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Posts from the ‘Analytics’ Category

Jul 27

hypecyclefinal
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Gartner Releases Their Hype Cycle for Cloud Computing, 2011

Calling the hype around cloud computing “deafening”, Gartner released their annual hype cycle for the 34 different technologies in a 75 page analysis today.  You can find the Hype Cycle at the end of this post and I’ve provided several of the take-aways below:

  • The industry is just beyond the Peak of Inflated Expectations, and headed for the Trough of Disillusionment. The further up the Technology Trigger and Peak of Inflated Expectations curve, the greater the chaotic nature of how technologies are being positioned with widespread confusion throughout markets. The team of analysts who wrote this at Gartner share that conclusion across the many segments of the Hype Cycle.
  • Gartner states that nearly every vendor who briefs them has a cloud computing strategy yet few have shown how their strategies are cloud-centric. Cloudwashing on the part of vendors across all 34 technology areas is accelerating the entire industry into the trough of disillusionment. The report cites the Amazon Web Services outage in April, 2011 as a turning point on the hype cycle for example.
  • Gartner predicts that the most transformational technologies included in the Hype Cycle will be the following: virtualization within two years; Big Data, Cloud Advertising, Cloud Computing, Platform-as-a-Service (PaaS), and Public Cloud computing between two and five years; and Community Cloud, DevOps, Hybrid Cloud Computing and Real-time Infrastructure in five to ten years.
  • There continues to be much confusion with clients relative to hybrid computing.  Gartner’s definition is as follows ”Hybrid cloud computing refers to the combination of external public cloud computing services and internal resources (either a private cloud or traditional infrastructure, operations and applications) in a coordinated fashion to assemble a particular solution”. They provide examples of joint security and management, workload/service placement and runtime optimization, and others to further illustrate the complex nature of hybrid computing.
  • Big Data is also an area of heavy client inquiry activity that Gartner interprets as massive hype in the market. They are predicting that Big Data will reach the apex of the Peak of Inflated Expectations by 2012.  Due to the massive amount of hype surrounding this technology, they predict it will be in the Trough of Disillusionment eventually, as enterprises struggle to get the results they expect.
  • By 2015, those companies who have adopted Big Data and extreme information management (their term for this area) will begin to outperform their unprepared competitors by 20% in every available financial metric. Early use cases of Big Data are delivering measurable results and strong ROI.  The Hype Cycle did not provide any ROI figures however, which would have been interesting to see.
  • PaaS is one of the most highly hyped terms Gartner encounters on client calls, one of the most misunderstood as well, leading to a chaotic market. Gartner does not expect comprehensive PaaS offerings to be part of the mainstream market until 2015.  The point is made that there is much confusion in the market over just what PaaS is and its role in the infrastructure stack.
  • SaaS performs best for relatively simple tasks in IT-constrained organizations. Gartner warns that the initial two years may be low cost for any SaaS-based application, yet could over time be even more expensive than on-premise software.
  • Gartner estimates there are at least 3M Sales Force Automation SaaS users globally today.

Bottom line: The greater the hype, the more the analyst inquiries, and the faster a given technology ascends to the Peak of Inflated Expectations. After reading this analysis it becomes clear that vendors who strive to be accurate, precise, real and relevant are winning deals right now and transcending the hype cycle to close sales.  They may not being getting a lot of attention, but they are selling more because enterprises clearly understand their value.

Source: Gartner, Hype Cycle for Cloud Computing, 2011 David Mitchell Smith Publication Date: 27 July 2011 ID Number: G00214915 © 2011

Jul 24

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Predicting Cloud Computing Adoption Rates

From conservative, single digit adoption rates to hockey-stick projections of exceptional growth, analyst firms, venture capitalists and government ministries are weighing in on how they see cloud adoption progressing.

While each of the adoption rate predictions vary significantly in terms of their methodologies and results, all rely on the assumption that SaaS applications including CRM will continue to gain momentum.  The user adoption rates vary on how fast the momentum is, yet all share this assumption.  Speed, increased user adoption rates, and the ability to more closely align software to business goals are cited most often as the biggest benefits.

Where the projections vary most is whether enterprises will eventually migrate the majority of their applications to the cloud or not.  Forrester, Gartner and others see a hybrid cloud architecture emerging in the enterprise and forcing the issue of legacy systems migration by 2015.  As would be expected, vendor-driven research sees an “all or nothing” world in the near future.

Sanity Check

Wanting to see how reliable the figures were showing rapid cloud adoption in the enterprise, I did a quick sanity check.  Taking the  distribution of sales by segment for Salesforce.com and their annual revenue growth rate, then normalizing it across all segments, enterprise emerges as their strongest segment by a wide margin in 2015.  It had a 15%+ compound annual growth rate (CAGR) from 2011 – 2015 just taking their current sales by segment distribution of sales and extrapolating forward.  Data points like this and the market factors behind them is why SaaS is often used in these studies as a leading indicator of broader cloud adoption.

Adoption Rate Round-Up

  • Forrester found that SaaS will outgrow all other cloud services, achieving 37% adoption in 2011 growing to 50% by 2012.  In previous studies Forrester has shown that SaaS is a major growth catalyst of ongoing investment in IaaS and PaaS in enterprises. Source: Source:  Forrsights: The Software Market In Transformation, 2011 And Beyond Shifting Buying Preferences Lead To New Software Priorities by Holger Kisker, Ph.D. with Pascal Matzke, Stefan Ried, Ph.D., Miroslaw Lisserman  Link: http://bit.ly/ijJy70  The following table is from the report:

  • Microsoft Global SMB Cloud Adoption Study released in March, 2011 is one of the most comprehensive done this year on this topic. Of the many findings, the study predicts  39 % of SMBs expect to be paying for one or more cloud services within three years).  One of the best studies on cloud adoptions done this year Source: Study Results Document (PDF (22 pages): http://bit.ly/gN8yTx

  • North Bridge Venture Partners, GigaOM PRO and over a dozen research partners completed the study The Future of Cloud Computing 2011.  The study found 13% expressed high level of confidence in cloud computing for enterprise applications, with 40% experimenting and 10% saying they will never use cloud-based platforms as they are too risky. A presentation of the results can be found here:

Source: http://futureofcloudcomputing.drupalgardens.com/2011-future-cloud-computing-survey-results

  • Springboard Research (Forrester) completed a study of cloud computing adoption in Asia finding 31% of companies with 50 or fewer PCs will adopt cloud-based applications in 18 months, 56% with up to 500 PCs.  The key findings are available for download from the source URL below the infographic.

                                     Microsoft Asia is making this available for download here: http://bit.ly/jWjOj1

  • TechTarget published their analysis of virtualization and cloud computing adoption in the study, State of virtualization and cloud computing: 2011.  Of the many findings, a few of the most significant is how pervasive VMware ESXi 4 and later (vSphere) is throughout enterprises today.  The study also shows that 7% of those interviewed had implemented cloud computing in 2010, growing to 9% in 2011 – quite conservative compared to many of the other adoption rate analyses completed.  You can find the results here: http://searchdatacenter.techtarget.com/feature/State-of-virtualization-and-cloud-computing-2011
  • Yankee Group has found that in 2011, 41 percent of very large enterprises (more than 10,000 employees) have already deployed or are considering deployment of platform as a service (PaaS) within the next 12 months, compared to just 32 percent in 2010.  They have also found that mobility is most significant factor driving cloud adoption in the enterprise. Source: http://professional.wsj.com/article/TPCHWKNW0020110722e77q0004d.html

Jun 18

Roundup of Cloud Computing and Software-as-a-Service (SaaS) Forecasts, June 2011

The gap is beginning to close between the value SaaS-based applications have the potential to deliver and what customers are achieving.

While SaaS-based software vendors are making major strides in integration, reliability, system performance and usability, it is the enterprise buyer’s skepticism and high standards forcing the market to move forward.  The latest series of market forecasts and surveys reflect greater use of actual customer results and a quickening pace of progress.

Performance-Driven Cultures and SaaS Adoption

Measuring business outcomes using industry standard and company-specific metrics typifies companies getting the best results.  A lack of clarity or confusion around strategy based goals leads to low adoption and eventual abandonment of SaaS initiates.  Sales and sales operations VPs are winning the debates against home-grown or internal system development based on speed of deployment, usability and integrated analytics of SaaS applications.  Based on the surveys and research completed this year, the best SaaS implementations are designed on a firm foundation of measurable results including quantifying risk.

Performance-driven cultures have a higher success rate with SaaS pilots, are more thorough in defining their own infrastructure (IaaS) and platforms (PaaS), and also know what success looks like from a metrics-driven standpoint.   The graphic, Performance-Driven Culture: The Metrics Continuum, shown to the left, was originally published in Gartner’s Predicts 2011: Enterprise Architecture Shifting Focus to Business Value Outcomes Report, November, 11, 2010 Philip Allega, et.al supports this point.  Please click on the graphic to expand it for easier reading.

Hype is Prolonging the Peak of Inflated Expectations

The bottom line is all really matters is measurable, repeatable performance when enterprises evaluate their SaaS strategies.  Many marketing, sales, sales operations and service VPs must defend their choice of SaaS over legacy system upgrades or internal system development.  Resistance to change and complacency in IT is slowly killing many companies who must step up and keep pace with their customers to survive. People are betting their jobs on this technology.  Many in marketing, sales and service want to know how to improve and measure business strategy performance.  That’s one of the main inflexion points in SaaS marketing today.

 The reality for enterprise users is that nothing gets purchased, no matter how wonderful the claims, unless there are strong metrics that link them back to business performance.  That’s what is deflating hype in this market faster than any other factor.  You can download the Gartner Hype Cycle for Cloud Computing 2010 from the link (no opt-in).  Please click on the graphic to download the Gartner Hype Cycle for Cloud Computing 2010.

Here are short summaries of the latest cloud computing and SaaS forecasts published recently:

  • Gartner is forecasting enterprise-based spending for Software-as-a-Service (SaaS) applications  will grow at a 16.3% compound annual growth rate through 2015. SaaS will grow at nearly double the pace of licensed enterprise applications during the forecast period.  Licensed applications will grow at a n 8.5% CAGR during the same period. The following  table, Total Software Revenue Forecast for SaaS Delivery Within the Enterprise Application Software Markets, 2007-2015 (Millions of U.S. Dollars) compares enterprise software spending by application category for the forecast period. Source: http://my.gartner.com/portal/server.pt?open=512&objID=260&mode=2&PageID=3460702&id=1728009&ref=

     Total Software Revenue Forecast for SaaS Delivery Within the Enterprise Application Software Markets, 2007-2015  (Millions of U.S. Dollars) 

     

  • The Asia-Pacific (APAC) Software as a Service (SaaS) market is expected to grow from $390M in 2008 to $4.3B in 2015, at an estimated CAGR of 41.0% from 2008 to 2015. The appeal and reach of software as a service (SaaS) continue to grow rapidly among enterprises in Asia Pacific. Australia & New Zealand (ANZ) is the largest regional SaaS market in Asia Pacific. SAAS is gaining momentum in ANZ because of the markets resemblance to the North American market with better broadband penetration, availability of applications getting delivered in SaaS mode and overall greater adoption of IT in general. Source: http://professional.wsj.com/article/TPMTPW000020110214e72e002k2.html
  • Cloud middleware systems markets at $1.5B in 2010 are forecast to reach $4.3B, worldwide by 2017.  Cloud computing middleware represents the base for development of all cloud computing infrastructure as it supports systems integration and systems self-provisioning.  Market leaders are predicted to be Akamai, IBM, Google, Microsoft, and Oracle. Source: http://wintergreenresearch.com/
  • Infonetics Research forecasts the overall managed security services market, including CPE, SaaS, and cloud services, to reach just under $17B by 2015.  SaaS and cloud-based security services are expected to make up close to half of the overall managed security services market opportunity by 2015 Worldwide SaaS revenue is forecast to grow dramatically over the next few years, with a compound annual growth rate (CAGR) of 23% from 2010 to 2015.  Source: WSJ Journal 
  • Cloud service adoption is up 61% from 2010 and 45% of multinational corporations (MNCs) already use cloud sourcing for at least some elements of key IT services.  Cable & Wireless and Ovum partnered to create this white paper, full of excellent insights and research data: http://www.cw.com/assets/content/pdfs/resource/ovum-cloud-wp.pdf
  • 60 percent of companies worldwide said cloud computing is a top IT priority for the next year, the sentiment is even higher in the C-suite with three in four (75 percent) C-level executives reporting cloud computing as top of mind.  According to an Avanade Research and Insights’ Global Survey: Has Cloud Computing Matured? Third Annual Report, June 2011, there is also significant purchasing of cloud services without the IT department’s knowledge, with nearly 20% of all purchases never reviewed with the CIO. Source: Avanade Research Report  
  • By 2014, cloud computing services will grow to a $45B industry a year (IDC) and SaaS to grow at 21% CAGR to touch $17.6B.  Microsoft recently published the following presentation, Grow Your Business with Cloud – Are You Ready?  You can download a copy of the presentation by clicking on the presentation to the right.
  • The global cloud computing market is expected to grow from $37.8B in 2010 to $121.1 B in 2015 at a  CAGR of 26.2% from 2010 to 2015 according to Yankee Group. SaaS is the largest segment of the cloud computing services market, accounting  as it did for 73% of the market’s revenues in 2010. The IaaS and PaaS markets are still at a nascent stage and  currently hold a small share of the Cloud computing services market. However, these are expected to witness  moderate growth due to their flexibility and cost effectiveness.Source: CSS Corp. Analysis.
  • Project and Portfolio Management (PPM) software emerged in 2009 as a fast-growing market for SaaS, with a compound annual growth rate (CAGR) of more than 40% projected for the next five years according to Gartner. PPM software consumption environments are changing radically, with hosted and SaaS options — as a result, most traditional on-premises vendors are forced to provide SaaS alternatives to counter new entrants and SaaS-only PPM vendors.  Source:  Competitive Landscape: SaaS Project and Portfolio Management Software, Worldwide, 2011 published 6 April 2011.

Jun 12

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Gartner Search Analytics Shows Spike in Platform as a Service (PaaS) Inquiries in 2011

Trends of search terms from user accounts and topics of their inquiries form the catalyst of research agendas in many IT advisory firms.  At Gartner these two factors and others like them are commonly regarded as leading indicators of future IT spending.

Gartner has been delivering short analyses of these subject areas to clients in the form of reports, with the latest being Search Analytics Trends: Platform as a Service published on June 9, 2011.  This report covers user search activity from April, 2009 to March, 2011. For purposes of the report, Platform-as-a-Service (PaaS) is defined as cloud application infrastructure services delivered as a service.  Gartner makes the point that PaaS includes no traditional software license and is expensed on a metered or utility basis.  Presented below is the time series of searches by month from the report.

A few key take-aways emerge from the report, and they are presented below:

  • Cloud Middleware Services including Platform-as-a-Service (PaaS) are still unknown to many Gartner IT user clients.  As a result this area is seen with skepticism by many of their clients.  In studies of PaaS adoption from other analysts at Gartner and Forrester, it is evident that internal software development will make or break the credibility of PaaS initiatives for the long-term.
  • When Gartner IT users search for PaaS on the website and throughout online research, the four most common secondary terms are IaaS and SaaS (7.05%), Magic Quadrant (6.12%) and cloud (5.72%).  Clearly Gartner IT user clients are looking to define their own technology stack in this area and looking for a framework of reference of where PaaS fits into their own IT plans and architectures.  The competitive intensity across the analyst community will most likely go up as a result of the uncertainty many IT buyers have over PaaS.
  • The top three vendors that Gartner IT users search for are Microsoft (18%), Amazon (13%) and Tata (11%).  Additional vendors include IBM (11%), Salesforce.com (11%), SAP (7%), Google and Oracle (4%).

Bottom line: The key to PaaS adoption in larger enterprises, many of which are IT user clients of Gartner, is how successfully Independent Software Vendors (ISVs) clarify their value proposition and how their apps add value to the platform layer.

Jun 8

SaaS Start-up Metrics from an Investor’s Point of View: SaaS Math

Mark MacLeod, General Partner, Real Ventures is a frequent advisor and contributor to the efforts of the Canadian-based Medical and Related Sciences (MaRS) .  He often presents during their best practices speaking series and contributes to the organizations’ related incubator programs.

His latest presentation, SaaS Math, given on May 24th, is a pragmatic and hands-on look at which metrics are most relevant and valued by SaaS investors. I’ve included both the slides and video below.

Using Metrics to Define a Profitable SaaS Business Model

In this presentation Mr. MacLeod covers the key pricing decisions and metrics that need to be used for managing a recurring revenue business.  He also explores the most important customer metrics for new ventures including Average Revenue Per User (ARPU), Cost of Acquisition (CAC) and Customer Lifetime Value (CLTV).  Related metrics on acquisition, conversion, churn and referrals are also mentioned throughout the presentation and slides. He covers the specifics of SaaS pricing and how freemium can be effectively used in a SaaS business model.   He ends the discussion with an analysis of early stage valuations.

Bottom line: The presentation SaaS Math provides a useful framework of analytics for software companies looking to attain recurring revenue targets while still investing heavily to grow their businesses.

Apr 2

CRM word cloud
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Gartner’s Hot CRM Applications for 2011 Show SaaS is Accelerating in the Enterprise


Gartner’s report, What’s ‘Hot’ in CRM Applications in 2011 shows clients are moving to the next stage of their strategies for using SaaS in the areas of customer service, marketing and sales.  They’re asking for more analyst time, discussing how to quickly deploy applications company-wide versus just in departments, and most important, how to measure the results. Cross-CRM applications including Business Process Management Systems (BPMS) and Master Data Management (MDM) are two of the more popular areas of inquiry Gartner is getting right now from infrastructure initiatives standpoint to unify CRM data and strategies as well.

Factors Driving Faster Adoption

Escaping high maintenance fees on their legacy CRM applications, facing chronic time shortages that make the traditional lengthy application deployment cycles unaffordable and impractical, and a mindset of measuring results from software spending are fueling greater SaaS adoption.

A local financial services firm is migrating to SaaS-based feedback management and analytics to capture customer satisfaction more effectively than their legacy CRM application could.  Chief Marketing Officers (CMOs) are also driving more technology adoption in the areas of social media for marketing, lead management, mobile marketing and Web analytics as they’re more accountable for delivering measurable results.  The new mindset in many companies about measuring results and continually improving strategies is a powerful catalyst of SaaS application adoption.  A summary table from the report is provided below (please click on it to expand for easier reading) along with key take-aways.

Key Take-Aways from the Report:

  • Software-as-a-service (SaaS) delivery represented approximately 26% of all CRM application spending in 2010. Spending on CRM applications grew by more than 8% in 2010.
  • In sales applications, almost 50% was delivered via SaaS, where it is now widely viewed as a mainstream model.
  • Operational CRM is the automation of processes such as campaign management or case management. It represents more than 70% of all CRM spending and grew at around 4% in 2010.
  • Analytical CRM, which includes predictive analytics and segmentation applications, grew 9% and according to Gartner represents nearly 25% of CRM spending.
  • Social CRM grew at over 50%, but still represents less than 5% of all CRM spending. According to the report, 90% of social CRM spending is by business-to-consumer (B2C) companies and approximately 85% of spending is initiated by companies based in North America.  Gartner expects the social CRM market to reach $1B in revenue by year-end 2012, up from $600M in 2010.
  • In terms of inquiry traffic, Social CRM is the hottest area of interest in customer service and marketing departments, followed by related areas like digital marketing and e-commerce. Gartner points out that Social CRM is used both within and outside an organization and is of equal importance to its clients today based on their inquiries.

Bottom line: This report shows more companies are confronting the need to change their customer service, marketing and selling strategies to be customer driven on an enterprise, not just department basis.  They are relying on SaaS based applications as  the catalyst of changing customer-driven strategies in companies.  CMOs and other senior managers are focused on measuring customer satisfaction, loyalty and profitability instead of just cost reductions as a result.

Source: What’s ‘Hot’ in CRM Applications in 2011 Ed Thompson, Michael Maoz, Kimberly Collins, Michael Dunne Publication Date: 17 March 2011 ID Number: G00211657


Jan 22

Building a High Performance Cluster with Amazon Web Services

Amazon Web Services has released the following video that provides a fascinating look at how straightforward it is to create, launch and monitor high performance cluster instances.

CPU utilization, disk I/O and network utilization are tracked as part of the metrics, and guidance on how to define hardware virtualization (HVM) is also defined.   Creating an 8-node, 64 core, ad hoc cluster is defined in the steps in this video with the intent of running a molecular dynamics simulation.

What is interesting about this video is how Amazon Web Services continues to show the practicality of its broad spectrum of server capacities on the Elastic Compute Cloud (EC2).   This is the first in a series of videos Amazon Web Services will be releasing on creating high performance clusters.  It’s worth checking out as the walk-through of steps shows how rapidly EC2 is maturing as an enterprise platform.

Implications for the Enterprise

EC2 has language-agnostic Web Services APIs that show potential for integrating legacy systems, databases, master data management (MDM), CRM and enterprise systems.  For enterprises that have data-centric operations and business models, EC2 could become the foundation of contextual search and role-based access of their legacy data.  Decades of data accessed via contextual search would provide insights that aren’t possible today using existing methods of data access, integration and analysis.

Bottom line: Creating high performance clusters in AWS EC2 shows potential to increase the accuracy and precision of business intelligence and analytics, and potentially solve the most complex data-driven challenges of social CRM.

Flickr attribution: http://www.flickr.com/photos/vitroids/2586785504/

Jan 1

Google Insights Cloud Computing
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Roundup of Cloud Computing Forecasts and Market Estimates, 2011

During the last four months of 2010 the pace of published forecasts on cloud computing, IaaS, PaaS and SaaS forecasts quickened, yielding an eclectic and at times conflicting view of this emerging market. From the daily Google Alerts, RSS feeds, e-mail subscriptions and offers to buy research reports on cloud computing received, the pace is being matched by the variety of research being completed.


I did a quick review of the term “cloud computing” on Google Insights for Search, which produced the following graphic.  Google Insights for Search is an excellent analytical tool, as it will render a forecast based on previous results and show geographic concentrations.  Please click on the image to expand it for easier viewing.

Cloud Computing Was Gartner’s Most Popular Inquiry Topic Last Year

Gartner analyst Ben Pring sums it all up when he writes in the report, The Influence of Cloud in Outsourcing, 2010-2011 that cloud computing was the #1 area of inquiry for the advisory firm in 2010. The Google Insights analysis and the proliferation of reports underscore that point.

Before reviewing all these forecasts, it’s good to also take a look at the latest Gartner Hype Cycle for Cloud Computing, 2010.  Back in October 2010, Intel started offering it on their website for free.  You can get a copy of the Gartner Hype Cycle for Cloud Computing, 2010 by clicking here.

2011: When Cloud Computing Customer Results Became King

You can debate which area of the hype cycle the industry is on, yet after reviewing all these forecasts and projections the urgent need for real-world results is clear. As 2011 begins, any software company who has measurable results from customers, not just projections, of their cloud and SaaS-based strategies will be much further ahead of the mainstream.

Hopefully this year the research firms will cite more users than ever before an anchor these forecasts, as varied as they are, back to customer results.  That said, the energy and intensity going into forecasting the cloud computing and SaaS markets is impressive.

Here is the roundup of cloud computing forecasts and predictions for 2011:

  • Experton Group is forecasting that the German cloud computing market is forecast to grow from EUR 1.14 billion in 2010 to EUR 8.2 billion in 2015. This is equal to average annual growth of 48 percent. In 2015, cloud computing will account for around 10 percent of total IT expenditure in Germany. Around half of revenue in 2015 will be generated from cloud services, with a third coming from investment in cloud infrastructure, mainly data centres. The use of so-called ‘private clouds’ by businesses will account for EUR 2.6 billion in revenues by 2015, up from EUR 400 million in 2010. Source: http://professional.wsj.com/article/TPDMEUR00020101007e6a700061.html
  • Gartner analysts write in the report Predicts 2011: New Relationships Will Change BI and Analytics, that by 2013, 33% of business intelligence functionality will be consumed via handheld devices, and 15% of BI deployments will combine BI, collaboration and social software into decision-making environments. By 2014, 30% of analytic applications will use in-memory functions to add scale and computational speed. In addition, 30% of analytic applications will use proactive, predictive and forecasting capabilities and 40% of spending on business analytics will go to system integrators, not software vendors.  All of this is predicated on the security and scalability of cloud-based analytics.
    Source:  Predicts 2011: New Relationships Will Change BI and Analytics
  • TechMarketView predicts the value of the UK cloud computing market will more than double between now and 2014 from £2.4bn to £6.1bn according to the study UK Software and IT Services Market Forecast published in December by the firm.
  • MarketsandMarkets.com in their report, Cloud Computing Market – Global Forecast (2010 -2015) predicts that the global cloud computing market is expected to grow from $37.8 billion in 2010 to $121.1 billion in 2015 at a CAGR of 26.2% from 2010 to 2015. SaaS is the largest contributor in the cloud computing services market, accounting for 73% of the market’s revenues 2010. Source: http://www.marketsandmarkets.com/Market-Reports/cloud-computing-234.html
  • Renub Research has made the following predictions in their latest report titled Cloud Computing – SaaS, PaaS, IaaS Market, Mobile Cloud Computing, M&A, Investments, and Future Forecast, Worldwide.Here are the key take-aways from the summary sent to me of the study:
    • Worldwide Cloud Computing market is growing at a rapid rate and it is expected to cross $25 Billion by the end of 2013
    • Renub predicts the Platform as a Service (PaaS) market size will reach US$ 400 Million by the year 2013
    • Renub also predicts that Infrastructure as a Service (IaaS) market will increase at a CAGR value of 52.53% for the period spanning 2010 – 2013
    • US Federal IT budget devoted to Cloud Computing Spending will reach nearly US$ 1 Billion by 2014

Source: http://www.reportlinker.com/p0293136/Cloud-Computing-SaaS-PaaS-IaaS-Market-Mobile-Cloud-Computing-M-A-Investments-and-Future-Forecast-Worldwide.html

You can also find additional market forecasts in my post from July 19, 2010 titled Sizing the Cloud Computing Market and IDC Predicts SaaS Will Re-Order Software Landscape by 2012.

Happy New Year and I hope you find these links useful.  I’ve been tracking this activity a while and thought this would be a good time to publish the list.

Best Regards

Louis

Dec 22

2 Comments

Data Science Shows Potential To Redefine Cloud-based Analytics

The emerging field of data science is a fascinating one that has major implications on the potential of cloud-based analytics, CRM, search, supply chain management and logistics.

Instead of relying purely on latent semantic indexing or the Google PageRank algorithm to define relevance of a search, data science techniques analyze content and its context to determine relevance.  Google today looks at the content of a page; data science considers its surrounding data and relevance.

Earlier this month TechCrunch published the blog post Marissa Mayer’s Next Big Thing: “Contextual Discovery” — Google Results Without Search.  The techniques of contextual discovery Google is experimenting with rely on a very rapid aggregation and transforming of data, which are part of the methodologies of data science.   When Google moves fully into contextual discovery the potential exists for cloud-based analytics, CRM, search, supply chain management and logistics to be completely revolutionized by solving the big data problems associated with each of these areas.

In CRM, this would mean finally being able to access external and internal content (including the massive amount of data on social networks), aggregate the data, and transform it into meaningful analysis.  The vision of social CRM would be realized once data science serves as the catalyst of contextual search or as Google calls it, contextual discovery.

Exploring Data Science

Two of the best blog posts are both from O’Reilly Radar on the emerging topic of data science.  What is data science? By Mike Loukides and Six months after “What is data science?” by Mac Slocum O’Reilly Radar are worth reading and giving some serious thought to.  O’Reilly also has also created a free report titled What is Data Science, which can be downloaded here.

Authors Mike Loukides and Mac Slocum set the foundation for how transformational data science has the potential of being by concentrating on the nascent area of data products.  A data product is the result of accessing, aggregating and transforming content regardless of its location – and capturing data on its attributes – not just the data itself. Both authors point to reference systems and guided reference engines on e-commerce sites as just the beginning.  Yet after reading their assessments and listening to Roger Magoulas, O’Reilly’s Director of Research, interviewed about data science below there are many more potential uses of this evolving area.

Potential Impact of Data Science on Analytics

The blog posts by Mike Loukides and Mac Slocum go into detail explaining how each area of data science is in varying levels of maturity.  After reading these over and considering the big data problems in cloud-based analytics, CRM, search, supply chain management and logistics, the following methodology starts to make sense:

Access – For data science to realize its full potential there needs to be a technology layer that provides for real-time access to structured and unstructured content both within and outside an enterprise.  More than a traditional Enterprise Application Integration (EAI) layer the technologies driving data access need to selectively pull all available content from every unstructured and structured data source available.  Mike Loukides mentions Google Goggles and how MapReduce has made this application possible.  Hadoop as a means to create greater access across federated content has much potential in this phase as well.

Aggregate – Called data conditioning by Mike Loukides, the aggregation phase is where contextual discovery happens.  This could be accomplished through contextual search filters, taxonomies defined by specific alerts, or the use of the MapReduce and Hadoop query and relevance tools in use today.

Transform – Where Hadoop could be used for driving data analysis and as Mike Loukides calls this level of analysis, data jiujitsu.   Examples are mentioned by both Mike Loukides and Mac Slocum including the Hadoop Online Prototype (HOP), which does real-time stream processing and several others.  The impact of the access, aggregate and transform methodology on visualization is available at Flowing Data, one of the best sites on the Web for seeing how MapReduce, Hadoop and other data science-related techniques are taking on massive amounts of data and delivering insights.

Conclusion

Solving the big data problems of social media monitoring, sentiment analysis, forming a scalable platform for social CRM, integrating CRM, supply chain management and logistics data to demand management – and tying all of these areas to financial performance – is potentially achievable with data science.  Deployed as a cloud-based platform opens up even greater potential for getting the most use of social networks, free data sources, and third-party databases than is possible today.

Be sure to check out the video below of Roger Magoulas, O’Reilly’s Director of Research, where he was interviewed about data science.

Article links:

What is data science? By Mike Loukides  O’Reilly Radar
Six months after “What is data science?”  by Mac Slocum O’Reilly Radar

Sep 3

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