Presentation on 'The Softer Skills that Analysts need' presented by Paul Laughlin at a virtual event run for the Analytics Network group within the UK OR Society. Exploring Paul's 9 Step Model for effective analysis & explaining how Softer Skills are essential throughout that workflow.
The Softer Skills that analysts need (beyond Data Visualisation)Paul Laughlin
A talk I gave at #DataVizLive online event in Nov 2020. Introducing the Laughlin Consultancy 9-step model for Softer Skills needed by Analysts & previewing some of those steps (beyond data visualisation & storytelling skills).
The decision of selecting the right analytics service provider can’t be made lightly as the consequences can easily make or break a critical initiative, or career.
In this paper, you will learn how to choose the right analytics partner by defining:
1.The complexity of your business problem(s)
2.The nature of the desired solution
3.How you are currently addressing the issue
4.The depth and level of service desired
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
The Softer Skills that analysts need (beyond Data Visualisation)Paul Laughlin
A talk I gave at #DataVizLive online event in Nov 2020. Introducing the Laughlin Consultancy 9-step model for Softer Skills needed by Analysts & previewing some of those steps (beyond data visualisation & storytelling skills).
The decision of selecting the right analytics service provider can’t be made lightly as the consequences can easily make or break a critical initiative, or career.
In this paper, you will learn how to choose the right analytics partner by defining:
1.The complexity of your business problem(s)
2.The nature of the desired solution
3.How you are currently addressing the issue
4.The depth and level of service desired
The Softer Skills Analysts need to make an impactPaul Laughlin
25 min presentation given at London Business School, to the OR Society's Analytics Network. Summarising Laughlin Consultancy's 9 step model of Softer Skills for Analysts.
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Slides zum Impuls-Vortrag "Data Strategy & Governance" - BI or DIE LEVEL UP 2022
Aufzeichnung des Vortrags: https://www.youtube.com/watch?v=705DfyfF5-M
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
Iterative Discovery and Analysis: Workflow / Activity and Capability ModelJoe Lamantia
Models of the workflow and capabilities necessary for iterative discovery and analysis. Identifies the two primary cycles - Insight / Discovery, and Modeling - making up analysis workflow. Maps the deep structure of discovery and analysis activity using the Language of Discovery. Identifies core and enhancing capabilities necessary for analysis.
More Information:
https://flevy.com/browse/business-document/effective-staff-suggestion-system-kaizen-teian-157
BENEFITS OF DOCUMENT
Implement a strategy and mechanism to generate a constant flow of ideas.
Simplify the evaluation system to speed up the suggestions feedback process.
Learn effective approaches to develop creativity and improve participation rates.
DOCUMENT DESCRIPTION
Effective Staff Suggestion System is based on Kaizen Teian -- the Japanese-style proposal system for continuous improvement -- is the most direct and effective method for channeling employees' creative energies and hands-on insight.
This presentation focuses on the management, guidance, and development of an effective suggestion system. It explains the key aspects of running a suggestion system or proposal program on a day-to-day basis. This concise reference outlines the policies that support a "bottom-up" system of innovation and defines the three main objectives of a successful suggestion system: to build participation, develop individuals' skills, and achieve higher profits.
This comprehensive guide teaches the methods to plan, implement and sustain the program. It teaches strategy, mechanism, roles, process, and how employees should write good ideas.
LEARNING OBJECTIVES
1. Understand the key elements of a suggestion system
2. Define how to plan and launch an effective suggestion system
3. Describe how to set up a strategy and mechanism to generate ideas, capture quality ideas, evaluate ideas and sustain a constant flow of ideas
4. Explain how to develop employees to identify opportunities for improvement and write good quality ideas
5. Define success factors for sustaining a suggestion system
CONTENTS
1. Introduction to Kaizen
2. Introduction & Basic Concepts of a Suggestion System
3. Scope of Suggestions
4. Goals of a Suggestion System
5. Planning & Launching a Suggestion System
6. Roles & Responsibilities
7. The Suggestions Process
8. Evaluation & Award Systems
9. Examples of Effective Procedures
10. Techniques for Developing Creativity
11. Examples of Ideas for Improvement
12. Points for Improvement
13. Ways to Develop "Kaizen Eyes"
14. How to Sustain a Suggestion System
Got a question about this presentation? Email us at support@flevy.com.
Overview of Business Analytics and career lessons learnt / advice. Presentation delivered to Melbourne Business School - Masters of Business Analytics - July 2016.
A presentation on Talent Analytics or HR Analytics. This presentation gives various tools and parameters involved in HR Analytics and their Application.
IT Consultants as Change Agents in Digital Transformation Initiatives Nicolai Krüger
Conference presentation at the MKWI 2016 - full paper available on http://www.db-thueringen.de/servlets/DerivateServlet/Derivate-33064/ilm1-2016100021.pdf
Evaluating and comparing ERP systems can be complicated. Netsuite and Sage 100 ERP illustrate the differences. Read our free 18-page guide to evaluating the key considerations and advantages of leading systems.
Predictive project analytics: Will your project be successful?Deloitte Canada
We may not often ask ourselves whether our project will succeed for fear of the answer. But 63 percent of projects either fail or struggle to meet their budget or completion objectives. The more complex the project, the more likely it is to fail. A recent, high-profile example of this was the roll-out of the U.S. government’s healthcare.gov program. While the government acted quickly to fix major problems with the website, the glitch led many Americans to delay their decision to join the program and turned many others off altogether. Several factors contributed to the website’s failure, including incorrectly forecasting the performance requirements, not giving sufficient time for appropriate testing and underestimating the complexity of the project. The same shortcomings doom other projects, too.
To avoid making similar mistakes, leading organizations need to identify in advance which projects are more likely to end badly and how to give them the best shot at success. Predictive project analytics, or PPA, is a new approach that leverages advanced analytics to evaluate a given project’s likelihood of success. Read how it works and how it can help your organization.
A Glimpse into Software Defined Data CenterFung Ping
Note: This article is not published yet, it is for preview purpose. Interested publisher please contact hpfung1@gmail.com or hanping.fung@aeu.edu.my
A Glimpse into Software Defined Data Center
Abstract – Existing data centers today are not ready to support IT organizations to meet the ever changing business demands. Hence, next generation of data center like Software Defined Data Center (SDDC) is explored and expected to come to rescue. However, SDDC is relatively new since its inception in 2012 whereby there are different early interpretations on its definition, criteria, reference architecture and values that SDDC brings. There is also limited literature and sharing on how a SDDC works. The objective of this study is to shed some lights on SDDC operational definition, criteria, reference architecture, depiction on how SDDC works in three scenarios as well as standardized the values it brings. Moreover, some factors to guide IT organizations how to adopt SDDC are also discussed. This study has taken a qualitative approach in which SDDC literature is reviewed and some SDDC IT professionals are interviewed. Lastly, limitations of the study, future research and conclusion are also provided.
The Softer Skills analysts need to succeed in their careersPaul Laughlin
A talk that I gave to the UK's Operational Research Society's annual Analytics & AI Summit 2021 (#AS21). Focusing on the Contracting & Delivering parts of this training model.
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
Expert data analytics prove to be highly transformative when applied in context to corporate business strategies.
This webinar covers various approaches and strategies that will give you a detailed insight into planning and executing your Data Analytics projects.
Slides zum Impuls-Vortrag "Data Strategy & Governance" - BI or DIE LEVEL UP 2022
Aufzeichnung des Vortrags: https://www.youtube.com/watch?v=705DfyfF5-M
Leading enterprise-scale big data business outcomesGuy Pearce
A talk specially prepared for McMaster University. There is more benefit to thinking about big data as a paradigm rather than as a technology, as it helps shape these projects in the context of resolving some of the enterprise's greatest challenges, including its competitive positioning. This approach integrates the operating model, the business model and the strategy in the solution, which improves the ability of the project to actually deliver its intended value. I support this position with a case study that created audited financial value for a major global bank.
Iterative Discovery and Analysis: Workflow / Activity and Capability ModelJoe Lamantia
Models of the workflow and capabilities necessary for iterative discovery and analysis. Identifies the two primary cycles - Insight / Discovery, and Modeling - making up analysis workflow. Maps the deep structure of discovery and analysis activity using the Language of Discovery. Identifies core and enhancing capabilities necessary for analysis.
More Information:
https://flevy.com/browse/business-document/effective-staff-suggestion-system-kaizen-teian-157
BENEFITS OF DOCUMENT
Implement a strategy and mechanism to generate a constant flow of ideas.
Simplify the evaluation system to speed up the suggestions feedback process.
Learn effective approaches to develop creativity and improve participation rates.
DOCUMENT DESCRIPTION
Effective Staff Suggestion System is based on Kaizen Teian -- the Japanese-style proposal system for continuous improvement -- is the most direct and effective method for channeling employees' creative energies and hands-on insight.
This presentation focuses on the management, guidance, and development of an effective suggestion system. It explains the key aspects of running a suggestion system or proposal program on a day-to-day basis. This concise reference outlines the policies that support a "bottom-up" system of innovation and defines the three main objectives of a successful suggestion system: to build participation, develop individuals' skills, and achieve higher profits.
This comprehensive guide teaches the methods to plan, implement and sustain the program. It teaches strategy, mechanism, roles, process, and how employees should write good ideas.
LEARNING OBJECTIVES
1. Understand the key elements of a suggestion system
2. Define how to plan and launch an effective suggestion system
3. Describe how to set up a strategy and mechanism to generate ideas, capture quality ideas, evaluate ideas and sustain a constant flow of ideas
4. Explain how to develop employees to identify opportunities for improvement and write good quality ideas
5. Define success factors for sustaining a suggestion system
CONTENTS
1. Introduction to Kaizen
2. Introduction & Basic Concepts of a Suggestion System
3. Scope of Suggestions
4. Goals of a Suggestion System
5. Planning & Launching a Suggestion System
6. Roles & Responsibilities
7. The Suggestions Process
8. Evaluation & Award Systems
9. Examples of Effective Procedures
10. Techniques for Developing Creativity
11. Examples of Ideas for Improvement
12. Points for Improvement
13. Ways to Develop "Kaizen Eyes"
14. How to Sustain a Suggestion System
Got a question about this presentation? Email us at support@flevy.com.
Overview of Business Analytics and career lessons learnt / advice. Presentation delivered to Melbourne Business School - Masters of Business Analytics - July 2016.
A presentation on Talent Analytics or HR Analytics. This presentation gives various tools and parameters involved in HR Analytics and their Application.
IT Consultants as Change Agents in Digital Transformation Initiatives Nicolai Krüger
Conference presentation at the MKWI 2016 - full paper available on http://www.db-thueringen.de/servlets/DerivateServlet/Derivate-33064/ilm1-2016100021.pdf
Evaluating and comparing ERP systems can be complicated. Netsuite and Sage 100 ERP illustrate the differences. Read our free 18-page guide to evaluating the key considerations and advantages of leading systems.
Predictive project analytics: Will your project be successful?Deloitte Canada
We may not often ask ourselves whether our project will succeed for fear of the answer. But 63 percent of projects either fail or struggle to meet their budget or completion objectives. The more complex the project, the more likely it is to fail. A recent, high-profile example of this was the roll-out of the U.S. government’s healthcare.gov program. While the government acted quickly to fix major problems with the website, the glitch led many Americans to delay their decision to join the program and turned many others off altogether. Several factors contributed to the website’s failure, including incorrectly forecasting the performance requirements, not giving sufficient time for appropriate testing and underestimating the complexity of the project. The same shortcomings doom other projects, too.
To avoid making similar mistakes, leading organizations need to identify in advance which projects are more likely to end badly and how to give them the best shot at success. Predictive project analytics, or PPA, is a new approach that leverages advanced analytics to evaluate a given project’s likelihood of success. Read how it works and how it can help your organization.
A Glimpse into Software Defined Data CenterFung Ping
Note: This article is not published yet, it is for preview purpose. Interested publisher please contact hpfung1@gmail.com or hanping.fung@aeu.edu.my
A Glimpse into Software Defined Data Center
Abstract – Existing data centers today are not ready to support IT organizations to meet the ever changing business demands. Hence, next generation of data center like Software Defined Data Center (SDDC) is explored and expected to come to rescue. However, SDDC is relatively new since its inception in 2012 whereby there are different early interpretations on its definition, criteria, reference architecture and values that SDDC brings. There is also limited literature and sharing on how a SDDC works. The objective of this study is to shed some lights on SDDC operational definition, criteria, reference architecture, depiction on how SDDC works in three scenarios as well as standardized the values it brings. Moreover, some factors to guide IT organizations how to adopt SDDC are also discussed. This study has taken a qualitative approach in which SDDC literature is reviewed and some SDDC IT professionals are interviewed. Lastly, limitations of the study, future research and conclusion are also provided.
The Softer Skills analysts need to succeed in their careersPaul Laughlin
A talk that I gave to the UK's Operational Research Society's annual Analytics & AI Summit 2021 (#AS21). Focusing on the Contracting & Delivering parts of this training model.
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
Are you getting the most out of your data?SAS Canada
Data is an organizations most valuable asset, but raw data by itself has little value. To drive data’s worth, it must be managed and processed to extract value and information that decision makers can leverage and turn into actionable insights. It is the ways in which a company choses to put that information to use that will determine the true value of its data.
Through business intelligence and business analytic tools, businesses are enabling themselves to make more strategic, accurate decisions, while optimizing business processes. Hear from Info-Tech Research Group and learn what you need to consider when choosing an analytics solution provider. The webinar will highlight Info-Tech Research Group’s recently published vendor landscape for selecting and implementing Business Intelligence and Business Analytics solutions. The report positions SAS as the only leader across all four categories of Enterprise BI, Mid-Market BI, Enterprise BA and Mid-Market BA.
This document is containing details about Business Analysis & Business Analyst the agendas are as below :
Introduction to Business Analysis
Scope of Business Analyst in IT & Non-IT Organizations
Require Skill Matrix & Prerequisites for Business Analyst
Business Analysis Methodology
Role Business Analyst in SDLC
Alternatives & BA Professional Courses
Introduction to CMMi Levels & Role of BA in CMMi Levels
The People Skills analysts need to succeed in their careersPaul Laughlin
Slides from a webinar that I presented. Sharing some of the highlights of my one-day online training course on People Skills for Analysts, including my 9-step-model for effective analysis. Further details available from: http://laughlinconsultancy.com
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
Watch full webinar here: https://bit.ly/3aWI8lt
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organisations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace
- Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
Analytics thought-leader Thomas Davenport and leading industry experts discuss how—and why—organizations like yours use business analytics to empower more timely and precise decisions by bringing new insights into daily operations.
You had a strategy. You were executing it. You were then side-swiped by COVID, spending countless cycles blocking and tackling. It is now time to step back onto your path.
CCG is holding a workshop to help you update your roadmap and get your team back on track and review how Microsoft Azure Solutions can be leveraged to build a strong foundation for governed data insights.
Building a Complete View Across the Customer Experience on Oracle BICSShiv Bharti
Many organizations today are using a Modern Business Intelligence Platform or Big Data to eliminate Customer Blind Spots. When most firms refer to Big Data, they are not necessarily using “BIG” data, the term is used interchangeably with Analytics by most of our Customers.
Organizations today are increasingly relying on Data to make strategic decisions. Marketing Departments are using Predictive analytics to identify the Prospects or segments that will give their firms the most “lift” and thus highest ROI.
What are Customer Blind Spots?
Gaps in your view of the customer relationship across time
No formal social media listening data
Lack of cross-device identity
Inability for organizations to deliver personalized customer experiences
Inability to apply predictive analytics to customer behavior to optimize products and services
What are the Challenges to eliminate blind spots?
Disparate Data sources
Multiple Sources of the truth
Growth in Data Volumes
Data Migration Challenges
Fundamental Considerations for a Customer 360 project
Customer 360 project should focus on making substantial improvements in 5 key areas: Improve data quality, create Linkages across our various systems, centralize disparate information, transform the data to enable action and insights, and streamline the manner in which data is accessed and available.
Each pillar contains a stream of work broken into parallel paths to accelerate the rollout and adoption of the platform.
If you’re attending @Oracleopenworld (#oow16) and are considering a project to build a Customer 360-degree view by eliminating Customer Blind spots, please join us for our session to learn more on this subject including a customer case study. We look forward to a great session and stimulating conversations.
Building a Complete View Across the Customer Experience on Oracle BI Cloud Service [CON3730]
Monday, Sep 19, 4:15 p.m. – 5:00 p.m. | Moscone West – 2006
Data Leadership talk for CIIA March 2022.pdfPaul Laughlin
Slides presented to the Chartered Institute of Internal Auditors on the challenge of being a data leader & the skills needed for such leaders (and their teams) to succeed.
You can read more about this event here:
Business analytics and its basic concepts
The presentation can help you to understand the basic concepts of business analytics, process of analytics, scope and nature of analytics, types of analytics and advantages of analytics.
Big data is not only transforming the way we make decisions, but also the way that organizations recruit, manage and develop their people, driving engagement, innovation and productivity to new peaks.
Explore the future of cloud-based human capital management, and demonstrate how what you do today will influence and energize your company for decades to come.
Customer data platforms (CDPs) are now ubiquitous and have created a lot of buzz. But many marketers are still unsure exactly how they work and how they enhance advertising strategies. The answer: nothing is more important than first-party customer data. Learn how to successfully optimize your current marketing efforts by utilizing your first-party customer data and enhance your value proposition messaging to grow sales.
These slides were presented by Pauline Chow, Lead Instructor in Data Science & Analytics, General Assembly for her talk at Data Science Pop Up LA in September 14, 2016.
Tips for Effective Data Science in the EnterpriseLisa Cohen
Data Science is an evolving field, that requires a diverse skill set. From Career Advice to steps for how to approach your Data Science Workflow, this talk is full of practical tips that you can apply immediately to your job.
Similar to Presentation to Analytics Network of the OR Society Nov 2020 (20)
Big Data and Analytics in your Organisation talk.pdfPaul Laughlin
My presentation to the ILA Digital Community Showcase event at the Vale Hotel in Glamorgan on 7 Oct 2022. Introducing the topic of Digital Transformation to healthcare leaders in Wales.
Do data leaders face unique challenges as leaders?Paul Laughlin
A leadership development talk given to private event for senior data leaders - it sparked some really useful conversations. To find out more please checkout: http://laughlinconsultancy.com
It's so important at this time to use trusted sources for your analysis & Data Viz, even in simple dashboards. This deck helps reveal some of the sources you can use.
Sharing results of researching 1k UK consumers on their digital customer experience, to show need for positive response to GDPR & the key role of Identity Relationship Management.
How life-event data can improve & protect your marketing in a post-GDPR worldPaul Laughlin
Understanding the role of life-event data and life-event marketing in both improving marketing effectiveness and protecting consumer interest/reach following GDPR enforcement. Sponsored by Royal Mail Data Services and MyCustomer.com
Softer Skills workshop for #DTS16 event in EdinburghPaul Laughlin
Slides presented as keynote workshop at Data Talent Scotland 2016 event, brining together Data Science students, academics, employers & data industry for conversation & talent pipeline.
Presentation at Big Data & Analytics for Insurance 2016Paul Laughlin
Presentation on the Softer Skills that Data professionals also need to make an impact. Summary of key lessons from the very popular Consultancy Skills for Analysts training course from LaughlinConsultancy.com
Behavioural economics for The Financial Services Forum members conference 2015Paul Laughlin
A brief introduction to Behavioural Economics and suggestions for getting started with applying such hypotheses to improving customer communications. Presented at The Financial Services Forum annual members conference in March 2015.
An introduction to Laughlin Consultancy. Who we are, what we do & why companies need help with Customer Insight Leadership. Our Services include Consultancy, Training & Coaching. Happy to chat further if you want to maximise the value of your Customer Insight.
Presentation on Measuring Marketing Effectiveness which I presented at #CAI2015 in London on 25 Feb 2015. A review of that event can be found at: http://customerinsightleader.com/events/event-cai2015/
Gain Deeper Insights: Using analytics and research to generate insightsPaul Laughlin
An introduction to Customer Insight, explaining what it is & how to pull multiple technical skills together to generate customer insights which provoke action. Paul Laughlin shares learning from over a decade of creating and leading customer insight teams to make £10m difference p.a. to bottom lines.
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
Business Valuation Principles for EntrepreneursBen Wann
This insightful presentation is designed to equip entrepreneurs with the essential knowledge and tools needed to accurately value their businesses. Understanding business valuation is crucial for making informed decisions, whether you're seeking investment, planning to sell, or simply want to gauge your company's worth.
Personal Brand Statement:
As an Army veteran dedicated to lifelong learning, I bring a disciplined, strategic mindset to my pursuits. I am constantly expanding my knowledge to innovate and lead effectively. My journey is driven by a commitment to excellence, and to make a meaningful impact in the world.
Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
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RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
What is the TDS Return Filing Due Date for FY 2024-25.pdfseoforlegalpillers
It is crucial for the taxpayers to understand about the TDS Return Filing Due Date, so that they can fulfill your TDS obligations efficiently. Taxpayers can avoid penalties by sticking to the deadlines and by accurate filing of TDS. Timely filing of TDS will make sure about the availability of tax credits. You can also seek the professional guidance of experts like Legal Pillers for timely filing of the TDS Return.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
Sustainability: Balancing the Environment, Equity & Economy
Presentation to Analytics Network of the OR Society Nov 2020
1. Paul Laughlin, Host of Customer Insight Leader podcast & Founder of Laughlin Consultancy
Developing the skills Analysts need
How to make a difference in your organisation with People Skills
2. Client-side to Agency-side
Created and lead data & analytics
teams, for all general & life
insurance businesses across
Lloyds Bank Group, over 13 years.
Added over £11m incremental
profit to bottom line annually.
Developed team of 44 analysts &
mentored future leaders.
My Career Journey
“Helping exceptional teams master the
people side of analytics”
2
6. To achieve that needs Commercial Focus
Data & Analytics leaders confirm relevance trumps sophistication
6
7. There’s a focus on developing skills needed
But all too often that focus is solely on Technical Skills
7
EDSF Release 2: Part 1. Data Science Competence Framework (CF-DS)
Table 4.2. Identified Data Science skills related to the main Data Science competence groups
SDSDA
Data Science
Analytics
SDSENG
Data Science
Engineering
SDSDM
Data Management
SDSRM
Research Methods
and Project
Management
SDSBA
Business Analytics
SDSDA01
Use Machine Learning
technology,
algorithms, tools
(including supervised,
unsupervised, or
reinforced learning)
SDSENG01
Use systems and
software engineering
principles to
organisations
information system
design and development,
including requirements
design
SDSDM01
Specify, develop and
implement enterprise
data management and
data governance
strategy and
architecture, including
Data Management Plan
(DMP)
SDSRM01
Use research methods
principles in developing
data driven applications
and implementing the
whole cycle of data
handling
SDSBA01
and Business
Intelligence (BI)
methods for data
analysis; apply
cognitive
technologies and
relevant services
SDSDA02
Use Data Mining
techniques
SDSENG02
Use Cloud Computing
technologies and cloud
powered services design
for data infrastructure
and data handling
services
SDSDM02
Data storage systems,
data archive services,
digital libraries, and their
operational models
SDSRM02
Design experiment,
develop and implement
data collection process
SDSBA02
Apply Business
Processes
Management (BPM),
general business
processes and
operations for
organisational
processes
analysis/modelling
SDSDA03
Use Text Data Mining
techniques
SDSENG03
Use cloud based Big Data
technologies for large
datasets processing
systems and applications
SDSDM03
Define requirements to
and supervise
implementation of the
hybrid data management
infrastructure, including
enterprise private and
public cloud resources
and services
SDSRM03
Apply data lifecycle
management model to
data collection and data
quality evaluation
SDSBA03
Apply Agile Data
Driven
methodologies,
processes and
enterprises
SDSDA04
Apply Predictive
Analytics methods
SDSENG04
Use agile development
technologies, such as
DevOps and continuous
improvement cycle, for
data driven applications
SDSDM04
Develop and implement
data architecture, data
types and data formats,
data modeling and
design, including related
technologies (ETL, OLAP,
SDSRM04
Apply structured
approach to use cases
analysis
SDSBA04
Use Econometrics for
data analysis and
applications
EDSF Release 2: Part 1. Data Science Competence Framework (CF-DS)
Table 4.3. Required skills related to analytics languages, tools, platforms and Big Data infrastructure 6
DSDALANG
Data Analytics
and Statistical
languages and
tools
DSADB
Databases and
query
languages
DSVIZ
Data/Applicatio
ns visualization
DSADM
Data
Management
and Curation
platform
DSBDA
Big Data
Analytics
platforms
DSDEV
Development and
project
management
frameworks,
platforms and tool
DSDALANG01
R and data analytics
libraries (cran,
ggplot2, dplyr,
reshap2, etc.)
DSADB01
SQL and
relational
databases (open
source:
PostgreSQL,
mySQL, Nettezza,
etc.)
DSVIZ01
Data visualization
Libraries
(mathpoltlib,
seaborn, D3.js,
FusionCharts,
Chart.js, other)
DSADM01
Data modelling
and related
technologies (ETL,
OLAP, OLTP, etc.)
DSBDA01
Big Data and
distributed
computing tools
(Spark,
MapReduce,
Hadoop, Mahout,
Lucene, NLTK,
Pregel, etc.)
DSDEV01
Frameworks: Python,
Java or C/C++, AJAX
(Asynchronous
Javascript and XML),
D3.js (Data-Driven
Documents), jQuery,
others
DSDALANG02
Python and data
analytics libraries
(pandas, numpy,
mathplotlib, scipy,
scikit-learn,
seaborn, etc.)
DSADB02
SQL and
relational
databases
(proprietary:
Oracle, MS SQL
Server, others)
DSVIZ02
Visualisation
software (D3.js,
Processing,
Tableau, Raphael,
Gephi, etc.)
DSADM02
Data Warehouse
platform and
related tools
DSBDA02
Big Data Analytics
platforms
(Hadoop, Spark,
Data Lakes, others)
DSDEV02
Python, Java or
C/C++ Development
platforms/IDE
(Eclipse, R Studio,
Anaconda/Jupyter
Notebook, Visual
Studio, Jboss,
Vmware, others)
DSDALANG03
SAS
DSADB03
NoSQL Databases
(Hbase,
MongoDB,
Cassandra, Redis,
Accumulo, etc.)
DSVIZ03
Online
visualization tools
(Datawrapper,
Google
Visualisation API,
Google Charts,
Flare, etc)
DSADM03
Data curation
platform,
metadata
management (ETL,
Curator's
Workbench,
DataUp, MIXED,
etc)
DSBDA03
Real time and
streaming
analytics systems
(Flume, Kafka,
Storm)
DSDEV03
Git versioning system
as a general platform
for software
development
DSDALANG04
Julia
DSADB 04
Hive (query
language for
Hadoop)
DSADM04
Backup and
storage
management
(iRODS, XArch,
Nesstar, others)
DSBDA04
Hadoop
Ecosystem/platfor
m
DSDEV04
Scrum agile software
development and
management
methodology and
platform
DSDALANG05
IBM SPSS
DSADB 05
Data Modeling
(UML, ERWin,
DDL, etc)
DSBDA05
Azure Data
Analytics
platforms
(HDInsight, APS
Source: EDISON Data Science Framework (2017)
8. Experienced leaders say otherwise
Like me they see the need to focus on “Softer” People Skills
8
9. So, I’ve developed a model
to explain the skills needed
Introducing a model to explain
the People Skills needed at each
stage for analysts or Data
Science teams to achieve impact
10. Sharing four pieces of that puzzle
In this talk I’ll introduce you to these parts of that Model
10
11. (1) Questioning to get to
the real business need
Socratic Questioning skills to get
beneath the request to what the
business really needs and how
what is delivered will be used.
13. Getting clarity on need not want
Practice using questions to get clarity on
what they need, not just what they want:
• Concept clarification questions
• Probing assumptions
• Probing rationale, reasons & evidence
• Questioning viewpoints & perspectives
• Probe implications & consequences
Socratic questioning
13
15. (3) Securing buy-in from
the key players
Identifying, prioritising and
managing stakeholder relationships
to ensure you manage expectations
& communicate/collaborate well.
16. Step 1: 360-degree MindMapping consider all those impacted
Focus using Stakeholder Mapping
16
IT
Developers
Business
Architect
Finance
BP
Compliance
Competitors
CMO
CEO
CIO CRO
NEDs
City
Analysts
Your
Managers
Chairman
Your
Analysts
CFO
Regulators
Market
Tech
Vendors
Gartner/
Forrester
Benchmarks
Consumer
Groups
Customers
COO
Finance
Peers
Risk
Peers
Marketing
Peers
You
Legal
Peers
Ops
Peers
IT
Peers
Teams
supplying
data
Teams
supporting
systems
External
data
suppliers
CX ManagersIT Managers
Finance
Managers
Risk
Managers
Legal
Managers
Finance
Teams
Risk Teams Legal Teams
IT
BP
17. Step 2: Prioritise those who need more of your time
Focus using Stakeholder Mapping
18. Step 3: Bring both tools together to decide where to act
Focus using Stakeholder Mapping
High Influence
Low Influence
High
Interest
Low
Interest
CMO
CEO
CIO CRO
CFO COO
Your
Managers
Your
Analysts
Business
Architect
IT
BP
Marketing
Peers
Teams
supplying
data
Finance
Teams
Compliance
Review all stakeholders
None on the Axes
Ruthless Prioritisation
19. Segment your stakeholders to better understand their styles
Flex your style to work for each Stakeholder
Spotting a Pioneer
Pioneer motto: Have
fun. It’s just work.
Spotting a Driver
Driver motto: And your
point is…?
Spotting an Integrator
Integrator motto:
Consensus Rules!
Spotting a Guardian
Guardian motto:
Changing the World, One
Spreadsheet at a Time
19 https://www2.deloitte.com/us/en/pages/operations/solutions/business-chemistry.html
20. How to map & segment your stakeholders to focus your efforts
Further guidance is available on my blog
20
22. (6) Generate insights to
understand behaviour
Generation of deeper insights
into motivation and triggers for
behaviour seen in analysis, using
structured questioning &
converging evidence.
23. Converging evidence from four possible sources to spot themes
Generating Insight means convergence
23
Media and Technology Trends
Regulatory Environment
Socioeconomic Stats
Competitor Intelligence
Market Developments
Qualitative Research
Quantitative Studies
Tracking Studies
Meeting Customers F2F
Customer Complaints
Listening in at Call Centre
Those who meet customers
Sales, Customer &
Transactional data
Communication
Evaluations
Behavioural
Data
Environm
ent
Research
Custom
er
Connection
Customer Personas/Vox pops
Customer Experience Study
Market Intel. Team
External MI Database
Data Team
Analysis Team
Research Team
Customer facing
Colleagues
24. Can use structured questioning techniques to build bridges
Customer Insight Generation workshops
24
Through the steps of an Insight Generation workshop, attendees are
building a bridge from the current customer behaviour to the desired
customer behaviour, via Analytical Thinking about deeper motivations…
BEHAVIOUR NOW
MOTIVATION
BEHAVIOUR THEN
WHY NOW WHY THEN
25. How to run an Insight Generation workshop
Further guidance is available on my blog
25
27. (8) Communicate a
compelling visual story
Use best practice storytelling
and data visualisation skills to
communicate key findings,
implications for business and
recommended action(s).
29. Focus on understanding your audience
Clarify their needs and your key message
29
Who?
(understand
stakeholders)
What?
(do they
need to
know or do)
How?
(will you
communicate
with them)
From “Storytelling with Data” (2015) by Cole Nussbaumer Knaflic
3 MINUTE
STORY
THE BIG
IDEA
LOW-TECH
STORYBOARDING
36. Make use of Slide template & Headlines
Titles are precious space that should tell your story for you
36
[ information classification: e.g. confidential ] Slide 3
§ Use a ‘strapline’ box if needed to land the
message about an additional key learning
from the slide (almost enough for headline)
§ Or to call out the impact/action needed,
again referenced in Exec summary slide
ATTENTION GRABBING STATEMENT IN SINGLE LINE
Summarise the most important insight to be taken from this slide, what does the
evidence below teach us about customer view/action & commercial risk/opportunity
§This is summary of data visualisation slides,
use single summary visualisation slide prior
to detail slides with 1 visualisation each.
§Explain the understanding gained from each
table or graph.
§Do not use comments to just talk through
what the graphs shows, a good data
visualisation should speak for itself.
§Rather highlight in each bullet a separate
key point learned from the information
displayed in graphs.
§Focus on the understanding gained from
data that is relevant to the business problem
or opportunity being addressed.
§Only have the number of bullets needed to
land clear points – do not be afraid of white
space that helps the slide look less cluttered
Key understanding
Source: Quote the data/report source of information shown
At most 4 suitable data visualisations With clear explanatory headings
Each graphic should show new perspective Plus vary the graphical form
[ information classification: e.g. confidential ] Slide 5
§ Use a ‘strapline’ box if needed to land the
message about an additional key learning
from the slide (almost enough for headline)
§ Or to call out the impact/action needed,
again referenced in Exec summary slide
ATTENTION GRABBING STATEMENT IN SINGLE LINE
Summarise the most important insight to be taken from this slide, what does the
evidence below teach us about customer view/action & commercial risk/opportunity
§Explain the understanding gained
from data visualisation.
§Do not use comments to just talk
through what the graph shows, a
good data visualisation should
speak for itself.
§Rather highlight in each bullet a
separate key point learned from
the information displayed in graph.
§Focus on the understanding
gained from data that is relevant to
the business problem or
opportunity being addressed.
§Only have the number of bullets
needed to land clear points – do
not be afraid of white space that
helps the slide look less cluttered
Key understanding
Source: Quote the data/report source of information shown
Usually only 1 data visualisation (adjust width as needed)
[ information classification: e.g. confidential ] Slide 4
§ Use a ‘strapline’ box if needed to land the
message about an additional key learning
from the slide (almost enough for headline)
§ Or to call out the impact/action needed,
again referenced in Exec summary slide
ATTENTION GRABBING STATEMENT IN SINGLE LINE
Summarise the most important insight to be taken from this slide, what does the
evidence below teach us about customer view/action & commercial risk/opportunity
§Explain the understanding gained from data
visualisation (showing detail in context).
§Do not use comments to just talk through
what the graph shows, a good data
visualisation should speak for itself.
§Rather highlight in each bullet a separate
key point learned from the information
displayed in graph.
§Focus on the understanding gained from
data that is relevant to the business problem
or opportunity being addressed.
§Only have the number of bullets needed to
land clear points – do not be afraid of white
space that helps the slide look less cluttered
Key understanding
Source: Quote the data/report source of information shown
Usually only 1 data visualisation
[ information classification: e.g. confidential ] Slide 2
Conclusion (need for action):
§ Most important point from above, drawing out implication.
§ Ensure also cover the implication/risk of inaction, given the above.
Recommended action to be taken:
§ Specific action that is recommended, this should equate to what will be reported in any monthly report, or followed up by any
stakeholder managers; to ensure action is taken and value-add is measured (so quote potential £ benefit if agreed).
EXECUTIVE SUMMARY
Key understanding gained and actions recommended from this data/analysis/research
Slide: Key insights:
3 è Include the key insight to be taken away from this slide, which should normally also be the headline/title of that slide as
well. Focus on getting across the single most important point.
è If needed, only if there are two or three important points that need to be understood to support action, a subsequent bullet
can be added. This should normally be the text of the strap-line box on slide referenced.
4 è Include the key insight to be taken away from this slide, which should normally also be the headline/title of that slide as
well. Focus on getting across the single most important point.
5 è Include the key insight to be taken away from this slide, which should normally also be the headline/title of that slide as
well. Focus on getting across the single most important point.
6 è Include the key insight to be taken away from this slide, which should normally also be the headline/title of that slide as
well. Focus on getting across the single most important point.
7
8
è Include the key insight to be taken away from this slide, which should normally also be the headline/title of that slide as
well. Focus on getting across the single most important point.
è Ensure the flow of the above points tells a story; it needs to be a rationale, methodical presentation of a case with a good
clear narrative flow.
38. That’s your preview
Where might you need to
develop your People Skills to be
a more effective Analyst?
39. Take action in the next 2 weeks
Action-orientated learning
39
?
What one thing will you do differently (within the next 2 weeks) as a result of this webinar?
40. Further details are available
How to contact me…
40
@LaughlinPaul
+44 (0)7446 958061
linkedin.com/in/paullaughlin
paul@laughlinconsultancy.com