1) The Industry Graph provides contextual information about competitive industries to enhance searching, discovery, and decision-making. It maps over 16,000 granular industries and the relationships between competitors, suppliers, buyers, and other forces within each industry.
2) The Industry Graph allows users to search for a company like Toyota within a specific industry context, such as the transportation energy industry. This provides relevant competitive intelligence instead of broad results across all industries.
3) Discovery algorithms analyze news, social media, and other unstructured data to surface interesting trends and changes within industries. This helps users gain real-time situational awareness without manually searching large amounts of data.
This document summarizes a review article on digital marketing. It begins with an introduction discussing changes in marketing due to technological advances and the rise of internet marketing. It then reviews literature on the topic, finding that digital marketing allows for more precise customer targeting, creates new business opportunities, and is more cost-effective for measuring returns. Social media in particular has opened new avenues for communication between businesses and customers. The review concludes that digital content, word-of-mouth marketing, social media strategies, online reviews, and blogs can all be effective digital marketing tools when used as part of an overall strategic plan.
The battle of superheros the rise of the knowledge platform strategy in the m...Ying wei (Joe) Chou
The document discusses how platform strategies may be used in creative industries like the movie industry. It analyzes the three most successful superhero sagas of the past two decades - the Marvel Cinematic Universe (MCU), DC Comics, and X-Men - to understand their "platform approaches". The findings show that platform strategies are relevant for creative industries, defining the concept of a "knowledge platform strategy". The MCU in particular builds on a common knowledge across various movies, enabling it to leverage characteristics of platforms emerging in the literature. This extends the concept of platforms into research fields where it has not been previously applied, such as for content development in creative industries.
Using Ontology to Capture Supply Chain Code HalosCognizant
Manufacturers need to create a lingua franca that extends throughout the supply chain ecosystem, in order to generate insights from the digital data encircling their employees, partners, processes and customers.
The document proposes an architecture for mobile marketing on Android devices that integrates information from social networks, existing data marts in a company, and geolocation data from mobile devices. This would allow customized advertisements to be delivered by email or SMS when a customer is near a store. The proposed architecture includes collecting user information and preferences from social networks via APIs, integrating this with data from a company's data marts on customers, products, sales and other dimensions, and delivering targeted ads to mobile devices based on the customer's location near a store. Metrics would also be collected to analyze the effectiveness of advertising campaigns.
PTC Named Internet of Things (IoT) Leader by Two Industry Analyst FirmsPTC
Two industry analyst firms, IoT Analytics and Experton Group, named PTC the leader in the Internet of Things (IoT) market. PTC's ThingWorx IoT platform was recognized for its rapid application development capabilities and strong ecosystem partnerships. PTC has 18% of the IoT platform market share according to IoT Analytics. Experton Group also ranked PTC as the market leader for industrial big data analytics and highlighted ThingWorx's competitive advantages. PTC's strategic acquisitions and investments in IoT solutions have positioned the company as the leader in bridging the digital and physical worlds for customers.
The 3D machine vision market is forecast to reach $4 billion by 2026, growing at a CAGR of 12.3% as the need for automation increases. Hardware currently dominates the market but software is growing. Key applications include quality control, inspection, and robot guidance in industries like automotive and manufacturing. Asia-Pacific is the largest region currently due to growth in China, India, and Japan. Major players include Cognex, ISRA Vision, and Basler who are innovating new products to meet rising demand and requirements.
Big Data Analysis of Second hand Car SalesYashIyengar
This document summarizes a student's research project on using big data technologies and linear regression to analyze second-hand vehicle sales data from Craig's List. The student cleaned and preprocessed the data, loaded it into databases, and performed analysis using Pig, Hive, and MapReduce. Regression analysis was then used to build a model to predict used car prices based on various attributes in the data.
This document is a thesis that investigates how airlines use dynamic pricing and e-commerce strategies, specifically the impact of browser cookies. It begins by thanking those who helped with the thesis. The introduction discusses how technology has changed competitive markets and how e-commerce allows airlines to gain customer data. The research aims to study price outcomes over time and how tools like cookies enhance price discrimination. The literature review examines previous works related to dynamic pricing models and e-commerce in airlines. The thesis will analyze the relationship between e-commerce tools and dynamic pricing strategies used by selected European airlines.
This document summarizes a review article on digital marketing. It begins with an introduction discussing changes in marketing due to technological advances and the rise of internet marketing. It then reviews literature on the topic, finding that digital marketing allows for more precise customer targeting, creates new business opportunities, and is more cost-effective for measuring returns. Social media in particular has opened new avenues for communication between businesses and customers. The review concludes that digital content, word-of-mouth marketing, social media strategies, online reviews, and blogs can all be effective digital marketing tools when used as part of an overall strategic plan.
The battle of superheros the rise of the knowledge platform strategy in the m...Ying wei (Joe) Chou
The document discusses how platform strategies may be used in creative industries like the movie industry. It analyzes the three most successful superhero sagas of the past two decades - the Marvel Cinematic Universe (MCU), DC Comics, and X-Men - to understand their "platform approaches". The findings show that platform strategies are relevant for creative industries, defining the concept of a "knowledge platform strategy". The MCU in particular builds on a common knowledge across various movies, enabling it to leverage characteristics of platforms emerging in the literature. This extends the concept of platforms into research fields where it has not been previously applied, such as for content development in creative industries.
Using Ontology to Capture Supply Chain Code HalosCognizant
Manufacturers need to create a lingua franca that extends throughout the supply chain ecosystem, in order to generate insights from the digital data encircling their employees, partners, processes and customers.
The document proposes an architecture for mobile marketing on Android devices that integrates information from social networks, existing data marts in a company, and geolocation data from mobile devices. This would allow customized advertisements to be delivered by email or SMS when a customer is near a store. The proposed architecture includes collecting user information and preferences from social networks via APIs, integrating this with data from a company's data marts on customers, products, sales and other dimensions, and delivering targeted ads to mobile devices based on the customer's location near a store. Metrics would also be collected to analyze the effectiveness of advertising campaigns.
PTC Named Internet of Things (IoT) Leader by Two Industry Analyst FirmsPTC
Two industry analyst firms, IoT Analytics and Experton Group, named PTC the leader in the Internet of Things (IoT) market. PTC's ThingWorx IoT platform was recognized for its rapid application development capabilities and strong ecosystem partnerships. PTC has 18% of the IoT platform market share according to IoT Analytics. Experton Group also ranked PTC as the market leader for industrial big data analytics and highlighted ThingWorx's competitive advantages. PTC's strategic acquisitions and investments in IoT solutions have positioned the company as the leader in bridging the digital and physical worlds for customers.
The 3D machine vision market is forecast to reach $4 billion by 2026, growing at a CAGR of 12.3% as the need for automation increases. Hardware currently dominates the market but software is growing. Key applications include quality control, inspection, and robot guidance in industries like automotive and manufacturing. Asia-Pacific is the largest region currently due to growth in China, India, and Japan. Major players include Cognex, ISRA Vision, and Basler who are innovating new products to meet rising demand and requirements.
Big Data Analysis of Second hand Car SalesYashIyengar
This document summarizes a student's research project on using big data technologies and linear regression to analyze second-hand vehicle sales data from Craig's List. The student cleaned and preprocessed the data, loaded it into databases, and performed analysis using Pig, Hive, and MapReduce. Regression analysis was then used to build a model to predict used car prices based on various attributes in the data.
This document is a thesis that investigates how airlines use dynamic pricing and e-commerce strategies, specifically the impact of browser cookies. It begins by thanking those who helped with the thesis. The introduction discusses how technology has changed competitive markets and how e-commerce allows airlines to gain customer data. The research aims to study price outcomes over time and how tools like cookies enhance price discrimination. The literature review examines previous works related to dynamic pricing models and e-commerce in airlines. The thesis will analyze the relationship between e-commerce tools and dynamic pricing strategies used by selected European airlines.
Markntel Advisors Digital Twin Market Analysis, 2019ShivaKumar1833
Global Digital Twin market is expected to grow in the coming years owing to increasing demand for the Internet of Things (IoT) in the industrial sector and rising adoption of a virtual model for the production line. Moreover, surging use of connected devices and Market 4.0 in manufacturing technologies as an application of mining and data analytics are further contributing to the sales growth of digital twin throughout the globe
For more detail call us at +1 (613) 707-5086 or +91 120 4725470
Digital Marketing and Personalization of CX: 2016 Horizonwatch Trend BriefBill Chamberlin
The slides provide a quick overview of the Digital Marketing / Personalization of Customer Experience trend. The slides provide summary information, a list of trends to watch and links to additional resources.
'Converge' Report - Shaping Artificial Intelligence for Southeast AsiaShu Jun Lim
This document provides an overview of artificial intelligence and how startups in Southeast Asia are applying AI. It discusses how startups are collecting local training data to build AI solutions that understand Southeast Asian contexts. It also explores how startups are developing natural language processing for local languages and building chatbots on popular regional messaging platforms. Additionally, it examines how other startups are using AI and automation to digitize field operations and business processes.
Global smart furniture market research 2021 reportKARANPRINCE3
This report focuses on the Global smart furniture market research 2021 reportreports market size Market trends, future forecasts, growth opportunities, key end-user industries, and market players. The objectives of the study are to present the key developments of the market across the globe.
As the boundaries blur among hardware, software, services, and telecom, tech sectors become less relevant. Tech companies now distinguish themselves through their strategic identity. This analysis of leading enterprise-oriented information and communications technology (ICT) companies shows them competing for customers -- but setting themselves apart in new ways.
Research clinical laboratory testing volume 2 key players for laboratory tes...Neel Terde
This document provides an overview of key topics related to clinical laboratory testing, including describing the specific business segments, strategies used by laboratory companies to develop new opportunities, and emerging business practices. It profiles leading clinical laboratory companies and analyzes partnerships in the industry. The report examines new business methods to identify growth areas and focuses on companies that market laboratory data.
This white paper discusses Discovery Patterns' analytic platform for unstructured big data that can discover expanded market sentiments. It defines key terms like prevailing and expanded market sentiment. It also describes Discovery Patterns' use of an ultra-granular industry context database called Industry Building Blocks, competitive analytic engines, and trend visualization engines to discover expanded market sentiments. Two case studies are presented that show how expanded market sentiments can provide insights into future market movements and identify investment opportunities when they diverge from prevailing sentiments.
Global Machine Learning Market was valued at USD 10.38 billion in 2021 and is expected to reach USD 112.18 billion by the year 2028, at a CAGR of 40.5%.
Artificial Intelligence Industry: An Overview by Segment by Emerj AI Research Emerj
This document provides a summary of various reports and analyses on how the artificial intelligence market is segmented and categorized. It discusses how the AI market is difficult to define and quantify given its nascent stage of development. It summarizes key findings from reports by CB Insights, VentureScanner, TechEmergence, O'Reilly, Comet Labs, BCC Research, and Nvidia on how the AI market is broken up into industries, technologies, and application areas. The document concludes that while precisely defining segments is challenging, healthcare, marketing, and finance consistently appear as major focus areas for AI companies.
The document discusses how the global data integration market has grown due to increased use of computing devices and need to integrate data from various sources. It provides an overview of the impact of COVID-19 on the market and segmentation of the market by components, organization size, deployment model, solutions, verticals, and region. Major players in the data integration market are also mentioned. The global data integration market is expected to grow at a CAGR of 14.93% until 2025.
The document summarizes Contrive Datum Insights' research methodology for analyzing the global vehicles lighting market from 2023 to 2030. It describes secondary and primary research methods including data collection, validation, analysis, and modeling. Key factors driving market growth are identified as the increasing production of luxury vehicles, mandatory lighting regulations in Europe, and advanced lighting technologies being integrated more rapidly than traditional halogen and xenon lights. The market is expected to be led by Europe and Asia Pacific.
Contrive Datum Insights is a research organization that provides customized market reports. It conducts both primary and secondary research to gather data and validate findings. The organization aims to deliver reports tailored to clients' specific needs rather than generic literature. This document provides an overview of Contrive Datum Insights' research methodology, which involves data collection from multiple sources, statistical analysis techniques, and report customization options. It also includes sample sections from a report on the global autosampler market size and trends.
This document provides an overview of Contrive Datum Insights and their research methodology for analyzing the global airbag market. CDI is a market research firm that produces custom reports on various industries through primary and secondary research. Their methodology involves collecting both qualitative and quantitative data through interviews and surveys with industry experts, as well as analyzing financial reports, publications, and paid databases. CDI aims to provide accurate market sizing and forecasts through statistical modeling and cross-verification of data sources. The document then provides details on CDI's research objectives and scope for their report on the global airbag market.
The global app analytics market to increase from US$ XX.X million in 2020 to US$ XX.X million by 2025 with a compound annual growth rate (CAGR) of XX.X% for the period 2020-2025. The growing investment in emerging technologies and the development of cloud-based analytics tools accelerated the demand for app analytics. The research report on the global app analytics industry provides extensive competition analysis and competitive conditions. The report includes information on significant products, players, challenges and developments, and other information specific to the app analytics industry. The data in this report is targeted for business and industry practitioners and specifically intended to assist in the explanation, direction, and to understand the potential of the app analytics markets. The study focuses on providing readers with an understanding of developments in the industry, market segments, market forecasts, leading players, and market drivers and inhibitors.
This white paper introduces the Industry Building Blocks (IBB) classification system, which divides the global economy into over 17,000 ultra-granular industries. IBB classifications are based on Michael Porter's five competitive forces and define industries based on unique combinations of competitors, buyers, suppliers, substitutes, and potential entrants. This creates a more granular system than traditional industry classifications. The paper argues that understanding industries at this level of granularity provides insights into companies, themes, and mergers that are not possible with less granular classifications. It illustrates how IBB can be used to analyze companies like Apple, which it divides into 50 distinct industries based on competitive dynamics.
Patents can provide insights regarding the state of the art of artificial Intelligence (AI) technology innovation, and thus, a strategic move of a company for the AI innovation leadership. To compare the technology innovation strategy of the three leading companies in the AI business, Google, IBM and Microsoft, patent information is exploited for the cross-competitor analysis.
Contrive Datum Insights is a market research firm that provides customized reports on various markets including the global microcars market. It uses both primary and secondary research methods to gather data and employs statistical modeling to analyze the data and forecast market trends. The document provides an overview of Contrive Datum Insights' research methodology, data sources, analytical approaches, objectives for microcars market reports, and contact information. It also includes a brief market synopsis and outlines factors driving and challenging the global microcars market.
Contrive Datum Insights is a market research firm that provides customized reports summarizing key details about various markets. This document discusses their methodology for researching the global triacetin market from 2023 to 2030. It involves both secondary research of existing data and primary research through expert interviews. The report will analyze factors driving and restraining the triacetin market, provide a regional outlook, and segment the market by type, application, and key players. The goal is to forecast market size and understand competitive developments.
This document provides an overview of Contrive Datum Insights' research methodology for analyzing the global disposable camera market. It describes CDI's secondary and primary research processes, including mining data from reports, paid databases, and interviews. It also outlines CDI's statistical modeling and data analysis tools, which include economic, technological, and industry experience to forecast market trends until 2030. The goal is to provide customized and validated market insights that meet clients' specific needs.
Military Lighting Market Competitive Research And Precise Outlook 2023 To 2030subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Military Lighting Market. Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Military Lighting Market. In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional manner.On the base and by the people who work there, military lighting structures and equipment are used.
Markntel Advisors Digital Twin Market Analysis, 2019ShivaKumar1833
Global Digital Twin market is expected to grow in the coming years owing to increasing demand for the Internet of Things (IoT) in the industrial sector and rising adoption of a virtual model for the production line. Moreover, surging use of connected devices and Market 4.0 in manufacturing technologies as an application of mining and data analytics are further contributing to the sales growth of digital twin throughout the globe
For more detail call us at +1 (613) 707-5086 or +91 120 4725470
Digital Marketing and Personalization of CX: 2016 Horizonwatch Trend BriefBill Chamberlin
The slides provide a quick overview of the Digital Marketing / Personalization of Customer Experience trend. The slides provide summary information, a list of trends to watch and links to additional resources.
'Converge' Report - Shaping Artificial Intelligence for Southeast AsiaShu Jun Lim
This document provides an overview of artificial intelligence and how startups in Southeast Asia are applying AI. It discusses how startups are collecting local training data to build AI solutions that understand Southeast Asian contexts. It also explores how startups are developing natural language processing for local languages and building chatbots on popular regional messaging platforms. Additionally, it examines how other startups are using AI and automation to digitize field operations and business processes.
Global smart furniture market research 2021 reportKARANPRINCE3
This report focuses on the Global smart furniture market research 2021 reportreports market size Market trends, future forecasts, growth opportunities, key end-user industries, and market players. The objectives of the study are to present the key developments of the market across the globe.
As the boundaries blur among hardware, software, services, and telecom, tech sectors become less relevant. Tech companies now distinguish themselves through their strategic identity. This analysis of leading enterprise-oriented information and communications technology (ICT) companies shows them competing for customers -- but setting themselves apart in new ways.
Research clinical laboratory testing volume 2 key players for laboratory tes...Neel Terde
This document provides an overview of key topics related to clinical laboratory testing, including describing the specific business segments, strategies used by laboratory companies to develop new opportunities, and emerging business practices. It profiles leading clinical laboratory companies and analyzes partnerships in the industry. The report examines new business methods to identify growth areas and focuses on companies that market laboratory data.
This white paper discusses Discovery Patterns' analytic platform for unstructured big data that can discover expanded market sentiments. It defines key terms like prevailing and expanded market sentiment. It also describes Discovery Patterns' use of an ultra-granular industry context database called Industry Building Blocks, competitive analytic engines, and trend visualization engines to discover expanded market sentiments. Two case studies are presented that show how expanded market sentiments can provide insights into future market movements and identify investment opportunities when they diverge from prevailing sentiments.
Global Machine Learning Market was valued at USD 10.38 billion in 2021 and is expected to reach USD 112.18 billion by the year 2028, at a CAGR of 40.5%.
Artificial Intelligence Industry: An Overview by Segment by Emerj AI Research Emerj
This document provides a summary of various reports and analyses on how the artificial intelligence market is segmented and categorized. It discusses how the AI market is difficult to define and quantify given its nascent stage of development. It summarizes key findings from reports by CB Insights, VentureScanner, TechEmergence, O'Reilly, Comet Labs, BCC Research, and Nvidia on how the AI market is broken up into industries, technologies, and application areas. The document concludes that while precisely defining segments is challenging, healthcare, marketing, and finance consistently appear as major focus areas for AI companies.
The document discusses how the global data integration market has grown due to increased use of computing devices and need to integrate data from various sources. It provides an overview of the impact of COVID-19 on the market and segmentation of the market by components, organization size, deployment model, solutions, verticals, and region. Major players in the data integration market are also mentioned. The global data integration market is expected to grow at a CAGR of 14.93% until 2025.
The document summarizes Contrive Datum Insights' research methodology for analyzing the global vehicles lighting market from 2023 to 2030. It describes secondary and primary research methods including data collection, validation, analysis, and modeling. Key factors driving market growth are identified as the increasing production of luxury vehicles, mandatory lighting regulations in Europe, and advanced lighting technologies being integrated more rapidly than traditional halogen and xenon lights. The market is expected to be led by Europe and Asia Pacific.
Contrive Datum Insights is a research organization that provides customized market reports. It conducts both primary and secondary research to gather data and validate findings. The organization aims to deliver reports tailored to clients' specific needs rather than generic literature. This document provides an overview of Contrive Datum Insights' research methodology, which involves data collection from multiple sources, statistical analysis techniques, and report customization options. It also includes sample sections from a report on the global autosampler market size and trends.
This document provides an overview of Contrive Datum Insights and their research methodology for analyzing the global airbag market. CDI is a market research firm that produces custom reports on various industries through primary and secondary research. Their methodology involves collecting both qualitative and quantitative data through interviews and surveys with industry experts, as well as analyzing financial reports, publications, and paid databases. CDI aims to provide accurate market sizing and forecasts through statistical modeling and cross-verification of data sources. The document then provides details on CDI's research objectives and scope for their report on the global airbag market.
The global app analytics market to increase from US$ XX.X million in 2020 to US$ XX.X million by 2025 with a compound annual growth rate (CAGR) of XX.X% for the period 2020-2025. The growing investment in emerging technologies and the development of cloud-based analytics tools accelerated the demand for app analytics. The research report on the global app analytics industry provides extensive competition analysis and competitive conditions. The report includes information on significant products, players, challenges and developments, and other information specific to the app analytics industry. The data in this report is targeted for business and industry practitioners and specifically intended to assist in the explanation, direction, and to understand the potential of the app analytics markets. The study focuses on providing readers with an understanding of developments in the industry, market segments, market forecasts, leading players, and market drivers and inhibitors.
This white paper introduces the Industry Building Blocks (IBB) classification system, which divides the global economy into over 17,000 ultra-granular industries. IBB classifications are based on Michael Porter's five competitive forces and define industries based on unique combinations of competitors, buyers, suppliers, substitutes, and potential entrants. This creates a more granular system than traditional industry classifications. The paper argues that understanding industries at this level of granularity provides insights into companies, themes, and mergers that are not possible with less granular classifications. It illustrates how IBB can be used to analyze companies like Apple, which it divides into 50 distinct industries based on competitive dynamics.
Patents can provide insights regarding the state of the art of artificial Intelligence (AI) technology innovation, and thus, a strategic move of a company for the AI innovation leadership. To compare the technology innovation strategy of the three leading companies in the AI business, Google, IBM and Microsoft, patent information is exploited for the cross-competitor analysis.
Contrive Datum Insights is a market research firm that provides customized reports on various markets including the global microcars market. It uses both primary and secondary research methods to gather data and employs statistical modeling to analyze the data and forecast market trends. The document provides an overview of Contrive Datum Insights' research methodology, data sources, analytical approaches, objectives for microcars market reports, and contact information. It also includes a brief market synopsis and outlines factors driving and challenging the global microcars market.
Contrive Datum Insights is a market research firm that provides customized reports summarizing key details about various markets. This document discusses their methodology for researching the global triacetin market from 2023 to 2030. It involves both secondary research of existing data and primary research through expert interviews. The report will analyze factors driving and restraining the triacetin market, provide a regional outlook, and segment the market by type, application, and key players. The goal is to forecast market size and understand competitive developments.
This document provides an overview of Contrive Datum Insights' research methodology for analyzing the global disposable camera market. It describes CDI's secondary and primary research processes, including mining data from reports, paid databases, and interviews. It also outlines CDI's statistical modeling and data analysis tools, which include economic, technological, and industry experience to forecast market trends until 2030. The goal is to provide customized and validated market insights that meet clients' specific needs.
Military Lighting Market Competitive Research And Precise Outlook 2023 To 2030subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Military Lighting Market. Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Military Lighting Market. In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional manner.On the base and by the people who work there, military lighting structures and equipment are used.
This document discusses General Motors and Ford's shift to social media advertising. It explores how the two automakers have embraced social media marketing through platforms like Facebook, YouTube, and Twitter. The document analyzes GM and Ford's presence on these platforms, including the number of likes and followers they have received. It also considers whether their social media efforts have had an impact on car sales. The document presents information from various sources on automakers' spending on digital versus traditional advertising.
thanks for your submission. Prior to introducing the SWOT anal.docxarnoldmeredith47041
thanks for your submission. Prior to introducing the SWOT analysis, your audience needs some background information about the company. Your work lacks a description of the company's history. Your assessment of the financial performance and condition of the organization is brief and does not include any of the concepts covered in class or include any scholarly sources. You provided a good analysis evaluation of the external environment and the organization's opportunities and threats. However, you are missing details about the internal aspect of the company and its strengths and weaknesses. A thorough evaluation of the results of the SWOT analysis requires an investigation of all four component. Good work, you demonstrate your ability and skills to measure performance and recognize trends. However, you may want to analyze some performance indicators even more closely as there are some performance trends you may want to consider and look at more closely. You used the required number of scholarly sources to support ideas. All sources on the reference page are used and cited correctly within the body of the assignment.
Running head: MICROSOFT SWOT ANALYSIS
Microsoft SWOT Analysis
Brea P. Sylvester
BUS402: Strategic Management & Business Policy
Professor Fred Fening
19 January 2019
Brea Sylvester
Brea Sylvester
MICROSOFT SWOT ANALYSIS 2
Microsoft SWOT Analysis
Introduction
A SWOT analysis is a breakdown of a firm’s strengths, weaknesses, opportunities, and threats in
a nutshell. It is an essential tool to deciphering the state of a firm at any one point and is usually
looked at in line with the firm’s ability to satisfy consumers, the market reach it had gained since
it was established, and the level of competition in the market. A firm has to reach this vital
process in order to develop or explain the basis it is doing business. Such information is
especially helpful to staff, top management, shareholders, and government and is thus requested
from time to time in different capacities and formats. For Microsoft, which is a company that
sells computer and software-based products, the SWOT analysis has been particularly helpful in
helping the company attain early market domination and has since faced fierce competition from
companies such as Apple, Facebook, and other Asian based tech companies like Samsung and
Huawei.
Discussion
Specific Areas That Need Change
Some of the fundamental questions that can be asked with regards to a Microsoft SWOT
analysis include What resources are readily available to the firm? How far is its market reach?
What elements give it a sustainable competitive advantage over the rest of the firms doing the
MICROSOFT SWOT ANALYSIS .
Unmanned ground vehicles are increasingly being used for military and civilian applications due to their ability to complete dangerous tasks without risking human life. The document discusses the global unmanned ground vehicle market size and forecast. It is dominated by North America due to high defense spending. Key factors driving the market include UGVs being used for combat missions as they can perform tasks like medical assistance and weapons deployment. The market is segmented by vehicle type and application area such as defense, agriculture, and oil and gas. The publisher, Contrive Datum Insights, provides custom reports on the unmanned ground vehicle market and related industries.
Connected Automotive Market Competitive Research And Precise Outlook 2023 To ...subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Connected Automotive Market. Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Connected Automotive Market. In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional manner.
Similar to Industry Graph plus IBB plus Discovery 06 (20)
Connected Automotive Market Competitive Research And Precise Outlook 2023 To ...
Industry Graph plus IBB plus Discovery 06
1. Int
E
trod
Extend
w
Copyright 2
ucin
ding Se
www.disc
2013 of Netro C
ng th
earchin
Octo
(Updda
coverypatt
City Design & I
he In
g & Dis
ober 14, 2
ated September 30
terns.com
Information Sy
ndus
scover
2013
0, 2014)
m
stems, Inc.
stry G
ry Intell
Grap
igence
ph
e
2. 2
Introducing the Industry Graph
Extending Searching & Discovery Intelligence
October 14, 2013
By James J. Andrus & Alan S. Michaels
Abstract
Useful context is the latest frontier of Internet information. Google is pioneering the next stage of Internet
search with its Knowledge Graph, which aims to understand the searcher’s intent and the contextual meaning
of his/her search terms1
. Facebook has been developing its Social Graph for people to people context by
learning the personal relationships of its users2
. Yahoo has been developing the Interest Graph which builds a
context of personal identity that can be used as indicators of such things as what people might want to do or
buy, where they might want to go, or who they might want to meet, vote for or follow.3
Now the Industry Graph, created by Industry Building Blocks (IBB) and Discovery Patterns, is another
source of useful decision making context. The Industry Graph is being developed to serve competitive
strategy and financial decision making. The Industry Graph first creates useful competitive context around
the companies competing in 16,000 granular industries4
. This high degree of granularity enables useful intra-
industry and inter-industry financial and strategy analyses. The Industry Graph creates a real time situational
awareness by prioritizing unstructured information like news and social media that might indicate interesting
industry trends or changes within the industry composition and broader inter-industry ecosystem. This
Industry Graph context is the foundation for superior searching, discovery, competitive analysis, situational
awareness, market anticipations, financial tracking and investing strategies.
The Fundamental Nature of Competitive
Context
Competitive context defines the environment where
companies and investments either succeed or fail.
The Industry Graph starts with a fundamental
definition of competitive industries first promoted by
Michael Porter of the Harvard Business School. In
the Porter competitive force model5
, the forces of
competitors, buyers, suppliers, new entrants and
substitutes interact to determine industry
attractiveness, market trends, winners and losers.
These forces are so fundamental that nearly every
competitive situation can be assessed and planned for
by defining and tracking these forces. To effectively
track a target industry, a business strategist or financial
analyst should track direct competitors, as well as the
additional companies defined by the Porter forces.
1
Google, Knowledge Graph, http://www.google.com/insidesearch/features/search/knowledge.html, October 9, 2013
2
Wikipedia, Social Graph, http://en.wikipedia.org/wiki/Social_graph, October, 9, 2013
3
Wikipedia, Interest Graph, http://en.wikipedia.org/wiki/Interest_Graph, October 9, 2013
4
Similar contextual build-out efforts are also under way for political campaigns.
5
Michael E. Porter, “Competitive Strategy: Techniques for Analyzing Industries and Competitors” 1980. Also, see: Porter's, HBR
article, 'The Five Competitive Forces That Shape Strategy' 2008
Figure 1: Porter’s Competitive Forces are
archetypes of almost any competitive environment for
business, investing and political decision making.
3. 3
Sixteen Thousand IBB Industries Enable the Industry Graph
Granularity of industry definitions is a key starting point of the Industry Graph. As of this date, the Industry
Graph starts with 16,000 IBB industry definitions that include competing companies and other fundamental
competitive forces. This level of granularity enables the required level of context for business and financial
analysis. The NAICS classification system (which is used by the U.S. government, banks providing SBA
loans, and most of today’s industry information vendors) defines the economy using fewer than 1,100
industries which is almost always at too high a level to appreciate head-to-head competition at the Porter five
forces level. (Most other industry classification systems are even less granular than NAICS.)
Extending Search Insights with the Industry Graph
The Internet has created the illusion that knowledge is immediately available through a search input box.
Alerts extend this illusion with continuous and automatically delivered search results. Yet the problem with
this approach to search is that the useful context of the search query is often lacking. For example, today one
can search for “pizza” on Google, but if Google does not add the useful context of the searcher’s location,
then almost all search results will be useless. The same is true for industry searches. Without the Industry
Graph context, one can search for Toyota and get results from all industries where Toyota competes as well
as accident and crime reports that involve Toyota vehicles. Perhaps the searcher was interested in all of
Toyota. Yet, in most instances, a business searcher of Toyota is typically interested in assessing a
competitive strength or weakness of Toyota, which would require results in the refined context of the Industry
Graph. The Industry Graph solves this lack of focus by defining Toyota as the sum of all the granular
industries in which it competes. By leveraging this industry context, the searcher can better assess Toyota in
the useful context of its competitors, buyers, suppliers, and other competitive forces.
Figure 3: Industry Graph Enhanced Search
enables company searches to deliver summary and
granular results about the company (red check
mark) in a specific industry (i2) with contextually
relevant information about company competitors,
buyers, suppliers, substitutes, and potential
entrants (blue check marks).
Figure 2: A Typical Search without Industry Graph
context will produce summary (at best) results for a
company (red check marks) across all the
industries where it competes - in this figure,
industries 2, 3, 5, 6 8, 10 and 18.
4. 4
Enabling Real-Time Discovery with the Industry Graph
Discovery is the key reason that Google, Facebook and Yahoo are undertaking the development of their
respective Knowledge, Social and Interest graphs. Discovery is that utility that anticipates user interests
without the user needing to specifically search for or request the interesting or needed information. All these
graphs apply the needed context of the searching situation. So too is the goal of the Industry Graph to
anticipate user interests. In business and financial situations, the Industry Graph anticipates competitive
survival interests, while discovering potential threats, opportunities and emerging trends.
Leveraging the granular industry context for news search and discovery is one application of the Industry
Graph. Unstructured data like news and social media are key flows of public information about changes
within competitive industries. Discovery Patterns applies its pattern seeking algorithms to these unstructured
big data flows to discover interesting events and changes to industries that compose the Industry Graph. The
Discovery Patterns algorithms are unique in that they evaluate the aggregate of many articles associated
within specific industries to discover changing relationships and connections among the industry players over
time. For example, if Competitor A adopts a new technology that is needed by Buyer 1, then pattern seeking
algorithms would discover the interesting change between Competitor A and Buyer 1, and highlight that
connection as potentially interesting. Competitor A would interpret this new connection as an opportunity,
while Competitors B and C would discover it and interpret it as a potential threat.
This function of Discovery prioritization is important because many industries contain thousands of weekly
unstructured data articles. Discovery Patterns algorithms prioritize those articles that describe the most
interesting information, thereby creating an efficient, real-time information source for its users that does not
require them to wade through overwhelming volumes of unstructured articles.
Figure 4: Industry Graph Discovery starts with granular industry definitions – in this figure
industry i2. Real time news and social media are continuously gathered relative to a specific
company (red check mark) and the specific contextual lens of industry 2 with associated
competitors, suppliers, buyers, substitutes and new entrants (blue check marks). Competitive
pattern seeking algorithms discover the priority articles and trends that might deserve attention
within and between industry forces.
5. 5
Example of Enhanced News Search and Discovery with the Industry Graph
To start an Industry Graph news search, a user might simply request information about Toyota. Such an
inquiry about Toyota could either return all unstructured articles about Toyota, or a second decision step
could be considered by the searcher for more focused Industry Graph information. Table 1 is a partial list
and serves as an example of the level of industry granularity possible within Industry Graph about industries
where Toyota competes.
Table 1: Partial Industry List for Toyota (via Industry Building Blocks data base)
Motor Vehicle / Transportation Energy (see detail in Table 2)
Motor Vehicle / Auto Air Conditioning Manufacturing
Motor Vehicle / Auto Airbag Manufacturing
Motor Vehicle / Auto Compressors Manufacturing
Motor Vehicle / Auto Doors & Door Panel Manufacturing
Motor Vehicle / Auto Electronics - Body Electronics
Motor Vehicle / Auto Entertainment & Infotainment Products
Motor Vehicle / Auto Filters - Oil Filters & Transmission Fluid
Motor Vehicle / Auto Instrument Panels & Auto Cockpit
Motor Vehicle / Auto Lighting & Auto Illumination
Motor Vehicle / Auto Seat Fabric & Seat Foam Manufacturing
Motor Vehicle / Auto Seating Manufacturing
Motor Vehicles / Autos - Hybrid Gas-Electric Cars
Motor Vehicles / Autos - Regular Full Size & Premium Cars
Motor Vehicles / Autos - Super Luxury Cars
Motor Vehicles / Autos - SUVs & Minivans
Motor Vehicles / Light Trucks & Pickup Trucks
Motor Vehicles / Vans - Standard Vans
Trucks / Flatbed Truck Manufacturing
Leasing / Truck Leasing & Trailer Leasing
Aisle Truck Manufacturing
Automatic Guided Vehicle Systems Manufacturing
Order Picking Truck Manufacturing
Rail Guided Vehicle Systems Manufacturing
Pallet Trucks / Automatic Guided Pallet Truck Manufacturing
Tractors / Tow Tractor Manufacturing
Forklifts / Automatic Guided Forklift Truck Manufacturing
Forklifts / Battery & Electric Lift Truck Manufacturing
Loaders / Skid Loaders & Skid Steer Loader Manufacturing
Robots / Palletizing Robot Manufacturing
Automated Storage and Retrieval System Manufacturing
Reach Trucks / Reach Truck Manufacturing
Transportation Energy in Table 1 is a composite of several IBB industries, created for the purpose of
discovering relevant news, trends, and emerging competitive participants as transportation transitions from
gasoline to alternative energy sources. If the searcher next requests the Transportation Energy Industry
Group, the following Table 2 extends Toyota with the competitive context of Competitors, Suppliers,
Substitutes, Potential Entrants and Buyers:
Table 2:
Example Detail of Composite Transportation Energy Industry Group – Key Company Participants
Competitors Suppliers Substitutes Entrants Buyers
GM Exxon Hybrids Tesla Note 1
Ford BP Electric Vehicles Google
Honda Shell Ethanol Driverless
Toyota Chevron Diesel
VW/Audi Butanol
BMW Biodiesel
Mercedes Fuel Cells
Hydrogen
Natural Gas
Algae Biofuel
Dimethyl Ether
Note 1: Buyer companies are not detailed as individual consumers are the purchasers of most vehicles
Table 2 Industry Graph context is invaluable for business and financial planning and analysis. In this specific
example for Toyota, one can now better understand Toyota’s competitive threats and opportunities as it
competes with other auto manufacturers in the pivotal Transportation Energy industry. Searches can be
specific to Toyota within the Transportation Energy Industry, or searches can select the entire industry and
6. 6
include all relevant articles about Toyota and the associated Transportation Energy Group competitors,
suppliers, buyers, substitutes and potential entrants. In searches of an entire industry, the searcher does not
need to know the Industry Graph context as detailed in Table 2 for the Transportation Energy industry group.
Searches of Toyota in this specific industry context will likewise eliminate results from Toyota’s robotic and
seat manufacturing operations. Table 3 provides Industry Graph specific news search results for Toyota in
the Transportation Energy group.
Table 3: Example Toyota News Search Results for Transportation Energy Industry Group
for the Week of October 6, 2013
* Honda Fit Designed as Prius Killer in Challenge to Toyota (Bloomberg)
* Toyota cuts price for Prius Plug-in hybrid (Reuters)
* Toyota, Honda Unveil New Electric Cars (Wall Street Journal)
* The High-Tech Car Of The Future Is Around The Corner (Investor’s Business Daily)
* Toyota says slashes fuel cell costs by nearly $1 million for new ...(Chicago Tribune)
* Toyota navigates popular paths with redesigned RAV4 (Video) (Phoenix Business Journal)
Table 4 gives examples of discovered trends within the Transportation Energy industry group. This table
highlights eight industry topics worthy of attention over the course of a week, out of five hundred or more
topics or connections between topics. The typical user experience would enable him/her to immediately drill
down to the driving news and social media of the highlighted topics. In the spirit of Industry Graph utility,
the user has the superior context of industry detail, completeness, prioritization and real-time situational
awareness.
Table 4: Discovered Transportation Energy Industry Group Topics for Week of October 6, 2013
Industry Topic Name Interesting Characteristic Type of Topic(s)
Hybrids Central to all transformation trends Substitute
Diesel Central to all transformation trends Substitute
Toyota Current connection to Hybrids Competitor - Substitute
Methanol Growing in industry relevance Substitute
Exxon Decreasing in industry relevance Supplier
Mercedes Decreasing in industry relevance Competitor
Electric Vehicles New connection to Driverless Substitute - Entrant
Tata New connection to Natural Gas Competitor - Substitute
Color Legend
Competitor Supplier Buyer Substitute Entrant
Table 5 gives examples of discovered articles within the Transportation Energy industry. The source of these
articles could be any unstructured digital source, including subscription feeds. Table 5 highlights articles
worthy of attention over the course of a week, out of thousands of potentially relevant Transportation Energy
articles. The results of Table 5 were discovered based on their overall industry relevancy by pattern seeking
algorithms. Notice that there is a mixture of competitor, supplier, buyer, substitute and new entrant articles.
A user could certainly focus his/her search on any individual topic within the industry, with the immediate
benefit that results would be in the context of the Transportation Energy ecosystem. Also notice that the
Industry Graph topic of Buyer was discovered in the “Tesla Fire” and “easy to adopt” articles even though
there was no explicit topic categorizing Buyers as seen in Table 1.
7. 7
Table 5: Discovered Transportation Energy Industry Group Articles for Week of October 6, 2013
* Honda Fit Designed as Prius Killer in Challenge to Toyota (Bloomberg)
* Warren Brown: Audi's luxurious diesel Q5 TDI Quattro is powerful ... (Washington Post)
* Owner of Battery Fire Tesla Vehicle: Car 'Performed Very Well, Will Buy Again' (Slashdot) (Buyer example)
* Battery Maker Shifts to Hybrid Car Focus (Wall Street Journal)
* Toyota cuts price for Prius Plug-in hybrid (Reuters)
* Neste Pro Diesel is the first fuel to comply with the WWFC 5 ... (MarketWatch)
* Tata Nano CNG Emax: India's Most Fuel-Efficient... (Green Car Reports)
* New Fleet of Natural Gas Powered Trucks Arrives in Twin Cities (Wall Street Journal)
* When California had 15,000 methanol cars | Fuel Freedom (Fuel Freedom)
* VIDEO: Electric vehicles 'easy' to adopt (BBC News) (Buyer example)
Key Advantages of Industry Graph Search and Discovery
Granular Industry Graph context enables superior searching, discovery, competitive analysis and
financial tracking.
Searcher does not need to define the details of his/her competitive environment: competitors,
suppliers, buyers, new entrants and substitute relationships.
Search engines and unstructured data feed services can enable superior business and financial search
results for users without their laborious and tedious effort of refining or maintaining search queries.
Discovery enables a real-time analytic process for prioritized situational awareness of unstructured big
data.
Once personalized discovery is activated, decision makers do not need to dedicate daily effort to
searching or scanning for relevant unstructured data, or waiting for others to pass information along.
Conclusion
Google and all the major knowledge engines are embracing the next generation of searching and discovery
technologies with their various Knowledge, Social and Interest Graphs. Industry Graph as created by
Discovery Patterns and Industry Building Blocks is the knowledge graph for business and financial decision
making.
Managers know that discovering and learning about global information is vital for making good market
decisions. Today, these strategic and financial decisions are made in torrents of world-wide unstructured
data, written by thousands of conventional and nonconventional content creators, exemplified by individuals
tweeting about company products. It is increasingly clear that there are patterns among these unstructured
flows; and the impact is best understood at the (Porter) five forces level where true competition takes place.
Discovery Patterns provides the technology and services to leverage the intelligence often hidden in these
flows.
In the experience of Discovery Patterns, effective pattern discovery technology can be based on swarm
intelligence, or the intelligence of colony animals like bees. Discovery Patterns has created trend discovery
networks that aim at specific companies and granular industries, that are constantly changing based on near
real time unstructured data flows. By applying sophisticated pattern seeking algorithms that are based on
archetypes of competitive interactions, Discovery Patterns is able to reveal long term patterns that might be
key components of creating superior business and investment strategies. By proactively accessing, analyzing,
and leveraging strategically relevant global information – in context - companies have a better chance of
beating the competition and investors have better odds because they will know what they need to know
sooner.
8. 8
Keywords: discovery; Industry Graph; unstructured big data, analytics, granular industry classification,
industry analysis; industry ecosystem; industry trends, pattern seeking algorithms
About James J. Andrus
James J. Andrus is President and technical founder of Discovery Patterns, incorporated as Netro City Design
& Information Systems Inc. at http://www.DiscoveryPatterns.com. Jim and Discovery Patterns have been
data science development leaders of unstructured big data analytics, accompanied by dynamic visualizations
of discovered patterns. Jim has spent the past decade working with Fortune 50 corporations, individuals and
national political campaigns to deliver real-time situational awareness and early warnings of competitive
threats and opportunities. Recently, Jim is a co-developer of the Industry Graph. Jim is an engineering
graduate of the University of Cincinnati and master’s degree graduate from the Kellogg School of
Management of Northwestern University. james.andrus@discoverypatterns.com
About Alan S. Michaels
Alan S. Michaels is the owner of Industry Building Blocks at http://IndustryBuildingBlocks.com which
provides industry information for the top 16,000 global industries. The Industry Building Blocks
Classification System [TM] is 14x more granular than the commonly used NAICS taxonomy. The IBBCS
also enables companies to be compared, side by side, at the line-of-business level where true competition
takes place. Alan also manages the LinkedIn group, “Corporate Planning, Strategy & Strategic Market
Segmentation” with over 20,000 members at: http://www.linkedin.com/groups?about=&gid=1846141.
Recently, Alan is a co-developer of the Industry Graph. He attended SUNY Binghamton where he graduated
from: Harpur College, the Graduate School of Business, and the Watson School of Engineering.
amichaels@IndustryBuildingBlocks.com