07. Analytics & Reporting Requirements TemplateAlan D. Duncan
This document template defines an outline structure for the clear and unambiguous definition of analytics & reporting outputs (including standard reports, ad hoc queries, Business Intelligence, analytical models etc).
Presentation on Business Requirements gathering for Business Intelligence from our BI Practice Lead. Detailed instruction on how to maximize your time in gathering requirements and ensure you capture what is important to the user. Requirements gathering is critical to the success of a BI project.
Gathering And Documenting Your Bi Business RequirementsWynyard Group
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
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Strategic Business Requirements for Master Data Management SystemsBoris Otto
This presentation describes strategic business requirements of master data management (MDM) systems. The requirements were developed in a consortium research approach by the Institute of Information Management at the University of St. Gallen, Switzerland, and 20 multinational enterprises.
The presentation was given at the 17th Amercias Conference on Information Systems (AMCIS 2011) in Detroit, MI.
The research paper on which this presentation is based on can be found here: http://www.alexandria.unisg.ch/Publikationen/Zitation/Boris_Otto/177697
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
07. Analytics & Reporting Requirements TemplateAlan D. Duncan
This document template defines an outline structure for the clear and unambiguous definition of analytics & reporting outputs (including standard reports, ad hoc queries, Business Intelligence, analytical models etc).
Presentation on Business Requirements gathering for Business Intelligence from our BI Practice Lead. Detailed instruction on how to maximize your time in gathering requirements and ensure you capture what is important to the user. Requirements gathering is critical to the success of a BI project.
Gathering And Documenting Your Bi Business RequirementsWynyard Group
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
Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join Nigel Turner and Donna Burbank as they provide practical ways to control Data Quality issues in your organization.
Strategic Business Requirements for Master Data Management SystemsBoris Otto
This presentation describes strategic business requirements of master data management (MDM) systems. The requirements were developed in a consortium research approach by the Institute of Information Management at the University of St. Gallen, Switzerland, and 20 multinational enterprises.
The presentation was given at the 17th Amercias Conference on Information Systems (AMCIS 2011) in Detroit, MI.
The research paper on which this presentation is based on can be found here: http://www.alexandria.unisg.ch/Publikationen/Zitation/Boris_Otto/177697
Data Modeling, Data Governance, & Data QualityDATAVERSITY
Data Governance is often referred to as the people, processes, and policies around data and information, and these aspects are critical to the success of any data governance implementation. But just as critical is the technical infrastructure that supports the diverse data environments that run the business. Data models can be the critical link between business definitions and rules and the technical data systems that support them. Without the valuable metadata these models provide, data governance often lacks the “teeth” to be applied in operational and reporting systems.
Join Donna Burbank and her guest, Nigel Turner, as they discuss how data models & metadata-driven data governance can be applied in your organization in order to achieve improved data quality.
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
03. Business Information Requirements TemplateAlan D. Duncan
A template for the clear and unambiguous definition of business data and information requirements. (cf. “Business Requirements Document”, “Functional Specification” or similar from standard SDLC processes). As such, the contents will typically form the basis for population and publication of a business glossary of information terms.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Capturing Business Requirements For Scorecards, Dashboards And ReportsJulian Rains
This paper helps Management Information and Business Intelligence related projects build a solid foundation for their reporting business requirements gathering. It defines the scope of the information needed to design and build dashboards, scorecards and other types of report.
BI Dashboard Formula Methodology: How to make your first big data visualizati...BI Brainz
BI Dashboard Formula Methodology Webinar:
http://bidashboardformula.com
Learn how to with Mico Yuk:
Qualify your dashboard project before starting
Transform your KPIs into actionable KPIs
Tell a story with your KPI's and Data
Build mockups right the first time
Boost user adoption using our hacks
Build in any tool!
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2OUz6dt.
Chris Riccomini talks about the current state-of-the-art in data pipelines and data warehousing, and shares some of the solutions to current problems dealing with data streaming and warehousing. Filmed at qconsf.com.
Chris Riccomini works as a Software Engineer at WePay.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
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.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
ECATA - Sourcing Strategies of IT ServicesPatrick Nolot
The 11th International Aerospace Seminar organized by the ECATA Alumni (European Consortium for Advanced Training in Aerospace, www.ecata.org) took place in Munich, Germany, and hosted industry leaders who made presentations on the conference's theme "Balancing Core Competences and Out-Sourcing".
Patrick Nolot, VP Technology Strategy & Architecture, BNP Paribas Personal Finance, together with Björn Schichler, Senior Manager, LogicaCMG Management Consulting and Michel Cadars, LogicaCMG Global Account Director EADS, made a presentation on "Sourcing Strategies of IT Services".
Presentation abstract:
• Main evolutions of the IT sourcing services market, from off shoring of IT programming skills to Business Process Outsourcing (BPO)
• What IT outsourcing (ITO) is and is not? (scope)
• Why deciding for “optimal IT sourcing” initiatives? (business objectives)
• Where to source IT services? (location analysis)
• How to source IT services? (sourcing models)
• Best practices and return on experience from LogicaCMG, one of the leading 10 players in the Western European IT and BPO services market
• Emerging trends in the IT sourcing services market
Data Architecture Strategies: Data Architecture for Digital TransformationDATAVERSITY
MDM, data quality, data architecture, and more. At the same time, combining these foundational data management approaches with other innovative techniques can help drive organizational change as well as technological transformation. This webinar will provide practical steps for creating a data foundation for effective digital transformation.
03. Business Information Requirements TemplateAlan D. Duncan
A template for the clear and unambiguous definition of business data and information requirements. (cf. “Business Requirements Document”, “Functional Specification” or similar from standard SDLC processes). As such, the contents will typically form the basis for population and publication of a business glossary of information terms.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Capturing Business Requirements For Scorecards, Dashboards And ReportsJulian Rains
This paper helps Management Information and Business Intelligence related projects build a solid foundation for their reporting business requirements gathering. It defines the scope of the information needed to design and build dashboards, scorecards and other types of report.
BI Dashboard Formula Methodology: How to make your first big data visualizati...BI Brainz
BI Dashboard Formula Methodology Webinar:
http://bidashboardformula.com
Learn how to with Mico Yuk:
Qualify your dashboard project before starting
Transform your KPIs into actionable KPIs
Tell a story with your KPI's and Data
Build mockups right the first time
Boost user adoption using our hacks
Build in any tool!
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...DATAVERSITY
A solid data architecture is critical to the success of any data initiative. But what is meant by “data architecture”? Throughout the industry, there are many different “flavors” of data architecture, each with its own unique value and use cases for describing key aspects of the data landscape. Join this webinar to demystify the various architecture styles and understand how they can add value to your organization.
Building a Data Strategy – Practical Steps for Aligning with Business GoalsDATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task – but it’s worth the effort. Getting your Data Strategy right can provide significant value, as data drives many of the key initiatives in today’s marketplace, from digital transformation to marketing, customer centricity, population health, and more. This webinar will help demystify Data Strategy and its relationship to Data Architecture and will provide concrete, practical ways to get started.
Creating a clearly articulated data strategy—a roadmap of technology-driven capability investments prioritized to deliver value—helps ensure from the get-go that you are focusing on the right things, so that your work with data has a business impact. In this presentation, the experts at Silicon Valley Data Science share their approach for crafting an actionable and flexible data strategy to maximize business value.
Emerging Trends in Data Architecture – What’s the Next Big Thing?DATAVERSITY
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
Video and slides synchronized, mp3 and slide download available at URL https://bit.ly/2OUz6dt.
Chris Riccomini talks about the current state-of-the-art in data pipelines and data warehousing, and shares some of the solutions to current problems dealing with data streaming and warehousing. Filmed at qconsf.com.
Chris Riccomini works as a Software Engineer at WePay.
Data Governance Best Practices, Assessments, and RoadmapsDATAVERSITY
When starting or evaluating the present state of your Data Governance program, it is important to focus on best practices such that you don’t take a ready, fire, aim approach. Best practices need to be practical and doable to be selected for your organization, and the program must be at risk if the best practice is not achieved.
Join Bob Seiner for an important webinar focused on industry best practice around standing up formal Data Governance. Learn how to assess your organization against the practices and deliver an effective roadmap based on the results of conducting the assessment.
In this webinar, Bob will focus on:
- Criteria to select the appropriate best practices for your organization
- How to define the best practices for ultimate impact
- Assessing against selected best practices
- Focusing the recommendations on program success
- Delivering a roadmap for your Data Governance program
DAS Slides: Building a Data Strategy - Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace: digital transformation, marketing, customer centricity, and more. This webinar will help de-mystify Data Strategy and Data Architecture and will provide concrete, practical ways to get started.
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
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.
Master Data Management – Aligning Data, Process, and GovernanceDATAVERSITY
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
ECATA - Sourcing Strategies of IT ServicesPatrick Nolot
The 11th International Aerospace Seminar organized by the ECATA Alumni (European Consortium for Advanced Training in Aerospace, www.ecata.org) took place in Munich, Germany, and hosted industry leaders who made presentations on the conference's theme "Balancing Core Competences and Out-Sourcing".
Patrick Nolot, VP Technology Strategy & Architecture, BNP Paribas Personal Finance, together with Björn Schichler, Senior Manager, LogicaCMG Management Consulting and Michel Cadars, LogicaCMG Global Account Director EADS, made a presentation on "Sourcing Strategies of IT Services".
Presentation abstract:
• Main evolutions of the IT sourcing services market, from off shoring of IT programming skills to Business Process Outsourcing (BPO)
• What IT outsourcing (ITO) is and is not? (scope)
• Why deciding for “optimal IT sourcing” initiatives? (business objectives)
• Where to source IT services? (location analysis)
• How to source IT services? (sourcing models)
• Best practices and return on experience from LogicaCMG, one of the leading 10 players in the Western European IT and BPO services market
• Emerging trends in the IT sourcing services market
Selecting BI Tool - Proof of Concept - Андрій МузичукIgor Bronovskyy
A large number of tools and techniques have been developed over the years to support managerial decision making. Thus process of selecting appropriate BI tool turns to be an issue. Implementing and deploying a BI initiative can be lengthy, expensive and failure pron. The Proof of concept method can be used by stakeholders to avoid unnecessary losses.
In the presentation, the description of Proof of Concept method is provided based on the example of selecting among Microsoft stack, MicroStrategy and Business Object Bi tools. The example includes above mentioned technologies overview, reports modeling process, reports development process, report integration in SharePoint, performance testing as well as the decision making model and summary for final tools selection.
How to implement measurements to drive valueOMNINET USA
Slides belonging to a BrighTalk presentation given by David Smith, president of Micromation.
How to Implement Measurements to drive value
Improve the "Business of IT" by using a measurement framework and metrics that matter most.
Metrics are important to management. What's not measured cannot be managed. But what should be measured, why and how?
If you're experiencing any of these symptoms, then this session is for you:
• not sure what to measure
• not sure how to measure
• IT metrics don't seem to support business goals
• too busy fighting fires to become more proactive
• measure too many things already
• business/IT goals not measured
• priorities focus on noise vs. what's important
• customer complaints drive improvements
• efficiency, effectiveness, quality not well understood
• reduced visibility resulting in loss of control
• not sure who needs what level of detail
Learning Objectives:
Metrics validate your IT strategy and vision; provide direction with targets and metrics; justify changes with a means to gauge value-realized; signal when to intervene with corrective actions.
Hear case studies and examples that help you improve alignment, meet compliance and drive service excellence.
Learn the secrets of how measurement frameworks works and take away a roadmap with actionable steps. Let's get IT started.
How to Build a Rock-Solid Analytics and Business Intelligence StrategySAP Analytics
http://spr.ly/SBOUC_VP - The key to a successful analytics program is to have the right strategy in place. An effective approach benefits both IT and the core business alike. A solid, well-communicated business intelligence strategy is more than just a good idea. It’s crucial to maximizing ROI, reaching KPIs, and identifying metrics that actually mean something. Take the next step in your journey to a solid BI strategy.
Presenters: Deepa Sankar & Pat Saporito, SAP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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BI Business Requirements - A Framework For Business Analysts
1. BI Business Requirements
A Framework for Business Analysts
Nancy Williams, VP
DecisionPath Consulting
nancy.williams@decisionpath.com
Copyright DecisionPath Consulting 2011 — All Rights Reserved
2. BI- What Are We Trying to Achieve?
Business
Business Business Business
Measurement
Information Decisions Actions
& Analysis
In the Context of Business Processes
Management Customer Operating Processes,
Processes, e.g. Processes, e.g. e.g. Manufacturing,
Planning, Budgeting, Marketing, Sales, Order Fulfillment,
Controlling Customer Service Billing
Business Intelligence and
Equals Business Results $$$
Copyright DecisionPath Consulting 2011 — All Rights Reserved 2
3. Maturing Information Models
Information Requirements- the new BI Paradigm
Traditional Information
Requirements Approaches
Business Intelligence Requirements
Approach
Report layouts
List of Data Elements
What business information do we need?
Query and reporting
specifications For what business analyses?
Oriented around “what” is In support of which key business decisions?
needed, with little business That impact what core business processes?
context To deliver how much business value?
“Build it and they will come” Via what changes to people, processes, and
approach technology
Copyright DecisionPath Consulting 2011 — All Rights Reserved 3
4. What Do We Need to Do?
Create a BI Strategy- Define BI Opportunities
Identify Risks
Identify Risks Develop BI
Develop BI Leverage BI
Leverage BI
Create a BI
Create a BI Execute via
Execute via
& Change
& Change Program &
Program & for Profit
for Profit
Strategy
Strategy Best Practices
Best Practices
Imperatives
Imperatives Release Plans
Release Plans Improvement
Improvement
• Aligns BI needs with Business
Drivers, Strategies, and
Processes
• Identifies specific
opportunities for using BI to
improve business performance
• Articulates explicit “business
case” for each opportunity
Copyright DecisionPath Consulting 2011 — All Rights Reserved 4
5. BI Business Requirements Process
Inputs Requirements Activities Artifacts Inputs to Next
Phases
Analytic
Conduct Requirements Interviews, Facilitated Sessions Needs,
Metrics, KPIs
Define Input to
Metrics Analytical Release
Areas Planning
Analytic Needs
Matrix
Identify Document
Reports
Business Terms and
Questions Definitions
Definition of
Terms
Interview Notes Define/ Refine
Facts & Input to Logical
Qualifiers Modeling
Fact/ Qualifier
Matrix
Map to Data
Sources
Copyright DecisionPath Consulting 2011 — All Rights Reserved 5
6. BI Requirements Preparation
Understanding the Strategic Context- Business Drivers,
Goals, and Strategies
• Private sector
– SEC filings • Public sector
– Annual Report – Many of the same types of
– Business and IT strategic documents noted for Private
plans Sector
– Industry analyses – Agency strategic plans
– Trade association web sites – Agency mission and vision
statements
– Documents that describe
current architecture and – Current and next year
technical environment budgets
– Existing business – OMB documents
plans/justification documents – Relevant public policy
for enterprise applications documentation
– Research to determine
business processes, business
context and key business
processes
– Balanced Scorecard(s)
Copyright DecisionPath Consulting 2011 — All Rights Reserved 6
7. BI Requirements Preparation
Develop a “Hypothesis” and Prepare Participants
1. Establish Strategic Context and Understanding of Business Drivers,
Goals, and Strategies
2. Determine current, “as-is” information capabilities
3. Develop a working hypothesis regarding new “to-be” BI capabilities that
align with and support business goals and strategies
4. Notify participants about the purpose of interviews/facilitated sessions
and how they can prepare
Copyright DecisionPath Consulting 2011 — All Rights Reserved 7
8. Facilitated Sessions and Interviews-
Making Connections- Business Alignment
Define Analytical Areas
Business Questions:
Analytical Areas:
Analytic Needs,
What are my sales by region? Metric, KPIs
Sales and Revenue Analysis:
What are my sales by region?
What is the historical average What is our revenue at the
product level? 3. Define
amount paid by claim type? purpose/story
Claims Analysis: for analytical
What is our revenue at the area explaining
product level? What is the historical average
amount paid by claim type? BI impact
opportunities
How many customer service
calls did I get yesterday? Customer Service Analysis:
How many customer service
1. Define themes or calls did I get yesterday? Analytic Needs
“areas for analysis” Matrix
2. Group questions
into analytical
areas 4. Align analytic
needs areas with
business goals
Copyright DecisionPath Consulting 2011 — All Rights Reserved 8
9. Sample Artifact- Analytic Needs Glossary
Analytic Needs Glossary
Cross-Selling Analysis: Customer Complaint Analysis:
While a business goal exists to increase revenue through While there is an established corporate goal to improve
better leveraging cross-selling opportunities, information is customer satisfaction ratings, there is currently no
currently not available to improve the management of information to quantify or analyze complaints. Currently
current cross-selling efforts. Current cross-selling the only information available is the number of customer
information is limited to counting cross-selling events. calls. It is unclear how many of these calls relate to
Cross-selling analysis will enable managers to analyze the different types of customer complaints.
effectiveness cross-selling pilot programs across the Customer complaint analysis will enable managers to
organization. It will enable managers to adjust messaging, quantify customer complaints over time and to
and customer targets, based on the effectiveness of pilot understand why customers are complaining.
programs. This type of information is critical to achieving Management can then take steps to resolve the
increased cross-selling revenue targets. underlying problems associated with customer
Questions: dissatisfaction expressed through complaints.
1.What is the actual vs. projected cross-selling events and Questions:
associated revenue by pilot by location, by department, by 1.How many customer complaints were their by
time? complaint type by time?
2.Which pilots aimed at the same customer targets were 2.What products/services are associated with the
the most and least effective based by demographic profile? most/least customer complaints? How has this changed
over time?
Copyright DecisionPath Consulting 2011 — All Rights Reserved 9
10. Sample Artifact- Analytic Needs Matrix
Analytic Needs Matrix
Analytic Needs
Business Goals Cross-selling Customer Customer Customer
Analysis Segmentation Complaint Satisfaction
Analysis Analysis
1. Increase Revenue through
leveraging cross-selling
opportunities.
2. Improve Customer Satisfaction by
reducing customer complaint
levels.
3. Continue to enroll new members by
establishing new channels,
marketing to new demographic
groups.
continued list of goals
Copyright DecisionPath Consulting 2011 — All Rights Reserved 10
12. Sample Artifact- Definition of Terms
Definition of Terms
Example: Define “customer” for a hotel chain
Possibilities include:
1. A customer is a hotel customer
2. A customer is someone who makes a reservation
3. A customer is someone who has had at least one stay at a hotel
4. A customer may be a business or individual who rents a hotel facility
5. A customer is someone who signs up for the hotel loyalty program
6. A customer may not make the reservation; is the person who made the
reservation the customer, or the person who stayed?
Candidate definition:
“A customer is an individual, group, or business who has received one or more hotel
services, including hotel stays, facility rentals, and/or other additional hotel
services, such as spa services. Hotel services may or may not have been paid for
by the customer. A customer does not have to complete a hotel stay to be
considered a customer.”
Copyright DecisionPath Consulting 2011 — All Rights Reserved 12
13. BI Requirements Alignment and Traceability
Requirements Artifact Summary
Analytic
What are the measurement Needs,
and analytic (information) Metrics, KPIs
need areas of the business?
What specific questions need to be Analytic Needs
answered for each information Matrix
need area?
Traceability
How do these information
Fact/Qualifier
needs map to the business
Matrix
goals?
What facts and qualifiers are
needed to answer the business Business
questions? Requirements
Database
What are the shared definitions
for business specific terms and
Definition of Terms
acronyms?
Copyright DecisionPath Consulting 2011 — All Rights Reserved 13
14. Additional BI Business Requirements
Requirements
Requirements
Analytic Need
Sourcing and
Data Quality
BI Success
Business
Business
Business
Question
Group(s)
Process
Metrics
Priority
History
Goal(s)
Issues
Notes
Time
User
Loyalty Keep loyal Manage Promotions Daily 3 Years
Marketing customers on-going Monitoring
promotion & Analysis
Reservations &
Reservations &
Expand loyal Info Loyalty Member
Loyalty Member
customer
base tables; Data
tables; Data
This is a business 1 year prior to start of Quality – OK
Quality – OK
Reservations & Revenue Lift,
question. It needs to be promotion, 2 periods after
High 4 lines and should not
Weekly
the end. Use current values
Loyalty Member; Capacity Filled
Quality – OK Lift, …
be readable. for member addresses …
This is a business 1 year prior to start of
Reservations &
question. It needs to be promotion, 2 periods after
High Weekly Loyalty Member; This is a note
What are the measurable
What are the measurable
4 lines and should not
be readable.
the end. Use current values
for member addresses …
Quality – OK
statistics (member count,
statistics (member count, This is a business
question. It needs to be
1 year prior to start of
promotion, 2 periods after
Reservations & Revenue Lift,
High Weekly Loyalty Member; Capacity Filled
trips, revenue, tickets,
trips, revenue, tickets, 4 lines and should not
be readable.
the end. Use current values
for member addresses …
Quality – OK Lift, …
reservations) by airport,
reservations) by airport, This is a business
1 year prior to start of
1 year prior to start of
1 year prior to start of
Reservations &
Medium question. It needs to be
4 lines and should not promotion, 2 periods
Weekly
promotion, 2 periods after
promotion, 2 periods
the end. Use current values
Loyalty Member;
Quality – OK
Program cost in
dollars
This is a note
be readable. for member addresses …
This is a business
after the end. Use
after the end. Use
1 year prior to start of
Reservations & Revenue Lift,
question. It needs to be promotion, 2 periods after
Medium 4 lines and should not
be readable.
Weekly
current values for
current values for
the end. Use current values
for member addresses …
Loyalty Member;
Quality – OK
Capacity Filled
Lift, …
This is a business member addresses …
member addresses …
1 year prior to start of
Reservations & Revenue Lift,
question. It needs to be promotion, 2 periods after
Low 4 lines and should not
Weekly
the end. Use current values
Loyalty Member; Capacity Filled
Quality – OK Lift, …
be readable. for member addresses …
Copyright DecisionPath Consulting 2011 — All Rights Reserved 14
15. From Requirements to BI Opportunities
Analytic Needs,
nts
ire ess
Metrics, KPIs
Business
me
Re Busin
Value
qu
Analytic Needs
Matrix
BI Program
BI
Plan
Opportunity
(Release
Map (Portfolio)
Strategy)
Data Source
nts
ire al
Analysis
qu nic
me
Re ech
Implementation
T
Risk
Technical
Architecture
Copyright DecisionPath Consulting 2011 — All Rights Reserved 15
16. Developing the BI Opportunity Portfolio
What specific BI project opportunities exist to deliver business value?
High Revenue Supply Chain
Management Analysis
High Risk /
Plums
Business Impact
Reward
Customer
Service Anal. Category
Inventory
Management Management
Easy Wins Why Do It?
Low
Low Risk High
Copyright DecisionPath Consulting 2011 — All Rights Reserved 16
17. BI Opportunity Checklist
Opportunity n Opportunity Checklist:
What business goals and strategies are in focus?
As is definition:
What information is currently available to support
these business goals and strategies
What business questions can’t be answered and why
is this a problem?
To be definition:
What type of BI capability (provide name) is needed?
How will this BI capability address the business
problem?
What specific business questions need to be
answered?
What business improvement opportunities can be
realized through using this BI capability?
How does this help achieve business goals and
strategies?
How will performance improvements be measured?
Copyright DecisionPath Consulting 2011 — All Rights Reserved 17
18. Use Requirements to Implement
Business Information Design &
Requirements Development
From Questions to Data Logical Models
Gather Information
Requirements
Prototype
TRACEABILITY
Definition of Terms
Alignment
Design Inputs Transformation Rules
Analytic Needs,
Metrics, KPIs
Reports Design
Analytic Needs Matrix
Development
Fact:Qualifier Matrix
Copyright DecisionPath Consulting 2011 — All Rights Reserved 18
19. Prototyping- From Opportunity to Design
User Profiles Usage Scenarios Delivery Methods
Business Process:
Customer Service -
Order Fulfillment
Execs and Senior Manage customer relationships
Management Business Activity This data use… Leads to this information…
Dashboards, Scorecards
Look at order fill rate by One set of customers are lower than the
customer average
Business Scenario Compare to target fill rate and We are not meeting target fill rates for these
explore year to date trends customers and service levels have dropped
Explore the orders by product Identify common traits for lower order fill
and location rates (similar products, shipping location,
Middle Management, etc)
Analysts, Power Users Offer promotions to retain these customers
Business Decisions Correct cause of lower fill rates (underestimated sales Reports
forecast, manufacturing problem, distribution center backlog)
Knowledge Workers, How will they use the
Casual Users information? OLAP, Ad-Hoc Query
Who will use the How should the
information? information be
delivered?
Copyright DecisionPath Consulting 2011 — All Rights Reserved 19