems •Whether to ODS or not to ODS (Determining if a operational Data Store is required) •The staging area of the data warehouse •How to Build the data warehouse – Designing Dimensions and Fact tables •The Importance of using Conformed Dimensions •ETL – Moving data through your data warehouse system •Data Cubes - OLAP •Lessons learned from Zeiss and other projects
Architecting a Data Warehouse: A Case Study
Architecting a Data Warehouse: A Case Study
Mark Ginnebaugh
Data marts,Types of Data Marts,Multidimensional Data Model,Fact table ,Dimension table ,Data Warehouse Schema,Star Schema,Snowflake Schema,Fact-Constellation Schema
Data warehouse logical design
Data warehouse logical design
Er. Nawaraj Bhandari
Know different types of tips about Importance of dataware housing, Data Cleansing and Extracting etc . For more details visit: http://www.skylinecollege.com/business-analytics-course
Data Warehouse Basic Guide
Data Warehouse Basic Guide
thomasmary607
Data Warehousing
Data warehouse
Data warehouse
Ramkrishna bhagat
Data Warehouse Modeling
Data Warehouse Modeling
vivekjv
Dimensional Modelling
Dimensional Modelling
Prithwis Mukerjee
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
Building a modern data warehouse
Building a modern data warehouse
James Serra
This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. It also contains a videos where our instructor has explained the topics in a detailed manner with examples that will help you to understand this concepts better.
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Ed...
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Ed...
Edureka!
Date warehousing concepts
Date warehousing concepts
pcherukumalla
Module 1: Introduction to Data Warehouse & Business Intelligence Module 2: Data Warehouse Architecture Module 3: Warehouse: D & F – Dimension & Fact Tables Module 4: Data Modeling Module 5: Building Data Warehouse with ER Win Module 6: Introduction to Open Source ETL Tool – Talend DI Open Studio 5.x Module 7: Building ETL Project with Talend DI Open Studio 5.x Module 8: Introduction to Data Visualization BI Tool – Tableau 9.x Module 9: Building Data Visualization BI Project With Tableau 9.x Module 10: An Integrated Data Ware Housing & BI Project Which Case-Studies will be a part of data warehousing and business intelligence online training? Learn Data warehousing and business intelligence online training by real time expert. Be a part of live sessions. Data warehousing and business intelligence classes by Expert.
Data warehousing Demo PPTS | Over View | Introduction
Data warehousing Demo PPTS | Over View | Introduction
Kernel Training
Introduction to data warehouse for beginners.
Data warehouse
Data warehouse
Richard Bányi
Data Warehouse concept and Data Mining
Data Warehousing and Data Mining
Data Warehousing and Data Mining
idnats
Introduction to Data Warehousing
Introduction to Data Warehousing
Eyad Manna
Data warehousing data mining, olt, olap, on line analytical processing, on line transaction processing, data warehouse architecture
DATA WAREHOUSING
DATA WAREHOUSING
King Julian
Vertica Analytics Database general overview
Vertica Analytics Database general overview
Vertica Analytics Database general overview
Stratebi
This is a group assignment by my students on Chapter 2 Retail Sales of the book The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling By Ralph Kimball, Margy Ross
Chapter 2 - Retail Sales
Chapter 2 - Retail Sales
Khairul Shafee Kalid
Business intelligence may hold tremendous promise but it can’t answer healthcare’s challenges unless it’s built on the solid foundation of a clinical data warehouse. Learn the definition of business intelligence, why a clinical data warehouse is needed for any healthcare BI strategy, the various options in data warehousing, which one is most effective for hospitals and the industry and why.
Why Your Healthcare Business Intelligence Strategy Can't Win
Why Your Healthcare Business Intelligence Strategy Can't Win
Health Catalyst
Contenu connexe
Tendances
Basic Introduction of Data Warehousing
Basic Introduction of Data Warehousing from Adiva Consulting
Basic Introduction of Data Warehousing from Adiva Consulting
adivasoft
This PPT cover the the topic Dimensional Modeling in data warehousing
Dimensional Modeling
Dimensional Modeling
Sunita Sahu
Why use a data warehouse? What is the best methodology to use when creating a data warehouse? Should I use a normalized or dimensional approach? What is the difference between the Kimball and Inmon methodologies? Does the new Tabular model in SQL Server 2012 change things? What is the difference between a data warehouse and a data mart? Is there hardware that is optimized for a data warehouse? What if I have a ton of data? During this session James will help you to answer these questions.
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse Architecture
James Serra
Data Mart/ Data Warehouse: Dimensional Modeling
Case study: Implementation of dimension table and fact table
Case study: Implementation of dimension table and fact table
chirag patil
Data Modeling within your Business Intelligence Data Warehousing Solution
Data Warehouse Back to Basics: Dimensional Modeling
Data Warehouse Back to Basics: Dimensional Modeling
Dunn Solutions Group
Best practices and tips on how to design and develop a Data Warehouse using Microsoft SQL Server BI products. This presentation describes the inception and full lifecycle of the Carl Zeiss Vision corporate enterprise data warehouse. Technologies covered include: •Using SQL Server 2008 as your data warehouse DB •SSIS as your ETL Tool •SSAS as your data cube Tool You will Learn: •How to Architect a data warehouse system from End-to-End •Components of the data warehouse and functionality •How to Profile data and understand your source systems •Whether to ODS or not to ODS (Determining if a operational Data Store is required) •The staging area of the data warehouse •How to Build the data warehouse – Designing Dimensions and Fact tables •The Importance of using Conformed Dimensions •ETL – Moving data through your data warehouse system •Data Cubes - OLAP •Lessons learned from Zeiss and other projects
Architecting a Data Warehouse: A Case Study
Architecting a Data Warehouse: A Case Study
Mark Ginnebaugh
Data marts,Types of Data Marts,Multidimensional Data Model,Fact table ,Dimension table ,Data Warehouse Schema,Star Schema,Snowflake Schema,Fact-Constellation Schema
Data warehouse logical design
Data warehouse logical design
Er. Nawaraj Bhandari
Know different types of tips about Importance of dataware housing, Data Cleansing and Extracting etc . For more details visit: http://www.skylinecollege.com/business-analytics-course
Data Warehouse Basic Guide
Data Warehouse Basic Guide
thomasmary607
Data Warehousing
Data warehouse
Data warehouse
Ramkrishna bhagat
Data Warehouse Modeling
Data Warehouse Modeling
vivekjv
Dimensional Modelling
Dimensional Modelling
Prithwis Mukerjee
Embarking on building a modern data warehouse in the cloud can be an overwhelming experience due to the sheer number of products that can be used, especially when the use cases for many products overlap others. In this talk I will cover the use cases of many of the Microsoft products that you can use when building a modern data warehouse, broken down into four areas: ingest, store, prep, and model & serve. It’s a complicated story that I will try to simplify, giving blunt opinions of when to use what products and the pros/cons of each.
Building a modern data warehouse
Building a modern data warehouse
James Serra
This Data Warehouse Interview Questions And Answers tutorial will help you prepare for Data Warehouse interviews. It also contains a videos where our instructor has explained the topics in a detailed manner with examples that will help you to understand this concepts better.
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Ed...
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Ed...
Edureka!
Date warehousing concepts
Date warehousing concepts
pcherukumalla
Module 1: Introduction to Data Warehouse & Business Intelligence Module 2: Data Warehouse Architecture Module 3: Warehouse: D & F – Dimension & Fact Tables Module 4: Data Modeling Module 5: Building Data Warehouse with ER Win Module 6: Introduction to Open Source ETL Tool – Talend DI Open Studio 5.x Module 7: Building ETL Project with Talend DI Open Studio 5.x Module 8: Introduction to Data Visualization BI Tool – Tableau 9.x Module 9: Building Data Visualization BI Project With Tableau 9.x Module 10: An Integrated Data Ware Housing & BI Project Which Case-Studies will be a part of data warehousing and business intelligence online training? Learn Data warehousing and business intelligence online training by real time expert. Be a part of live sessions. Data warehousing and business intelligence classes by Expert.
Data warehousing Demo PPTS | Over View | Introduction
Data warehousing Demo PPTS | Over View | Introduction
Kernel Training
Introduction to data warehouse for beginners.
Data warehouse
Data warehouse
Richard Bányi
Data Warehouse concept and Data Mining
Data Warehousing and Data Mining
Data Warehousing and Data Mining
idnats
Introduction to Data Warehousing
Introduction to Data Warehousing
Eyad Manna
Data warehousing data mining, olt, olap, on line analytical processing, on line transaction processing, data warehouse architecture
DATA WAREHOUSING
DATA WAREHOUSING
King Julian
Vertica Analytics Database general overview
Vertica Analytics Database general overview
Vertica Analytics Database general overview
Stratebi
Tendances
(20)
Basic Introduction of Data Warehousing from Adiva Consulting
Basic Introduction of Data Warehousing from Adiva Consulting
Dimensional Modeling
Dimensional Modeling
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse Architecture
Case study: Implementation of dimension table and fact table
Case study: Implementation of dimension table and fact table
Data Warehouse Back to Basics: Dimensional Modeling
Data Warehouse Back to Basics: Dimensional Modeling
Architecting a Data Warehouse: A Case Study
Architecting a Data Warehouse: A Case Study
Data warehouse logical design
Data warehouse logical design
Data Warehouse Basic Guide
Data Warehouse Basic Guide
Data warehouse
Data warehouse
Data Warehouse Modeling
Data Warehouse Modeling
Dimensional Modelling
Dimensional Modelling
Building a modern data warehouse
Building a modern data warehouse
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Ed...
Data Warehouse Interview Questions And Answers | Data Warehouse Tutorial | Ed...
Date warehousing concepts
Date warehousing concepts
Data warehousing Demo PPTS | Over View | Introduction
Data warehousing Demo PPTS | Over View | Introduction
Data warehouse
Data warehouse
Data Warehousing and Data Mining
Data Warehousing and Data Mining
Introduction to Data Warehousing
Introduction to Data Warehousing
DATA WAREHOUSING
DATA WAREHOUSING
Vertica Analytics Database general overview
Vertica Analytics Database general overview
En vedette
This is a group assignment by my students on Chapter 2 Retail Sales of the book The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling By Ralph Kimball, Margy Ross
Chapter 2 - Retail Sales
Chapter 2 - Retail Sales
Khairul Shafee Kalid
Business intelligence may hold tremendous promise but it can’t answer healthcare’s challenges unless it’s built on the solid foundation of a clinical data warehouse. Learn the definition of business intelligence, why a clinical data warehouse is needed for any healthcare BI strategy, the various options in data warehousing, which one is most effective for hospitals and the industry and why.
Why Your Healthcare Business Intelligence Strategy Can't Win
Why Your Healthcare Business Intelligence Strategy Can't Win
Health Catalyst
Business intelligence in retail
Business intelligence in retail
Shweta Jain
What is data mining? Why data mining is required? Data mining Applications Data mining in Retail Industry Marketing Risk Management Fraud Detection Customer Acquisition and Retention
Data Mining in Retail Industries
Data Mining in Retail Industries
Rahul Sinha
Example requirements docuemntation for data warehousing
Sample - Data Warehouse Requirements
Sample - Data Warehouse Requirements
David Walker
A template for a business intelligence requirements gathering workshop
Gathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data Warehouses
David Walker
Business requirements are critical to any project. Recent studies show that 70% of organisations fail to gather business requirements well. What is worse is that poor requirements can lead a project to over spend its original budget by 95%. Business Intelligence and Performance Management projects are no different. This session will provide a series of tips, techniques and ideas on how you can discover, analyse, understand and document your business requirements for your BI and PM projects. This session will also touch on specific issues, hurdles and obstacle that occur for a typical BI or PM project • The importance of business requirements and a well defined business requirements process • Understanding the difference between a “wish-list” or vision and business requirements • The need and benefits of having a business traceability matrix Start your BI projects on the right foot – understand your requirements
Gathering And Documenting Your Bi Business Requirements
Gathering And Documenting Your Bi Business Requirements
Wynyard Group
A data warehouse is a database designed for query and analysis rather than for transaction processing. An appropriate design leads to scalable, balanced and flexible architecture that is capable to meet both present and long-term future needs. This session covers a comparison of the main data warehouse architectures together with best practices for the logical and physical design that support staging, load and querying.
Data Warehouse Design and Best Practices
Data Warehouse Design and Best Practices
Ivo Andreev
Vouchering and archiving of vouchers, imaging and archival of e-vouchers, provenance data quality and sequence and trace file quality
David Schindel - Barcode Data Standard Compliance
David Schindel - Barcode Data Standard Compliance
Consortium for the Barcode of Life (CBOL)
Complex queries in_business_objects
Complex queries in_business_objects
cmcmm
Web Analysis through KPI and other methods
Web analytics
Web analytics
Pradeep Kumar Tiwari
BI CASE STUDY
Bi case study
Bi case study
Shwetabh Jaiswal
BI case study
Dw case study
Dw case study
Shwetabh Jaiswal
Real World Business Intelligence and Data Warehousing - Slides presented in a GI colloquium at the Friedrich-Schiller University in Jena, January 2012
Real World Business Intelligence and Data Warehousing
Real World Business Intelligence and Data Warehousing
ukc4
Inteligencia de Negocios en la Organizaciones, en base de datos estratégica.
Clase 02 - Base de Datos Estratégica [Inteligencia de Negocios en las Organiz...
Clase 02 - Base de Datos Estratégica [Inteligencia de Negocios en las Organiz...
Julio Antonio Huaman Chuque
Data Warehouse, Business Intelligence, Big Data
Data Warehousing - in the real world
Data Warehousing - in the real world
ukc4
In this presentation to BAADD (SF Bay Area), BI Consultant Mark Gschwind shows one of the leading analytic platforms in the Real Estate industy, AMB Property Corporations data warehouse. Mark gives the attendees a tour of the infrastructure, explaining the challenges faced and the ways he solved them. He discusses how he achieved near-real-time data latency that helped drive user adoption. He demos the cubes, and an innovative custom application called MyData that helped ensure data quality. The presentation is a good example of how one organization achieved success using BI.
The AMB Data Warehouse: A Case Study
The AMB Data Warehouse: A Case Study
Mark Gschwind
En vedette
(17)
Chapter 2 - Retail Sales
Chapter 2 - Retail Sales
Why Your Healthcare Business Intelligence Strategy Can't Win
Why Your Healthcare Business Intelligence Strategy Can't Win
Business intelligence in retail
Business intelligence in retail
Data Mining in Retail Industries
Data Mining in Retail Industries
Sample - Data Warehouse Requirements
Sample - Data Warehouse Requirements
Gathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data Warehouses
Gathering And Documenting Your Bi Business Requirements
Gathering And Documenting Your Bi Business Requirements
Data Warehouse Design and Best Practices
Data Warehouse Design and Best Practices
David Schindel - Barcode Data Standard Compliance
David Schindel - Barcode Data Standard Compliance
Complex queries in_business_objects
Complex queries in_business_objects
Web analytics
Web analytics
Bi case study
Bi case study
Dw case study
Dw case study
Real World Business Intelligence and Data Warehousing
Real World Business Intelligence and Data Warehousing
Clase 02 - Base de Datos Estratégica [Inteligencia de Negocios en las Organiz...
Clase 02 - Base de Datos Estratégica [Inteligencia de Negocios en las Organiz...
Data Warehousing - in the real world
Data Warehousing - in the real world
The AMB Data Warehouse: A Case Study
The AMB Data Warehouse: A Case Study
Similaire à Retail Data Warehouse
What kind of data warehouse usage in retail sector.
Data warehouse usage in retail sector
Data warehouse usage in retail sector
Santho Sh
Raymark Affinity Reporting and Analytics empowers retailers with the critical omni-channel data needed to make timely and fact-based strategic decisions and the freedom to view reports and dashboards from any web-enabled tablet or PC.
Raymark Affinity Reporting and Analytics
Raymark Affinity Reporting and Analytics
Raymark
About SetSight Business Intelligence Software and Analysis for Sales and Category Management.
Set Sight Overview
Set Sight Overview
Pathformance Real Time Data and Shopper Marketing Platform
FactseBiz is a virtual web ecommerce application to combine the most commonly used eBusiness functions and modules into one affordable integrated software application
Factsebiz
Factsebiz
FACTS Computer Software L.L.C
GetSet ERP Brochure
GetSet ERP Brochure
GetSet Solutions Pvt Ltd
Instant Stardom How to Build Executive Dashboards
Instant Stardom How to Build Executive Dashboards
dreamforce2006
Rick Watkins Power Point Presentation on Automation efficiencies
Rick Watkins Power Point Presentation on Automation efficiencies
rickwatkins
Power Point Presentation
Power Point Presentation
rickwatkins
sample of RFP for ERP System
Request for proposal final#n
Request for proposal final#n
Lamees EL- Ghazoly
Rick Watkins Power Point presentation
Rick Watkins Power Point presentation
rickwatkins
Reporting
Reporting
Reporting
ModakAnalytics
Rick Watkins Power Point Resume
Rick Watkins Power Point Resume
rickwatkins
Einstein Analytics walkthrough
Toronto dev group mar2019
Toronto dev group mar2019
rikkehovgaard
* To unify the customer base for all operating companies within the enterprise in support of the following corporate initiatives: -Provide a single view of customers within and across operating companies (op-cos) and functional channels -Grow revenue -Minimize operating cost -Establish customer segmentation programs to support Sales and Marketing efforts expanding over different op-cos -Optimize management of the business -Focus efforts on highest potential customer segments -Differentiate between customer attrition and product declines -More clearly identify individual impacts of Sales, Marketing, Product and Operations initiatives on sales, revenue and the bottom line * Serve as the foundation for transitioning to a Single Account solution for the Enterprise * Implement a comprehensive, systematic means to uniquely identify customers at both the Enterprise and Company level * Implement a centralized back office and call center application for account creation and maintenance
Customer Service & Delivery Management - Using WebMethods for BPM & EAI | Cas...
Customer Service & Delivery Management - Using WebMethods for BPM & EAI | Cas...
Visionet Systems, Inc.
Orion_ERP_Corporate Brochure
Orion_ERP_Corporate Brochure
Hari Rastogi
New Charts Architectures (2)
New Charts Architectures (2)
guestf73e68
Presentation given at HP Software Universe 2010, Washington D.C.
Maximizing supply-chain efficiency with HP Business Availability Center for S...
Maximizing supply-chain efficiency with HP Business Availability Center for S...
Andrew Cornwall
Healthlite yogurt improvement after system implementation
Healthlite yogurt improvement after system implementation
slimjones
Systematix_Credential_Presentation_latest (1)
Systematix_Credential_Presentation_latest (1)
Alex Hunt
1KEY Multi Dimensional Reports.
1KEY Multidimensional
1KEY Multidimensional
Dhiren Gala
Similaire à Retail Data Warehouse
(20)
Data warehouse usage in retail sector
Data warehouse usage in retail sector
Raymark Affinity Reporting and Analytics
Raymark Affinity Reporting and Analytics
Set Sight Overview
Set Sight Overview
Factsebiz
Factsebiz
GetSet ERP Brochure
GetSet ERP Brochure
Instant Stardom How to Build Executive Dashboards
Instant Stardom How to Build Executive Dashboards
Rick Watkins Power Point Presentation on Automation efficiencies
Rick Watkins Power Point Presentation on Automation efficiencies
Power Point Presentation
Power Point Presentation
Request for proposal final#n
Request for proposal final#n
Rick Watkins Power Point presentation
Rick Watkins Power Point presentation
Reporting
Reporting
Rick Watkins Power Point Resume
Rick Watkins Power Point Resume
Toronto dev group mar2019
Toronto dev group mar2019
Customer Service & Delivery Management - Using WebMethods for BPM & EAI | Cas...
Customer Service & Delivery Management - Using WebMethods for BPM & EAI | Cas...
Orion_ERP_Corporate Brochure
Orion_ERP_Corporate Brochure
New Charts Architectures (2)
New Charts Architectures (2)
Maximizing supply-chain efficiency with HP Business Availability Center for S...
Maximizing supply-chain efficiency with HP Business Availability Center for S...
Healthlite yogurt improvement after system implementation
Healthlite yogurt improvement after system implementation
Systematix_Credential_Presentation_latest (1)
Systematix_Credential_Presentation_latest (1)
1KEY Multidimensional
1KEY Multidimensional
Plus de Peter Campbell
Different projects require difgferent approaches. It's not a matter of which is better - traditional Waterfall or the newer agile approach -- it's a matter of what type of project your doing,. This NTEN presentation discusses both approaches and advises on when each one might work, as well as discussing what software will help.
Project Management: Choosing the Right Tools and Approach
Project Management: Choosing the Right Tools and Approach
Peter Campbell
Slides from my presentation at the 2014 Legal Services Corporation Technology Innovation Grants (TIG) conference in Jacksonville on technology strategic planning.
Strategic planning tig 2014
Strategic planning tig 2014
Peter Campbell
Nonprofits need to carefully select products and vendors in order to insure that critical investments are successful. The Request For Proposal is a much-maligned document. This presentation from the 2014 Nonprofit Technology Conference suggests how they might be salvaged.
Requests For Proposals: Making RFPs Work for Nonprofits and Vendors
Requests For Proposals: Making RFPs Work for Nonprofits and Vendors
Peter Campbell
My presentation from the 2011 Marin Nonprofit Conference, submitting the thesis that, if you're a big NPO, you should virtualize; if you're small, you should move to the cloud; but you have too many servers, even if you have just one.
2011 npo you have too many servers peter campbell
2011 npo you have too many servers peter campbell
Peter Campbell
Slides for the five Tech Track Sessions at the 2010 Nonprofit Technology Conference. Note that these are pretty minimal -- the tech track was all about information sharing, not talking heads.
Tech Track -- Campbell
Tech Track -- Campbell
Peter Campbell
Slides from my session on Chapter four of the NTEN book "Managing technology to Meet Your Mission". This is advise on how to frame IT planning in an organization and strategies for tight-resourced orgs to make creative investments and get the most out of them.
NTEN Planning and Prioritizing
NTEN Planning and Prioritizing
Peter Campbell
Slides from the 2009 Nonprofit Technology Conference Session on Server Virtualization. These slides introduce the main concepts and suggest approaches for small, medium and large business scenarios. the latter set of slides are by matt eshelman of CITIDC, who presented with me.
09ntc Server Virtualization Session Slides
09ntc Server Virtualization Session Slides
Peter Campbell
Slides for NTEN Personal Virtualization Webinar
Nten Webinar Desktop Virtualization
Nten Webinar Desktop Virtualization
Peter Campbell
Slides from NTEN Nonprofit Technology Conference, 2008, in New Orleans. Change Managgement session.
Ntc08 Change Management Session Slides Peter Campbell
Ntc08 Change Management Session Slides Peter Campbell
Peter Campbell
Plus de Peter Campbell
(9)
Project Management: Choosing the Right Tools and Approach
Project Management: Choosing the Right Tools and Approach
Strategic planning tig 2014
Strategic planning tig 2014
Requests For Proposals: Making RFPs Work for Nonprofits and Vendors
Requests For Proposals: Making RFPs Work for Nonprofits and Vendors
2011 npo you have too many servers peter campbell
2011 npo you have too many servers peter campbell
Tech Track -- Campbell
Tech Track -- Campbell
NTEN Planning and Prioritizing
NTEN Planning and Prioritizing
09ntc Server Virtualization Session Slides
09ntc Server Virtualization Session Slides
Nten Webinar Desktop Virtualization
Nten Webinar Desktop Virtualization
Ntc08 Change Management Session Slides Peter Campbell
Ntc08 Change Management Session Slides Peter Campbell
Dernier
💉💊+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHABI}}+971581248768 +971581248768 Mtp-Kit (500MG) Prices » Dubai [(+971581248768**)] Abortion Pills For Sale In Dubai, UAE, Mifepristone and Misoprostol Tablets Available In Dubai, UAE CONTACT DR.Maya Whatsapp +971581248768 We Have Abortion Pills / Cytotec Tablets /Mifegest Kit Available in Dubai, Sharjah, Abudhabi, Ajman, Alain, Fujairah, Ras Al Khaimah, Umm Al Quwain, UAE, Buy cytotec in Dubai +971581248768''''Abortion Pills near me DUBAI | ABU DHABI|UAE. Price of Misoprostol, Cytotec” +971581248768' Dr.DEEM ''BUY ABORTION PILLS MIFEGEST KIT, MISOPROTONE, CYTOTEC PILLS IN DUBAI, ABU DHABI,UAE'' Contact me now via What's App…… abortion Pills Cytotec also available Oman Qatar Doha Saudi Arabia Bahrain Above all, Cytotec Abortion Pills are Available In Dubai / UAE, you will be very happy to do abortion in Dubai we are providing cytotec 200mg abortion pill in Dubai, UAE. Medication abortion offers an alternative to Surgical Abortion for women in the early weeks of pregnancy. We only offer abortion pills from 1 week-6 Months. We then advise you to use surgery if its beyond 6 months. Our Abu Dhabi, Ajman, Al Ain, Dubai, Fujairah, Ras Al Khaimah (RAK), Sharjah, Umm Al Quwain (UAQ) United Arab Emirates Abortion Clinic provides the safest and most advanced techniques for providing non-surgical, medical and surgical abortion methods for early through late second trimester, including the Abortion By Pill Procedure (RU 486, Mifeprex, Mifepristone, early options French Abortion Pill), Tamoxifen, Methotrexate and Cytotec (Misoprostol). The Abu Dhabi, United Arab Emirates Abortion Clinic performs Same Day Abortion Procedure using medications that are taken on the first day of the office visit and will cause the abortion to occur generally within 4 to 6 hours (as early as 30 minutes) for patients who are 3 to 12 weeks pregnant. When Mifepristone and Misoprostol are used, 50% of patients complete in 4 to 6 hours; 75% to 80% in 12 hours; and 90% in 24 hours. We use a regimen that allows for completion without the need for surgery 99% of the time. All advanced second trimester and late term pregnancies at our Tampa clinic (17 to 24 weeks or greater) can be completed within 24 hours or less 99% of the time without the need surgery. The procedure is completed with minimal to no complications. Our Women's Health Center located in Abu Dhabi, United Arab Emirates, uses the latest medications for medical abortions (RU-486, Mifeprex, Mifegyne, Mifepristone, early options French abortion pill), Methotrexate and Cytotec (Misoprostol). The safety standards of our Abu Dhabi, United Arab Emirates Abortion Doctors remain unparalleled. They consistently maintain the lowest complication rates throughout the nation. Our Physicians and staff are always available to answer questions and care for women in one of the most difficult times in their lives. The decision to have an abortion at the Abortion Cl
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Terragrunt, Terraspace, Terramate, terra... whatever. What is wrong with Terraform so people keep on creating wrappers and solutions around it? How OpenTofu will affect this dynamic? In this presentation, we will look into the fundamental driving forces behind a zoo of wrappers. Moreover, we are going to put together a wrapper ourselves so you can make an educated decision if you need one.
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Andrey Devyatkin
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
debabhi2
Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
MySQL Webinar, presented on the 25th of April, 2024. Summary: MySQL solutions enable the deployment of diverse Database Architectures tailored to specific needs, including High Availability, Disaster Recovery, and Read Scale-Out. With MySQL Shell's AdminAPI, administrators can seamlessly set up, manage, and monitor these solutions, ensuring efficiency and ease of use in their administration. MySQL Router, on the other hand, provides transparent routing from the application traffic to the backend servers in the architectures, requiring minimal configuration. Completely built in-house and supported by Oracle, these solutions have been adopted by enterprises of all sizes for their business-critical applications. In this presentation, we'll delve into various database architecture solutions to help you choose the right one based on your business requirements. Focusing on technical details and the latest features to maximize the potential of these solutions.
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
We present an architecture of embedding models, vector databases, LLMs, and narrow ML for tracking global news narratives across a variety of countries/languages/news sources. As an example, we explore the real-time application of this architecture for tracking the news narrative surrounding the death of Russian opposition leader Alexei Navalny coming from Russian, French, and English sources.
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Zilliz
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
The Digital Insurer
Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
apidays
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
Building Digital Trust in a Digital Economy Veronica Tan, Director - Cyber Security Agency of Singapore Apidays Singapore 2024: Connecting Customers, Business and Technology (April 17 & 18, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
apidays
This reviewer is for the second quarter of Empowerment Technology / ICT in Grade 11
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
MadyBayot
Dernier
(20)
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
Retail Data Warehouse
1.
The SF Goodwill
Retail Reporting Data Warehouse
2.
3.
4.
5.
6.
7.
Opening Summary Page
8.
Reports Screen
9.
Cash/Tender Report
10.
Inventory Reports
11.
Inventory Reports -
Color
12.
Inventory Reports -
Price Point
13.
Sellthru Report
14.
Sales Goal Report
15.
Time of Day
Report
16.
Exception Report
17.
Reporting Toolbar Report
Criteria Selection:Stores, Dates, Custom Reports, Period to Date Tools:Navigation, Export to Excel, Retail and Promotional Calendars, Help
18.
Reporting Toolbar (Cont.)
19.
Custom Reports
20.
Télécharger maintenant