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Posts from the ‘BigData’ Category

BCG’s Value Creators Report Shows How Software Is Driving New Business Models

boston-300x211Boston Consulting Group (BCG) recently released their fifth annual technology, media and telecommunications (TMT) value report. The 2013 TMT Value Creators Report: The Great Software Transformation, How to Win as Technology Changes the World (free, opt-in required, 41 pgs).

The five trends that serve as the foundation of this report include the increasing pervasiveness of software, affordable small devices, ubiquitous broadband connectivity, big-data analytics and cloud computing.  BCG’s analysis illustrates how the majority of TMT companies that deliver the most value to shareholders are concentrating on the explosive growth of new markets, the rise of software-enabled digital metasystems, and for many, both.

The study is based on an analysis of 191 companies, 76 in the technology industry, 62 from media and 53 from telecom.  To review the methodology of this study please see page 28 of the report.

Here are the key takeaways from this years’ BCG TMT Value Creators Report:

  • BCG is predicting 1B smartphones will be sold in 2013, the first year their sales will have exceeded those of features phones.  By 2018, there will be more than 5B “post-PC” products (tablets & smartphones) in circulation. There are nearly as many mobile connections in the world as people (6.8B) according to the United Nation’s International Telecommunication Union (ITU).

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  • 27 terabytes of data is generated every second through the creation of video, images social networks, transactional and enterprise-based systems and networks.  90% of the data that is stored today didn’t exist two years ago, and the annual data growth rate in future years is projected to be 40% to 60% over current levels according to BCG’s analysis.

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  • The ascent of communications speeds is surpassing Moore’s Law as a structural driver of growth.  BCG completed the following analysis graphing the progression of microprocessor transition count (Moore’s Law) relative to Internet speed (bps) citing Butter’s Law of Photonics which states that the amount of data coming out of an optical fiber is doubling every nine months. BCG states that these dynamics are democratizing information technology and will lead to the cloud computing industry (software and services) reaching nearly $250B in 2017.
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  • BCG predicts that India will see a fivefold increase in digitally-influenced spending, ascending from $30B in 2012 to $150B in 2016, among the fastest of all nations globally according to their study. India will also see the value of online purchases increase from $8B in 2012 t5o $50B in 2016.

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  • 3D printing is forecast to become a $3.1B market by 2016, and will have an economic impact of $550B in 2025, fueling rapid price reductions in 3D printers through 2017.  BCG sees 3D printing, connected travel, genomics and smart grid technologies are central to their digital metasystem.   The following graphic illustrates the key trends in each of these areas along with research findings from BCG and other sources.

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  • Only 7% of customers are comfortable with their information being used outside of the purpose for which it was originally gathered.

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  • BCG reports that mobile infrastructure investments in Europe have fallen 67% from 2004 to 2014.  Less than 1% of mobile connections in Europe were 4B as of the end of 2012, compared to 11% in the U.S. and 28% in South Korea.   European operators have also been challenged to monetize mobile data as well, as the following figures illustrate.

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  • Big Data is attracting $19B in funding across five key areas according to BCG’s analysis.  These include consumer data and marketing, enterprise data, analytical tools, vertical markets and data platforms.  A graphical analysis of these investments is shown below.

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Why CIOs Are Quickly Prioritizing Analytics, Cloud and Mobile

Customers are quickly reinventing how they choose to learn about new products, keep current on existing ones, and stay loyal to those brands they most value.  The best-run companies are all over this, orchestrating their IT strategies to be as responsive as possible.

The luxury of long technology evaluation cycles, introspective analysis of systems, and long deployment timeframes are giving way to rapid deployments and systems designed for accuracy and speed.

CIOs need to be just as strong at strategic planning and execution as they are at technology.  Many are quickly prioritizing analytics, cloud and mobile strategies to stay in step with their rapidly changing customer bases.  This is especially true for those companies with less than $1B in sales, as analytics, cloud computing and mobility can be combined to compete very effectively against their much bigger rivals.

What’s Driving CIOs – A Look At Technology Priorities

Gartner’s annual survey of CIOs includes 2,300 respondents located in 44 countries, competing in all major industries.  As of the last annual survey, the three-highest rated priorities for investment from 2012 to 2015 included Analytics and Business Intelligence (BI), Mobile Technologies and Cloud Computing.

Source: From the Gartner Report Market Insight: Technology Opens Up Opportunities in SMB Vertical Markets September 6, 2012 by Christine Arcaris, Jeffrey Roster

 

How Industries Prioritize Analytics, Cloud and Mobile  

When  these priorities are analyzed across eight key industries, patterns emerge showing how the  communications, media and services (CMS) and manufacturing industries have the highest immediate growth potential for mobility (Next 2 years).  In Big Data/BI, Financial Services is projected to be the fastest-developing industry and in Cloud computing, CMS and Government.

In analyzing this and related data, a profile of early adopter enterprises emerges.  These are companies who are based on knowledge-intensive business models, have created and excel at running virtual organization structures, rely on mobility to connect with and build relationships with customers, and have deep analytics expertise.  In short, their business models take the best of what mobility, Big Data/BI and cloud computing have to offer and align it to their strategic plans and programs.  The following figure, Vertical Industry Growth by Technology Over the Next Five Years, shows the prioritization and relative growth by industry.

Source: From the Gartner Report Market Insight: Technology Opens Up Opportunities in SMB Vertical Markets September 6, 2012 by Christine Arcaris, Jeffrey Roster

How Mobility Could Emerge As the Trojan Horse of Enterprise Software

Bring Your Own Device (BYOD), the rapid ascent of enterprise application stores, and the high expectations customers have of continual mobile app usability and performance improvements are just three of many factors driving mobility growth.

Just as significant is the success many mid-tier companies are having in competing with their larger, more globally known rivals using mobile-based Customer Relationship Management (CRM), warranty management, service and spare parts procurement strategies.  What smaller competitors lack in breadth they are more than making up for in speed and responsiveness.   Gartner’s IT Market Clock for Enterprise Mobility, 2012 captures how mobility is changing the nature of competition.

Source: IT Market Clock for Enterprise Mobility, 2012 Published: 10 September 2012 Analyst(s): Monica Basso

 

Bottom Line – By excelling at the orchestration of analytics, cloud and mobile, enterprises can differentiate where it matters most – by delivering an excellent customer experience.  Mobility can emerge as an enterprise Trojan Horse because it unleashes accuracy, precision and speed into customer-facing processes that larger, complacent competitors may have overlooked.

Gartner Releases Their Hype Cycle for Cloud Computing, 2012

Enterprises are beginning to change their buying behaviors based on the deployment speed, economics and customization that cloud-based technologies provide.  Gartner cautions however that enterprises are far from abandoning their on-premise models and applications entirely for the cloud.

Based on an analysis of the Gartner Hype Cycle for Cloud Computing, 2012, the best results are being attained by enterprises that focus on a very specific strategy and look to cloud-based technologies to accelerate their performance.  Leading with a strategic framework of goals and objectives increases the probability of cloud-based platform success. Those enterprises that look to cloud platforms only for cost reduction miss out on their full potential.

The Hype Cycle for Cloud Computing, 2012 is shown below:

Cloudwashing and Inflated Enterprise Expectations

While the hype surrounding cloud computing may have peaked, cloudwashing continues to cause confusion and inflated expectations with enterprise buyers.  This just slows down sales cycles, when more straightforward selling could lead to more pilots, sales and a potentially larger market. Cloud vendors who have the expertise gained from delivering cloud platforms on time, under budget, with customer references showing results are starting to overtake those that using cloudwashing as part of their selling strategies.

Additional take-aways from the Gartner Hype Cycle for Cloud Computing include the following:

  • Cloud Email is expected to have a 10% adoption rate in enterprises by 2014, down from the 20% Gartner had forecasted in previous Hype Cycles.  This represents modest growth as the adoption rate of this category had been between 5 and 6% in 2011.
  • Big Data will deliver transformational benefits to enterprises within 2 to 5 years, and by 2015 will enable enterprises adopting this technology to outperform competitors by 20% in every available financial metric.  Gartner defines Big Data as including large volumes processed in streams, in addition to batch.  Integral to Big Data is an extensible services framework that can deploy processing to the data or bring data to the process workflow itself. Gartner also includes more than one asset type of data in their definition, including structured and unstructured content.  The Priority Matrix for Cloud Computing, 2012 is shown below:

  • Master Data Management (MDM) Solutions in the Cloud and Hybrid IT are included in this hype cycle for the first time in 2012.  Gartner reports that MDM Solutions in the Cloud is getting additional interest from Enterprise buyers as part of a continual upward trend of interest in MDM overall.  Dominant vendors in this emerging area include Cognizant, Data Scout, IBM, Informatica, Oracle and Orchestra Networks, are among those with MDM-in-the-cloud solutions.
  • PaaS continues to be one of the most misunderstood aspects of cloud platforms.  The widening gap between enterprise expectations and experiences is most prevalent in this market.  Gartner claims this is attributable to the relatively narrow middleware functions delivered and the consolidation fo vendors and service providers in this market.
  • By 2014 the Personal Cloud will have replaced the personal computer as the center of user’s digital lives.
  • Private Cloud Computing is among the highest interest areas across all cloud computing according to Gartner, with 75% of respondents in Gartner polls saying they plan to pursue a strategy in this area by 2014.  Pilot and production deployments are in process across many different enterprises today, with one of the major goals being the evaluation of virtualization-driven value and benefits.
  • SaaS is rapidly gaining adoption in enterprises, leading Gartner to forecast more than 50% of enterprises will have some form of SaaS-based application strategy by 2015.  Factors driving this adoption are the high priority enterprises are putting on customer relationships, gaining greater insights through analytics, overcoming IT- and capital budget-based limitations, and aligning IT more efficiently to strategic goals.
  • More than 50% of all virtualization workloads are based on the x86 architecture. This is expected to increase to 75% by 2015.  Gartner reports this is a disruptive innovation which is changing the relationship between IT and enterprise where service levels and usage can be tracked.

Bottom line: Gartner’s latest Hype Cycle for Cloud Computing  shows that when cloud-based platforms are aligned with well-defined strategic initiatives and line-of-business objectives, they deliver valuable contributions to an enterprise.  It also shows how Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) are the catalysts of long-term market growth.  The following slide from the presentation  High-Tech Tuesday Webinar: Gartner Worldwide IT Spending Forecast, 2Q12 Update: Cloud Is the Silver Lining (free for download) also makes this point.

Gartner Search Analytics Shows Spike in Hadoop Inquiries in 2012 – Good News For CRM

Hadoop was one of the most-searched terms on Gartner’s website in 2011 through 2012, spiking to 601.8% over the last twelve months alone.  Additional insights from the Search Analytics on Hadoop include the following:

  • 27% of all inquiries are from banking, finance and insurance industries, followed by manufacturing (14%), government (13%), services (10%) and healthcare (8%).
  • North America (75.9%) and EMEA (13.5%) are the two most dominant geographies in terms of query volume.
  • Here is the trend line from Gartner Search Analytics:

What’s driving Hadoop’s meteoric rise in searches is a combination of industry hype about big data, CIOs getting serious about using Hadoop distributions that minimize time and risk yet deliver value, and the dominant role Amazon is playing in bringing Hadoop into the cloud.  Today Amazon offers Elastic MapReduce as a Web Service that relies on a hosted Hadoop framework running the Elastic Compute Cloud (EC2) in conjunction with Amazon Simple Storage Service (S2).

Microsoft also scored a major hiring win this week announcing that Raghu Ramakrishnan, former chief scientist for three divisions of Yahoo is now with Microsoft. Raghu is now a technical fellow working in the Server and Tools Business (STB).  He’ll focus on big data and integration to STB platforms.  Big Data on Azure will accelerate now with him on-board.

Hadoop’s Potentially Galvanizing Effect on CRM and Social CRM Analytics

The quickening pace of Hadoop adoption in the enterprise is good news for CRM and especially social CRM. Analytics and Business Intelligence (BI) are the “glue” that unify CRM and keep it in context. One of Hadoop’s greatest potential contributions is the analysis, categorization and use of unstructured content.  Marketing and sales won’t have to run three or four systems to gain insights into customer data, they can run a single analytics platform that fuels the entire selling cycle and lifetime customer value chain of their businesses.  Hadoop has the potential to make unstructured content more meaningful while also reporting the impact of customer insights on financial performance, profitability and lifetime customer value.

Translating terabytes of customer, sales, services and partner data into meaningful analytics and business intelligence (BI) is emerging as a priority for CIOs, who are sharing responsibility for driving top-line revenue growth.   Hadoop shows potential to be the “glue” or galvanizing technology base that unifies all CRM and Social CRM strategies.

To get a perspective on how fast Hadoop is being evaluated and adopted it’s useful to look at the Hype Cycle for Data Management, the latest edition published July, 2011.   This is another indicator of how quickly Hadoop and big data are gaining in terms of CIO mindshare.  Big Data and extreme information management are on the technology Trigger area of the hype cycle.  The Hype Cycle for Data Management is shown below:

Bottom line:  CRM and Social CRM will benefit more than any other area of an enterprise as Hadoop’s adoption continues to accelerate.  CIOs are increasingly called upon to be strategists, and with the ability to translate terabytes of data into strategies that deliver dollars, look for Hadoop’s contributions to drive top-line revenue growth.

How Cloud Computing And ERP Mobility Are Reordering Gartner’s Hype Cycle for ERP

A good friend of mine recently became CIO of a financial services firm and was given his first major project last month: make the complete accounting, financial, and loan provider data and applications available 24/7 on any iPad or Android-based tablet from any office, at any time.

The majority of loan provider applications are cloud-based and his company is running NetSuite.  His corporate office is in Asia and cloud-based applications made it possible for the company to launch and operate in California within months.   He’s been given six months to transform this mobile vision into reality.

Another CIO of a major A&D manufacturer I recently visited wants vendors to challenge him more to get greater value from his investments in legacy data and ERP systems. Using ERP to run batch reports alone has nearly caused project schedules to slip, so the focus internally is on real-time system integration of project management and accounting systems.  He’s also been given the task of revamping accounting and financial systems by October, 2012, and they just started late last year.

Gartner’s Hype Cycle for ERP 

Considering these two extremes in the context of the Gartner Hype Cycle for ERP (shown below) and the recent report SaaS and Cloud ERP Trends, Observations, and Performance 2011  (free for download until January 9, 2012) published by Aberdeen last month several take-aways emerge.

  • CIOs are under increasing pressure in 2012 to enhance, modify even replace existing ERP systems while standardizing technology across the enterprise at the same time.  The most risk-averse way around this is to add applications to single instance ERP backbone systems, with analytics and Business Intelligence (BI) being the among the most in demand.
  • Cloud-based ERP in the Enterprise and Small & Medium Businesses (SMB) are accelerating along the Hype Cycle faster than Gartner indicates.  Enterprises are using Cloud-based ERP systems as part of their two-tier ERP system strategies due to the Total Cost of Ownership (TCO) and time-to-deploy advantages, and the flexibility of tailoring everything from user interfaces to workflows to their specific requirements.  Highly specialized Cloud-based ERP suites including those from Plex Systems are gaining traction due to their expertise in specific industries and the compliance-related challenges inherent within them. In SMBs, the cost and time-to-deploy are two major drivers with concerns over security being the biggest impediment to growth.  Gartner reports that they are seeing Cloud-based ERP adoption fastest in companies with fewer than 200 users overall.
  • Cloud-based ERP systems most often considered in industries that have high variable costs, rapid transaction cycles and tend towards higher Return on Invested Capital (ROIC).  Based on the research SaaS and Cloud ERP Trends, Observations, and Performance 2011 the industries who are the most willing to consider Cloud-based ERP versus on-premise are Financial Services (22% SaaS versus 44% on-premise); Healthcare (42% SaaS versus 58% on-premise); and Professional Services (56% SaaS versus 58% on-premise).
  • Large companies (over $500M in annual revenue) using Cloud-based ERP systems are opting for hosted deployments managed by their ERP vendor (10%) or an independent 3rd party (11%), with just 2% relying on a SaaS platform. Aberdeen defined small organizations as those with annual sales under $50M, midsize organizations having annual sales of $50M – $500M. The following is from SaaS and Cloud ERP Trends, Observations, and Performance 2011:
  • ERP mobility will be a dominant force from the shop floor to each sales call where quotes, orders and contracts deliver real-time order and pricing updates.  How a given manufacturer chooses to sell is even more important than what they sell in many industries. Equipping manufacturing, quality assurance, production scheduling, procurement and sales to have immediate data on what’s going on with orders, customers and suppliers is critical.  For the sales and service teams, real-time data is the fuel they run on.  There’s a chronic time shortage in many, many companies right now, and bringing greater ERP mobility from the shop floor to the sales call will increasingly be seen as a means to lessen the time crunch.  2012 is the year where mobility gets real across the enterprise with solid performance numbers being generated as a result.  For companies with large sales forces and service organizations, integrating to key ERP systems to gain real-time data will quickly lead to increased sales and higher gross margins on service and warranty repairs.
  • Gartner predicts that by 2015 enterprises who are successfully using extreme information management strategies (Big Data) will outperform competitors in their industry sectors by 20% in every available financial metric.  The following is the Priority Matrix for ERP, 2011 showing what Gartner believes to be transformational technologies and strategies in ERP.

How Analytics and Business Intelligence Are Accelerating Enterprise Cloud Adoption

During the last few weeks of completing a research project on buyer personas, a key finding of of just how quickly enterprises are switching out legacy reporting apps for SaaS-based analytics and Business Intelligence (BI) is emerging.

I’ve been interviewing sales VPs, sales operations directors, contract managers and CIOs. Of all these groups, the CIOs are providing valuable insight into the transition SaaS is going through in their enterprises.

Throughout this post I’ll correlate the interviewed CIOs’ comments back to a recent report Forrester published titled Understanding The Business Intelligence Growth Opportunity by Holger Kisker, Ph.D.  Dr. Kisker’s findings support many of the insights gained from the research on personas completed to date.

Key Points from Persona Interviews and Forrester Study

  • Forrester predicts the market for BI SaaS software will be $529M in 2011 growing to $2.4B in 2014.  The report mentions that by 2012, up to 30% of companies will have some SaaS-based BI services.  From the conversations with CIOs, I think this is actually low.  The urgency to get off of legacy reporting systems and onto a unified reporting platform is quickly changing this market.
  • 80% of enterprises will complement on-premise analytics and BI systems with SaaS-based applications by 2014 according to Forrester.  From the persona study I am working on, the cut-over is going to be much more abrupt.  50% or less of companies will most likely have on-premise applications in place by 2014, as SaaS-based analytics and BI applications provide business users with the information they need when they need it.
  • iPads running analytics and BI apps with lenders’ data in real-time are the new bling in financial services.  One CIO who recently was recruited to a financial services firm told me he quickly picked out the other C-level execs in the room – they all had iPads running analytics apps with live customer data.  One of his first projects: make that happen for the sales teams with a policy app.  Everyone I’ve spoken with on this research study tells me being able to get to their analytics data on an Android or Apple iOS device is critical for their build-out plans.
  • The greatest concerns the CIOs continue to have with SaaS are data integration to legacy systems and lack of security standards.  Despite these concerns one CIO summed it up well and said “We really don’t have a choice, the legacy reporting apps are too high maintenance, don’t integrate to our new workflows well – we need a new reporting platform, so we are piloting a SaaS-based analytics app right now.”
  • The high cost of maintaining legacy reporting applications, integrating them to the latest Microsoft, Oracle or SAP databases, and preserving tribal knowledge are factors pushing CIOs to adopt SaaS-based analytics and BI apps.  One of the CIOs is with a government subcontractor who has Airbus, Boeing, Sikrosky Aircraft as their largest clients explained how dashboards are manually generated in Excel, taking weeks and often being inaccurate.  To comply with contracts they must move to a faster reporting process.  Using SaaS-based analytics in pilots have trimmed the time for creating dashboards from weeks to hours.
  • Cloud integration and security are the skill sets these CIOs are hiring for right now.  A quick analysis from Google Insights shows the rapid ascent of cloud integration as a search term. While Insights doesn’t provide demographics, the persona interviews underscore this trend.
  • Analytics and BI data integration wins are setting the foundation for more complex system migrations in the future.  Bank of America, Citibank and other financial institutions have client-side systems that are outpacing legacy systems’ ability to analyze and make use of the massive amount of inbound data they provide.  Implementing cloud integration projects successfully, in conjunction the successful launch of more scalable SaaS-based analytics and BI applications sets the foundation for migrating even more complex systems.  The Forrester Report Understanding The Business Intelligence Growth Opportunity included the following graphic with further underscores this point.

Bottom line: The lessons learned from migrating analytics and reporting from legacy to SaaS-based analytics and BI applications, combined with the need to have customer and market intelligence on mobile devices, is leading to rapid changes in this market.

SaaS-based Analytics and Business Intelligence Market Update, August 2011

Challenging, uncertain economic times accelerate sales cycles and lead to more closed deals for business intelligence software providers.  Companies get an urgency to reduce costs and risks, relying on the insights gained from these applications.

There’s an interesting dichotomy starting to emerge in how experts and analysts define just how these markets will mature however.  Both agree that economic uncertainty are growth catalysts yet they diverge on adoption rates, roadblocks, and which analytics and BI technology will dominate in the years ahead.

This week I read Balancing Custom And Packaged Apps In Your Application Portfolio Strategy by George Lawrie, Mike Gilpin and Adam Knoll from Forrester and the latest Hype Cycle of Business Intelligence, 2011 by a collection of Gartner authors led by Andreas Bitterer.  I’ve summarized the key points of each below.

Forrester Sees SaaS Applications Overtaking Custom Application Development

Forrester sees SaaS-based applications starting to replace in-house custom application development, gathering momentum through 2013.  Gartner, with their Hype Cycle for Business Intelligence, 2011 just released this week, shows BI platforms having greater near-term benefit than SaaS-based analytics and BI.  Custom application development projects are going to face continued pressure to keep up with business requirements that SaaS applications are proving able to handle more effectively and economically than ever before.

In-house development makes more sense for specific analytics and reporting requirements,  yet will continually be eroded by SaaS-based applications that can meet most requirements at a lower cost.  Forrester has in the past said SaaS-based adoption of analytics applications in general and predictive applications specifically would be very slow due to data integration challenges.  This study points to a potential shift in their mindset, as the data shows SaaS-based analytics beginning to replace custom in-house developed applications.

Here are the key take-aways from the report:

  • Analytics processes are supported 79% of the time with custom application development.  Procure-to-pay (33%) and record-to-report (33%) are the second-most supported.  Multiple responses were allowed in the survey.
  • When asked which process areas they are automating with SaaS, analytics (33%), record-to-report (18%), order-to-cash  (15%), and purchase-to-pay (12%) were the most common responses.  There was a small sample size on the Forrester report and the most startling insight was how quickly respondent companies plan to migrate from custom application development to SaaS-based analytics and BI.
  • Nearly 50% of the respondents to the Forrester survey have between five and 19 SaaS-based applications today with 18% expecting to have 35 or more by 2013.  In addition 63% of respondents expect to deploy between five and 34 SaaS-based applications by 2013, a significant shift in just two years.
  • 36% of survey respondents say their  SaaS applications run completely standalone.  Another 36% mention they use a combination of on-premises Master Data Management (MDM) and process integration tools.  Ironically only 3% are deploying their applications on cloud-based MDM or process integration-based platforms.

Gartner’s Hype Cycle for Business Intelligence, 2011

Unlike the hype cycle for cloud computing, this hype cycle has fewer technology categories (25), a narrative firmly grounded in business process and strategy, and more practical and pragmatic insights versus just theoretical.  At 50 pages it’s  quick read and while there are many excellent points made, I have summarized the key take-aways pertaining to the highest hype points and SaaS adoption below:

  • Mobile Business Intelligence (BI) is the latest entry to the Hype Cycle for Business Intelligence based on the massive hype around analyzing locational and application data.  The hype surrounding the Apple iPad Series, Google Android and other tablet and smartphone platforms has made this one of the most hyped areas of the last year according to the analysis.
  • Consumerization, Decision Support, analysis of non-traditional data and “Big Data” are the areas of the greatest innovation today.  The hype cycle points to search, mobile, visualization and data discovery being the catalyst of Consumerization.  Predictive analytics, which is on the Slope of Enlightenment on this latest hype cycle, is critical to decision support.  The non-traditional and “Big Data” area of innovation is further supported by content, text analytics, in-memory DBMSs and columnar DBMSs.
  • SaaS-based Business Intelligence is at the apex of the Peak of Inflated Expectations yet will continue to have low adoption rates.  Gartner believes that the  lack of trust in third parties managing confidential data, and the inertia and fear many companies have in moving to a new architecture are slowing adoption.  This is in contrast to the survey Forrester released this week showing analytics being one of the most popular SaaS-based applications planned by 2013 in their base of respondents.
  • Gartner sees SaaS-based Business Intelligence of the most value to midsize and smaller organizations who lack IT staff yet have very specific, targeted information needs.  Website analytics, social media monitoring, dashboards, predictive analytics and Excel as a BI front-end all apply.  Both Forrester and Gartner agree on this point and see this type of custom development going away quickly internally.
  • There is a massive amount of hype surrounding in-memory computing, particularly from SAP at its Sapphire conferences .  Gartner believes that SAP’s vision of in-memory computing exceeds  in-memory analytics to include analytical and transactional processing.  As a result, In-Memory Database Management Systems are at the Peak of Inflated Expectations.


Source: Hype Cycle for Business Intelligence, 2011, Published 12 August 2011 | ID:G00216086 By Andreas Bitterer.  Gartner, Inc.

What Both Agree On

Forrester’s survey shows SaaS eventually replacing custom application development while Gartner’s Hype Cycle for Business Intelligence shows the practical, pragmatic technologies including dashboards, predictive analytics combined with the more complex Business Activity Monitoring (BAM), Business Intelligence Platforms, and Data-Mining Workbenches delivering the most value.  Despite these differences, both agree on the following:

  • The overall market for BI, Analytics and Performance Management continues to grow at between 8 to 12% per year depending on the forecast used.  The following forecast is from the report  Market Trends: Business Intelligence, Worldwide, 2011-2014, 7 June 2011 | ID:G00213483 by Dan Sommer and James Richardson.
Source: Market Trends: Business Intelligence, Worldwide, 2011-2014, 7 June 2011 | ID:G00213483 by Dan Sommer and James Richardson
  • 2011 continues to see large, strategic deals for analytics and BI closing more rapidly than they have in the past.
  • SaaS-based analytics and BI continues to gain a greater share of spending in midsize and smaller companies.  Both also agree that the proliferation of smaller SaaS-based analytics and Bi vendors concentrating on a specific niche have successfully displaced in-house custom development of competitive applications.  Trust in the smaller vendor, their track record, customer references and financial viability are what are winning deals for SaaS-based analytics and BI software providers today.
  • The market transition from build to buy is now in full force as budgets become available again.  This is key assumption of both analyses and means that smaller, more niche-oriented SaaS-based analytics and BI vendors stand a chance to get new reference accounts and grow, despite a challenging economy.

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

Become Efficient or Die: The Story of BackType

Nathan Marz is the Lead Engineer at BackType and recently presented the two following presentations, The Secrets of Building Realtime Big Data Systems and Become Efficient or Die: The Story of BackType at the Palmetto Open Source Software Conference (POSSCON) in Columbia, South Carolina.
BackType specializes in the development and launch of advanced systems designed for analyzing social media.  The company has also established itself as one of the most effective marketing intelligence systems and services providers specializing in social media analysis as well.  This is a company worth tracking as they will be a disruptive force in social media analysis and market intelligence.

Become Efficient or Die: The Story of BackType

The Secrets of Building Realtime Big Data Systems

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