Enviar pesquisa
Carregar
ETIS10 - BI Business Requirements - Presentation
•
4 gostaram
•
3,238 visualizações
David Walker
Seguir
Tecnologia
Vista de apresentação de diapositivos
Denunciar
Compartilhar
Vista de apresentação de diapositivos
Denunciar
Compartilhar
1 de 25
Baixar agora
Baixar para ler offline
Recomendados
Modern Data architecture Design
Modern Data architecture Design
Kujambu Murugesan
1- Introduction of Azure data factory.pptx
1- Introduction of Azure data factory.pptx
BRIJESH KUMAR
Data Observability Best Pracices
Data Observability Best Pracices
Andy Petrella
Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...
Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...
Certus Solutions
Data quality and bi
Data quality and bi
jeffd00
Data Architecture for Data Governance
Data Architecture for Data Governance
DATAVERSITY
Data Mesh for Dinner
Data Mesh for Dinner
Kent Graziano
Introduction to ETL and Data Integration
Introduction to ETL and Data Integration
CloverDX (formerly known as CloverETL)
Recomendados
Modern Data architecture Design
Modern Data architecture Design
Kujambu Murugesan
1- Introduction of Azure data factory.pptx
1- Introduction of Azure data factory.pptx
BRIJESH KUMAR
Data Observability Best Pracices
Data Observability Best Pracices
Andy Petrella
Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...
Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...
Certus Solutions
Data quality and bi
Data quality and bi
jeffd00
Data Architecture for Data Governance
Data Architecture for Data Governance
DATAVERSITY
Data Mesh for Dinner
Data Mesh for Dinner
Kent Graziano
Introduction to ETL and Data Integration
Introduction to ETL and Data Integration
CloverDX (formerly known as CloverETL)
Business Intelligence (BI) and Data Management Basics
Business Intelligence (BI) and Data Management Basics
amorshed
Data Warehouse Agility Array Conference2011
Data Warehouse Agility Array Conference2011
Hans Hultgren
Data governance Program PowerPoint Presentation Slides
Data governance Program PowerPoint Presentation Slides
SlideTeam
Notes On Single View Of The Customer
Notes On Single View Of The Customer
Alan McSweeney
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
DATAVERSITY
Data Governance Program Powerpoint Presentation Slides
Data Governance Program Powerpoint Presentation Slides
SlideTeam
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Khalid Salama
Data Vault Introduction
Data Vault Introduction
Patrick Van Renterghem
Business Intelligence tools comparison
Business Intelligence tools comparison
Stratebi
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)
DATAVERSITY
Data Governance and Metadata Management
Data Governance and Metadata Management
DATAVERSITY
Azure Data Factory ETL Patterns in the Cloud
Azure Data Factory ETL Patterns in the Cloud
Mark Kromer
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
DATAVERSITY
Data Analytics Meetup: Introduction to Azure Data Lake Storage
Data Analytics Meetup: Introduction to Azure Data Lake Storage
CCG
BI Business Requirements - A Framework For Business Analysts
BI Business Requirements - A Framework For Business Analysts
International Institute of Business Analysis - South Florida Chapter
Building End-to-End Delta Pipelines on GCP
Building End-to-End Delta Pipelines on GCP
Databricks
Preparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guide
ETLSolutions
Data Lake - Multitenancy Best Practices
Data Lake - Multitenancy Best Practices
CitiusTech
Data Lake Overview
Data Lake Overview
James Serra
Webinar Data Mesh - Part 3
Webinar Data Mesh - Part 3
Jeffrey T. Pollock
Business requirements gathering and analysis
Business requirements gathering and analysis
Mena M. Eissa
Business requirements documents
Business requirements documents
hapy
Mais conteúdo relacionado
Mais procurados
Business Intelligence (BI) and Data Management Basics
Business Intelligence (BI) and Data Management Basics
amorshed
Data Warehouse Agility Array Conference2011
Data Warehouse Agility Array Conference2011
Hans Hultgren
Data governance Program PowerPoint Presentation Slides
Data governance Program PowerPoint Presentation Slides
SlideTeam
Notes On Single View Of The Customer
Notes On Single View Of The Customer
Alan McSweeney
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
DATAVERSITY
Data Governance Program Powerpoint Presentation Slides
Data Governance Program Powerpoint Presentation Slides
SlideTeam
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Khalid Salama
Data Vault Introduction
Data Vault Introduction
Patrick Van Renterghem
Business Intelligence tools comparison
Business Intelligence tools comparison
Stratebi
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)
DATAVERSITY
Data Governance and Metadata Management
Data Governance and Metadata Management
DATAVERSITY
Azure Data Factory ETL Patterns in the Cloud
Azure Data Factory ETL Patterns in the Cloud
Mark Kromer
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
DATAVERSITY
Data Analytics Meetup: Introduction to Azure Data Lake Storage
Data Analytics Meetup: Introduction to Azure Data Lake Storage
CCG
BI Business Requirements - A Framework For Business Analysts
BI Business Requirements - A Framework For Business Analysts
International Institute of Business Analysis - South Florida Chapter
Building End-to-End Delta Pipelines on GCP
Building End-to-End Delta Pipelines on GCP
Databricks
Preparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guide
ETLSolutions
Data Lake - Multitenancy Best Practices
Data Lake - Multitenancy Best Practices
CitiusTech
Data Lake Overview
Data Lake Overview
James Serra
Webinar Data Mesh - Part 3
Webinar Data Mesh - Part 3
Jeffrey T. Pollock
Mais procurados
(20)
Business Intelligence (BI) and Data Management Basics
Business Intelligence (BI) and Data Management Basics
Data Warehouse Agility Array Conference2011
Data Warehouse Agility Array Conference2011
Data governance Program PowerPoint Presentation Slides
Data governance Program PowerPoint Presentation Slides
Notes On Single View Of The Customer
Notes On Single View Of The Customer
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
Data Governance Program Powerpoint Presentation Slides
Data Governance Program Powerpoint Presentation Slides
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Data Vault Introduction
Data Vault Introduction
Business Intelligence tools comparison
Business Intelligence tools comparison
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance Takes a Village (So Why is Everyone Hiding?)
Data Governance and Metadata Management
Data Governance and Metadata Management
Azure Data Factory ETL Patterns in the Cloud
Azure Data Factory ETL Patterns in the Cloud
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
How to Use a Semantic Layer to Deliver Actionable Insights at Scale
Data Analytics Meetup: Introduction to Azure Data Lake Storage
Data Analytics Meetup: Introduction to Azure Data Lake Storage
BI Business Requirements - A Framework For Business Analysts
BI Business Requirements - A Framework For Business Analysts
Building End-to-End Delta Pipelines on GCP
Building End-to-End Delta Pipelines on GCP
Preparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guide
Data Lake - Multitenancy Best Practices
Data Lake - Multitenancy Best Practices
Data Lake Overview
Data Lake Overview
Webinar Data Mesh - Part 3
Webinar Data Mesh - Part 3
Destaque
Business requirements gathering and analysis
Business requirements gathering and analysis
Mena M. Eissa
Business requirements documents
Business requirements documents
hapy
Sample Business Requirement Document
Sample Business Requirement Document
Isabel Elaine Leong
Gathering And Documenting Your Bi Business Requirements
Gathering And Documenting Your Bi Business Requirements
Wynyard Group
Sample Project Requirements Document – Library Blog
Sample Project Requirements Document – Library Blog
ALATechSource
Intelligent BI
Intelligent BI
Freeform Dynamics
A New Approach to Defining BI Requirements
A New Approach to Defining BI Requirements
Decision Management Solutions
Business requirements gathering for bi
Business requirements gathering for bi
Corey Dayhuff
Slowly changing dimension
Slowly changing dimension
Sunita Sahu
Writing software requirement document
Writing software requirement document
Sunita Sahu
Business Analysis Fundamentals – Writing Good Business Requirements
Business Analysis Fundamentals – Writing Good Business Requirements
Interpro
Requirment anlaysis , application, device, network requirements
Requirment anlaysis , application, device, network requirements
csk selva
Requirement analysis
Requirement analysis
csk selva
Bussiness needs
Bussiness needs
hunni123
Sample - Data Warehouse Requirements
Sample - Data Warehouse Requirements
David Walker
Employee Time and Task Tracking System
Employee Time and Task Tracking System
Imran Javed Dar, MBA, PMP, 6σ, COBIT
Gathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data Warehouses
David Walker
Language & Gender
Language & Gender
Clive McGoun
Week8 Topic1 Translate Business Needs Into Technical Requirements
Week8 Topic1 Translate Business Needs Into Technical Requirements
hapy
07. Analytics & Reporting Requirements Template
07. Analytics & Reporting Requirements Template
Alan D. Duncan
Destaque
(20)
Business requirements gathering and analysis
Business requirements gathering and analysis
Business requirements documents
Business requirements documents
Sample Business Requirement Document
Sample Business Requirement Document
Gathering And Documenting Your Bi Business Requirements
Gathering And Documenting Your Bi Business Requirements
Sample Project Requirements Document – Library Blog
Sample Project Requirements Document – Library Blog
Intelligent BI
Intelligent BI
A New Approach to Defining BI Requirements
A New Approach to Defining BI Requirements
Business requirements gathering for bi
Business requirements gathering for bi
Slowly changing dimension
Slowly changing dimension
Writing software requirement document
Writing software requirement document
Business Analysis Fundamentals – Writing Good Business Requirements
Business Analysis Fundamentals – Writing Good Business Requirements
Requirment anlaysis , application, device, network requirements
Requirment anlaysis , application, device, network requirements
Requirement analysis
Requirement analysis
Bussiness needs
Bussiness needs
Sample - Data Warehouse Requirements
Sample - Data Warehouse Requirements
Employee Time and Task Tracking System
Employee Time and Task Tracking System
Gathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data Warehouses
Language & Gender
Language & Gender
Week8 Topic1 Translate Business Needs Into Technical Requirements
Week8 Topic1 Translate Business Needs Into Technical Requirements
07. Analytics & Reporting Requirements Template
07. Analytics & Reporting Requirements Template
Semelhante a ETIS10 - BI Business Requirements - Presentation
+AUDIO Selling Business Analysis Internally
+AUDIO Selling Business Analysis Internally
IIBA UK Chapter
Christophe Lemaire, CIO at Eurostar - Welcome to Enterprise Business Intellig...
Christophe Lemaire, CIO at Eurostar - Welcome to Enterprise Business Intellig...
Global Business Events
JDE & Peoplesoft 2 _ Sam Sampathnathan _ Best Practices for Managing Your JD ...
JDE & Peoplesoft 2 _ Sam Sampathnathan _ Best Practices for Managing Your JD ...
InSync2011
Joburg cobit assurance
Joburg cobit assurance
Aldee2013
Asq Voc Article 0210
Asq Voc Article 0210
Mhamil4985
Bringing Agility and Flexibility to Data Design and Integration
Bringing Agility and Flexibility to Data Design and Integration
DATAVERSITY
Balance Sheet (Financial) Consolidation
Balance Sheet (Financial) Consolidation
Dhiren Gala
How to Organize and Prioritize Requirements
How to Organize and Prioritize Requirements
Patrick van Abbema, PMP, CBAP, CSP
Bi 03
Bi 03
Minoo N
Corporate presentation deck (en) 1.8 detail
Corporate presentation deck (en) 1.8 detail
BICorporate
Mx Essentials 28 oktober 2011
Mx Essentials 28 oktober 2011
Mendix
IdealNet and Queplix Webinar
IdealNet and Queplix Webinar
cbiddle2
Developing Complex Business Rules with Drools Integration
Developing Complex Business Rules with Drools Integration
Bonitasoft
Outsourcing Enabled Transformation
Outsourcing Enabled Transformation
John Meyerson
Mrn business case cop 20 oct
Mrn business case cop 20 oct
MarlysNorby
06 business and functional requirements
06 business and functional requirements
Namita Razdan
Sps philly 2011 1-designer
Sps philly 2011 1-designer
Peter1020
Dan Ferguson
Dan Ferguson
danferguson
BiLogica - BI services
BiLogica - BI services
eclectic78
Telcom Offshoring
Telcom Offshoring
NBCUniversal, Inc.
Semelhante a ETIS10 - BI Business Requirements - Presentation
(20)
+AUDIO Selling Business Analysis Internally
+AUDIO Selling Business Analysis Internally
Christophe Lemaire, CIO at Eurostar - Welcome to Enterprise Business Intellig...
Christophe Lemaire, CIO at Eurostar - Welcome to Enterprise Business Intellig...
JDE & Peoplesoft 2 _ Sam Sampathnathan _ Best Practices for Managing Your JD ...
JDE & Peoplesoft 2 _ Sam Sampathnathan _ Best Practices for Managing Your JD ...
Joburg cobit assurance
Joburg cobit assurance
Asq Voc Article 0210
Asq Voc Article 0210
Bringing Agility and Flexibility to Data Design and Integration
Bringing Agility and Flexibility to Data Design and Integration
Balance Sheet (Financial) Consolidation
Balance Sheet (Financial) Consolidation
How to Organize and Prioritize Requirements
How to Organize and Prioritize Requirements
Bi 03
Bi 03
Corporate presentation deck (en) 1.8 detail
Corporate presentation deck (en) 1.8 detail
Mx Essentials 28 oktober 2011
Mx Essentials 28 oktober 2011
IdealNet and Queplix Webinar
IdealNet and Queplix Webinar
Developing Complex Business Rules with Drools Integration
Developing Complex Business Rules with Drools Integration
Outsourcing Enabled Transformation
Outsourcing Enabled Transformation
Mrn business case cop 20 oct
Mrn business case cop 20 oct
06 business and functional requirements
06 business and functional requirements
Sps philly 2011 1-designer
Sps philly 2011 1-designer
Dan Ferguson
Dan Ferguson
BiLogica - BI services
BiLogica - BI services
Telcom Offshoring
Telcom Offshoring
Mais de David Walker
Moving To MicroServices
Moving To MicroServices
David Walker
Big Data Week 2016 - Worldpay - Deploying Secure Clusters
Big Data Week 2016 - Worldpay - Deploying Secure Clusters
David Walker
Data Works Berlin 2018 - Worldpay - PCI Compliance
Data Works Berlin 2018 - Worldpay - PCI Compliance
David Walker
Data Works Summit Munich 2017 - Worldpay - Multi Tenancy Clusters
Data Works Summit Munich 2017 - Worldpay - Multi Tenancy Clusters
David Walker
Big Data Analytics 2017 - Worldpay - Empowering Payments
Big Data Analytics 2017 - Worldpay - Empowering Payments
David Walker
Data Driven Insurance Underwriting
Data Driven Insurance Underwriting
David Walker
Data Driven Insurance Underwriting (Dutch Language Version)
Data Driven Insurance Underwriting (Dutch Language Version)
David Walker
An introduction to data virtualization in business intelligence
An introduction to data virtualization in business intelligence
David Walker
BI SaaS & Cloud Strategies for Telcos
BI SaaS & Cloud Strategies for Telcos
David Walker
Building an analytical platform
Building an analytical platform
David Walker
Data warehousing change in a challenging environment
Data warehousing change in a challenging environment
David Walker
Building a data warehouse of call data records
Building a data warehouse of call data records
David Walker
Struggling with data management
Struggling with data management
David Walker
A linux mac os x command line interface
A linux mac os x command line interface
David Walker
Connections a life in the day of - david walker
Connections a life in the day of - david walker
David Walker
Conspectus data warehousing appliances – fad or future
Conspectus data warehousing appliances – fad or future
David Walker
An introduction to social network data
An introduction to social network data
David Walker
Using the right data model in a data mart
Using the right data model in a data mart
David Walker
Implementing Netezza Spatial
Implementing Netezza Spatial
David Walker
Storage Characteristics Of Call Data Records In Column Store Databases
Storage Characteristics Of Call Data Records In Column Store Databases
David Walker
Mais de David Walker
(20)
Moving To MicroServices
Moving To MicroServices
Big Data Week 2016 - Worldpay - Deploying Secure Clusters
Big Data Week 2016 - Worldpay - Deploying Secure Clusters
Data Works Berlin 2018 - Worldpay - PCI Compliance
Data Works Berlin 2018 - Worldpay - PCI Compliance
Data Works Summit Munich 2017 - Worldpay - Multi Tenancy Clusters
Data Works Summit Munich 2017 - Worldpay - Multi Tenancy Clusters
Big Data Analytics 2017 - Worldpay - Empowering Payments
Big Data Analytics 2017 - Worldpay - Empowering Payments
Data Driven Insurance Underwriting
Data Driven Insurance Underwriting
Data Driven Insurance Underwriting (Dutch Language Version)
Data Driven Insurance Underwriting (Dutch Language Version)
An introduction to data virtualization in business intelligence
An introduction to data virtualization in business intelligence
BI SaaS & Cloud Strategies for Telcos
BI SaaS & Cloud Strategies for Telcos
Building an analytical platform
Building an analytical platform
Data warehousing change in a challenging environment
Data warehousing change in a challenging environment
Building a data warehouse of call data records
Building a data warehouse of call data records
Struggling with data management
Struggling with data management
A linux mac os x command line interface
A linux mac os x command line interface
Connections a life in the day of - david walker
Connections a life in the day of - david walker
Conspectus data warehousing appliances – fad or future
Conspectus data warehousing appliances – fad or future
An introduction to social network data
An introduction to social network data
Using the right data model in a data mart
Using the right data model in a data mart
Implementing Netezza Spatial
Implementing Netezza Spatial
Storage Characteristics Of Call Data Records In Column Store Databases
Storage Characteristics Of Call Data Records In Column Store Databases
Último
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Orbitshub
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Zilliz
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Angeliki Cooney
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Orbitshub
Architecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
The Digital Insurer
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
Andrey Devyatkin
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
apidays
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
Nanddeep Nachan
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
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
rafiqahmad00786416
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Jeffrey Haguewood
Último
(20)
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Architecting Cloud Native Applications
Architecting Cloud Native Applications
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
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
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
ETIS10 - BI Business Requirements - Presentation
1.
BI Business Requirements
David M Walker ETIS Stockholm 14th-15th October 2010
2.
70 How Valuable
Are Your Requirements? % • Why? – Written but never referred to of all documented + (Shelf-ware) – Out of date before they are built – Cover the wrong requirements things – Can’t be tested are worthless And then there are the projects that just don’t document them! Friday, 15 October 2010 ©2010 Data Management & Warehousing 2
3.
What Makes Requirements
Useful? • Understandable & Accessible – Business requirements should be written in such a way that anyone in the business can understand them – Business requirements should be easily accessible by anyone in the business Friday, 15 October 2010 ©2010 Data Management & Warehousing 3
4.
What Makes Requirements
Useful? • Revisions – It must be quick and easy to update the requirements and possible to track the changes – Developers must have a stable set of requirements whilst the business must be free to innovate and create new requirements Friday, 15 October 2010 ©2010 Data Management & Warehousing 4
5.
What Makes Requirements
Useful? • Testable – It must be possible to test both that the requirements are achievable within themselves and that the developed solution meets the requirements when it is delivered Friday, 15 October 2010 ©2010 Data Management & Warehousing 5
6.
An essential piece
of the puzzle Good requirements are part of your end-to-end methodology: If you don’t know when and how you are going to use the requirements it is unlikely you will get any value from them If you don’t meet the business’ expectation that is created by the gathering requirements process then it is unlikely that your project will be regarded as successful whatever you deliver Friday, 15 October 2010 ©2010 Data Management & Warehousing 6
7.
Requirements & Testing •
Ensure the requirements are achievable within themselves • Test that the developed solution meets the requirements when it is delivered • Every methodology will be different • What follows is how we do it … Friday, 15 October 2010 ©2010 Data Management & Warehousing 7
8.
Creating achievable requirements •
Three step process: – Business Requirements – Data Requirements – Query Requirements • Additional Collateral – Technical Requirements – Interface Requirements • By-products – Business Definition Dictionary Friday, 15 October 2010 ©2010 Data Management & Warehousing 8
9.
Step 1: Business
Requirements • These detail the requirements from a business point of view, using language which is meaningful to Business Requirements Data Requirements business users • The business requirements must be clear and precise Query Requirements – Any business terms used must be defined so that the business and the BI team have a shared, unambiguous, understanding of each requirement. • A business value must be associated with each requirement Friday, 15 October 2010 ©2010 Data Management & Warehousing 9
10.
Step 2: Data
Requirements • Detail the requirements for business information from the data Business Data perspective Requirements Requirements • Identify specific data structures and data items Query Requirements • Still written from the business perspective, but map-able to actual database tables and columns • Many data requirements for each business requirement and each data requirement may help satisfy may business requirement Friday, 15 October 2010 ©2010 Data Management & Warehousing 10
11.
Step 3: Query
Requirements • These requirements provides acceptance criteria so that the BI team can test that each Business Requirements Data Requirements requirement has been met • They lists a number of potential queries that the solution should be Query Requirements able to provide answers to • They illustrate how the business requirements can be satisfied from the data requirements • Many query requirements use many data requirements to satisfy many business requirements Friday, 15 October 2010 ©2010 Data Management & Warehousing 11
12.
How the requirements
fit together Query Data Requirement Requirement Query Business Data Requirement Requirement Requirement Query is defined are Data Requirement by the uIlised Requirement by the Query data in the Business Data Requirement Requirement Requirement Query Data Requirement Requirement Query Requirement which demonstrate that it is possible to saIsfy the Friday, 15 October 2010 ©2010 Data Management & Warehousing 12
13.
Creating Useful Requirements •
Business Requirements – Understood by the business • Data Requirements – Informs the analysis and design • Query Requirements – Provides the acceptance criteria for delivery Friday, 15 October 2010 ©2010 Data Management & Warehousing 13
14.
Does the process
support the delivery? Acceptance Requirements Did we deliver what we promised? Test IntegraIon Analysis Does the system hang together? TesIng System Design Have we build what was designed? TesIng Unit Build Does the code we’ve wriWen work? TesIng Friday, 15 October 2010 ©2010 Data Management & Warehousing 14
15.
What does it
take to do this? • European Fixed Line Operator – At start: 15 BRQ; 50 DRQ; 100 QRQ • BRQ/DRQ took 3 weeks, QRQ took another 3 weeks – At 5 years: 19 BRQ; 72 DRQ; 225+ QRQ • Effort incremental over time – Business Definition Dictionary (BDD) built as part of the process • European Mobile Operator – At start: 18 BRQ; 100 DRQ • BRQ took 3 weeks – At 1 year: 18 BRQ; 150+ DRQ Friday, 15 October 2010 ©2010 Data Management & Warehousing 15
16.
How Do We
Implement This? • Project Services – Integrated Environment based on free open source software Trac – Web Based solution with: • Wiki / Ticketing / Version Control / Test Management / Security – More Info: http://projects.datamgmt.com/ Friday, 15 October 2010 ©2010 Data Management & Warehousing 16
17.
Can we have
your templates? • No! But not • Templates are an ‘aide memoir’ for methodology for the reason practitioners not a substitute you think • People who just take the templates rarely follow the methodology and then blame the methodology for their failures • Our consultancy services and white papers are more useful to you in developing your own successful BI methodology Friday, 15 October 2010 ©2010 Data Management & Warehousing 17
18.
Things to watch
out for … • Success is Cultural • Which Methodology? • Mix & Match • Supplier Divorce • Where Metadata Starts Friday, 15 October 2010 ©2010 Data Management & Warehousing 18
19.
Success Is Cultural •
Results are about: – Your company culture – Then the methodologies • Are you adversarial? templates and data • Are you willing to models adapt? – Then the technology • Do you have a “can do” attitude? – The people you engage • The individuals • Not the supplier company Friday, 15 October 2010 ©2010 Data Management & Warehousing 19
20.
Which Methodology? • No
evidence that any particular approach is “the best” • Vendors & Systems Integrators market their successes but not their failures • The right one is the • Anecdotally smaller one that you can and truly agile make function inside projects are also very your organisation successfully over many years Friday, 15 October 2010 ©2010 Data Management & Warehousing 20
21.
Mix and Match
• One provider is unlikely to successfully work with the deliverables from another provider – Different methodologies put information and steps in different places so trying to marry them up always has overlaps and gaps – The price of vendor review and re-use is often larger than allowing the vendor to just do it their way and then internally ensure that everything is carried over from other projects, this also avoids the “blame game” Friday, 15 October 2010 ©2010 Data Management & Warehousing 21
22.
Supplier Divorce • BI
Projects are long-term – Typically 10-15 years • DWH Development Contracts are shorter – Typically 2-5 years • There will come a time when the developer leaves – It’s not always amicable – Plan for succession – Internalise critical parts of the methodology/ process and information Friday, 15 October 2010 ©2010 Data Management & Warehousing 22
23.
This is where
Metadata your starts • Business & Data Requirements are the core of your Metadata • Spine around which to build: – Business Definitions, Data Models, ETL Loads, Universes • There isn’t a single tool to do this • You need several tools and an integrated approach Friday, 15 October 2010 ©2010 Data Management & Warehousing 23
24.
In summary • Useful
Requirements: • Watch out for: – Understandable & – Success is Cultural Accessible – Which Methodology? – Revisions – Mix & Match Solutions – Testable – Supplier Divorce – An integrated part of – Where Metadata Starts the development process Friday, 15 October 2010 ©2010 Data Management & Warehousing 24
25.
BI Business Requirements
Thank You ETIS Stockholm 14th-15th October 2010
Baixar agora