This is a case study I had worked on as a first year MIM student at University of Maryland (College Park), while studying INFM612 (Management of Information Programs and Services), taught by Dr. Ping Wang - a wonderful Professor.
Customer journey for gaming demonstrating decision pathways and shopping experience. The one buying the game is not necessarily the one playing it. In store, more can be done to attract potential customers and bring people in. What about games that appeal across the family? Opportunity across devices from console to tablet to mobile increasing and the needs and behaviour of consumers is presenting huge challenges.
People spend more time gaming than any other activity. With the advent of 4G and even more choice on tablets, phones and gaming devices this is set to increase even more.
Interestingly, how people purchase games and content is often overlooked. Traditional shopping is as strong today as it has been when purchasing games but far more complex. Physical need too is another customer need often overlooked - the need to hold a product in your hand.
Play more, buy more, mapping your customer journey and strategies to enhance loyalty among gamers has never been so important.
Today, innovation in razors and blades is thwarted by a lack of new technology and increasing consumer reluctance to pay for the ‘‘latest and greatest’’ in shaving technology. Gillette relied on extensive research and development to create a single product for global distribution. The product was supported by a marketing premise that it would be equally valuable to customers globally.
Business Simulation Game - BharatiyaSiMSBharatiyaSiMS
BharatiyaSiMS is an interactive & competitive 2 day online/on-site workshop that reflects challenges of managing real-life business in a fiercely competitive Business world.
(for more info visit http://www.BharatiyaSiMS.com)
This presentation discusses the Lead User Strategy that systematizes and formalizes the process of innovation. 3M is an ever innovating company and Lead User method helped it come up with many breakthrough innovations. The Lead User Methodology was proposed by Eric von Hippel. Many companies have used the method to their benefit. While innovation is always a much sought after virtue, there is no definitive and sure-shot way to continuous innovation. Lead User Method is one way to make systematic the process of innovation. it significantly increases the chances of success. Lead Users are often those who use an improvised arrangement (Indian 'Jugaad') as there are no commercial dedicated solutions available, using existing products or technologies to solve their purpose in a way that was perhaps not initially intended of the product/technology. So lead users can be potential source of new product ideas.
Customer journey for gaming demonstrating decision pathways and shopping experience. The one buying the game is not necessarily the one playing it. In store, more can be done to attract potential customers and bring people in. What about games that appeal across the family? Opportunity across devices from console to tablet to mobile increasing and the needs and behaviour of consumers is presenting huge challenges.
People spend more time gaming than any other activity. With the advent of 4G and even more choice on tablets, phones and gaming devices this is set to increase even more.
Interestingly, how people purchase games and content is often overlooked. Traditional shopping is as strong today as it has been when purchasing games but far more complex. Physical need too is another customer need often overlooked - the need to hold a product in your hand.
Play more, buy more, mapping your customer journey and strategies to enhance loyalty among gamers has never been so important.
Today, innovation in razors and blades is thwarted by a lack of new technology and increasing consumer reluctance to pay for the ‘‘latest and greatest’’ in shaving technology. Gillette relied on extensive research and development to create a single product for global distribution. The product was supported by a marketing premise that it would be equally valuable to customers globally.
Business Simulation Game - BharatiyaSiMSBharatiyaSiMS
BharatiyaSiMS is an interactive & competitive 2 day online/on-site workshop that reflects challenges of managing real-life business in a fiercely competitive Business world.
(for more info visit http://www.BharatiyaSiMS.com)
This presentation discusses the Lead User Strategy that systematizes and formalizes the process of innovation. 3M is an ever innovating company and Lead User method helped it come up with many breakthrough innovations. The Lead User Methodology was proposed by Eric von Hippel. Many companies have used the method to their benefit. While innovation is always a much sought after virtue, there is no definitive and sure-shot way to continuous innovation. Lead User Method is one way to make systematic the process of innovation. it significantly increases the chances of success. Lead Users are often those who use an improvised arrangement (Indian 'Jugaad') as there are no commercial dedicated solutions available, using existing products or technologies to solve their purpose in a way that was perhaps not initially intended of the product/technology. So lead users can be potential source of new product ideas.
Go-to-market strategy, positioning and viral growthLisa Enckell
Presentation during entrepreneurship week at Luleå University, Sweden on go to market strategies, positioning and viral growth. Examples and learnings from Wrapp, Clue and other startups.
Presentation on the Wispa campaign. Delivered February 2011 in response to the brief: Prepare to present on a brand campaign that you feel exemplifies a social/WOM strategy.
For students #InnovatorsOnly.
Introducing our new multifield innovation competition that makes meaningful changes for you and for all. Play. Experiment. Innovate by joining Brandstorm 2017
Devised an actionable Social Media Strategy for Tata Docomo by studying the best social media practices followed by Telecom and youth-centric brands internationally.
Created a comprehensive checklist for Tata Docomo to strengthen its Brand Connect, Social Engagement, Content Crowsourcing and revolutionise its Self-Service using Social Media.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for Coursera. Coursera offers massive open online courses and thus challenges the current business models of most universities. It offers these online courses to its students and to the students of other universities. By using courses that have been developed by universities and other organizations and by offering these courses to thousands if not millions of potential customers, Coursera has much lower costs per course and per student than do conventional universities. These slides analyze the challenges for Coursera and the potential solutions in the form of customer selection, value proposition, and method of value capture.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets (social business intelligence) are in use in 100-200 large organizations for project management and revenue forecasting. Consumer prediction markets are becoming widely used for event prediction (election results, product sales, box office receipts).
Go-to-market strategy, positioning and viral growthLisa Enckell
Presentation during entrepreneurship week at Luleå University, Sweden on go to market strategies, positioning and viral growth. Examples and learnings from Wrapp, Clue and other startups.
Presentation on the Wispa campaign. Delivered February 2011 in response to the brief: Prepare to present on a brand campaign that you feel exemplifies a social/WOM strategy.
For students #InnovatorsOnly.
Introducing our new multifield innovation competition that makes meaningful changes for you and for all. Play. Experiment. Innovate by joining Brandstorm 2017
Devised an actionable Social Media Strategy for Tata Docomo by studying the best social media practices followed by Telecom and youth-centric brands internationally.
Created a comprehensive checklist for Tata Docomo to strengthen its Brand Connect, Social Engagement, Content Crowsourcing and revolutionise its Self-Service using Social Media.
These slides use concepts from my (Jeff Funk) course entitled Biz Models for Hi-Tech Products to analyze the business model for Coursera. Coursera offers massive open online courses and thus challenges the current business models of most universities. It offers these online courses to its students and to the students of other universities. By using courses that have been developed by universities and other organizations and by offering these courses to thousands if not millions of potential customers, Coursera has much lower costs per course and per student than do conventional universities. These slides analyze the challenges for Coursera and the potential solutions in the form of customer selection, value proposition, and method of value capture.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets (social business intelligence) are in use in 100-200 large organizations for project management and revenue forecasting. Consumer prediction markets are becoming widely used for event prediction (election results, product sales, box office receipts).
This presentation introduces prediction markets, describes who uses them and why, and ends with an examination of how the prediction market industry is trying to make the act of making prediction more usable.
Prediction markets are a tool for collecting and aggregating opinion using market principles. Enterprise prediction markets are in use in 100-200 large organizations for project management and revenue forecasting. Public prediction markets are used for event prediction (election results, product sales, box office receipts).
So you want to predict the future? Oh, just some sentiment analysis, spam detection, stock market predictions? In that case the Google Prediction API is for you. Classification problems, Regression problems. This API is a great tool for any software developer and is easily accessible to anyone who is good with spreadsheets.
Presentation at the HEA-funded workshop 'Using technology-based media to engage and support students in the disciplines of Finance, Accounting and Economics'
The workshop presented a variety of innovative approaches, which use technology, to engage and support learning in business disciplines that students find particularly challenging. Delegates had the opportunity to share and evaluate good practice in implementing and developing online teaching resources and to reflect on how to develop their own teaching practice, using technologies available in most institutions.
This presentation is part of a related blog post that provides an overview of the event: http://bit.ly/1o1WfHU
For further details of the HEA's work on active and experiential learning in the Social Sciences, please see: http://bit.ly/17NwgKX
2014 market forecast based on algorithms. This presentation includes predictions for the S&P 500, the Dow Jones Industrial Average and the Nasdaq Composite.
Tziralis & Ipeirotis at 3rd Prediction Markets WorkshopGeorge Tziralis
A research work by George Tziralis & Panos Ipeirotis.
Detecting Important Events
using Prediction Markets, Text
Mining, and Volatility Modeling.
Presented on July 9th in the 3rd Prediction Markets workshop, Kellog's School of Management, Northwestern University, Chicago
Comparison of Multicriteria and Prediction Market Approaches for Technology F...Cédric Gaspoz
We present and compare two original approaches for technology assessment and foresight based on opposite paradigm: a management science approach (Multi-Criteria Decision-Making) versus a participatory approach (Prediction Market). These approaches are intended to support the management of a technology portfolio and the assessment of new technology by an IT organization. In order to explore the relevance of the research, we conducted several experiments in real environments. The results demonstrated that the rigor of management science and the participation of the Web 2.0 approach are complementary strengths for technology foresight. Furthermore, a framework has been established to compare the two approaches.
This is my presentation from Talks #32 - http://www.softbinator.ro/events/talks-32/
It is in Romanian && English
Pentru discuții puteți să vă alăturați grupului de Facebook - Talks by Softbinator:
https://www.facebook.com/groups/talks.by.softbinator/
Understanding the Critical Trends Impacting Organizations in the Next Five YearsHolly Gage
The Forum Corporation (www.forum.com) recently conducted analysis of future trend research on the strategic issues that will most impact the global marketplace in the next one to five years. This presentation reveals our findings.
In this study I have tried to conduct a technology forecast for the mobile industry. In order to do this we have developed and followed a ten steps methodology as follows;
First we started by defining the industry and determining the exact sub industry definition. Second we studied the history of mobile phones with special focus on the important milestones to determine the important inflection technology events which took the technology to the second level, or helped in diffusing the technology, or created a new trend or resulted in a technology disruption. Third we gone through an industry analysis phases in which we studied the market growth rate, market share of different players, identifying leaders, followers. Followed by studying the market dynamics and main trends from both producers and consumers. Producers revenue pyramid, current and future strategies have been included. Fourth we composed the industry PEST analysis followed by industry overall analysis using porter five forces model. Fifth, a study for the major technological trends have been conducted, resulted in identifying main important industry trends. For each of the identified industry trend, we have identified the main technological challenges based on the consumer pull demand and the technology implication of each. Sixth, we constructed our technology future wheel based on all the previously mentioned types of analysis, resulted in identifying the main technology subcomponents. Seventh, we gone through a structural analysis followed by cross impact analysis for those subcomponents. Eights, a relevance tree for all those subcomponents including different technological alternative for each have been constructed. Followed by an analysis based on experts opinion about existing diffusion rate for each of those technology alternatives. Ninth, a road map for the forecasted technologies have been compiled, followed a wild card listing for alternative technologies which may exist in the near or far future, even technologies which in research and we believe that it is extremely wild have been included. Tenth, a conclusion of our forecasted short and terms technologies landscape have been composed and presented.
Crowdfunding - Harnessing the Power of the CrowdPCM creative
4th of 4 masterclass workshops in a series delivered in 2011
Developed using research PCM commissioned from Nottingham Trent University following an emergence of platforms looking to finance projects and collecting knowledge directly from the target audience for reducing the reliance on institutionally funded avenues.
To view recording of this webinar please use the below URL:
http://wso2.com/library/webinars/2016/08/analytics-as-your-business-edge/
Data is the new oil! For most enterprises, data is the oil you’ve been sitting on without realizing its value. You can gain many useful insights from data that lead to new and better products and operations, enables new user experiences, allows better understanding of customers, makes interactions seamless and enables new pay per use business models and dynamic pricing models. Furthermore, data itself can be monetized. Enterprises can broker interactions between end users as done in digital advertising or sell insights to third parties in anonymized forms. Just like in Google and Facebook, data can be a primary asset that organizations collect as part of their operations.
This is a presentation I made at DiGRA 2015 in Luneburg Germany on my published research paper. The full paper can be found here:
https://rmit.academia.edu/MarigoRaftopoulos
Beyond Semantic Analysis Utilizing Social Finance Data Sets to Improve Quanti...Quantopian
Leigh will present Moving Beyond Semantic Analysis and Sentiment - Deriving Alpha from Crowdsourced and other Social Finance Datasets. Leigh is the founder and CEO of Estimize. Prior to founding Estimize, Leigh ran Surfview Capital, a New York based quantitative investment management firm trading medium frequency momentum strategies. He was also an early member of the team at StockTwits where he worked on product and business development. Leigh got his start in the institutional finance world as a quantitative analyst with Geller Capital, a White Plains-based hedge fund. He holds a B.A. in political science and economics with an emphasis on war theory from Hunter College in New York City.
This presentation was part of QuantCon 2015 hosted by Quantopian. Visit us at: www.quantopian.com.
data analytics is the process of examining large datasets to uncover hidden patterns, correlations, trends and insights that can inform decision-making and drive business strategies.
Many Mutual Funds firms are struggling to gain a better understanding of the Investors' needs and proactively build products that meet and exceed those needs. In this presentation we have attempted to highlight some of the inherent challenges, and provide a road map to a more clear insight.
To Further discuss this subject, please contact me at vatefi@gmail.com
Understanding market research and the benefits it provides to marketing decisions. When to use quantitative, qualitative, primary and secondary techniques is vital to marketing strategy.
Giving Organisations new capabilities to ask the right business questions 1.7OReillyStrata
This presentation takes the seminal work structured analytic techniques work pioneered within US intelligence, and proposes adaptions and simplifications for use within commercial enterprises
Data science is a powerful confluence of statistics, software and large datasets, but what does it mean for large corporates, and how can we gain real value by learning from data?
In this high-level presentation, I describe how I see data science fitting into the regular day-to-day processes of banking and insurance: enabling better decision making, improving top-line revenues and automating the mundane. I'll reference a number of real-world projects that we have undertaken to enable clients to learn from their data, improve their product-market fit and improve their business processes.
Viewers will hopefully gain a better appreciation of data science as applied to business operations in finance.
Staying agile in dynamic markets amit sinha march 2017Amit Sinha
Presentation on how asset managers can better utilize analytics to improve portfolio management, performance, and risk management. Part of Moodys Analytics Breakfast Series March 2017
Growth Strategy for Early Stage Startups - Founder instituteAlex Gault
Presentation outlining a growth strategy for entrepreneurs participating in the Founder Institute's 14-week accelerator program. For more information: https://fi.co/overview
Similar to Google Prediction Markets Case Study (20)
Oprah Winfrey: A Leader in Media, Philanthropy, and Empowerment | CIO Women M...CIOWomenMagazine
This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
Artificial intelligence (AI) offers new opportunities to radically reinvent the way we do business. This study explores how CEOs and top decision makers around the world are responding to the transformative potential of AI.
The Team Member and Guest Experience - Lead and Take Care of your restaurant team. They are the people closest to and delivering Hospitality to your paying Guests!
Make the call, and we can assist you.
408-784-7371
Foodservice Consulting + Design
Modern Database Management 12th Global Edition by Hoffer solution manual.docxssuserf63bd7
https://qidiantiku.com/solution-manual-for-modern-database-management-12th-global-edition-by-hoffer.shtml
name：Solution manual for Modern Database Management 12th Global Edition by Hoffer
Edition：12th Global Edition
author：by Hoffer
ISBN：ISBN 10: 0133544613 / ISBN 13: 9780133544619
type：solution manual
format：word/zip
All chapter include
Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The 12th Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.
2. Reason: Prediction markets work so well
Works on collective intelligence of diverse crowd
Correctly aggregated crowd’s judgment = Accurate results
Use of play money eliminates individual bias and increases liquidity
Decentralized market (works better than a centralized one)
More accurate than polls, surveys, etc.
Method adopted -
Motivation to participate -
Reputation building
Rewards and recognition
Financial / non-financial incentives
Anonymous platform to express opinions
Low barriers to entry
Increase knowledge and awareness of issues and risk1
Socialize and build relations
Facilitate better corporate decision making
3. Reason: Prediction markets work so well @ Google
Collective intelligence of crowd
Use of Goobles eliminates individual bias
Anonymous venue to voice opinion
Facilitates reputation building
Decentralized market ensures diverse crowd and views
Rewards (lottery, gifts, etc.) and recognitions boost participation and morale
Non-financial incentives (T-shirts etc.) enhance traders’ performance
+
+
= Google Prediction Markets
+
Crowd
RewardsPlay money Trade
+
+
Express opinion
Build reputation
Goodies
+
… contd.
4. Reason: Prediction markets work so well @ Google
Non-monetary rewards eliminate counter-productive behavior
Cut through office politics, pretense and puffery and get right to
performance2
Low barriers to entry
Intuitive and easy to use
Enhances relationship building through knowledge sharing
Introduces element of fun at workplace
Participate in shaping corporate objective
Allows arbitrage to expedite liquidity
Helps increase awareness of issues & risks
Markets are quarterly – they get more accurate with time
5. Conditions leading to successful Prediction Markets
• Enable liquidity
• Ensure optimism
• Encourage bragging3
• Boost participation in shaping
corporate objectives
• Provide quick research links
• Formulate improved corporate
objectives
• Enhance decision making
• Use as forecasting & risk
management tool
• Measure corporate data flow –
Proximity analysis4
• Good reputation system
• Anonymous platform
• Lottery system as incentive
• Use of play money
• Decentralized system
• Support from management
• Breaking cultural barriers
• Low barriers to entry
• Develop a simple &
straightforward platform
6. Prediction Markets for Decision Making
Shaping corporate objectives
Project timeline (internal performance) re-evaluation (e.g., Siemens Austria)5
Sales forecast of specific products (e.g., Hewlett-Packard Corporation)6
Demand forecasting (e.g., Google)
Help set IPO price using predicted market capitalization of the company7 (e.g.,
Google)
Study information flow within business to confirm role of micro-geography in
corporate information flows8 (e.g., Google)
Managing manufacturing capacity (e.g., Intel)9
Generate new business ideas (e.g., General Electric)10
Developing and selecting marketing campaigns (e.g., Starwood)11
“Research has shown that prediction markets will be right more often than any
individual expert” - Bo Cowgill
Accurate and decisive prediction markets can be used for the following kinds of
decision making:
7. References
1 The Noisy Channel (Daniel
Tunkelang)http://thenoisychannel.com/2010/06/09/why-cant-we-just-use-
prediction-markets
2 Augur (official website) http://www.augur.net/
3 Patrakaar2b (Blog)http://patrakaar2b.blogspot.com/2011/03/do-prediction-
markets-work.html
4,5,6,7,8 Prediction Markets: How they work and how well they work (Vincent
Jacobs)http://vincentjacobs.com/thesis/Vincent%20Jacobs%20(2009).%20Predictio
n%20Markets%20-
%20How%20They%20Work%20and%20How%20Well%20They%20Work.pdf
9,10,11 Prediction Markets
(Wikipedia)https://en.wikipedia.org/wiki/Prediction_market#cite_note-ga-1
