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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.

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

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Operational Hadoop and the Lambda Architecture for Streaming Data Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze rea...
SYS-CON Events announced today that Vitria Technology, Inc. will exhibit at SYS-CON’s @ThingsExpo, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. Vitria will showcase the company’s new IoT Analytics Platform through live demonstrations at booth #330. Vitria’s IoT Analytics Platform, fully integrated and powered by an operational intelligence engine, enables customers to rapidly build and operationalize advanced analytics to deliver timely business outcomes for use cases across the industrial, enterprise, and consumer segments.
When it comes to the Internet of Things, hooking up will get you only so far. If you want customers to commit, you need to go beyond simply connecting products. You need to use the devices themselves to transform how you engage with every customer and how you manage the entire product lifecycle. In his session at @ThingsExpo, Sean Lorenz, Technical Product Manager for Xively at LogMeIn, will show how “product relationship management” can help you leverage your connected devices and the data they generate about customer usage and product performance to deliver extremely compelling and reliabl...
SYS-CON Events announced today that SoftLayer, an IBM company, has been named “Gold Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015 at the Javits Center in New York City, NY, and the 17th International Cloud Expo®, which will take place November 3–5, 2015 at the Santa Clara Convention Center in Santa Clara, CA. SoftLayer operates a global cloud infrastructure platform built for Internet scale. With a global footprint of data centers and network points of presence, SoftLayer provides infrastructure as a service to leading-edge customers ranging from ...
The explosion of connected devices / sensors is creating an ever-expanding set of new and valuable data. In parallel the emerging capability of Big Data technologies to store, access, analyze, and react to this data is producing changes in business models under the umbrella of the Internet of Things (IoT). In particular within the Insurance industry, IoT appears positioned to enable deep changes by altering relationships between insurers, distributors, and the insured. In his session at @ThingsExpo, Michael Sick, a Senior Manager and Big Data Architect within Ernst and Young's Financial Servi...
SYS-CON Events announced today that Open Data Centers (ODC), a carrier-neutral colocation provider, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place June 9-11, 2015, at the Javits Center in New York City, NY. Open Data Centers is a carrier-neutral data center operator in New Jersey and New York City offering alternative connectivity options for carriers, service providers and enterprise customers.
The IoT market is projected to be $1.9 trillion tidal wave that’s bigger than the combined market for smartphones, tablets and PCs. While IoT is widely discussed, what not being talked about are the monetization opportunities that are created from ubiquitous connectivity and the ensuing avalanche of data. While we cannot foresee every service that the IoT will enable, we should future-proof operations by preparing to monetize them with extremely agile systems.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. Learn about IoT, Big Data and deployments processing massive data volumes from wearables, utilities and other machines.