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Posts tagged ‘Cloud Computing’

55% of Enterprises Predict Cloud Computing Will Enable New Business Models In Three Years

  • NYC Skyline Louis Columbus69% of enterprises expect to make moderate-to-heavy cloud investments over the next three years as they migrate core business functions to the cloud.
  • 44% of enterprises are relying on cloud computing to launch new business models today, predicting this will increase to 55% in three years.
  • 32% are using cloud computing to streamline their supply chains today. Senior executives predict this figure will increase to 56% in three years, a 24% increase.
  • 59% say they use cloud-based applications and platforms to better manage and analyze data today, reflecting the increasing importance of analytics and big data enterprise-wide.

These and other insights are from a recent Oxford Economics and SAP study of cloud computing adoption, The Cloud Grows Up. You can find the study here (no opt-in). In late 2014, Oxford Economics and SAP collaborated on a survey of 200 senior business and IT executives globally regarding the adoption and use of cloud technology. Oxford Economics’ analysts compared the latest survey with one completed in 2012 looking for leading indicators of cloud adoption in enterprises. They found many C- and VP-level executives are taking a more pragmatic, realistic view of what cloud technologies can contribute. Enterprises are moving beyond the hype of cloud computing, putting in the hard work of launching new business models while driving top-line revenue growth.

Oxford Economics has made two interactive infographics available from the study here. The first details cloud adoption, and the second, on how enterprises see cloud computing changing their business models over the next three years.  As cloud platforms and applications become a scalable, secure and for the most part reliable, once-elusive enterprise goals and new business models become attainable.

Key take-aways from the study include the following:

  • Top–line growth (58%), collaboration among employees (58%), and supply chain (56%) are the three areas enterprises expect cloud computing to impact most in three years. The greatest gains will be in the areas of supply chain (a 24% jump), collaboration among employees (20%) and increased agility and responsiveness to customers (17%). The following graphic compares where enterprises are seeing cloud computing’s impact today and a prediction of each areas’ impact in three years.

Figure 2

  • Developing new products & services (61%), new lines of business (51%) and entering new markets (40%) are three key areas cloud computing is transforming enterprises.  With a 35% increase, developing new products and services is the most dominant strategy enterprises are relying on to grow their businesses. See the comparison below for further details.       

developed new services using cloud computing 2

  • 58% of enterprises predict their use of cloud computing will increase top-line revenue growth in three years. 67% see the cloud changing skill sets and transforming the role of HR. The following graphic illustrates the first of two interactive infographics Oxford Economics and SAP are providing with the report. You can access the infographic here.

clouds enduring promise

  • 74% of enterprises say innovation and R&D is somewhat or mostly cloud-based. 61% say they will have developed new products and services in three years as a result of adopting cloud technologies.  The following graphic illustrates the second of two interactive infographics Oxford Economics and SAP are providing with the report. You can access the infographic here.

infographic the cloud grows up

  • Enterprise cloud security strategies are maturing rapidly. From 2012 to 2014, strategies for ensuring the security of API and interfaces increased 24%, from 20% to 44%. Additional concerns that increased include virus attacks (up 19%), and identity theft (up 16%).  The following figure compares the top concerns enterprises have in the area of cloud security.

cloud security

  • 31% of respondents say the cloud computing has had a transformative impact on their business.  48%, nearly half, state that cloud computing has had a moderate impact on business performance. The majority believe cloud computing will have a significant impact on top-line revenue growth in three years.

Figure 31

  • 67% of enterprises say that marketing, purchasing, and supply chain are somewhat and mostly cloud-based as of today. Cloud-based adoption has reached an inflection point in enterprises, with functional areas having the largest percentage of workloads running on cloud-based apps. Enterprise senior executives see the potential to improve innovation, R&D, and time-to-market via greater collaboration using cloud technologies.

 

Five Ways Cloud Service Providers Are Making Manufacturers More Competitive

  • manufacturing-execution-systemsEnterprises are only realizing 35% of the total potential value of their cloud deployments according to a recent Bain & Company study.
  • Companies that moved development to IaaS and PaaS clouds from Amazon Web Services (AWS) reduced downtime by 72% and improved application availability by 3.9 hours per user per year.

These and other key take-aways are from the recent Bain & Company study, Tapping Cloud’s Full Potential. The full report PDF is available for download here (free, no opt-in). The following graphic from the report illustrates the currently realized value of cloud deployments in enterprises today according to Bain & Company.

Capturing only one-third of the value of their workloads

The researchers found several critical drivers of cloud value with one of the most important being the strengthening and clarifying of a product and service focus. The following graphic illustrates the critical drivers of cloud value.

getting the most value

Cloud Service Providers Give Manufacturers The Ability To Stay Competitive

Cloud-first strategies designed to accelerate and strengthen shifts in emerging business models is paying off according to Bain’s research results.

Manufacturers choosing to pursue a cloud-first strategy are focusing on evolving their business models, processes, systems and performance quickly to stay in step with customers’ needs. For many manufacturers, their customers’ pace is faster than internal IT organizations can anticipate and react to.  CSPs are helping to close that gap.

Here are five ways CSPs are making manufacturers more competitive:

  • Bringing industry expertise to the shop floor level. The best CSPs serving manufacturers today have management teams that have decades of combined manufacturing experience in specific industries. The CEO of a specialty tools manufacturer remarked that his company’s cloud strategy was more focused on accelerating plant floor performance first.  Working with a CSP that had expertise in their industry, this manufacturer was able to gain greater supply chain visibility and improve forecast accuracy, all with cloud-based apps.
  • Solving legacy and 3rd party system integration problems so that cloud-based ERP, CRM, supply chain management (SCM) systems can scale quickly. When a rust-belt based manufacturer of heating, ventilation and air conditioning (HVAC) systems had the opportunity to grow their business by expanding into build-to-order customized products, their CSP partner made it possible to integrate an entirely new product configurator and cloud-based ERP system module to manage quote-to-cash. Today, 30% of corporate-wide profits are from build-to-order selling strategies.
  • Knowledge-sharing supplier networks are becoming more attainable for manufacturers thanks to cloud technologies and CSPs. All manufacturers have strategic plans that include greater integration of their supplier networks, with many seeking to create knowledge-sharing networks. One of the best studies of how to create a knowledge-sharing network is from Dr. Jeffrey Dyer and Dr. Kentaro Nobeoka based on their intensive work with Toyota. Their study, Creating And Managing A High Performance Knowledge-Sharing Network: The Toyota Case is a great read. The following graphic from the study illustrates the evolution of a knowledge-sharing network. Manufacturers are relying on cloud platforms and CSPs to enable shifts in network structures and nurture change management to create self-sustaining systems.

Evolution of network

  • Two-tier ERP adoption in manufacturing is growing as CSPs master cloud ERP systems. CSPs are moving beyond providing basic services, specializing in cloud ERP, CRM, SCM, pricing, services and legacy system integration to keep pace with manufacturers’ demands. In one high tech manufacturer, their CSP partner orchestrated the procuring and launch of their cloud-based two-tier ERP system integrated to an SAP instance in their headquarters. Today they operate production centers in Asia, North America and Australia, all coordinated through the main SAP instance in the U.S. headquarters.
  • Making Service Level Agreements (SLAs) more relevant to manufacturing business models. Instead of just getting SLAs for uptime, security and system stability, manufacturers are getting advanced manufacturing intelligence dashboards that provide visibility to the plant or production center level.

Bottom Line:  Manufacturers are increasingly relying on CSPs’ cloud, industry and integration expertise to support the transition many are making to new business models and get greater than 35% of the value from their cloud investments.

Additional resources on Cloud ERP systems:

The Top 100 Cloud-based Enterprise Software Startups Of 2015

Investments in emerging enterprise software companies increased 53% from Q3 to Q4, 2014  according to MoneyTree Report, a collaborative research initiative between PricewaterhouseCoopers and the National Venture Capital Association.  A graphic from the latest available data shows how software investments were 39% of all investments in Q4, 2014.

To determine which enterprise software startups have gained the greatest amount of funding since they were founded, Mattermark was used to rank order all enterprise start-ups.  Mattermark uses a combination of artificial intelligence and data quality analysis to provide insights into over 1M companies, over 470K with employee data, and over 100,000 funding events.

invest by industry

Mattermark uses their Growth Score is the default ranking for all companies tracked in their service.  This score is not meant to provide guidance on which startup to invest in.  Rather it’s a measure of momentum across the metrics and KPIs that Mattermark measures.

Using their free trial, I completed the following analysis of cloud-based enterprise software startups. I’m not a consultant to Mattermark and never have been. As many Forbes readers find software investment data fascinating, I contacted Mattermark and asked for a free trial, which they graciously provided. You can download the list in Microsoft Excel format here. 

matrix

 

2015 Roundup Of Cloud Computing Forecasts And Market Estimates

AA046808Global SaaS software revenues are forecasted to reach $106B in 2016, increasing 21% over projected 2015 spending levels.  A Goldman Sachs study published earlier this year projects that spending on cloud computing infrastructure and platforms will grow at a 30% CAGR from 2013 through 2018 compared with 5% growth for the overall enterprise IT.

Centaur Partners and other firms mentioned in this roundup are seeing more enterprise-size deals for cloud computing infrastructure and applications. While each of these consultancies and research firms have varying forecasts for the next few years, all agree that cloud computing adoption is accelerating in enterprises on a global scale.

Key take-aways from the roundup are provided below:

  • By 2018, 59% of the total cloud workloads will be Software-as-a-Service (SaaS) workloads, up from 41% in 2013.  Cisco is predicting that by 2018, 28% of the total cloud workloads will be Infrastructure-as-a-Service (IaaS) workloads down from 44% in 2013. 13% of the total cloud workloads will be Platform-as-a-Service (PaaS) workloads in 2018, down from 15% in 2013.  The following graphic provides a comparative analysis of IaaS, PaaS and SaaS forecasts from 2013 to 2018. Source:  Cisco Global Cloud Index: Forecast and Methodology, 2013–2018. (PDF, free, no opt-in).

Image Cisco SaaS IaaS PaasS Results

  • Centaur Partners’ analysis of SaaS & cloud-based business application services revenue forecasts the market growing from $13.5B in 2011 to $32.8B in 2016, attaining a 19.5% CAGR. Centaur provides a useful overview of current market conditions including M&A activity in their latest market overview published this month, Introduction to Centaur Partners: SaaS Market Overview, (PDF, free, no opt-in).

centaur partners forecast

Top Five Tech Spending Increases

  • Global SaaS software revenues are forecasted to reach $106B in 2016, increasing 21% over projected 2015 spending levels.  Spending on integration, storage management, and database management systems are projected to experience the greatest growth in 2015. These and other key insights are from Forrester’s SaaS software subscription revenue by category show below.  Source: Enterprise software spend to reach $620 billion in 2015: Forrester.

Global SaaS Forecast Forrester

  • $78.43B in SaaS revenue will be generated in 2015, increasing to $132.57 in 2020, attaining a compound annual growth rate (CAGR) of 9.14%.  The following graphic and table provides an overview of Forrester’s Global Public Cloud Computing market size analysis and forecast for the years 2011 to 2020. Source: Institut Sage. 

Global Forecast Public Cloud Forrester

Goldman Cloud TAM

Goldman Cloud Disrupting Traditional IT

SMAC Areas

  • IDC predicts that by 2016, there will be an 11% shift of IT budget away from traditional in-house IT delivery, toward various versions of cloud computing as a new delivery model.  By 2017, 35% of new applications will use cloud-enabled, continuous delivery and enabled by faster DevOps life cycles to streamline rollout of new features and business innovation. Source: 2015-2017 Forecast: Cloud Computing to Skyrocket, Rule IT Delivery.
  • By 2018, IDC forecasts that public cloud spending will more than double to $127.5 billion. This forecast is broken down as follows: $82.7 billion in SaaS spending, $24.6 billion for IaaS and $20.3 billion in PaaS expenditures.  Source: Forecasts Call For Cloud Burst Through 2018.
  • By 2016 over 80% of enterprises globally will using IaaS, with investments in private cloud computing showing the greater growth. Ovum forecasts that by 2016, 75% of EMEA-based enterprises will be using IaaS.  These and other insights are from the presentation, The Role of Cloud in IT Modernisation: The DevOps Challenge (free PDF, no opt in). The graphic below provides an analysis of cloud computing adoption in EMEA and globally.

Ovum Cloud Adoption Forecast

SaaS for SCM

Enterprise cloud revenues

  • By 2018, more than 60% of enterprises will have at least half of their infrastructure on cloud-based platforms.  These and other are insights are from the keynote Cloud Business Summit presentation Digital Business, Rethinking Fundamentals by Bill McNee, Founder and CEO, Saugatuck Technology.  Source: Digital Business, Rethinking Fundamentals.

new platform

Ten Ways Big Data Is Revolutionizing Manufacturing

quality1McKinsey & Company recently published How Big Data Can Improve Manufacturing which provides insightful analysis of how big data and advanced analytics can streamline biopharmaceutical, chemical and discrete manufacturing.

The article highlights how manufacturers in process-based industries are using advanced analytics to increase yields and reduce costs. Manufacturers have an abundance of operational and shop floor data that is being used for tracking today.  The McKinsey article shows through several examples how big data and advanced analytics applications and platforms can deliver operational insights as well.

The following graphic from the article illustrates how big data and advanced analytics are streamlining manufacturing value chains by finding the core determinants of process performance, and then taking action to continually improve them:

Advanced Analytics Big Data in Manufacturing

Big Data’s Impact on Manufacturing Is Growing

In addition to the examples provided in the McKinsey article, there are ten ways big data is revolutionizing manufacturing:

  • Increasing the accuracy, quality and yield of biopharmaceutical production.  It is common in biopharmaceutical production flows to monitor more than 200 variables to ensure the purity of the ingredients as well as the substances being made stay in compliance. One of the many factors that makes biopharmaceutical production so challenging is that yields can vary from 50 to 100% for no immediately discernible reason. Using advanced analytics, a manufacturer was able to track the nine parameters that most explained yield variation. Based on this insight they were able to increase the vaccine’s yield by 50%, worth between $5M to $10M in yearly savings for the single vaccine alone.
  • Accelerating the integration of IT, manufacturing and operational systems making the vision of Industrie 4.0 a reality. Industrie 4.0 is a German government initiative that promotes automation of the manufacturing industry with the goal of developing Smart Factories. Big data is already being used for optimizing production schedules based on supplier, customer, machine availability and cost constraints. Manufacturing value chains in highly regulated industries that rely on German suppliers and manufacturers are making rapid strides with Industrie 4.0 today.  As this initiative serves as a catalyst to galvanize diverse multifunctional departments together, big data and advanced analytics will become critical to its success.
  • Better forecasts of product demand and production (46%), understanding plant performance across multiple metrics (45%) and providing service and support to customers faster (39%) are the top three areas big data can improve manufacturing performance.   These findings are from a recent survey LNS Research and MESA International completed to see where big data is delivering the greatest manufacturing performance improvements today. You can find the original blog post here.

LNS Graphic

  • Integrating advanced analytics across the Six Sigma DMAIC (Define, Measure, Analyze, Improve and Control) framework to fuel continuous improvement.  Getting greater insights into how each phase of a DMAIC-driven improvement program is working, and how the efforts made impact all other areas of manufacturing performance is nascent today. This area shows great potential to make production workflows more customer-driven than ever before.
  • Greater visibility into supplier quality levels, and greater accuracy in predicting supplier performance over time.  Using big data and advanced analytics, manufacturers are able to view product quality and delivery accuracy in real-time, making trade-offs on which suppliers receive the most time-sensitive orders.  Managing to quality metrics becomes the priority over measuring delivery schedule performance alone.
  • Measuring compliance and traceability to the machine level becomes possible. Using sensors on all machinery in a production center provides operations managers with immediate visibility into how each is operating. Having advanced analytics can also show quality, performance and training variances by each machine and its operators.  This is invaluable in streamlining workflows in a production center, and is becoming increasingly commonplace.
  • Selling only the most profitable customized or build-to-order configurations of products that impact production the least.  For many complex manufacturers, customized or build-to-order products deliver higher-than-average gross margins yet also costs exponentially more if production processes aren’t well planned.  Using advanced analytics, manufacturers are discovering which of the myriad of build-to-order configurations they can sell with the most minimal impact to existing production schedules to the machine scheduling, staffing and shop floor level.
  • Breaking quality management and compliance systems out of their silos and making them a corporate priority.  It’s time for more manufacturers to take a more strategic view of quality and quit being satisfied with standalone, siloed quality management and compliance systems.  The McKinsey article and articles listed at the end of this post provide many examples of how big data and analytics are providing insights into which parameters matter most to quality management and compliance. The majority of these parameters are corporate-wide, not just limited to quality management or compliance departments alone.
  • Quantify how daily production impacts financial performance with visibility to the machine level. Big data and advanced analytics are delivering the missing link that can unify daily production activity to the financial performance of a manufacturer.  Being able to know to the machine level if the factory floor is running efficiently, production planners and senior management know how best to scale operations.  By unifying daily production to financial metrics, manufacturers have a greater chance of profitably scaling their operations.
  • Service becomes strategic and a contributor to customers’ goals by monitoring products and proactively providing preventative maintenance recommendations.  Manufacturers are starting to look at the more complex products they produce as needing an operating system to manage the sensors onboard. These sensors report back activity and can send alerts for preventative maintenance. Big data and analytics will make the level of recommendations contextual for the first time so customers can get greater value.  General Electric is doing this today with its jet engines and drilling platforms for example.

Additional sources of information on Big Data in Manufacturing:

 

84% Of Enterprises See Big Data Analytics Changing Their Industries’ Competitive Landscapes In The Next Year

NYC Skyline87% of enterprises believe Big Data analytics will redefine the competitive landscape of their industries within the next three years. 89% believe that companies that do not adopt a Big Data analytics strategy in the next year risk losing market share and momentum.

These and other key findings are from a Accenture and General Electric study published this month on how the combination of Big Data analytics and the Internet of Things (IoT) are redefining the competitive landscape of entire industries. Accenture and GE define the Industrial Internet as the use of sensor, software, machine-to-machine learning and other technologies to gather and analyze data from physical objects or other large data streams, and then use those analyses to manage operations and in some cases to offer new, valued-added services.

Big Data Analytics Now Seen As Essential For Competitive Growth

The Industrial Internet is projected to be worth $500B in worldwide spending by 2020, taking into account hardware, software and services sales according to Wikibon and previously published research from General Electric. This finding and others can be found on the home page of the Accenture and GE study here: How the Industrial Internet is Changing the Competitive Landscape of Industries.

The study also shows that many enterprises are investing the majority of their time in analysis (36%) and just 13% are using Big Data analytics to predict outcomes, and only 16% using their analytics applications to optimize processes and strategies. Moving beyond analysis to predictive analytics and optimization is the upside potential the majority of the C-level respondents see as essential to staying competitive in their industries in the future.

A summary of results and the methodology used are downloadable in PDF form (free, no opt in) from this link: Industrial Internet Insights Report For 2015.

Key take-aways from the study include the following:

  • 73% of companies are already investing more than 20% of their overall technology budget on Big Data analytics, and just over two in ten are investing more than 30%. 76% of executives expect spending levels to increase. The following graphic illustrates these results:

Figure 1 big data investments

  • Big Data analytics has quickly become the highest priority for aviation (61%), wind (45%) and manufacturing (42%) companies.  The following graphic provides insights into the relative level of importance of Big Data analytics relative to other priorities in the enterprises interviewed in the study:

Figure 2 industry overview

  • 74% of enterprises say that their main competitors are already using Big Data analytics to successfully differentiate their competitive strengths with clients, the media, and investors. 93% of enterprises are seeing new competitors in their market using Big Data analytics as a key differentiation strategy.  The single greatest risk enterprises see from not implementing a Big Data strategy is that competitors will gain market share at their expense.  Please see the following graphic for a comparison of the risks of not implementing Big Data strategy.

Figure 3 Unable to Implement

  • 65% of enterprises are focused on monitoring assets to identify operating issues for more proactive maintenance. 58% report having capabilities such as connecting equipment to collect operating data and analyzing the data to produce insights. The following graphic provides an overview of Big Data monitoring survey results:

Figure 4 big data monitoring

  • Increasing profitability (60%), gaining a competitive advantage (57%) and improving environmental safety and emissions compliance (55%) are the three highest industry priorities according to the survey. The following table provides an analysis of the top business priorities by industry for the next three years with the shaded areas indicating the highest-ranked priorities by industry:

Figure 5 industry priorities

  • The top three challenges enterprises face in implementing Big Data initiatives include the following: system barriers between departments prevent collection and correlation of data for maximum impact (36%); security concerns are impacting enterprises’ ability to implement a wide-scale Big Data initiative (35%); and  consolidation of disparate data and being able to use the resulting data store (29%), third. The following graphic provides an overview of the top three challenges organizations face in implementing Big Data initiatives:

Figure 6 challenges for big data analytics

 

The Top 100 Enterprise Analytics Startups Of 2014

public-cloud-computing-forecast-2011-2016With the potential of removing legacy IT silos and freeing up valuable data to gain greater insights into their operations, enterprises continue to invest heavily in analytics.

Providing powerful analytics tools to business analysts who can get to work immediately on complex challenges instead of having to wait for ITs’ often over-committed resources is also driving analytics market growth. The better a business unit or division gets at understanding their own business, the faster they change their future.

Analytics Are Streamlining Industry Value Chains

Across every area of an enterprise, from supply chains, quality, manufacturing, marketing, services and pricing, analytics are making an impact daily.  IDC forecast that the advanced and predictive analytics software market will grow from $2.2B in 2013 to $3.4B in 2018, attaining a 9.9% compound annual growth rate (CAGR).  Wikibon’s excellent analysis of the Big Data market projects a $28.5B market in 2014, growing to $50.1B in 2015. For additional forecasts please see my post Roundup Of Analytics, Big Data & Business Intelligence Forecasts And Market Estimates, 2014.

Admit It: Analytics Startups Are the Sexiest Of All

The field of analytics is proliferating with entirely new approaches to solve very challenging, difficult problems, removing the barriers that held business analysts and the divisions they work for from accomplishing more.

That’s what makes analytics startups the sexiest of all. With the insights these companies are capable of delivering you can completely change your approach to marketing, selling, service, supply chains, pricing, service and over time reach an entirely new level of performance. There are many excellent startups in this arena and I’ve been tracking many of them out of personal interest for years.

Tracking Analytics Startups

Having seen just how much pain there is in enterprises trying to get the data they need to better manage their business units, divisions and departments, I’ve tracked many of the analytics startups mentioned in the list below.  Using manually-based methods to track their funding rounds and momentum in the market proved incomplete.

To gain a greater insight into analytics startups I signed up for a free first month trial of Mattermark (opt in).  Mattermark uses a combination of artificial intelligence and data quality analysis to provide insights into over 500,000 companies, over 125,000 with employee data, and over 90,000 funding events.  It’s a fascinating company that has created many new metrics for tracking momentum of startups on specific metrics and key performance indicators (KPIs) including their own Mattermark score.  This score is not meant to provide guidance on which startup to invest in.  Rather it’s a measure of momentum across the metrics and KPIs that Mattermark measures.   Their service is easy to use, powerful in the insight it delivers, and produced the following list of 100 enterprise analytics startups, ranked by total funding in the table below.  You can download the table here in Microsoft Excel format as well.

Top 100 Enterprise Analytics Startups Infographic

 

Roundup Of Cloud Computing Online Courses

careeer startAmazon Web Services, Coursera, Google, MIT Courseware and Microsoft are accelerating the depth and variety of cloud computing courses, courseware and learning materials they are freely making available online.

Over the last six months since the last Roundup Of Free Cloud Computing Online Courses, Amazon Web Services has added an additional series of free instructional videos, self-paced labs and selected free courses in the seven areas their AWS Training programs focus on. Microsoft’s Virtual Academy has grown to include more courses, training material and entire section of free downloadable books from Microsoft Press.  Google’s continual additions to the Developer Academy include online courses to learn more about Google AppEngine, Python App Engine and Google Cloud SQL.

Coursera and the University of Maryland, University of New Mexico and Vanderbilt University are all offering free courses on Android, mobile and web application development.  MIT Courseware continues to add useful courses across the broad spectrum of subjects they cover. The dominant theme of all courses is a new focus on creating and launching a new cloud computing application during the course.

Update on Cloud Computing Online Courses – Full Index Available For Download

One of the best indicators of how serious a software company is about their developer evangelism strategy is how much they invest in free training, easily accessible knowledge, and work to break down learning barriers.  Amazon Web Services, Google and Microsoft are each accelerating these areas quickly.  Each are choosing to freely provide valuable training videos, books and content in the hope of attracting and educating more developers.

In addition to these extensive evangelism efforts, there are several excellent courses and educational programs available entirely online at various price points.  You can find entire roundup of cloud computing online courses and programs here (in PDF) and also in Microsoft Word.

The following table compares the free cloud computing online courses.  Please click on the graphic to expand for easier reading.

Free cloud computing courses July

Key Take-Aways:

  • DePaul University College of Computing and Digital Media is offering a Cloud Computing Technologies Program where students will build their own cloud applications.  Using Amazon Web Services, IBM, Microsoft and Salesforce cloud platforms, students will learn how to create and manage cloud-based applications.  The eleven-week in-depth program in the principles, methods, and technologies of Cloud Computing. The program provides a broad understanding of the different leading Cloud Computing technologies.
  • Stanford University is offering CS309A – Cloud Computing one of the most sought-after online courses in this field, from September 23rd to December 16th, 2014.  This class includes discussions with cloud computing industry leaders and CEOs who share their vision of the future of software-powered businesses.  Previous guest speakers include Hamish Brewer, CEO, JDA Software, Godfrey Sulliva, CEO, Splunk, Human Shah, CEO, RMS, Rob Bearden, CEO, Hortonworks, Bill Ruh, VP & Corporate Officer, GE Global Software and Aaron Levie, CEO, Box.   The course is taught by Timothy Chou, a widely recognized pioneer in cloud computing.  He has been teaching introductory computer architecture at Stanford for 15 years.  He has an extensive background in cloud computing and is a high energy, engaging speaker.   You can find his LinkedIn profile here.

 

Software Firms Now 42% Of Venture Capital Invested In 2014

Cloud Computing SaaS Forecasts Just over $4B was invested in software deals by venture capitalists (VCs) during Q1, 2014, four times as much as biotechnology.

Software deals netted out 42% of all dollars invested in the first quarter of 2014, with biotechnology receiving 11%.  VCs invested $816M in IT Services or 9% of all dollars, making this the third largest investment category.  Interest in IT Services continues to accelerate, with dollars invested in this category increasing 33% compared to the prior quarter.

These findings are from the latest edition of The MoneyTree Report, a quarterly study of venture capital investment in the United States produced by PricewaterhouseCoopers and the National Venture Capital Association (NVCA) using Thomson Reuters data.  You can find the full data sets of the study here in Microsoft Excel format.  The MoneyTree Report Q4 2013/ Full-year 2013 is also available in PDF form here and there is no opt-in to download it.

Take-Aways From The Study

  • A total of $9.5B in 951 deals was invested in the first quarter of this year, up 12% in dollars and down 14% in the number of deals compared to the 4th quarter of 2013.  In the previous quarter, a total of $8.4B was invested in 1,112 deals.
  • In 2013, $11B (37%) of all venture investments were in software, $4.6B (16%) in biotechnology and $2.96B (10%) were in Media and Entertainment.  The following graphic shows the distribution of amounts invested by industry in 2013.  Please click on the graphic to expand for easier reading.

Distribution of amount invested by industry 2013

  • In the first quarter of 2014, software companies also received three times the number of deals of the next closest industry category, Media & Entertainment.  46% or 126 software deals were completed in Q1, compared to 40 in Media & Entertainment. Biotechnology companies were third with 8% or 22 deals.  The following graphic provides a comparison of deals by industry for Q1, 2014.  Please click on the graphic to expand it for easier reading.

distribution of venture capital deals Q1 2014

  • Kleiner Perkins Caufield & Byers, First Round Capital, New Enterprise Associates, Inc. and Andreessen Horowitz LLC completed the most venture capital deals in 2013, as the graphic below shows.  Please click on the graphic to expand for easier reading.

distribution of deals by vc firm in 2013

  • Software’s dominance in Q1, 2014 relative to other industries is evident in the following graphic, showing 42% of dollars invested followed by biotechnology (11%) and IT Services (9%).  The study data shows nine of the 17 industries are shrinking it terms of venture investments.  Telecommunications is down 68%, Networking and Equipment down 47% and semiconductors, down 17%.  Please click on the graphic to expand it for easier reading.

distribution of amounts invested by industry Q1 2014

  • Overall first-time financing decreased 25% to $1.2B in Q1, with a corresponding 24% drop in the number of companies to 271.
  • 48% of dollars invested during Q1 into companies receiving venture capital for the first time are in the software industry.  46% of the deals to 126 companies who captured $571M in Q1 lead to this industry dominating first sequencing investments.
  • Top regions where startups received funding in Q1 include Silicon Valley (50% of all VC funding), New England (11%) and the New York Metro Area (10%).  The Los Angeles/Orange County area was fourth with 5% of all venture funding in Q1, 2014.

45% of Global Enterprises Are Running Production-Level Cloud Apps Today

cover graphicMicrosoft’s latest study shows enterprises’ pace of cloud computing adoption continues to accelerate.  Nearly half of the respondents (45%) report they have cloud-based applications running in production environments.  58% report that they selectively target new applications and projects for cloud computing.

Microsoft commissioned 451 Research to complete one of the most comprehensive global surveys to date of hosting and cloud computing, titled Hosting and Cloud Go Mainstream releasing the results earlier this month. The 74 page slide deck of results provides a wealth of insights into the current and future state of hosting and cloud computing.  451 Research constructed the methodology to include interviews with 2,000 companies and organizations of all sizes from 11 countries, with more than a third of respondents coming from the United States.  Microsoft and 451 Research provided the slides showing the result of screener questions, which provides a useful context for analyzing the survey results.

Here are the key take-aways from the study:

  • 45% of enterprises globally are running production-level cloud computing applications today.  North America and Asia have the greatest percentage of enterprises reporting broad implementation of production cloud-based applications (17% each).  North America has the greatest percentage of enterprises in the discovery and evaluation phase of cloud computing adoption at 29%.

cloud computing adoption by region

  •  58% of global enterprises are selectively target new applications for cloud computing, with 18% heavily relying on cloud computing for new projects.  The following graphic shows the distribution of organizations’’ approaches to using cloud computing for new applications or IT projects.

New Apps By Region

  • SaaS (71%) and Hosted Infrastructure Services (69%) are the two most common IT services currently purchased today, with 14% growth forecasted in each by 2016. The fastest growing category is Platform-as-a-Service (PaaS), with 37% purchasing these services today projected to grow another 26% in two years.

current future it services

  • SaaS is most prevalent in enterprises with over 500 employees, and Hosted Infrastructure Services, in government and education.  Please see the graphic below for the distribution of responses by IT service and organization type.

 

current it services by company size

  • Spending on hosted private clouds will increase from 28% of spending today to 32% in 2016, with traditional dedicated infrastructure services dropping from 48% to 42%.

Hosted Infrastuctrure Services

  •  The majority of SaaS users are employees (45%) followed by businesses (which could be interpreted as suppliers and the broader supply chain) (22%), consumers (18%) and business partners (including distribution channels (14%).

primary application users

 

  • Telephone conversations with customer support specialists is the most valuable form of communication (just over 60%) across all support channels.  It is also the most preferred channel for SaaS support.

valuable forms of communication

  •  Business applications (17%), databases (14%) and e-mail 12%) are the top three application spending categories today in hosted and cloud applications.  The following graphic breaks out spending by hosting and cloud configuration.

hosted and cloud applications

  • Having a well-defined architecture for security (7.7 out of 8.0), understanding who the end-users are (7.6) and train users to be cautious with access & security (7.5) in addition to having a well-defined architecture for performance (7.5) are the three top best practices for cloud computing projects.

best practices cloud computing projects

  • 44% of enterprises globally have “shadow IT”, meaning business units are spending their own budget on cloud computing projects outside of the IT approval processes.  The following graphic provides the breakdown by type of organization included in the survey.

shadow it

  •  87% of respondents globally would recommend cloud computing to a peer or colleague and 13% would not. When asked why or why not, respondents most often mentioned a good experience and better service/it works (approximately 17%), followed by improving costs/cost effective/cheaper (approximately 16%).  Security issues and concerns (25%) and uncertainty/it’s too new (approximately 16%) are the reasons for not recommending cloud computing.

recommend cloud computing

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