This was a talk I gave in IIM Bangalore in March 2012 to Business Analytics professionals on the analytics of consulting. It covers the hypothesis driven approach to problem solving that is the core of solving problems and walks through the entire lifecycle of a management consulting assignment.
This Slideshare presentation is a partial preview of the full business document. To view and download the full document, please go here:
http://flevy.com/browse/business-document/issue-based-work-planning-and-hypothesis-problem-solving-377
The principles behind Issue-Based Work Planning are a powerful concept for use on all business issues and help to align the approach with the overriding issues, rather than the traditional process structure.
They help ensure that all relevant project issues are covered and to arrive at the most robust and creative answer, by linking analyses and end products to a methodical analysis of key issues.
This powerpoint is suitable for anyone who is looking for a robust methodology to solve the most complex of issues.
Comprehensive guide on how to build a marketing strategy that will beat the competition and drive growth.
A step-by-step guide that will show you how to build a winning marketing strategy by following the best practices of the top 3 global management consulting firms (BCG, Bain, McKinsey)
this is a problem-solving toolkit, it's really useful it has different Approaches to solving problems everybody can use organizations, business people even familes
This Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Strategy Consultants, after more than 3,000 hours of work. It is considered the world's best & most comprehensive Strategy Toolkit. It includes all the Frameworks, Analysis Tools & Document Templates required to excel in a Strategy position and define & implement a winning Strategy for your organization. This Slideshare presentation is only a small sample of our Toolkit. You can download the entire Toolkit at www.slidebooks.com
How to create a management consulting presentationAsen Gyczew
In management consulting you are delivering your advices, observation and analyses using presentations. On some projects you may be producing as much as 200-300 slides. Slide preparation is very time-consuming and you have to make sure that you structure you work properly to deliver according to promised deadlines.
In this presentation I will show you how to prepare a great presentation for your customer that will help you deliver your thoughts in a coherent manner and win him over. I will teach you how to prepare the presentation in the right order so you do not waste your time. You will also learn what type of slides you can consider and when you should use a specific type of slide.
This presentation is based on my 12 years of experience as a consultant in top consulting companies and as a Board Member responsible for strategy, improvement and turn-arounds in biggest companies from FMCG, SMG, B2B sector that I worked for. I have not only delivered presentations on numerous projects myself but I was also receiving presentations from consulting companies such as PwC, BCG, McKinsey, EY, Accenture, OCC as a Board Member in many companies. I have seen the process of preparing and delivering presentations form all angles. On the basis of what you will find in this course and I have trained over 100 business analysts and consultants who now are Investment Directors, Senior Analyst, Directors in Consulting Companies, Board Members etc.
This Slideshare presentation is a partial preview of the full business document. To view and download the full document, please go here:
http://flevy.com/browse/business-document/issue-based-work-planning-and-hypothesis-problem-solving-377
The principles behind Issue-Based Work Planning are a powerful concept for use on all business issues and help to align the approach with the overriding issues, rather than the traditional process structure.
They help ensure that all relevant project issues are covered and to arrive at the most robust and creative answer, by linking analyses and end products to a methodical analysis of key issues.
This powerpoint is suitable for anyone who is looking for a robust methodology to solve the most complex of issues.
Comprehensive guide on how to build a marketing strategy that will beat the competition and drive growth.
A step-by-step guide that will show you how to build a winning marketing strategy by following the best practices of the top 3 global management consulting firms (BCG, Bain, McKinsey)
this is a problem-solving toolkit, it's really useful it has different Approaches to solving problems everybody can use organizations, business people even familes
This Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Strategy Consultants, after more than 3,000 hours of work. It is considered the world's best & most comprehensive Strategy Toolkit. It includes all the Frameworks, Analysis Tools & Document Templates required to excel in a Strategy position and define & implement a winning Strategy for your organization. This Slideshare presentation is only a small sample of our Toolkit. You can download the entire Toolkit at www.slidebooks.com
How to create a management consulting presentationAsen Gyczew
In management consulting you are delivering your advices, observation and analyses using presentations. On some projects you may be producing as much as 200-300 slides. Slide preparation is very time-consuming and you have to make sure that you structure you work properly to deliver according to promised deadlines.
In this presentation I will show you how to prepare a great presentation for your customer that will help you deliver your thoughts in a coherent manner and win him over. I will teach you how to prepare the presentation in the right order so you do not waste your time. You will also learn what type of slides you can consider and when you should use a specific type of slide.
This presentation is based on my 12 years of experience as a consultant in top consulting companies and as a Board Member responsible for strategy, improvement and turn-arounds in biggest companies from FMCG, SMG, B2B sector that I worked for. I have not only delivered presentations on numerous projects myself but I was also receiving presentations from consulting companies such as PwC, BCG, McKinsey, EY, Accenture, OCC as a Board Member in many companies. I have seen the process of preparing and delivering presentations form all angles. On the basis of what you will find in this course and I have trained over 100 business analysts and consultants who now are Investment Directors, Senior Analyst, Directors in Consulting Companies, Board Members etc.
Complete Business Frameworks Toolkit - Strategy, Marketing, Operations, Consu...Flevy.com Best Practices
Download this primer now from slideshare.
Full version here:
https://flevy.com/browse/business-document/complete-consulting-frameworks-toolkit-644
This is a very comprehensive document with over 350+ slides--covering 51 common management consulting frameworks and methodologies (listed below in alphabetical order). A detailed summary is provided for each business framework. The frameworks in this deck span across Corporate Strategy, Sales, Marketing, Operations, Organization, Change Management, and Finance.
These frameworks and templates are the same used by top tier consulting firms. With this comprehensive document in your back pocket, you can find a way to address just about any problem that can arise in your organization.
The level of detail varies by framework, depending on the nature of the management model. Examples, templates, and case studies are provided.
FULL LIST OF MANAGEMENT CONSULTING FRAMEWORKS & METHODOLOGIES:
1. ABC Analysis
2. Adoption Cycle ( Consumer Adoption Curve)
3. Ansoff Market Strategies
4. Balanced Scorecard
5. BCG Growth-Share Matrix
6. Benchmarking
7. Blue Ocean Strategy
8. Break-even Analysis
9. Business Unit Profitability
10. Economics of Scale
11. Environmental Analysis
12. Experience Curve
13. Cluster Analysis
14. Company & Competitor Analysis
15. Consumer Decision Journey ( McKinsey Consumer Decision Journey)
16. Core Competence Analysis
17. Cost Structure Analysis
18. Customer Experience
19. Customer Satisfaction Analysis
20. Customer Value Proposition
21. Fiaccabrino Selection Process
22. Financial Ratios Analysis
23. Gap Analysis
24. Industry Attractiveness & Business Strength Assessment
25. Key Purchase Criteria
26. Key Success Factors (KSF)
27. Market Sizing & Share
28. McKinsey 7-S
29. Net Present Value
30. PEST Analysis
31. Porter Competition Strategies
32. Porter's Five Forces
33. Portfolio Strategies
34. Price Elasticity
35. Product Life Cycle
36. Product Substitution
37. Relative Cost Positioning
38. Rogers' Five Factors
39. Scenario Techniques
40. Scoring Models
41. Segment Attractiveness
42. Segmentation & Targeting
43. Six Thinking Hats
44. Stakeholder Analysis
45. Strengths & Weaknesses Analysis
46. Structure-Conduct-Performance (SCP)
47. SWOT Analysis
48. SWOT Strategies
49. Treacy / Wiersema Market Positioning
50. Value Chain Analysis
51. Venkat Matrix
resentation design is a tricky creative process- You might even call it an art. If you get it right and create a great presentation, you're far more likely to achieve your goals – whether that's selling more or helping people see your point of view. Hence, storyboarding your PowerPoint presentation is a surefire way to make sure that it covers the key points and hits the mark.
It started with comic books and the film industry, and now storyboarding has a place in every executives repertoire of skills. Take a look and give this a shot!
New trends have moved marketing the cusp of a new golden age. To deliver on the promise, marketing needs to execute on the 5S approach: science, simplicity, substance, speed, and story. This presentation walks through what marketers and business leaders need to get right to execute all of them. This presentation is based on a public webinar given by McKinsey partners Jonathan Gordon and Jesko Perrey.
Find out more from our Marketing and Sales practice: http://www.mckinsey.com/client_service/marketing_and_sales
The mckinsey way "How consulting company works"Suhag Mistry
Presentation on book "The Mckinsey Way" I have tried to cover key points described in book on How Mckinsey manages the company and culture of the organization.
Management consultant toolkit in Powerpoint & Excel created by ex-Deloitte & McKinsey Consultants. Huge time saver.
Download the toolkit at www.slidebooks.com
The enterprise software industry is being transformed by substantial investor capital, Cloud 2.0, artificial intelligence, data protection, preferred platforms, and a talent shortage, leading stakeholders of all kinds to make big changes, and big choices.
Management Consulting Toolkit with Great Powerpoint PresentationsAurelien Domont, MBA
Go to www.slidebooks.com to Download and Reuse Now a Management Consulting Toolkit with Great Powerpoint Presentations | Created By ex-McKinsey & Deloitte Consultants.
Risk Management Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
This Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants specialized in risk management. It will help you easily identify, assess, prioritize and mitigate the key risks & issues of your project or company. It includes all the Frameworks, Tools & Templates to help your increase your risk management skills and the risk management capability of your company. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit in Powerpoint and Excel at www.slidebooks.com
Go to www.slidebooks.com to access the editable version in Powerpoint and Excel of this Business Toolkit created by former management consultants from Deloitte and McKinsey.
Leadership and Managerial Skills Toolkit - Framework, Best Practices and Temp...Aurelien Domont, MBA
This Toolkit was created by ex-McKinsey, Deloitte & BCG Management Consultants specialized in coaching leaders and managers. It will help you (I) Resolve complex problems and structure your reasoning, (II) Communicate effectively, (III) Negotiate effectively, (IV) Manage your time, (V) Manage your team, (VI) Define who you want to be, and what you want to achieve. This Toolkit was used to train the leadership team and the managers of multiple Fortune Global 1000 firms. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit in Powerpoint and Excel at www.slidebooks.com
Operational Excellence Models, Strategies, Principles & ToolsAurelien Domont, MBA
Toolkit Downloadable at www.slidebooks.com | Created By ex-McKinsey & Deloitte Consultants | Download and Reuse Now 10+ Operational Excellence Models, Strategies, Principles & Tools.
Strategy is one of the most dreaded subjects in any business. There are so many conflicting frameworks that are difficult to decide what to choose. In this presentation, you will learn a framework that will help you formulate and execute the strategy for your businesses on the level of top consulting firms i.e. McKinsey, BCG, Bain, PwC, EY. You will also see how others are implementing their strategic choices. What you will see here is a part of my online course: https://bit.ly/StrategyForConsultants
Check also the course on M&A: https://bit.ly/MAMConsulting
M&A is one of the way to expand the business, disrupt others and protect yourself against disruption. We will see how this has been achieved by Disney and Amazon
What is Strategy - Thinking like a StrategistAmit Kapoor
What is Strategy? Strategy is a very young concept. Lets explore a little more about strategy and then go down the journey of understanding how to think like a strategist.
Complete Business Frameworks Toolkit - Strategy, Marketing, Operations, Consu...Flevy.com Best Practices
Download this primer now from slideshare.
Full version here:
https://flevy.com/browse/business-document/complete-consulting-frameworks-toolkit-644
This is a very comprehensive document with over 350+ slides--covering 51 common management consulting frameworks and methodologies (listed below in alphabetical order). A detailed summary is provided for each business framework. The frameworks in this deck span across Corporate Strategy, Sales, Marketing, Operations, Organization, Change Management, and Finance.
These frameworks and templates are the same used by top tier consulting firms. With this comprehensive document in your back pocket, you can find a way to address just about any problem that can arise in your organization.
The level of detail varies by framework, depending on the nature of the management model. Examples, templates, and case studies are provided.
FULL LIST OF MANAGEMENT CONSULTING FRAMEWORKS & METHODOLOGIES:
1. ABC Analysis
2. Adoption Cycle ( Consumer Adoption Curve)
3. Ansoff Market Strategies
4. Balanced Scorecard
5. BCG Growth-Share Matrix
6. Benchmarking
7. Blue Ocean Strategy
8. Break-even Analysis
9. Business Unit Profitability
10. Economics of Scale
11. Environmental Analysis
12. Experience Curve
13. Cluster Analysis
14. Company & Competitor Analysis
15. Consumer Decision Journey ( McKinsey Consumer Decision Journey)
16. Core Competence Analysis
17. Cost Structure Analysis
18. Customer Experience
19. Customer Satisfaction Analysis
20. Customer Value Proposition
21. Fiaccabrino Selection Process
22. Financial Ratios Analysis
23. Gap Analysis
24. Industry Attractiveness & Business Strength Assessment
25. Key Purchase Criteria
26. Key Success Factors (KSF)
27. Market Sizing & Share
28. McKinsey 7-S
29. Net Present Value
30. PEST Analysis
31. Porter Competition Strategies
32. Porter's Five Forces
33. Portfolio Strategies
34. Price Elasticity
35. Product Life Cycle
36. Product Substitution
37. Relative Cost Positioning
38. Rogers' Five Factors
39. Scenario Techniques
40. Scoring Models
41. Segment Attractiveness
42. Segmentation & Targeting
43. Six Thinking Hats
44. Stakeholder Analysis
45. Strengths & Weaknesses Analysis
46. Structure-Conduct-Performance (SCP)
47. SWOT Analysis
48. SWOT Strategies
49. Treacy / Wiersema Market Positioning
50. Value Chain Analysis
51. Venkat Matrix
resentation design is a tricky creative process- You might even call it an art. If you get it right and create a great presentation, you're far more likely to achieve your goals – whether that's selling more or helping people see your point of view. Hence, storyboarding your PowerPoint presentation is a surefire way to make sure that it covers the key points and hits the mark.
It started with comic books and the film industry, and now storyboarding has a place in every executives repertoire of skills. Take a look and give this a shot!
New trends have moved marketing the cusp of a new golden age. To deliver on the promise, marketing needs to execute on the 5S approach: science, simplicity, substance, speed, and story. This presentation walks through what marketers and business leaders need to get right to execute all of them. This presentation is based on a public webinar given by McKinsey partners Jonathan Gordon and Jesko Perrey.
Find out more from our Marketing and Sales practice: http://www.mckinsey.com/client_service/marketing_and_sales
The mckinsey way "How consulting company works"Suhag Mistry
Presentation on book "The Mckinsey Way" I have tried to cover key points described in book on How Mckinsey manages the company and culture of the organization.
Management consultant toolkit in Powerpoint & Excel created by ex-Deloitte & McKinsey Consultants. Huge time saver.
Download the toolkit at www.slidebooks.com
The enterprise software industry is being transformed by substantial investor capital, Cloud 2.0, artificial intelligence, data protection, preferred platforms, and a talent shortage, leading stakeholders of all kinds to make big changes, and big choices.
Management Consulting Toolkit with Great Powerpoint PresentationsAurelien Domont, MBA
Go to www.slidebooks.com to Download and Reuse Now a Management Consulting Toolkit with Great Powerpoint Presentations | Created By ex-McKinsey & Deloitte Consultants.
Risk Management Toolkit - Framework, Best Practices and TemplatesAurelien Domont, MBA
This Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants specialized in risk management. It will help you easily identify, assess, prioritize and mitigate the key risks & issues of your project or company. It includes all the Frameworks, Tools & Templates to help your increase your risk management skills and the risk management capability of your company. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit in Powerpoint and Excel at www.slidebooks.com
Go to www.slidebooks.com to access the editable version in Powerpoint and Excel of this Business Toolkit created by former management consultants from Deloitte and McKinsey.
Leadership and Managerial Skills Toolkit - Framework, Best Practices and Temp...Aurelien Domont, MBA
This Toolkit was created by ex-McKinsey, Deloitte & BCG Management Consultants specialized in coaching leaders and managers. It will help you (I) Resolve complex problems and structure your reasoning, (II) Communicate effectively, (III) Negotiate effectively, (IV) Manage your time, (V) Manage your team, (VI) Define who you want to be, and what you want to achieve. This Toolkit was used to train the leadership team and the managers of multiple Fortune Global 1000 firms. This Slideshare Powerpoint presentation is only a small preview of our Toolkit. You can download the entire Toolkit in Powerpoint and Excel at www.slidebooks.com
Operational Excellence Models, Strategies, Principles & ToolsAurelien Domont, MBA
Toolkit Downloadable at www.slidebooks.com | Created By ex-McKinsey & Deloitte Consultants | Download and Reuse Now 10+ Operational Excellence Models, Strategies, Principles & Tools.
Strategy is one of the most dreaded subjects in any business. There are so many conflicting frameworks that are difficult to decide what to choose. In this presentation, you will learn a framework that will help you formulate and execute the strategy for your businesses on the level of top consulting firms i.e. McKinsey, BCG, Bain, PwC, EY. You will also see how others are implementing their strategic choices. What you will see here is a part of my online course: https://bit.ly/StrategyForConsultants
Check also the course on M&A: https://bit.ly/MAMConsulting
M&A is one of the way to expand the business, disrupt others and protect yourself against disruption. We will see how this has been achieved by Disney and Amazon
What is Strategy - Thinking like a StrategistAmit Kapoor
What is Strategy? Strategy is a very young concept. Lets explore a little more about strategy and then go down the journey of understanding how to think like a strategist.
150611_Seasonality: a marketing and political perspective @ Hersonissos, Cretetourism generis
Sustainable tourism as a pillar for the EUSAIR @ Hersonissos, Crete, 11 June 2015
seasonality:
a marketing and political perspective
George Drakopoulos
adviser, UNWTO
counselor, EESC
president & ceo, tourism generis
Data Science. Business Analytics is the statistical study of business data to gain insights. Data science is the study of data using statistics, algorithms and technology. Uses mostly structured data. Uses both structured and unstructured data.
Turning an idea into a profitable finished productHani Gamal
Turning an idea into a profitable finished product lecture's presentation pitched at Moataz Al-Alfi Hall of the AUC new Cairo Campus to the favor of Fekrety EIP competition, 3rd of July, 2012
CGAP and Grameen Foundation AppLab Money Incubator: Case Study Part 2CGAP
CGAP and the Grameen Foundation share insight from the concept development phase of the money incubator. Eight concepts were considered and tested by stakeholders and potential users. Four were shortlisted for validation. Two of these four were shelved for non-user related issues. Me2Me and Zimba were selected for development. Storyboards and simple prototypes aided the testing phase.
Maximising likelihood of success: Applying Product Management to AI/ML/DS pr...Kevin Wong
According to stats, 85% of Artificial Intelligence (AI) / Machine Learning (ML) / data science (DS) projects fail, which hinders companies' appetite in investing in AI/ML/DS, and holds back data scientists from getting the recognition they deserve. In this talk dated 15 June 2019, Kevin Wong presented a gentle introduction on how he applied a re-invented Product Management approach to AI projects, in order to maximise their likelihood of success.
business model, business model canvas, mission model, mission model canvas, customer development, lean launchpad, lean startup, stanford, startup, steve blank, entrepreneurship, I-Corps, Stanford
What Are the Basics of Product Manager Interviews by Google PMProduct School
Ankit walked through an intro to the Product Manager role, the skills needed, and how the role differs between small and large companies. He wrapped up with some advice that's helped him in his Product Manager interviews over the years.
He gave a structured approach to thinking about what a Product Manager actually does (structured, meaning no "top 10" lists) and what are the skills you need to do well as a Product Manager.
ProductWorld 2023 - Practicing Continuous Discovery with the Product Science ...Holly Hester-Reilly
Continuous Product Discovery has never been more popular, but doing it in practice can be a lot harder than it sounds.
Who should you invite to your research? How can you find the right people? When should you focus on problems and when on solutions? How much research is enough to make a decision? How do you communicate your research findings in a way that drives impact within your team and company? How do you deliver a product vision, strategy, and roadmap in a way that allows you to be agile as you continue to learn?
Join Holly Hester-Reilly, host of the Product Science Podcast and Founder of H2R Product Science, as she answers these questions and more. She will share her framework, the Product Science Method, for discovering the best opportunities and laying the foundations for high-growth products, teams, and companies
The Power of Ensembles in Machine LearningAmit Kapoor
Creating better models is a critical component to building a good data science product. It is relatively easy to build a first-cut machine-learning model, but what does it take to build a reasonably good or state-of-the-art model? Ensemble models—which help exploit the power of computing in searching the solution space.
Ensemble methods aren’t new. They form the basis for some extremely powerful machine learning algorithms like random forests and gradient boosting machines. The key point about ensemble is that consensus from diverse models are more reliable than a single source.
Amit and Bargava discusses various strategies to build ensemble models, demonstrating how to combine model outputs from various base models (logistic regression, support vector machines, decision trees, etc.) to create a stronger, better model output. Using an example they covers bagging, boosting, voting and stacking to explore where ensemble models can consistently produce better results when compared against the best-performing single models.
Data science is a process of abstraction. In order to explain or to predict a real phenomena, the process starts with acquiring and refining the data. It then moves between the three layers of abstraction: transformations (data abstraction), visualizations (visual abstraction), and modeling (symbolic abstraction). All three layers of abstraction together build a truer (or closer) representation of the real phenomena.
Data visualization (data-vis) helps us to understand the portrait and the shape of the data. The science of data-vis for exploratory data analysis is well developed for both static graphics (scatter-plot matrices, glyph-based approaches, geometric transforms like parallel coordinates) and interactive graphics (layering, brushing and linking, projections and tours). (For more information, see Amit Kapoor’s Strata + Hadoop World Singapore talk, Visualizing Multidimensional Data.) Though visualization is used in data science to understand the shape of the data, it’s not widely used for statistical models, which are evaluated based on numerical summaries.
Amit Kapoor demonstrates extending visualization to the statistical model (model-vis), which aids in understanding the shape of the model, the impact of parameters and input data on the model, the fit of the model, and where it can be improved. Model visualization can help us to understand the shape of the model and compare it to the shape of the data. It allows us to see the fit of the model and understand where the fit can be improved. It also allows us to better understand the parameters in the model and how the model changes when the parameters change as well as how the parameters changes when the input data changes.
The science and tools for model-vis are still very underdeveloped. Amit looks at practical examples of doing model-vis in regression (linear, lasso), classification (logistic, trees, LDA), and clustering (hierarchical) problems that can help us better understand the model. This includes exploring model-vis approaches that:
Visualize the model in data space as opposed to data in model space
- Visualize the entire space of models
- Visualize the same model with varying tuning parameters
- Visualize the same model with different input datasets
- Visualize the process of model fitting as opposed to final result
Integrating these approaches for model-vis as a part of model evaluation strengthens a data scientist’s understanding of the model and leads to better model building, complementing data-vis for fitting better models as well as communicating the insight from the data science process.
Storytelling with Data - Approach | SkillsAmit Kapoor
The ever increasing computational capacity has enabled us to acquire, process and analyze larger data-sets and information. However, the human memory and attention required to use this data is more limited and has remained relatively constant. Data visualization can enable us to compress data and encode it visually in ways that allows us to aid perceptual and cognitive understanding.
However, data visualisation alone is not enough and often we need to try to tell stories through data. Storytelling with data can enable us to move from analysis to synthesis, from numbers to visuals, and from an argument to a story. Operating at this intersection of data, visual and story can help persuade not only through logos (logic) but also through pathos (empathy) and ethos (credibility). In trying to tell compelling data stories, we can empower our selves to engage, communicate and persuade a large and diverse audience.
In this talk, I discuss ‘why’ stories work and what we can learn about the art of storytelling from other mediums like oral storytelling, written stories, pictures, comics and movies. I will summarise basic principles that can help us in our crafting journey, as we take the data through the layers of abstraction. The focus would be on unpacking the seven dimensions of creating an engaging data story - Abstraction (data patterns), Representation (visual encoding), Framing & Transition (perspective, focus), Messaging (verbal, text annotation), Flow (arrangement) and Interactivity.
Further, creating data stories is a cross disciplinary activity that requires us to operate at the intersection of a visual designer, data scientist and storyteller. It is both a science and an art. So how does one realistically learn these multitude of skills needed to get good at it. I will also discuss ideas about the possible path that practitioners could adopt to learn this craft through sustained practice.
## About the Speaker
Amit Kapoor is interested in learning and teaching the craft of telling visual stories with data. He uses storytelling and data visualization as tools for improving communication, persuasion and leadership. He conducts workshops and trainings for corporates, non-profits, colleges, and individuals at narrativeVIZ Consulting. He also teaches storytelling with data as invited guest faculty in academia, both in management context at IIM Bangalore and IIM Ahmedabad and in design context at NID, Bangalore.
His background is in strategy consulting in using data-driven stories to drive change across organizations and businesses. He has 15 years of management consulting experience, first with AT Kearney in India, then with Booz & Company in Europe and more recently with startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad. You can find more about him at amitkaps.com and tweet him at @amitkaps
Visualising is essential for data science process because it allows as to look at the portrait of our data and develop new hypotheses about our problem. However, visualisation does not scale very well as we are limited by the number of pixels in the our screen (at least for static graphics). This deck talks about the approach - Bin - Summarize - Smooth approach to visualise big data which has been developed by Hadley Wickham and then implemented in an R package in Bigvis.
Learning the Craft of Data VisualisationAmit Kapoor
Data visualisation is a cross disciplinary activity that requires us to operate at the intersection of a visual designer, data scientist and storyteller. It is both a science and an art.
So how does one realistically learn these multitude of skills needed to get good at the craft of data visualisation. In this slide deck, I discuss ideas about the possible path that a beginner could adopt to learn this craft through sustained practice.
Even though exploring data visually is an integral part of the data analytic pipeline, we struggle to visually explore data once the number of dimensions go beyond three. This talk will focus on showcasing techniques to visually explore multi dimensional data p 3. The aim would be show examples of each of following techniques, potentially using one exemplar dataset. This talk was given at the Strata + Hadoop World Conference @ Singapore 2015 and at Fifth Elephant conference @ Bangalore, 2015
Storytelling with Data - See | Show | Tell | EngageAmit Kapoor
Stories have been recognized for their power of communication & persuasion for centuries and we need to operate at that intersection of data, visual and stories to fully harness the power of data.
I take your through a short tour of the science and the art of visualization and storytelling. Then give you an introduction through examples and exemplar on the four different layers in a data-story: See - Show - Tell - Engage.
Used in the session on Business Analytics and Intelligence at IIM Bangalore in July 2014.
Data visualization has enabled us to compress data and express them visually in many interesting new ways. It is often cited that we are trying to tell stories through them. Is that really the case? How can we ensure that the audience is able to retain, recall and retell our data-driven stories.
Using examples and videos learning from different storytelling mediums, I walk through why stories are important and what we can learn about how stories work from these mediums. I then detail out a framework built on the See the data | Show the Visual | Tell the Story | Engage the Audience paradigm to convert the data in to a data-visual-story.
This slide deck was used in Bangalore Meetup - Crafting Visual Stories with Data - in March 2014 @ InMobi's Bangalore Office.
Business Process Improvement - A Strategic and Supply Chain Perspective Amit Kapoor
A short session I conducted at IIM Bangalore on sharing my experience on the what, how and why of business process improvement in strategy and supply chain. Credit for the concepts (and charts) go to my time spent at Booz & Company in Europe doing most of this work.
Stories have been recognized for their power of communication & persuasion for centuries and we need to operate at that intersection of data, visual and stories to fully harness the power of data. Online journalism has already started to show the path but we need to develop the science of data-story to get them widely adopted in business. We used a case study based approach to map the four different layers in a data-story: See - Show - Tell - Engage. We developed a framework of key dimensions within each of these layers and then rigorously analyzed 25 carefully selected case-studies to see which elements were being employed in the data-story. We focused not only on the dimensions of data abstraction and visual representation, framing and transition but also on the dimensions of story structure, point-of-view, relatability and engagement through emotions, takeaways and interaction. Our framework indicates generic strategies that can be used for effective data-stories using exploratory and explanatory visualization in personal and presentation context.
Telling Stories with Data - Using Story SpineAmit Kapoor
We explore the use of Story Spine approach to bring together the traditional power of oral storytelling with the emerging strength of data visualisations
Targeting the Moment of Truth - Using Big Data in RetailAmit Kapoor
Presentation on the business challenges of using Big Data in Retail with a bit of storytelling on why this is not new! @The Fifth Elephant conference in Bangalore on 28 July 2012
See the notes for more talking points.
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
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.
Remote sensing and monitoring are changing the mining industry for the better. These are providing innovative solutions to long-standing challenges. Those related to exploration, extraction, and overall environmental management by mining technology companies Odisha. These technologies make use of satellite imaging, aerial photography and sensors to collect data that might be inaccessible or from hazardous locations. With the use of this technology, mining operations are becoming increasingly efficient. Let us gain more insight into the key aspects associated with remote sensing and monitoring when it comes to mining.
Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
Falcon stands out as a top-tier P2P Invoice Discounting platform in India, bridging esteemed blue-chip companies and eager investors. Our goal is to transform the investment landscape in India by establishing a comprehensive destination for borrowers and investors with diverse profiles and needs, all while minimizing risk. What sets Falcon apart is the elimination of intermediaries such as commercial banks and depository institutions, allowing investors to enjoy higher yields.
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.
1. March, 2012 @ IIMB
Analytics in Consulting
Using the Hypotheses Driven Approach to Solve
Business Problems
Amit Kapoor
2. Context
● Synthesize: Learning to combine, to
condense and bring coherence to ideas
● Discipline: Mastering a major way of
thinking through sustained practice
● Creativity: Process of having original ideas
that have value
3. Content
● Have a dialogue on the analytics in
consulting - hypothesis driven problem
solving
● Leverage a short case study to learn in the
apprentice model
● Discuss heuristics to apply in every day
problem solving
4. Consulting Problem
Ill-Defined and Several Critical
Unique Unknowns
Cross - Functional Business Conflicting
Complexity Problem Stakeholder Views
Too Much or Too Limited Time and
Little Data Resources
5. Consulting Process
1 Defining 2 Generating 3 Testing 4 Making
the Question the Hypotheses the Hypotheses the Case
?
● Write the problem ● Develop the issue tree ● Collect data and ● Develop message
definition ● Generate the conduct analysis and storyboard
● Concretize the hypotheses ● Write and review
scope ● Develop the data
● Synthesize finding and
the output
● Map the issues, and matrix conclusions
deliverable ● Refine hypotheses (as ● Develop
required) recommendations
6. Tablet Case Study - SmartAds
● SmartAds currently is an ad network enabling
advertising for smartphones
● Tablets have emerged as a new device format
with the success of the iPad
● As a smartphone ad company, I should also
be able to serve ads on tablet devices
● What should SmartAds do?
7. 1. Defining the Question
The Strategic Question
● Define the fundamental question the client
wants to be answered
● Focus on the big picture and not the details
● Explore the gap between what the client has
and what the client wants
● Understand how it fits with what else the
client is trying to achieve
Case: What should be SmartAds' Go-to-
Market Plan for Tablets Ads?
8. 1. Defining the Question
Issues and Deliverables
● What issues must you investigate to answer
the fundamental question?
● What is the type of output will be produced
from this investigation?
● What deliverables are expected? Will that
address the client's requirement?
● What time and resources would be required
to accomplish this?
9. 2. Generating the Hypotheses
Develop Issue Tree
Issue 1
Sub Issue 2.1
Hypothesis
2.2.1
Strategic
Issue 2 Sub Issue 2.2
Question
Hypothesis
2.2.2
Sub Issue 2.3
Issue 3
10. 2. Generating the Hypotheses
Issues vs. Hypotheses
What is an Issue? What is a Hypothesis?
● Denotes a major piece ● Phrased as statement to
of the problem prove or disprove
● Pointed to client ● Is an 'hunch' or an
concerns (“So what?”) educated guess
● Limited in number ● Nested under an issue
● Similar in size ● Provides tentative answer
● Will not “fall” to issue question
● Phrased as a question ● Provides context for or
● Amenable to closure guides information
gathering
11. 2. Generating the Hypotheses
Case Study: Issue Tree
Strategic Question Issues
How will the product and services
market look in the tablet advertising
ecosystem in the next 3 -4 years?
What should be
SmartAd's Go-to-
Market strategy for What is the best Way-to-Play for
the Tablet SmartAds in the tablet advertising
Advertising ecosystem?
Ecosystem? How can SmartAds leverage its
capability system developed within the
mobile context for the tablet
ecosystem?
12. 2. Generating the Hypotheses
Case Study: Hypotheses
Issue Sub-Issues Hypotheses
How will the
H1: Market consolidate
How will the tablet around 3 major platforms –
product and ecosystem
iOS, Android, and Win 8
services emerge in the
market look next 3 – 4
years? Which H2: Users will shift content
in the tablet
Platforms? consumption (and hence
advertising
ads) away from PCs to
ecosystem in Which
tablets
the next 3 -4 formats?
years?
... ....
13. 2. Generating the Hypotheses
Types of Hypothesis
Propositional Diagnostic
e.g. market consolidate e.g. users will shift content
around three platforms - consumption (and hence ads)
iOS, Android and Win8 away from PCs to tablets
● If accepted becomes ● If accepted becomes
finding conclusion
● Leaves "so what" ● Answers "so what"
● Simple to test, more ● Simple to interpret if data
complex to interpret fits, more complex to test
● Seeks "predictive" ● Seeks "cause and effect"
data data
14. 2. Generating the Hypotheses
Develop Good Hypothesis
● Connect the Dots - General / specific exp
● Do your Homework - Lit search, web
search, books / journals
● Engage with People - Planning meetings,
clients, colleagues
● Stand on the Shoulder of Giants - Experts,
practice guides, other assignments
● Gather Preliminary Data - Industry
analysis, probing questions
● Think Hard about it!
15. 3. Testing the Hypotheses
Testing the Hypotheses
For Hypothesis 1: Market consolidate around 3
major platforms – iOS, Android, and Win 8
Device Installed
Shipments Base
● Projection '10 -'15 Lifecycle ● Projections '10-'15
● By Device type Estimate ● By Device type
(Smartphone, (Smartphone,
Tablets & PCs) Tablets & PCs)
● By OS (iOS, ● By OS (iOS,
Windows, Android) Windows, Android)
16. 3. Testing the Hypotheses
Building the Data Matrix
● Think on two key dimensions
○ Method of enquiry: Interview/Focus Group,
Research and Surveys, Observations
○ Source of data: Internal, Client, Competition /
Customers, Industry / Government
● Be cost conscious in selection of method of
enquiry
● Assess reliability and conduct triangulation
● Organize and document rigorously
22. 3. Testing the Hypotheses
Developing Recommendation
● Generate alternatives, evaluate, screen and
select: Complete the logic tree
● Specify and describe actions, results and
benefits
● Take account of existing conditions, barriers
and resources
● Cover the assignment topics and outputs
● Can be tracked back to address the root
cause findings
23. 4. Making the Case
Structuring the Message
Argument First Action First
What's wrong You must change
Change
What's causing It
Here's what you should do
Change
Here's what you should do This is how
This is how Add the why's
24. 4. Making the Case
Doing the Communication
● Objective: Build relationship, share
information, solve problem, take decision
● Audience: Who, characteristics as individual
/ group, receptivity, expectation, culture
● Purpose: Telling, selling, conferring,
collaborating
● Story: Content, emphasis, style
● Medium: Visual (letter, report, text, video) or
Oral (presentation, meeting, one-to-one)
25. Heuristics for Daily Problem Solving
● Structure your thinking
● Build your fact base
● Develop an initial hypothesis
● Solve the right problem
● Don't boil the ocean
● Produce an output daily
● Synthesize every day (Elevator Speech)
● Focus on the change
26. Contact
● Please access this presentation and speaker
notes (rough) at http://goo.gl/582xB
● If you have any reflections or further
questions, please feel free to reach out to
the speaker at: me@amitkaps.com
28. Consulting Toolkit
Structured Work Structure
Core Oral Written
Problem Solving / and
Methodologies Communication Communication
Analytics Management
Expertise
Content Thought
(Functional / Knowledge Leadership
Industry)
People Relationship Mentoring and Career Mgmt. /
Teamwork
Skills Management Apprenticeship Work-Life Balance
Leadership Collaboration and
Vision and
and Client Trusted Advisor
Influence
Entrepreneurship Knowledge
Development Sharing
29. 1. Defining the Question
The Client
● Who will judge the success of the project?
● Who has the authority to implement the
recommendations?
● Whose views will influence the main
decision- makers?
● Who will pay the bill?
● Who will the team report to?
Case: The CEO and BD team
30. 3. Testing the Hypotheses
Conducting an Interview
● Interview is a process, not an activity
● Preparations is key: objective, selection,
guides
● Conducting the Interview
○ Opening - Establishing rapport, position, orientation
○ Middle - People, Actions, Goals, Outcome
○ End - Summarizing and projecting
● Questions Chain Link: Open - Probe - Probe
- Closed - Mirror
● Listening is paramount
31. Case Study: Issue Tree
Strategic Issues Sub-Issues
Question
How will the tablet ecosystem emerge in the next 3 – 4
years? Which Platforms? Which formats?
How will the product and
services market look in What are the changes in outlook for advertising spend
the tablet advertising and type in the the tablet ecosystem?
ecosystem in the next 3
-4 years?
What should be What are the product and service offering that will be
SmartAd's Go-to- available in the next 3 - 4 years?
Market strategy for
What is the best Way-to- What ways-to-play are likely to be adopted in the
the Tablet
Play for SmartAds in the market?
Advertising
Ecosystem? tablet advertising Which way-to-play would be best suited for SmartAds
ecosystem? to address the tablet ecosystem?
How can SmartAds What are the key capabilities within SmartAds which
leverage its capability create value and enable execution currently?
system developed with
the mobile context for What new or adjacent capabilities will need to be
the tablet ecosystem? developed to address the table ecosystem
32. Case Study: Sub-Issues & Hypotheses
Sub-Issues Hypotheses
How will the tablet ecosystem emerge in the next 3 – H1: Market consolidate around 3 major platforms – Apple Tablets, Google
4 years? Which Platforms? Which formats? Android (including Amazon Tablet), Microsoft Windows 8
H2: Tablets will increasingly dominate content consumption (and ads)
compared to PCs
H3: Current trend of shift in advertising $ will accelerate and online
What are the changes in outlook for advertising spend advertising will increase dramatically
and type in the the tablet ecosystem? H4: Shift to tablet OS platform will result in increase in display advertising
across the world
H5: (Product) Rich media advertising supported by open standards, on both
What are the product and service offering that will be apps and browsers likely to accelerate
available in the next 3 - 4 years? H6: (Service) Display value chain consolidating, maturing and value
shifting towards branding and away from ad networks
What ways-to-play are likely to be adopted in the H7: Five major ways-to-play in the display ad market – integrator,
market? aggregator, distributor, platform enabler and premium/niche
Which way-to-play would be best suited for SmartAds H8: SmartAds would need to shift from a Niche player to an Integrator
to address the tablet ecosystem?
What are the key capabilities within SmartAds which H9: Capabilities set consolidated in five buckets: Assets, Reach, Service
create value and enable execution currently? Offering, Service Delivery, Enablers
What new or adjacent capabilities will need to be H10: SmartAds would need to extend its capability system beyond Ad
developed to address the table ecosystem Network – largely through acquisition
33. Case Study: Analyses and Data
Key Hypotheses Analyses and Data
H1: Market consolidate around 3 major platforms – Apple Tablets,
● Projection of mobile, tablet and pc shipment and parc (2010 – 2015)
Google Android (including Amazon Tablet), Microsoft Windows
8 ● Break up by platform ecosystems (OS, Windows, Android, Others)
H2: Tablets will increasingly dominate content consumption ● Map the possible roadmap for development of different platforms
(and ads) compared to PCs ● Segmentation of the tablet and PC usage
H3: Current trend of shift in advertising $ will accelerate and online ● Projection for advertising spend on mobile vs. other forms (2010 – 2015)
advertising will increase dramatically ● Break up by formats (mobile, tablet and pc)
H4: Shift to tablet OS platform will result in increase in display ● Map tablet usage and impact on ad response and receptivity
advertising across the world ● Map impact on Ad formats with tablet introduction
H5: (Product) Rich media advertising supported by open standards, ● Map impact on likely to evolve on the tablets
on both apps and browsers likely to accelerate ● Requirement level for development: standards,
● Map value chain players, consolidation / acquisitions, key trends and
H6:: (Service) Display value chain consolidating, maturing and value technologies
shifting towards branding and away from ad networks ● Estimate for value chain breakup- Branding vs. Direct Response, Key
Players
H7:: Five major ways-to-play in the display ad market – integrator,
aggregator, distributor, platform enabler and premium/niche
● Segment key players based on (outside in) understanding of way-to-play
H8:: SmartAds would need to shift from a Niche player to an
Integrator
● Smart Ads Interviews (to be done)
H9: Capabilities set consolidated in five buckets: Assets, Reach, ● Map broad set capabilities required in the display ad value chain
Service Offering, Service Delivery, Enablers ● Assess (outside-in) the likely capabilities of sample players
H10: SmartAds would need to extend its capability system beyond ● Smart Ads Interviews (to be done)
Ad Network – largely through acquisition ● Map implication on the revenue and go-to-market