Welcome!

Symbian Authors: Jack Newton, Kevin Benedict, Matthew Lobas, Shelly Palmer, RealWire News Distribution

News Feed Item

Online Shopping Habits of Business Executives in North America, 2012-2013

NEW YORK, Nov. 5, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Online Shopping Habits of Business Executives in North America, 2012-2013
http://www.reportlinker.com/p01023932/Online-Shopping-Habits-of-Business-Executives-in-North-America-2012-2013.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=e-Commerce

Product Synopsis
"Online Shopping Habits of Business Executives in North America, 2012-2013" is a new report by Canadean that analyzes business executive trends in online retail and explores how opportunities and demand are set to change in 2012-2013. Furthermore, this report provides a comprehensive overview of online business executive visits and percentage contribution at online retail stores in 2012 including the average expenditure at online retail stores. Moreover, the report analyzes the purchasing trends based on business executive's buying behavior and also identifies the significance of websites and electronic devices used for online purchases. In addition, this report outlines the key product categories preferred by business executives through mobile shopping. Additionally, the report provides an insight into the key factors that help promote online retailing and identifies the most important business executive concerns when purchasing at online stores. This report not only grants access to the opinions and behavior of business executives, but also examines their actions surrounding business priorities. The report also provides access to information categorized by age, gender and annual income.

Introduction and Landscape
Why was the report written?
This report is the result of an extensive survey drawn from Canadean's exclusive panel of North American business executives. This report provides the reader with a definitive analysis of business executive trends in online retail and explores how opportunities and demand are set to change in 2012-2013. Furthermore, this report not only grants access to the opinions and purchasing behavior of online business executives, but also examines their expectations of total expenditure in online retail stores and necessary developments for better business executive footfall. The report also provides access to information categorized by age, gender and annual income.

What is the current market landscape and what is changing?
The average North American business executive expenditure per visit to online retail stores is US$79.

What are the key drivers behind recent market changes?
'24X7 shopping', 'speedy shopping', and 'comparative prices' are the significant reasons behind the growth in demand in online retailing.

What makes this report unique and essential to read?
"Online Shopping Habits of Business Executives in North America, 2012-2013" is a new report by Canadean that analyzes business executive trends in online retail and explores how opportunities and demand are set to change in 2012-2013. Furthermore, this report provides a comprehensive overview of online business executive visits and percentage contribution at online retail stores in 2012 including the average expenditure at online retail stores. Moreover, the report analyzes the purchasing trends based on business executives buying behavior and also identifies the significance of websites and electronic devices used for online purchases. In addition, this report outlines the key product categories preferred by business executives through mobile shopping. Additionally, the report provides an insight into the key factors that help promote online retailing and identifies the most important business executive concerns when purchasing at online stores. This report not only grants access to the opinions and behavior of business executives, but also examines their actions surrounding business priorities. The report also provides access to information categorized by age, gender and annual income.

Key Features and Benefits
Projects opinions and purchasing behavior of business executives and examines their expectations of total expenditure in online retail stores and necessary developments for better business executive footfall.

Reveals the average North American business executives expenditure per visit to online retail stores.

Uncover key challenges and opportunities in shopping at online retail stores and identify the key actions required to overcome the challenges.

Perceive the significance of planned and impulsive buying behaviors at online retail stores.

Identify key product categories purchased at online retail stores based on their shopping frequency.

Key Market Issues
Overall, 52% of business executives stated that their 'planned' online purchases ranged up to '81% and above', while 58% of business executives declared that their 'impulsive' purchases are '20% and below'.

In total, 90% of North American business executives mostly favor 'multi-brand websites' when online shopping. In addition, 'single brand websites' and 'auction sites' are other popular types with 53% and 42% using these respectively.

A high percentage use, 'tablet PC or iPad', 'desktop computer' and 'Laptop / Netbook', and 'mobile phone (Smartphone)' to research and purchase a product online.

Business executives identified 'unable to assess the product', 'unprepared to pay delivery costs', and 'unsafe personal details' as the critical factors that prevent them from shopping online.

Business executives 'always' verify key attributes such as 'price', 'features', 'reviews', and 'special offers', while researching a product online. Conversely, 'delivery modes' and 'return policy' are rarely observed.

Key Highlights
'Online retailing', 'department stores', and 'drug stores and health and beauty stores' are the top three retail channels for shopping as identified by the business executives.

The survey reveals that 43% of business executives spend between 'US$51-100' per visit when shopping online, while 32% spend between 'US$21-50' per visit.

In total, 42% of business executives acknowledged that they 'always' prefer 'search engines' as the initial start point for online product research and purchasing.

'Food and grocery' and 'health and beauty' are the principal product categories about which they research online at least 'once a week or more'.

Most of the business executives plan to change their online retailer for purchasing 'furniture and floor coverings', 'sports and leisure', and 'electrical and electronics'.

1 Introduction
1.1 What is This Report About?
1.2 Definitions
1.3 Methodology
1.4 Profile of Business Executives: North American Online Retail Industry
2 Executive Summary
3 North American Business Executives' Online Retail Trends
3.1 Most Popular Retail Channels: North American Business Executives
3.1.1 Business executives: most popular retail channels by age
3.1.2 Business executives: most popular retail channels by gender
3.1.3 Business executives: most popular retail channels by annual income
3.2 Online Shopping Frequency among North American Business Executives based on Product Categories
3.2.1 Business executives: online shopping frequency based on product categories by gender
3.3 Commonly used Payment Facilities by North American Business Executives for Online Shopping
3.3.1 Business executives: commonly used payment facilities for online shopping by age
3.3.2 Business executives: commonly used payment facilities for online shopping by gender
3.3.3 Business executives: commonly used payment facilities for online shopping by annual income
4 North American Online Shopping: Business Executives' Expenditure and Purchasing Patterns
4.1 North American Business Executives: Percentage Contribution towards Online Shopping
4.1.1 Business executives: percentage contribution towards online shopping by age
4.1.2 Business executives: percentage contribution towards online shopping by gender
4.1.3 Business executives: percentage contribution towards online shopping by annual income
4.2 North American Business Executives: Impulsive and Planned Online Purchases
4.2.1 Business executives: impulsive and planned online purchases by age
4.2.2 Business executives: impulsive and planned online purchases by gender
4.2.3 Business executives: impulsive and planned online purchases by annual income
4.3 North American Business Executives: Average Expenditure on Online Retail
4.3.1 Business executives: average expenditure on online retail in North America by age
4.3.2 Business executives: average expenditure on online retail in North America by gender
4.3.3 Business executives: average expenditure on online retail in North America by annual income
4.3.4 Business executives: shopping frequency at online retail stores vs. average expenditure
5 North American Business Executives' Online Shopping: Drivers and Barriers
5.1 North American Business Executives: Key Drivers of Demand Growth in Online Retail
5.1.1 North American business executives: key drivers of demand growth in online retail by age
5.1.2 North American business executives: key drivers of demand growth in online retail by gender
5.1.3 Business executives: key drivers of demand growth in online retail by annual income
5.2 North American Business Executives: Influence of Key Drivers in Online Retail
5.2.1 Business executives: influence of key drivers in online retail by age
5.2.2 Business executives: influence of key drivers in online retail by gender
5.2.3 Business executives: influence of key drivers in online retail by annual income
5.3 North American Business Executives: Principal Barriers of Online Retail
5.3.1 North American business executives: principal barriers of online retail by age
5.3.2 North American business executives: principal barriers of online retail by gender
5.4 North American Business Executives: Impact of Key Barriers in Online Retail
6 North American Business Executives' Online Retail: Significance of Websites and Electronic Devices
6.1 North American Business Executives: Most Popular Websites used for Online Shopping
6.1.1 Business executives: most popular websites used for online shopping by age
6.1.2 Business executives: most popular websites used for online shopping by gender
6.1.3 Business executives: most popular websites used for online shopping by annual income
6.1.4 Business executives: most popular websites used for online shopping vs. average expenditure
6.2 North American Business Executives: Frequency of Use Electronic Medium in Online Retail
6.2.1 Business executives: frequency of electronic medium in online retail by age
6.2.2 Business executives: frequency of electronic medium in online retail by gender
6.2.3 Business executives: frequency of electronic medium in online retail by annual income
6.3 North American Business Executives: Electronic Devices used for Online Research or Purchasing
6.3.1 Business executives: electronic devices used for online research or purchasing by age
6.3.2 Business executives: electronic devices used for online research or purchasing by gender
6.3.3 Business executives: electronic devices used for online research or purchasing by annual income
6.4 North American Business Executives: Preferred Product Categories through Mobile Shopping
6.4.1 Business executives: preferred product categories through mobile shopping by gender
7 Research Trends in North American Business Executives' Online Retail
7.1 North American Business Executives: Key Attributes of Online Product Research
7.1.1 Business executives: key attributes of online product research by age
7.1.2 Business executives: key attributes of online product research by gender
7.1.3 Business executives: key attributes of online product research by annual income
7.2 North American Business Executives: Frequency of Online Research
7.2.1 Business executives: frequency of online research by gender
7.3 North American Business Executives: Online Research vs. Purchase
7.3.1 Business executives: online research vs. purchase by age
7.3.2 Business executives: online research vs. purchase by gender
7.3.3 Business executives: online research vs. purchase by annual income
7.3.4 Business executives: electronic devices vs. online research or purchasing
8 Key Promotional and Marketing Activities for Business Growth: North American Business Executives
8.1 North American Business Executives: Change in Online Retailers
8.2 North American Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail
8.2.1 Business executives: effectiveness of discount coupons or vouchers in online retail by age
8.2.2 Business executives: effectiveness of discount coupons or vouchers in online retail by gender
8.2.3 Business executives: effectiveness of discount coupons or vouchers in online retail by annual income
8.3 North American Business Executives: Frequency of Utilizing: 'People who bought this item also bought/related items' Section
9 Appendix
9.1 Online Shopping Habits of Business Executives in North America-Survey Results
9.2 About Canadean
9.3 Disclaimer

List of Tables
Table 1: North American Business Executives by Age (%), 2012
Table 2: North American Business Executives by Gender (%), 2012
Table 3: North American Business Executives by Annual Income (%), 2012
Table 4: Most Popular Retail Channels in North America (% Business Executive Respondents), 2012
Table 5: Business Executives: Most Popular Retail Channels in North America by Age (%), 2012
Table 6: Business Executives: Most Popular Retail Channels in North America by Gender (%), 2012
Table 7: Business Executives: Popular Retail Channels in North America by Annual Income (%), 2012
Table 8: Online Shopping Frequency of Business Executives in North America based on Product Categories (%), 2012
Table 9: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Male) %, 2012
Table 10: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Female) %, 2012
Table 11: Commonly used Payment Facilities by Business Executives in North America for Online Shopping (%), 2012
Table 12: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Age (%), 2012
Table 13: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Gender (%), 2012
Table 14: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Annual Income (%), 2012
Table 15: Percentage Contribution of Business Executives towards Online Shopping in North America (%), 2012
Table 16: Percentage Contribution of Business Executives towards Online Shopping in North America by Age (%), 2012
Table 17: Percentage Contribution of Business Executives towards Online Shopping in North America by Gender (%), 2012
Table 18: Percentage Contribution of Business Executives towards Online Shopping in North America by Annual Income (%), 2012
Table 19: Business Executives: Impulsive and Planned Online Purchases in North America (%), 2012
Table 20: Business Executives: Impulsive and Planned Online Purchases in North America by Age (%), 2012
Table 21: Business Executives: Impulsive and Planned Online Purchases in North America by Gender (%), 2012
Table 22: Business Executives: Impulsive and Planned Online Purchases in North America by Annual Income (%), 2012
Table 23: Business Executives: Average Expenditure on Online Retail in North America (%), 2012
Table 24: Business Executives: Average Expenditure on Online Retail in North America by Age (%), 2012
Table 25: Business Executives: Average Expenditure on Online Retail in North America by Gender (%), 2012
Table 26: Business Executives: Average Expenditure on Online Retail in North America by Annual Income (%), 2012
Table 27: North American Business Executives: Shopping Frequency at Online Retail Stores vs. Average Expenditure (%), 2012
Table 28: North American Business Executives: Key Drivers of Demand Growth in Online Retail (%), 2012
Table 29: North American Business Executives: Key Drivers of Demand Growth in Online Retail by Gender (%), 2012
Table 30: Business Executives: Influence of Key Drivers in Online Retail in North America (%), 2012
Table 31: Business Executives: Influence of Key Drivers in Online Retail in North America by Gender (%), 2012
Table 32: Business Executives: Influence of Key Drivers in Online Retail in North America by Annual Income (%), 2012
Table 33: Business Executives: Principal Barriers of Online Retail in North America (%), 2012
Table 34: Business Executives: Principal Barriers of Online Retail in North America by Gender (%), 2012
Table 35: Business Executives: Impact of Key Barriers in Online Retail in North America (%), 2012
Table 36: Business Executives: Most Popular Websites used for Online Shopping in North America (%), 2012
Table 37: Business Executives: Most Popular Websites used for Online Shopping in North America by Age (%), 2012
Table 38: Business Executives: Most Popular Websites used for Online Shopping in North America by Gender (%), 2012
Table 39: Business Executives: Most Popular Websites used for Online Shopping vs. Average Expenditure (%), 2012
Table 40: Business Executives: Frequency of Electronic Medium in Online Retail in North America (%), 2012
Table 41: Business Executives: Frequency of Electronic Medium in Online Retail in North America by Gender (%), 2012
Table 42: Business Executives: Frequency of Electronic Medium in Online Retail in North America by Annual Income (%), 2012
Table 43: Business Executives: Electronic Devices used for Online Research or Purchasing in North America (%), 2012
Table 44: Business Executives: Electronic Devices used for Online Research in North America by Age (%), 2012
Table 45: Business Executives: Electronic Devices used for Online Purchasing in North America by Age (%), 2012
Table 46: Business Executives: Electronic Devices used for Online Research in North America by Gender (%), 2012
Table 47: Business Executives: Electronic Devices used for Online Purchasing in North America by Gender (%), 2012
Table 48: Business Executives: Electronic Devices used for Online Research in North America by Annual Income (%), 2012
Table 49: Business Executives: Electronic Devices used for Online Purchasing in North America by Annual Income (%), 2012
Table 50: Business Executives: Preferred Product Categories through Mobile Shopping in North America (%), 2012
Table 51: Business Executives: Preferred Product Categories through Smart Phone Shopping in North America by Gender (%), 2012
Table 52: Business Executives: Preferred Product Categories through Tablet PC Shopping in North America by Gender (%), 2012
Table 53: Business Executives: Key Attributes of Online Product Research in North America (%), 2012
Table 54: Business Executives: Key Attributes of Online Product Research in North America by Age (%), 2012
Table 55: Business Executives: Key Attributes of Online Product Research in North America by Gender (%), 2012
Table 56: Business Executives: Key Attributes of Online Product Research in North America by Annual Income (%), 2012
Table 57: Business Executives: Frequency of Online Research in North America (%), 2012
Table 58: Business Executives: Frequency of Online Research in North America by Male (%), 2012
Table 59: Business Executives: Frequency of Online Research in North America by Female (%), 2012
Table 60: Business Executives: Online Research vs. Purchase (%), 2012
Table 61: Business Executives: Online Research vs. Purchase by Age (%), 2012
Table 62: Business Executives: Online Research vs. Purchase by Gender (%), 2012
Table 63: Business Executives: Online Research vs. Purchase by Annual Income (%), 2012
Table 64: Business Executives: Change in Online Retailers in North America (%), 2012
Table 65: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail (%), 2012
Table 66: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Age (%), 2012
Table 67: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Gender (%), 2012
Table 68: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Annual Income (%), 2012
Table 69: Survey Results

List of Figures
Figure 1: Most Popular Retail Channels in North America (% Business Executive Respondents), 2012
Figure 2: Business Executives: Most Popular Retail Channels in North America by Age (%), 2012
Figure 3: Business Executives: Most Popular Retail Channels in North America by Gender (%), 2012
Figure 4: Business Executives: Popular Retail Channels in North America by Annual Income (%), 2012
Figure 5: Online Shopping Frequency of Business Executives in North America based on Product Categories (%), 2012
Figure 6: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Male) %, 2012
Figure 7: Online Shopping Frequency of Business Executives based on Product Categories by Gender (Female) %, 2012
Figure 8: Commonly used Payment Facilities by Business Executives in North America for Online Shopping (%), 2012
Figure 9: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Gender (%), 2012
Figure 10: Commonly used Payment Facilities by Business Executives in North America for Online Shopping by Annual Income (%), 2012
Figure 11: Percentage Contribution of Business Executives towards Online Shopping in North America (%), 2012
Figure 12: Percentage Contribution of Business Executives towards Online Shopping in North America by Age (%), 2012
Figure 13: Percentage Contribution of Business Executives towards Online Shopping in North America by Gender (%), 2012
Figure 14: Percentage Contribution of Business Executives towards Online Shopping in North America by Annual Income (%), 2012
Figure 15: Business Executives: Impulsive and Planned Online Purchases in North America (%), 2012
Figure 16: Business Executives: Impulsive and Planned Online Purchases in North America by Age (%), 2012
Figure 17: Business Executives: Impulsive and Planned Online Purchases in North America by Gender (%), 2012
Figure 18: Business Executives: Impulsive and Planned Online Purchases in North America by Annual Income (%), 2012
Figure 19: Business Executives: Average Expenditure on Online Retail in North America (%), 2012
Figure 20: Business Executives: Average Expenditure on Online Retail in North America by Age (%), 2012
Figure 21: Business Executives: Average Expenditure on Online Retail in North America by Gender (%), 2012
Figure 22: Business Executives: Average Expenditure on Online Retail in North America by Annual Income (%), 2012
Figure 23: North American Business Executives: Key Drivers of Demand Growth in Online Retail (%), 2012
Figure 24: North American Business Executives: Key Drivers of Demand Growth in Online Retail by Age (%), 2012
Figure 25: North American Business Executives: Key Drivers of Demand Growth in Online Retail by Annual Income (%), 2012
Figure 26: Business Executives: Influence of Key Drivers in Online Retail in North America (%), 2012
Figure 27: Business Executives: Influence of Key Drivers in Online Retail in North America by Age (%), 2012
Figure 28: Business Executives: Influence of Key Drivers in Online Retail in North America by Gender (%), 2012
Figure 29: Business Executives: Principal Barriers of Online Retail in North America (%), 2012
Figure 30: Business Executives: Principal Barriers of Online Retail in North America by Age (%), 2012
Figure 31: Business Executives: Principal Barriers of Online Retail in North America by Gender (%), 2012
Figure 32: Business Executives: Impact of Key Barriers in Online Retail in North America (%), 2012
Figure 33: Business Executives: Most Popular Websites used for Online Shopping in North America (%), 2012
Figure 34: Business Executives: Most Popular Websites used for Online Shopping in North America by Age (%), 2012
Figure 35: Business Executives: Most Popular Websites used for Online Shopping in North America by Gender (%), 2012
Figure 36: Business Executives: Most Popular Websites used for Online Shopping in North America by Annual Income (%), 2012
Figure 37: Business Executives: Most Popular Websites used for Online Shopping vs. Average Expenditure (%), 2012
Figure 38: Business Executives: Frequency of Electronic Medium in Online Retail in North America (%), 2012
Figure 39: Business Executives: Frequency of Electronic Medium in Online Retail in North America by Age (%), 2012
Figure 40: Business Executives: Frequency of Electronic Medium in Online Retail in North America by Gender (%), 2012
Figure 41: Business Executives: Electronic Devices used for Online Research or Purchasing in North America (%), 2012
Figure 42: Business Executives: Electronic Devices used for Online Research in North America by Gender (%), 2012
Figure 43: Business Executives: Electronic Devices used for Online Purchasing in North America by Gender (%), 2012
Figure 44: Business Executives: Preferred Product Categories through Mobile Shopping in North America (%), 2012
Figure 45: Business Executives: Preferred Product Categories through Smart Phone Shopping in North America by Gender (%), 2012
Figure 46: Business Executives: Preferred Product Categories through Tablet PC Shopping in North America by Gender (%), 2012
Figure 47: Business Executives: Key Attributes of Online Product Research in North America (%), 2012
Figure 48: Business Executives: Key Attributes of Online Product Research in North America by Gender (%), 2012
Figure 49: Business Executives: Key Attributes of Online Product Research in North America by Annual Income (%), 2012
Figure 50: Business Executives: Frequency of Online Research in North America (%), 2012
Figure 51: Business Executives: Frequency of Online Research in North America by Male (%), 2012
Figure 52: Business Executives: Frequency of Online Research in North America by Female (%), 2012
Figure 53: Business Executives: Online Research vs. Purchase (%), 2012
Figure 54: Business Executives: Online Research vs. Purchase by Age (%), 2012
Figure 55: Business Executives: Online Research vs. Purchase by Gender (%), 2012
Figure 56: Business Executives: Online Research vs. Purchase by Annual Income (%), 2012
Figure 57: Business Executives: Electronic Devices vs. Possibility to End Up Purchasing a Product
Figure 58: Business Executives: Change in Online Retailers in North America (%), 2012
Figure 59: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail (%), 2012
Figure 60: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Age (%), 2012
Figure 61: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Gender (%), 2012
Figure 62: Business Executives: Effectiveness of Discount Coupons or Vouchers in Online Retail by Annual Income (%), 2012
Figure 63: Frequency of Utilizing: 'People who bought this item also bought.../related items' Section (%), 2012BIC Sport, ALM Global Sales, Cost Plus, www.circuitcity.com, www.cooking.com, Modell's Sporting Goods, Asda, JLP Marketing, RandP Enterprises, High-Fidelity, Eddie Bauer, www.sony.com, www.target.com, www.sportchalet.com, www.compactappliance.com, www.target.com, CarsDirect, www.geappliances.com, Bidz.com, Ultra Fragrances.

To order this report:
e-Commerce Industry:
Online Shopping Habits of Business Executives in North America, 2012-2013

_________________________
Contact Nicolas: [email protected]
US: (805)-652-2626
Intl: +1 805-652-2626

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
In his session at @ThingsExpo, Arvind Radhakrishnen discussed how IoT offers new business models in banking and financial services organizations with the capability to revolutionize products, payments, channels, business processes and asset management built on strong architectural foundation. The following topics were covered: How IoT stands to impact various business parameters including customer experience, cost and risk management within BFS organizations.
Here are the Top 20 Twitter Influencers of the month as determined by the Kcore algorithm, in a range of current topics of interest from #IoT to #DeepLearning. To run a real-time search of a given term in our website and see the current top influencers, click on the topic name. Among the top 20 IoT influencers, ThingsEXPO ranked #14 and CloudEXPO ranked #17.
While the focus and objectives of IoT initiatives are many and diverse, they all share a few common attributes, and one of those is the network. Commonly, that network includes the Internet, over which there isn't any real control for performance and availability. Or is there? The current state of the art for Big Data analytics, as applied to network telemetry, offers new opportunities for improving and assuring operational integrity. In his session at @ThingsExpo, Jim Frey, Vice President of S...
With the introduction of IoT and Smart Living in every aspect of our lives, one question has become relevant: What are the security implications? To answer this, first we have to look and explore the security models of the technologies that IoT is founded upon. In his session at @ThingsExpo, Nevi Kaja, a Research Engineer at Ford Motor Company, discussed some of the security challenges of the IoT infrastructure and related how these aspects impact Smart Living. The material was delivered interac...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Amazon started as an online bookseller 20 years ago. Since then, it has evolved into a technology juggernaut that has disrupted multiple markets and industries and touches many aspects of our lives. It is a relentless technology and business model innovator driving disruption throughout numerous ecosystems. Amazon’s AWS revenues alone are approaching $16B a year making it one of the largest IT companies in the world. With dominant offerings in Cloud, IoT, eCommerce, Big Data, AI, Digital Assista...
In his session at Cloud Expo, Alan Winters, U.S. Head of Business Development at MobiDev, presented a success story of an entrepreneur who has both suffered through and benefited from offshore development across multiple businesses: The smart choice, or how to select the right offshore development partner Warning signs, or how to minimize chances of making the wrong choice Collaboration, or how to establish the most effective work processes Budget control, or how to maximize project result...
The Founder of NostaLab and a member of the Google Health Advisory Board, John is a unique combination of strategic thinker, marketer and entrepreneur. His career was built on the "science of advertising" combining strategy, creativity and marketing for industry-leading results. Combined with his ability to communicate complicated scientific concepts in a way that consumers and scientists alike can appreciate, John is a sought-after speaker for conferences on the forefront of healthcare science,...
In his keynote at 19th Cloud Expo, Sheng Liang, co-founder and CEO of Rancher Labs, discussed the technological advances and new business opportunities created by the rapid adoption of containers. With the success of Amazon Web Services (AWS) and various open source technologies used to build private clouds, cloud computing has become an essential component of IT strategy. However, users continue to face challenges in implementing clouds, as older technologies evolve and newer ones like Docker c...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Data is the fuel that drives the machine learning algorithmic engines and ultimately provides the business value. In his session at Cloud Expo, Ed Featherston, a director and senior enterprise architect at Collaborative Consulting, discussed the key considerations around quality, volume, timeliness, and pedigree that must be dealt with in order to properly fuel that engine.
Personalization has long been the holy grail of marketing. Simply stated, communicate the most relevant offer to the right person and you will increase sales. To achieve this, you must understand the individual. Consequently, digital marketers developed many ways to gather and leverage customer information to deliver targeted experiences. In his session at @ThingsExpo, Lou Casal, Founder and Principal Consultant at Practicala, discussed how the Internet of Things (IoT) has accelerated our abilit...
Detecting internal user threats in the Big Data eco-system is challenging and cumbersome. Many organizations monitor internal usage of the Big Data eco-system using a set of alerts. This is not a scalable process given the increase in the number of alerts with the accelerating growth in data volume and user base. Organizations are increasingly leveraging machine learning to monitor only those data elements that are sensitive and critical, autonomously establish monitoring policies, and to detect...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Two weeks ago (November 3-5), I attended the Cloud Expo Silicon Valley as a speaker, where I presented on the security and privacy due diligence requirements for cloud solutions. Cloud security is a topical issue for every CIO, CISO, and technology buyer. Decision-makers are always looking for insights on how to mitigate the security risks of implementing and using cloud solutions. Based on the presentation topics covered at the conference, as well as the general discussions heard between sessio...
Recently, REAN Cloud built a digital concierge for a North Carolina hospital that had observed that most patient call button questions were repetitive. In addition, the paper-based process used to measure patient health metrics was laborious, not in real-time and sometimes error-prone. In their session at 21st Cloud Expo, Sean Finnerty, Executive Director, Practice Lead, Health Care & Life Science at REAN Cloud, and Dr. S.P.T. Krishnan, Principal Architect at REAN Cloud, discussed how they built...
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settl...
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards t...
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, examined the regulations and provided insight on how it affects technology, challenges the established rules and will usher in new levels of diligence arou...
Organizations planning enterprise data center consolidation and modernization projects are faced with a challenging, costly reality. Requirements to deploy modern, cloud-native applications simultaneously with traditional client/server applications are almost impossible to achieve with hardware-centric enterprise infrastructure. Compute and network infrastructure are fast moving down a software-defined path, but storage has been a laggard. Until now.