Welcome!

Web 2.0 Authors: Liz McMillan, Carmen Gonzalez, Elizabeth White, Jim Kaskade, Trevor Parsons

News Feed Item

Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 - 2019)

NEW YORK, Aug. 11, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 – 2019)

http://www.reportlinker.com/p02275774/Web-Analytics-Market-by-Solution-Search-Engine-Tracking--Ranking-Heat-Map-Analytics-Marketing-Automation-Behavior-Based-Targeting--by-Services-Professional-Services-Support--Maintenance---Worldwide-Forecasts--Analysis-2014-–-2019.html

The web analytics market analysis consists of various types of solutions and services, applications, deployment types, verticals, and regions. The overall market size is found by adding up the market size of each solution and services such as web engine, indexing and analysis, software query, engine reports and dashboards, professional services and support, maintenance services, and others.

In web analytics, each solution and service is playing an important role in the market. These solutions and services support various applications including social media management, targeting and behavioral analysis, display advertising optimization, multichannel campaign analysis and performance monitoring and other applications.

Most of the enterprises are focusing on marketing effectiveness, reducing causes of attrition of consumers, enhancing customer experience for competitive, and market intelligence. Web analytics helps to gain behavioral insight through various solutions. The web analytics solutions help companies to monitor the customer interaction and trends, which in turn helps them to support their marketing strategies. Hence, the increased focus on web marketing and ads campaigning and increasing e-commerce is one of the major drivers for the web analytics market.

A new innovation, such as real-time web analytics, is higher version of traditional web analytics. Real-time web analytics offers a great help for enterprises by analyzing customer interactions while they happen. It helps in gaining the greatest business assets that's the insight about the customer behavior and empowers the marketers and ad publishers and companies to take the next best action.

The report is expected to help the market leaders/new entrants in this market in the following ways:

1. This report segments the market into solutions and services, covering this market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across the applications, deployment type, organization size, verticals, and regions.2. This report will help them better understand the competitor and gain more insights to better position their business. There is a separate section on competitive landscape that includes competitors' ecosystem and their roles in the market. Besides, there are company profiles of the top 10 players in this market. In this section, market internals are provided that can put them ahead of the competitors.3. The report helps them to understand the overall growth of the market. The report provides information and analysis of key market drivers, restraints, challenges, and opportunities.

1 INTRODUCTION 16

1.1 OBJECTIVES 161.2 REPORT DESCRIPTION 161.3 MARKETS COVERED 171.4 STAKEHOLDERS 191.5 RESEARCH METHODOLOGY 191.5.1 KEY DATA FROM PRIMARY & SECONDARY SOURCES 191.5.2 DATA TRIANGULATION & MARKET FORECASTING 201.6 FORECAST ASSUMPTIONS 21

2 EXECUTIVE SUMMARY 22

2.1 ABSTRACT 222.2 OVERALL MARKET SIZE 23

3 MARKET OVERVIEW 25

3.1 MARKET DEFINITION 263.2 MARKET EVOLUTION 273.3 MARKET SEGMENTATION 283.4 MARKET DYNAMICS 293.4.1 DRIVERS 293.4.1.1 Increasing Shift to Data Driven Businesses 293.4.1.2 Ceaseless Rise in Online Shopping 293.4.1.3 Marketing Automation 293.4.2 RESTRAINTS 303.4.2.1 Data Privacy and Regulations' Compliance 303.4.2.2 Open Source Vendors 303.4.3 OPPORTUNITIES 303.4.3.1 Multi-channel Marketing 303.4.3.2 Increasing Cloud Adoption Trend 313.4.3.3 Need of predictive analytics 313.4.4 IMPACT ANALYSIS OF DROS 323.4.5 VALUE CHAIN 33

4 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY SOLUTION 34

4.1 INTRODUCTION 354.2 SEARCH ENGINE TRACKING & RANKING 384.2.1 OVERVIEW 384.2.2 MARKET SIZE & FORECAST 394.3 HEAT MAP ANALYTICS 404.3.1 OVERVIEW 404.3.2 MARKET SIZE & FORECAST 404.4 MARKETING AUTOMATION 414.4.1 OVERVIEW 414.4.2 MARKET SIZE & FORECAST 424.5 BEHAVIOR-BASED TARGETING 434.5.1 OVERVIEW 434.6 OTHERS 444.6.1 OVERVIEW 444.6.2 MARKET SIZE & FORECAST 44

5 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY SERVICE 46

5.1 INTRODUCTION 475.2 PROFESSIONAL SERVICES 505.2.1 OVERVIEW 505.2.2 MARKET SIZE & FORECAST 505.3 SUPPORT & MAINTENANCE 515.3.1 OVERVIEW 515.3.2 MARKET SIZE & FORECAST 52

6 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY DEPLOYMENT TYPE 53

6.1 INTRODUCTION 546.2 ON-DEMAND 566.2.1 OVERVIEW 566.2.2 MARKET SIZE & FORECAST 566.3 ON-PREMISE 576.3.1 OVERVIEW 576.3.2 MARKET SIZE & FORECAST 57

7 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY APPLICATION 58

7.1 INTRODUCTION 597.2 SOCIAL MEDIA MANAGEMENT 617.2.1 OVERVIEW 617.2.2 MARKET SIZE & FORECAST 627.3 TARGETING & BEHAVIORAL ANALYSIS 627.3.1 OVERVIEW 627.3.2 MARKET SIZE & FORECAST 637.4 DISPLAY ADVERTISING OPTIMIZATION 647.4.1 OVERVIEW 647.4.2 MARKET SIZE & FORECAST 647.5 MULTICHANNEL CAMPAIGN ANALYSIS 657.5.1 OVERVIEW 657.5.2 MARKET SIZE & FORECAST 657.6 PERFORMANCE MONITORING 667.6.1 OVERVIEW 667.6.2 MARKET SIZE & FORECAST 677.7 OTHERS 687.7.1 OVERVIEW 687.7.2 MARKET SIZE & FORECAST 68

8 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY VERTICAL 69

8.1 INTRODUCTION 708.2 RETAIL & CONSUMER GOODS 728.2.1 OVERVIEW 728.2.2 MARKET SIZE & FORECAST 738.3 BFSI 748.3.1 OVERVIEW 748.3.2 MARKET SIZE & FORECAST 758.4 GOVERNMENT 768.4.1 OVERVIEW 768.4.2 MARKET SIZE & FORECAST 778.5 TRAVEL & HOSPITALITY 788.5.1 OVERVIEW 788.5.2 MARKET SIZE & FORECAST 798.6 MEDIA & ENTERTAINMENT 808.6.1 OVERVIEW 808.6.2 MARKET SIZE & FORECAST 818.7 HEALTHCARE & LIFE SCIENCES 828.7.1 OVERVIEW 828.7.2 MARKET SIZE & FORECAST 838.8 TELECOMMUNICATION & IT 848.8.1 OVERVIEW 848.8.2 MARKET SIZE & FORECAST 858.9 OTHERS 878.9.1 OVERVIEW 878.9.2 MARKET SIZE & FORECAST 87

9 WEB ANALYTICS: MARKET SIZE, ANALYSIS & FORECAST BY REGION 89

9.1 INTRODUCTION 909.2 MARKET SIZE & FORECAST 909.2.1 PARFAIT CHART 919.2.2 REGIONAL MARKET LIFECYCLE 929.3 NORTH AMERICA 939.3.1 OVERVIEW 939.3.2 MARKET SIZE & FORECAST 949.4 EUROPE 979.4.1 OVERVIEW 979.4.2 MARKET SIZE & FORECAST 979.5 ASIA-PACIFIC 1009.5.1 OVERVIEW 1009.5.2 MARKET SIZE & FORECAST 1019.6 MIDDLE EAST & AFRICA 1049.6.1 OVERVIEW 1049.6.2 MARKET SIZE & FORECAST 1059.7 LATIN AMERICA 1089.7.1 OVERVIEW 1089.7.2 MARKET SIZE & FORECAST 108

10 COMPETITIVE LANDSCAPE 111

10.1 COMPETITIVE LANDSCAPE 11110.1.1 ECOSYSTEM & ROLES 11110.2 END-USER LANDSCAPE 11210.2.1 MARKET OPPORTUNITY ANALYSIS 11210.2.2 END-USER ANALYSIS 11310.2.2.1 High Adoption by Large Enterprises and SMBs in Retail Sector 11310.2.2.2 Increasing Online Shopping 11310.2.2.3 Demand for Digital Marketing 114

11 COMPANY PROFILES 115 (Overview, Products & Services, Strategies & Insights, Developments and MnM View)*

11.1 ADOBE SYSTEMS 11511.2 AT INTERNET 11811.3 GOOGLE 12111.4 IBM 12411.5 MICROSTRATEGY 12711.6 SAS 13011.7 SPLUNK 13311.8 TABLEAU SOFTWARE 13711.9 TERADATA CORPORATION 14011.10 WEBTRENDS 143*Details on Overview, Products & Services, Strategies & Insights, Developments and MnM View might not be captured in case of unlisted companies.APPENDIX 146- MERGERS AND ACQUISITIONS (M&A) 146- VENTURE CAPITAL TRENDS 153- SOCIAL TRENDS 157

LIST OF TABLES

TABLE 1 WEB ANALYTICS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 23TABLE 2 WEB ANALYTICS MARKET GROWTH, BY REGION, 2015-2019 (Y-O-Y %) 24TABLE 3 WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 35TABLE 4 WEB ANALYTICS MARKET GROWTH, BY SOLUTION, 2015-2019 (Y-O-Y %) 37TABLE 5 WEB ANALYTICS SOLUTIONS MARKET SIZE, BY REGION, 2014-2019($MILLION) 37TABLE 6 SEARCH ENGINE TRACKING & RANKING MARKET SIZE, BY VERTICAL,2014-2019 ($MILLION) 39TABLE 7 HEAT MAP ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 40TABLE 8 MARKETING AUTOMATION MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 42TABLE 9 BEHAVIOR-BASED TARGETING MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 43TABLE 10 OTHER SOLUTIONS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 44TABLE 11 WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 47TABLE 12 WEB ANALYTICS MARKET GROWTH, BY SERVICE, 2015-2019 (Y-O-Y %) 48TABLE 13 WEB ANALYTICS SERVICES MARKET SIZE, BY REGION, 2014-2019($MILLION) 49TABLE 14 PROFESSIONAL SERVICES MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 50TABLE 15 SUPPORT AND MAINTENANCE MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 52TABLE 16 WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 54TABLE 17 WEB ANALYTICS MARKET GROWTH, BY DEPLOYMENT TYPE, 2015-2019 (Y-O-Y %) 55TABLE 18 ON-PREMISE MARKET SIZE, BY TYPE, 2014-2019 ($MILLION) 56TABLE 19 ON-DEMAND MARKET SIZE, BY TYPE, 2014-2019 ($MILLION) 57TABLE 20 WEB ANALYTICS MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 59TABLE 21 WEB ANALYTICS MARKET GROWTH, BY APPLICATION, 2015-2019 (Y-O-Y %) 61TABLE 22 SOCIAL MEDIA MANAGEMENT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 62TABLE 23 TARGETING AND BEHAVIORAL ANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 63TABLE 24 DISPLAY ADVERTISING OPTIMIZATION MARKET SIZE, BY REGION,2014-2019 ($MILLION) 64TABLE 25 MULTICHANNEL CAMPAIGN ANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 65TABLE 26 PERFORMANCE MONITORINGANALYSIS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 67TABLE 27 OTHER APPLICATIONS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 68TABLE 28 WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 70TABLE 29 WEB ANALYTICS MARKET GROWTH, BY VERTICAL, 2015-2019 (Y-O-Y %) 72TABLE 30 RETAIL AND CONSUMER GOODS MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 73TABLE 31 RETAIL AND CONSUMER GOODS MARKET SIZE, BY REGION,2014-2019 ($MILLION) 74TABLE 32 BFSI MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 75TABLE 33 BFSI MARKET SIZE, BY REGION,2014-2019 ($MILLION) 76TABLE 34 GOVERNMENT MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 77TABLE 35 GOVERNMENT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 78TABLE 36 TRAVEL AND HOSPITALITY MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 79TABLE 37 TRAVEL AND HOSPITALITY MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 80TABLE 38 MEDIA AND ENTERTAINMENT MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 81TABLE 39 MEDIA AND ENTERTAINMENT MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 82TABLE 40 HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 83TABLE 41 HEALTHCARE AND LIFE SCIENCES MARKET SIZE, BY REGION,2014-2019 ($MILLION) 84TABLE 42 TELECOMMUNICATION AND IT MARKET SIZE, BY APPLICATION,2014-2019 ($MILLION) 85TABLE 43 TELECOMMUNICATION AND IT MARKET SIZE, BY REGION,2014-2019 ($MILLION) 86TABLE 44 OTHER VERTICALS MARKET SIZE, BY APPLICATION, 2014-2019 ($MILLION) 87TABLE 45 OTHER VERTICALS MARKET SIZE, BY REGION, 2014-2019 ($MILLION) 88TABLE 46 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 94TABLE 47 NORTH AMERICA: WEBANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 95TABLE 48 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY VERTICAL,2014-2019 ($MILLION) 95TABLE 49 NORTH AMERICA: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 96TABLE 50 EUROPE: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 97TABLE 51 EUROPE: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 98TABLE 52 EUROPE: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 99TABLE 53 EUROPE: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 100TABLE 54 APAC: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 101TABLE 55 APAC: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 102TABLE 56 APAC: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 102TABLE 57 APAC: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 103TABLE 58 MEA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 105TABLE 59 MEA: WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 106TABLE 60 MEA: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 106TABLE 61 MEA: WEB ANALYTICS MARKET SIZE, BY DEPLOYMENT TYPE, 2014-2019 ($MILLION) 107TABLE 62 LATIN AMERICA: WEB ANALYTICS MARKET SIZE, BY SOLUTION, 2014-2019 ($MILLION) 108TABLE 63 LATIN AMERICA:WEB ANALYTICS MARKET SIZE, BY SERVICE, 2014-2019 ($MILLION) 109TABLE 64 LATIN AMERICA: WEB ANALYTICS MARKET SIZE, BY VERTICAL, 2014-2019 ($MILLION) 109TABLE 65 LATIN AMERICA: WEB ANALYTIC MARKET SIZE, BY DEPLOYMENT TYPE,2014-2019 ($MILLION) 110

LIST OF FIGURES

FIGURE 1 DATA TRIANGULATION 18FIGURE 2 WEB ANALYTICS MARKET: EVOLUTION 25FIGURE 3 WEB ANALYTICS MARKET: SEGMENTATION 26FIGURE 4 WEB ANALYTICS MARKET: TIME IMPACT ANALYSIS 30FIGURE 5 WEB ANALYTICS MARKET: VALUE CHAIN 31FIGURE 6 WEB ANALYTICS MARKET GROWTH, BY SOLUTION, 2015-2019 (Y-O-Y %) 34FIGURE 7 WEB ANALYTICS MARKET GROWTH, BY SERVICE, 2015-2019 (Y-O-Y %) 46FIGURE 8 WEB ANALYTICS MARKET GROWTH, BY DEPLOYMENT TYPE, 2015-2019 (Y-O-Y %) 53FIGURE 9 WEB ANALYTICS MARKET GROWTH, BY APPLICATION, 2015-2019 (Y-O-Y %) 58FIGURE 10 WEB ANALYTICS MARKET GROWTH, BY VERTICAL, 2015-2019 (Y-O-Y %) 69FIGURE 11 WEB ANALYTICS MARKET GROWTH, BY REGION, 2015-2019 (Y-O-Y %) 88FIGURE 12 REGION-WISE WEB ANALYTICS MARKET SIZE, 2014-2019 89FIGURE 13 WEB ANALYTICS: REGIONAL MARKET LIFECYCLE 90FIGURE 14 WEB ANALYTICS MARKET: ECOSYSTEM 109FIGURE 15 WEB ANALYTICS MARKET: OPPORTUNITY PLOT 110FIGURE 16 WEB ANALYTICS MARKET-SOCIAL TRENDS 155

To order this report: Web Analytics Market by Solution (Search Engine Tracking & Ranking, Heat Map Analytics, Marketing Automation, Behavior Based Targeting) & by Services (Professional Services, Support & Maintenance) - Worldwide Forecasts & Analysis (2014 – 2019) http://www.reportlinker.com/p02275774/Web-Analytics-Market-by-Solution-Search-Engine-Tracking--Ranking-Heat-Map-Analytics-Marketing-Automation-Behavior-Based-Targeting--by-Services-Professional-Services-Support--Maintenance---Worldwide-Forecasts--Analysis-2014-–-2019.html

Contact Clare: [email protected]: (339)-368-6001Intl: +1 339-368-6001

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
The 3rd International Internet of @ThingsExpo, co-located with the 16th International Cloud Expo - to be held June 9-11, 2015, at the Javits Center in New York City, NY - announces that its Call for Papers is now open. The Internet of Things (IoT) is the biggest idea since the creation of the Worldwide Web more than 20 years ago.
The Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce the value of the network in helping organizations to maximize their company’s cloud experience.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have s...
Disruptive macro trends in technology are impacting and dramatically changing the "art of the possible" relative to supply chain management practices through the innovative use of IoT, cloud, machine learning and Big Data to enable connected ecosystems of engagement. Enterprise informatics can now move beyond point solutions that merely monitor the past and implement integrated enterprise fabrics that enable end-to-end supply chain visibility to improve customer service delivery and optimize supplier management. Learn about enterprise architecture strategies for designing connected systems tha...
IoT is still a vague buzzword for many people. In his session at Internet of @ThingsExpo, Mike Kavis, Vice President & Principal Cloud Architect at Cloud Technology Partners, will discuss the business value of IoT that goes far beyond the general public's perception that IoT is all about wearables and home consumer services. The presentation will also discuss how IoT is perceived by investors and how venture capitalist access this space. Other topics to discuss are barriers to success, what is new, what is old, and what the future may hold.
Whether you're a startup or a 100 year old enterprise, the Internet of Things offers a variety of new capabilities for your business. IoT style solutions can help you get closer your customers, launch new product lines and take over an industry. Some companies are dipping their toes in, but many have already taken the plunge, all while dramatic new capabilities continue to emerge. In his session at Internet of @ThingsExpo, Reid Carlberg, Senior Director, Developer Evangelism at salesforce.com, to discuss real-world use cases, patterns and opportunities you can harness today.
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
Noted IoT expert and researcher Joseph di Paolantonio (pictured below) has joined the @ThingsExpo faculty. Joseph, who describes himself as an “Independent Thinker” from DataArchon, will speak on the topic of “Smart Grids & Managing Big Utilities.” Over his career, Joseph di Paolantonio has worked in the energy, renewables, aerospace, telecommunications, and information technology industries. His expertise is in data analysis, system engineering, Bayesian statistics, data warehouses, business intelligence, data mining, predictive methods, and very large databases (VLDB). Prior to DataArcho...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how thes...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
We are reaching the end of the beginning with WebRTC and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) ir...
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn rea...
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder ...
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges.
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. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other mach...
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice s...
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehe...
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example...