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Chinese Tier 2 and 3 cities need to do a much better job to promote foreign investment

Chinese Tier 2 and 3 cities need to do a much better job to promote foreign investment

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I have visited China for business repeatedly over the last 15 years. As most would be more than aware, the growth on any econometric variable has been sustained and typically staggering. As someone who studied economic and regional development as an undergrad student the demographics of China is equally of interest and impressive.

The size and scale of cities and metropolitan areas in China is staggering. It has 15 cities with over five million residents and approximately 140 more with over a million residents. It is a market and level of potential consumers that any other country (particularly one like my home country of Australia) can only dream of.

The challenge for these 15 cities with over 5 million people, let alone the 140 with over one million is standing out in a competitive environment. The largest cities (Beijing, Shanghai, Shenzhen et al) clearly stand out and have defined roles and investment attractiveness with which to differentiate themselves.

For the remaining 150 or so cities the differentiation is difficult. From my experience city or provincial level executives and officials regularly make the rounds of global cities to promote their city as being the optimum place to invest in China. To be frank they do a poor job. I do not think that they realize the level of competition that each city has for investment. When the competition internally (let alone from Indian, Vietnam etc) is so tight everything needs to be beyond reproach. Too often it isn’t. Marketing is poor, presenters can be tangled up in hyperbole and as a result, loose with facts, language skills need to be improved (if you are selling to a foreign entity, English or other language proficiency is a core requirement).

To highlight the challenge, the following are “must have” attributes, not differentiators. Too many cities believe that naming these attributes gives them instant access and street credibility.

  • Population over 2,000,000
  • Access to a new International airport
  • Access to high speed rail
  • Provincial level political support (overt or covert) –this is a post on its own!!!!
  • Development of business centers (occupied or otherwise).
  • A university (of some description)

To put it into context, if you have the attributes mentioned above, you are not differentiated. You have only reached the starting gates. Attributes such as network and telco connectivity are often overlooked (alongside power supply consistency, and other utilities).

Exceptional performance in the “must have” attributes alongside exceptional performance for connectivity et al is essential if Chinese cities want to successfully compete. Failing to do this will mean that cities will fall back to the pack and not have any differentiation. If you are looking to invest in China, you need to understand the real capabilities of the city, get through the hype and ensure that you have the opportunity to maximize your investment in a city or province that stands out. It is not easy, but it is also not impossible.

New C-Suite Innovation & Product-led Growth Chief Executive Officer

When Big and Data got together, it was love at first Like

When Big and Data got together, it was love at first Like

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Breathless. Heart beating. We all know the feeling. It’s all heart, feeling, emotion. We’re waiting for the brain to kick in – but there is no relief. It’s really a sign of madness.

Love is merely a madness: and, I tell you, deserves as
as well a dark house and a whip, as madmen do: and the
reason why they are not so punished and cured, is, that
the lunacy is so ordinary, that the whippers are in love too.
– Shakespeare, As You Like It, 3.2

But these days, meeting and falling in love is not just a physical thing. It’s virtual … and played out on social networks.

Facebook-Love

The Facebook data science team has been digging through the mountains of interactions that take place between people before, during and after they fall in love. They looked in detail at the number of posts exchanged going back to 100 days before the “couple” changed their relationship status from “single”. What they found was that social media interaction plays an important role in the formation of the relationship:

When the relationship starts (“day 0″), posts begin to decrease. We observe a peak of 1.67 posts per day 12 days before the relationship begins, and a lowest point of 1.53 posts per day 85 days into the relationship. Presumably, couples decide to spend more time together, courtship is off, and online interactions give way to more interactions in the physical world.

And this is where big data gets interesting. We are now starting to see digital traces of behaviours that have real world impacts. The things that we do and say online can be correlated across thousands of data points to reveal actions that take place in our so-called “real lives”. But where does it go from here?

  • Social lifestyle mapping: Facebook (and other collectors of big data) can map and improve personas, track shifts and changes in community trends and lifestyles over time
  • Predictive targeting: With social lifestyle mapping in place, algorithms can be used to predictively target individuals and groups with relevant information. This could take the form of advertising, public health messaging/recommendations, career suggestions and so on. In fact, the possibilities are endless
  • Location awareness: As a large number of Facebook interactions take place on mobile devices, location awareness can add a greater degree of relevance to any of these predictive or realtime offers.

High level barriers:

There are some immediate barriers to usefulness that spring to mind:

  • Brands are slow to catch and embrace technology innovation: Facebook (and indeed Google) have a great deal of work ahead to prepare brands and governments for the power and opportunity that this presents. Thus far we’ve seen precious little in the way of focused education and leadership in this area and without it, organisations simply won’t be prepared (or interested) in this
  • Organisations lag in digital transformation: For these opportunities to be embraced, most organisations have to undertake digital transformation activities. Ranging from change management and education to strategy, business system overhauls and process improvement, digital transformation is the only way to unlock organisation-wide value – but few are seriously committed to such a program
  • Privacy is shaping up as a contested business battleground: Many governments, corporations and individuals fervently hang on to notions of pre-internet era privacy. Laws and regulations have struggled to keep pace with the changes taking place in our online behaviours. Meanwhile public and private organisations are conflicted in their use of, protection and interest in privacy. We’ll need to work through this to understand whether privacy really is dead.

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Every worker is a knowledge worker, yes, but they are mostly bored, what’s next?

Every worker is a knowledge worker, yes, but they are mostly bored, what’s next?

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  1. How many employees are on your P&L that are titled knowledge workers but are modern manual workers performing repeated mundane tasks optimal for automation?
  2. How many mistakes/errors are occurring, and what security and privacy risks are being introduce daily to your organization by humans conducting tasks that should be conducted my marginally intelligent machines?
  3. What happened to the euphoria we were all sold as a promise of knowledge workers, where we would all be visionaries?

In 2011 Business Week ran an article suggesting every worker is a knowledge worker. While this may be true standing on the body of knowledge surrounding “knowledge workers” gifted to the world by Peter Drucker, when we look past the runway of Drucker’s foresight the term “knowledge worker” starts to fall short on its promise to enterprises.

While today’s knowledge workers chug away using more knowledge and cognition than manual workers from factories a century ago resulting from the industrial revolution, the move from manual workers to knowledge workers was not a single event in history, instead it is the beginning of a trajectory that will likely continue forever. Every wave of knowledge work will forever become a series of repeatable manual steps commoditized and optimized for automation constantly beckoning mankind to use more cognition in work, and less muscle.

The first manual workers were termed “skilled workers” … modern manual workers were termed knowledge workers.

Knowledge workers initially used new knowledge to do work while the industrial revolution automated manual tasks. But, today most knowledge workers are conducting several repeatable manual tasks that beg for automation as we enable the Internet revolution. Think about a systems administrator, or a platform architect, or better yet a production and deployment manager in a large enterprise technology department.

Most of these “knowledge” worker roles described as examples above are barely using knowledge and rarely using cognition. The tasks are manual and repeatable such as install, test, configure, deploy, apply load, measure, tweak, freeze, replicate, and repair etc etc. More and more knowledge workers use less knowledge and more manual effort, less cognition and more muscle.

The big question is what new revolution will automate the manual tasks of today’s knowledge workers freeing them from the broken promise?

Lets make this personal, hundreds of million of young students globally study for four years to earn college degrees with the hope of creating, innovating, disrupting and contributing awesome sauce with their brilliant and divergent cognition as visionaries. Sadly, the lion’s share of these young minds end up being modern manual workers labeled knowledge workers. Slowly, their dreams disappear into a mundane reality of conducting repeatable tasks over and over. Very few use cognition, and become visionaries; but they all wanted to.

Sadly, the lion’s share of these young minds end up being modern manual workers labeled knowledge workers.

I believe we have today the knowledge, science and technology to welcome a new global labor defining revolution to follow the Internet revolution and Industrial revolution. This new revolution will unchain billions of new correctly termed modern manual workers once called knowledge workers from the mundane tasks of today’s offices to a world where cognition can be used as the rule instead of the exception.

GE does a brilliant job calling for the Industrial Internet, a merging of the Industrial revolution and the Internet revolution. I believe strongly in the value and velocity of the Industrial Internet and will spend significant time delivering thought leadership here in the months to come.

However.

What I think we have not considered as yet is Artificial Intelligence. AI is the knowledge, science and technology we have creating the AI revolution and enabling the ability for us to automate billions of modern manual workers once termed knowledge workers. As an example the AI Revolution will automate the tasks such as install, test, configure, deploy, apply load, measure, tweak, freeze, replicate, and repair etc. from roles such as system administrators, platform architects, or production and deployment managers in large enterprise technology department discussed above.

Artificial Intelligence will go beyond the reactive automations tools we have into predictive automation tools, creating/replacing the “knowledge” needed.

I know what you are probably thinking, how many folks will loose their jobs to Artificial Intelligence? The answer is simple, none permanently. This was the exact fear we had at the beginning of the Industrial revolution, and what happened was pure beauty. Trillions of dollars of Global GDP were reallocated away from paying men and women to use axes and hammers to use buttons and levers.

Manual jobs lost were replaced with upgraded knowledge jobs.

This macro allocation of GDP redefined humanity, as we knew it. Public education delivered at scale to the masses became a reality and innovation grew exponentially as evolution went supersonic, literally. We used more knowledge and less muscle and accelerated evolution.

The Artificial Intelligence revolution will reallocate trillions of dollars away from modern manual workers once termed knowledge workers to continue the momentum going away from axes and hammers to buttons and lever eventually to simply thinking. When artificial intelligence automates the manual tasks left in the world, we will welcome a new class of workers called visionary workers.

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Visionary workers will be paid to think, and innovation will grow more exponentially, enabling evolution at supersonic speed to become just the tact of existence.
There is a lot of detail, history, science and mathematical crunching embedded in this somewhat cheeky piece of writing, but if you concur, what are your thoughts on the questions below?

  1. How many employees work for you that are termed knowledge workers but are really modern manual workers?
  2. How many of those jobs can Artificial Intelligence automate freeing those humans to finally go chase their dreams?
  3. How many people did you hire hoping they were visionaries, and probably still can be?

Welcome to the Artificial Intelligence Revolution and a workforce of visionary workers. In the next decade I estimate 500 Billion of global annual GDP paid to modern manual workers (knowledge workers) will be automated by Artificial Intelligence.

How much of these savings are you going to take advantage of?

New C-Suite Future of Work Chief Executive Officer Chief People Officer

Research Summary: Sneak Peeks From Constellation's Futurist Framework And 2014 Outlook On Digital Disruption

Research Summary: Sneak Peeks From Constellation's Futurist Framework And 2014 Outlook On Digital Disruption

Accelerated Pace of Change Creates the Perfect Storm for Dominating Digital Disruption

The 2014 trends are out. The big predictions have been made.  Yet what does it all mean as most organizations anticipate another unpredictable year?  Since 2000, 52 percent of the companies in the Fortune 500 have either gone bankrupt, been acquired or ceased to exist (Figure 1).  The pace of change has increased, competition has intensified and business models have been disrupted.  The only certainty is that change will accelerate.

Figure 1. Digital Disruption Has Demolished 52% of the Fortune 500 Since 2000

In fact, the digitalization of business is a key factor in this accelerated pace of change.  Information flows faster.  Most parties enjoy greater transparency, yet the digital divide makes transparency patchy.  Every node reacts more quickly.  The speed of execution as a differentiator has resulted in agility in delivering disrupting business models. Market leaders shift from selling products and services to promising outcomes and experiences.

Market leaders and fast followers want to know what trends will affect customer demand. How will these trends affect hiring decisions?  Are there new and emerging technologies that will power disruptive business models?  What factors will help organizations dominate digital disruption?  How does one stay safe in a world of digital exhaust?  What networks matter?  Who are my competitors, collaborators and co-innovators? How does one make sense of the disparate and often contradictory trends pointed out by experts, pundits and analysts?

Constellation Applies A Futurist Framework To Guide 2014 Outlook and Beyond

Constellation’s research team uses a tried and true futurist framework that looks at the political, economic, societal, technological, environmental and legislative (PESTEL) shifts ahead (see Figure 2). The PESTEL model is used to synthesize the major trends and provides guidance on how Constellation approaches its seven key business themes over the next 2 to 3 years in:

  1. Consumerization of Technology and the New C-Suite
  2. Data to Decisions
  3. Digital Marketing Transformation
  4. Future of Work
  5. Matrix Commerce
  6. Next-Generation Customer Experience
  7. Technology Optimization and Innovation

The strategic assumptions from Constellation’s 2014 PESTEL framework form the basis for the business theme-led research.  Over the next 36 months, research from each business theme will factor these trends into the overall research agenda.  The goal in 2014 is to help clients not only navigate, but also dominate digital disruption.

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Figure 2. PESTEL Approach Provides a Futurist Framework For Business Themes and Planning

Three Technological Trends Boost Digital Business Disruption in 2014 and Beyond

Important pillars of digital disruption begin with social, mobile, cloud, big data and analytics, and unified communications.  The convergence of these pillars provides the key to future innovations.  The technology shifts that present opportunities to create new business models are also the same opportunities that disrupt existing systems.  While advanced materials, clean energy and personal genomics are key disruptive areas, Constellation identifies three technological shifts powering digital business disruption (see Figure 3):

Figure 3.  Technology Trends Move Beyond Social, Mobile, Analytics (Big Data), Cloud, And Unified Communications

  1. Mass personalization at scale drives relevancy and context. Systems of engagement shift to systems of mass personalization at scale that deliver relevancy. The shift from analog to transactional systems led to a wave of automation-driven efficiencies in the past century. Today, engagement systems move toward experiential systems that deliver massive contextual relevancy at scale, create role-tailored communication styles, deliver bionic user experiences, and move at the right time and scale.  The shift to systems that deliver mass personalization at scale is now underway (see Figure 7).  These systems start with an outcome-driven design point, solve delivery of massive individual scale, craft personalized conversations, interface with human APIs and enable people-to-people networks.  Key technologies include 3D printers, ad technologies, augmented reality, context engines, crypto currencies, identity systems, facial recognition, payment technologies, digital wallets and personal clouds.
  2. Big data business models built around sensor and analytical ecosystem. Isolated networks shift to a connected world of sensor-based and analytical ecosystems that harness Big Data. In both the consumer and enterprise worlds, smart machines and wearables provide new types of sensors and add to the mix of Big Data available to create new insights.  Constellation estimates that as many as 200 million smart wearables will ship by 2017.  These include bracelets, watches, eyewear and other devices with sensors.  Data from equipment such as automobiles and trucks, medical devices, household appliances as well as power generators and building management systems can provide opportunities to improve operational efficiencies, create new business models and identify new usage patterns. These systems will not only communicate with each other, but also interface with people – overtly and covertly.The Internet of Things moves from abstract concept to a living and breathing machine-to-machine mesh network interfaced with humanity.  By 2020, a global market for a few billion cellphone Subscribe ID Modules (SIMs) swells to 100 billion Machine ID Modules (MIMs).  Technologies include 100 gigabyte optical networks, advanced robotics and manufacturing, building management systems, MIMS, geo-location drones, self-driving cars, smart grids and software-defined networks.  There is a quantum jump in the quantity and quality of information coursing through the digital economy. Big Data business models lie before us.
  3. Augmented humanity changes the future of work and customer experience. Powerful yet static systems shift to cognitive systems that augment humanity. Cognitive computing is more than a new category.  Cognitive systems represent a convergence of artificial intelligence, natural language processing, dynamic learning, and hypothesis generation to render vast quantities of data intelligible to help humans make better decisions. The ability to self-learn enables continuously reprogramming.  These advancements represent a new class of technology to enable human and machine-guided decisions.  Cognitive computing drives augmented humanity, where the sum of our collective insights and data can be served up at the right time in the right context.  Technologies include facial recognition, human APIs, machine learning, natural language processing and self-learning algorithms.

The Bottom Line: Technology Trends Alone Are Not Enough To Consider In Dominating Digital Disruption

The premise behind the Constellation Futurist Framework requires the broader perspective of five other areas: political, economic, societal, environment, and legislative. When taken in concert, boards, CEOs, management teams, and strategic advisors will have a set of trends that provide context to the digital disruption ahead.  The framework is just the beginning.  A successful strategy will build on this futurist framework to map out the next 24 to 36 months of business model disruption.

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Your POV.

Are you still seeing the world through the lens of Social, Mobile, Cloud, Analytics, and UC/Video?  Does this help you take the bigger perspective? Ready for digital disruption?  Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) org.

Please let us know if you need help with your Digital Business transformation efforts.  Here’s how we can assist:

  • Developing your digital business strategy
  • Connecting with other pioneers
  • Sharing best practices
  • Vendor selection
  • Implementation partner selection
  • Providing contract negotiations and software licensing support
  • Demystifying software licensing
Resources

Reprints

Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact Sales .

Disclosure

Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy, stay tuned for the full client list on the Constellation Research website.

* Not responsible for any factual errors or omissions.  However, happy to correct any errors upon email receipt.

Copyright © 2001 -2014 R Wang and Insider Associates, LLC All rights reserved.
Contact the Sales team to purchase this report on a a la carte basis or join the Constellation Customer Experience

 

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Quips: Good Technology Data Validates That Apple iOS Is Still King of Enterprise Class Mobile In The US

Quips: Good Technology Data Validates That Apple iOS Is Still King of Enterprise Class Mobile In The US

Apple Grows In Net Activations In Q4 As Well As Overall

The February 12th, 2014 Good Technology Mobility Index report validates what many North American based enterprises know - Apple iOS is dominating Google Android inside the enterprise in the US markets.   While this data is limited to the Good Technology customer base, which has a strong US following, anecdotal inquires and formal polling by Constellation Research, Inc. validate that this data is directionally accurate.  Here are three graphics that illustrate the point:

  1. Net Activations By Type of Device Show iOS up in Smart Phone and Tablets While Android Drops
  2. Net Activation by Platform Shows iOS Continues To Grow While Android Activations Slightly Fall
  3. Apple Dominates Tablet Activations At 91.4% vs Google Android’s 8.6%

Source: Good Technology 2013 Q4 Mobility Index

The Bottom Line: Google Android May Be Falling Out Of Favor In The Enterprise

Despite a higher cost of device, Constellation Research sees organizations choosing Apple iOS vs Google Android.  Further, the BYOD movement still shows that enterprise users sees Apple as the enterprise class option despite the consumer traction in Android.  Constellation identifies three trends why iOS is preferred over Android in the US:

  1. Memories of BlackBerry haunt enterprise mobility. Leaders have no tolerance for the ever proliferating Android code fragmentation and device support requirements.  As with Research In Motion, the need to certify by carrier, device, and flavor of OS is seen as too big a hassle.
  2. Restrictions on customization may be a good thing. While one would find this to be a negative factor, the overall out of the box capabilities meet the 80/20 rule.  The wide variety in Android has many organizations confused and the ability to side load bad apps has the powers at be worried.
  3. Perceptions of enterprise class user experience remains with Apple. Despite increasing sales on the consumer side for Android devices, the enterprise treats Apple as the professional grade iOS.  The bugginess of Android apps and the OS in general outweigh the gimicky features found in many Android tablets and phones.

Your POV.

Are you looking at a mobile strategy? Do you see the link between mobility and digital business?  Are you an Android or Windows shop?  Will you stay or switch?  Do you disagree with the Apple iOS analysis?  Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) com.

Please let us know if you need help with your mobility and Digital Business transformation efforts.  Here’s how we can assist:

  • Assessing mobile readiness
  • Developing your digital business strategy
  • Vendor selection
  • Implementation partner selection
  • Connecting with other pioneers
  • Sharing best practices
  • Designing a next gen apps strategy
  • Providing contract negotiations and software licensing support
  • Demystifying software licensing

Related Resources

Reprints

Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact Sales .

Disclosure

Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy, stay tuned for the full client list on the Constellation Research website.

* Not responsible for any factual errors or omissions.  However, happy to correct any errors upon email receipt.

Copyright © 2001 – 2014 R Wang and Insider Associates, LLC All rights reserved.
Contact the Sales team to purchase this report on a a la carte basis or join the Constellation Customer Experience!

 

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News Analysis: Rimini Street Vs Oracle Ruling Has No Negative Impact on Third Party Maintenance Rights

News Analysis: Rimini Street Vs Oracle Ruling Has No Negative Impact on Third Party Maintenance Rights

Recent Oracle vs Rimini Street Ruling Is About Customer Software License Rights Not Third Party Maintenance

On February 13th, 2014, the United States District Court , District of Nevada Judge Larry Hicks issued a partial summary judgment in the Oracle vs Rimini Street Case. Here's the executive summary to key questions about the ruling*:

Is Third Party Maintenance still valid for Oracle products or anyone else? Yes.  Users should make sure this right is explicit in all future software deals.

Can a customer give a copy to a third party?  Yes if you have this in your license agreement.   Users should negotiate this in  contracts to ensure this right exists and remains as part of the ownership experience.

Do you have to read every contract detail before a third party maintenance provider can host the software? Yes. If there are site restrictions  and if you want to host it in a vendor's own data center.  Make sure you have the right to a site change or site license change.

Can copies of software from customers that are loaded onto the server that are identical to what another customer's rights be used or reloaded. Yes, the software license goes to intellectual property not to the media.  Third party maintenance vendors can use the same instance in setting up their clients and this will drive down the cost.

Does this ruling impact other businesses? Yes.  If you have no site specific rights, you can't have a third party outsource or host.  This could have major legal ramifications for Oracle and other vendor's existing hosting and outsourcing businesses.

Four Customer Cases End In A Draw For Oracle and Rimini Street Based On Contract Law Technicalities

The ruling includes cases from four customers each with unique contract language:

  • City of Flint - US District Court rules In Oracle's favor. "Based on the court’s ruling s above, none of Rimini’s asserted license provisions (Sections 1.2(b), 1.2( c), or 14.2) expressly authorize Rimini ’s copying of Oracle’ s copy righted PeopleSoft branded software a s a matter of law. Therefore, the court finds that Oracle is entitled to summary judgment on Rimini’s express license affirmative defense as it relates to the City of Flint, and the court shall grant Oracle ’s motion accordingly".

    Point of View (POV): The City of Flint's PeopleSoft contracts were pre-Internet and did not allow for third parties to copy licenses onto other servers on their behalf.  In fact, the licenses only allowed for the City of Flint to provide “access to and use of the Software" to a third party.  The ruling makes sense and is based on how the license contract is written.
  • Pittsburgh Public Schools - US District Court rules In Oracle's favor. "Based on the rulings above, the court finds that none of Rimini’s asserted license provisions (Sections 1.1, 1.2, or 10.2) expressly authorize Rimini’s copying of Oracle’s copy righted PeopleSoft branded software as a matter of law. Therefore, the court finds that Oracle is entitled to summary judgment on Rimini’s express license affirmative defense as it relates to the Pittsburgh Public Schools, and the court shall grant Oracle’s motion accordingly".

    (POV): Despite Oracle granting the Pittsburgh Public Schools “a nonexclusive, nontransferable license to make and run copies of the Software, "the right to access and use the Software is a separate right from the right to copy or reproduce software".  The ruling makes sense as with City of Flint based on the language in the original PeopleSoft contract.
  • Giant Cement - US District Court Denies Oracle's request for summary judgment. Based on this record, the court finds that there are disputed issues of material fact as to whether Rimini’s use of the development environment associated with Giant Cement was for archival purposes or whether Rimini accessed the software’s source code. Accordingly, the court shall deny Oracle’s motion for summary judgment on Rimini’s express license affirmative defense as it relates to Giant Cement".

    (POV): Rimini Street did show how the JD Edwards development environments were used only for archival purposes and not for software development and testing.  According to the JD Edwards licensing agreement, the court ruling to deny request makes sense as the usage was in compliance with the licensing language .
  • Novell - US District Court Denies Oracle's request for summary judgment. "First, the court finds that the plain language of Section 2.1(iv) authorizes Novell to make archival, emergency backup, or disaster-recovery testing copies. Further, the court finds that the plain language of Section 2.1(viii) permits Novell to allow Rimini, or another third-party, to install the software for archival, emergency back-up, or disaster recovery purposes. Therefore the court finds that Novell’s license allows for archival and/or back-up copies of the software on a third-party system. Accordingly, the court shall deny Oracle’s motion for summary judgment on Rimini’s express license affirmative defense as it relates to Novell.".

    (POV): The Novell specific Siebel contract language allows Novell to have any third party to make the back-up copies it needs. The court ruling makes sense.

 

The Bottom Line: Third Party Maintenance Is Alive and Well

Rimini Street currently has 120 total contracts out of 700 clients in the data center.  In conversations with Rimini Street CEO Seth Ravin mentioned that, “Rimini Street has been in the process of moving its customers out of their data center operations since 2012 “.  The action to move away from a data center operation makes sense as half the 120 total contracts may have similar language while the other half have contracts with varying wording and terms, with some even having no site restriction language at all.   In addition, Constellation has spoken to recent customers who  are managed via remote access for JD Edwards, Oracle EBS, PeopleSoft, SAP, and Siebel.  These clients have experienced few problems other than additional setup work and have taken advantage of the benefits of third party maintenance.

Recommendations: Customers Should Ensure Their Rights Span The Software Ownership Lifecycle

 

While the initial reaction would cause users and vendors to think this ruling is a draw, the devil is most certainly in the details.   The underlying issues stem from how customers negotiated their original JD Edwards, PeopleSoft, and Siebel contract rights.  These contracts had poorly defined site license rights.  Constellation recommends that every software license include clearly worded third party maintenance and outsourcing rights.  In fact, a poorly negotiated contract can have cascading ramifications across the software ownership lifecycle:

  1. Selection
  2. Implementation
  3. Utliization
  4. Maintenance
  5. Renewal or replacement

Constellation has put together an Enterprise Software Licensee Bill of Rights and An Enterprise Cloud Bill of Rights and checklist that clients can use to protect themselves. This is pertinent especially for cloud contracts which now resemble long term BPO deals and because the majority of enterprise software is nowsold  via SaaS or cloud deployments. Despite a perception of simplicity in software acquisition, many cloud contracts require all the rigor and due diligence of contracts for on-premises licensed software.

Client–vendor relationships in the cloud are seemingly perpetual. When converting from an on-premises arrangement, it is imperative that these agreements provide a chance for a new slate. Thus, chief information officers (CIOs), chief marketing officers (CMOs), line-of-business (LOB) executives, procurement managers and other organizational leaders should ensure that the mistakes they made with on- premises licensed software aren't blindly carried over.  The Enterprise Cloud Buyer’s Bill of Rights provides a tool for clients and vendors to change the tenor of contract negotiations from user subservience to an equal and collaborative long-term partnership

Disclaimers.

* R "Ray" Wang; Insider Associates, LLC; and Constellation Research, Inc.; provide software contract negotiations support and advice.  We are not legal professionals or procurement professionals.   Please check with your legal and procurement teams for the specific advice pertinent to your organization.

Your POV.

Let us know your experiences with SAP or Oracle contract negotiations   Add your comments to the blog or reach me via email: R (at) ConstellationRG (dot) com or R (at) SoftwareInsider (dot) com.

Let Us Help You.

Need help with your software contract or working out the rationale for used software or third party maintenance?  Put the power of experience with over 1500 software contract negotiations to work.  Contact us throughout the vendor selection or negotiation process.  We can help with a quick contract review or even the complete vendor selection.  We provide fix-fee and gain sharing arrangements.

Related Constellation Research

Wang, R. "Best Practices - An Enterprise Cloud Bill of Rights" Constellation Research, Inc. November 2012

Wang, R. “Best Practices – Three Simple Software Maintenance Strategies That Can Save You Millions” Constellation Research, Inc. March 7, 2012

Wang, R. “Best Practices: Why Every CIO Should Consider Third-Party Maintenance.” Constellation Research, Inc. August 7, 2012.

Wang, R. “Market Overview: The Market For SAP Optimization Options.” Constellation Research, Inc. May 11, 2011.

Wang, R. “Best Practices: The Case for Two-Tier ERP Deployments.” Constellation Research, Inc. February 28, 2011.

Related Resources And Links

Reprints

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Whither Bitcoin? Or Wither, Bitcoin?

Whither Bitcoin? Or Wither, Bitcoin?

1

A Beginner’s Guide to Bitcoin  I’m engaged in a fascinating project — interesting both because I started from total ignorance and because the subject is complex and profound. I’m helping the Fondación Innovación Bankinter pull together a colloquium on “The Future of Currencies: Bitcoin, Barter, and the Informal Economy.”

If you’re unaware of Bitcoin, the underlying fact is that it is a cryptography-based method “to establish trust between otherwise unrelated parties over an untrusted network,” quoting Mark Andreessen’s primer in the New York Times. He sees this breakthrough as in the same league with PCs and the Internet. While this capability — establishing trust — could have many applications (passing secret messages, for example), the one that’s attracting public attention now is as a peer-to-peer payment system and digital currency, or “cryptocurrency."

For the past three months, Bitcoin has been in the news constantly. The Winkelvoss Twins, of Facebook fame, were reported to have profited from a $30 million position in Bitcoin, and quoted as saying the price of a Bitcoin, then about $700, would reach $40,000. Whatever the long term may hold, there’s been plenty of room for speculative profits lately, with the price fluctuating between $500 and $1,200 for the past few months (see chart below). This has at least in part been driven by news, good (“Overtstock.com Is Now Accepting Bitcoins”) and bad (“Flaw in Bitcoin, exchange shutdowns, $2.7 million theft: Is the end coming?")

 

 

So we can add Bitcoin as another game in the financial casino. But there are many more interesting aspects to this development. Some of the facets that fuel the debate include:

•  Anonymity. Some people believe that Bitcoin can be traded with complete anonymity, hence the currency will appeal to black marketeers, drug dealers, terrorists, and others with something to hide. But others argue that because the Bitcoin protocol captures every transaction for which the currency is used, it is much more traceable than cash. In fact, Berkman Center’s Jonathan Zittrain reports that some think it’s a ploy by the US government to capture information about illegal activities.

•  Out of Control. Bitcoin is managed by a peer network; it is a currency not under the control of any government. Some argue this means it will be a low risk global currency, not buffeted by the performance of any national economy.

•  Under Control. The definition of Bitcoins establishes for all time the size of the money supply and the rate at which the current supply grows; this is the monetary policy Milton Friedman always urged for the Fed, to maximize certainty of asset holders about inflation.

•  Bad for Economic Management. As a consequence, if Bitcoin were to become prevalent, nations would lose the tools of monetary policy as a way to manage their economies.

•  Good for the Chinese. If a country wanted to reduce the influence of the U.S. Dollar, supporting crypto currencies could help. China, however, has banned Bitcoins, perhaps because the idea of a currency controlled by no one is not acceptable.

•  Friction Free. Because the apparatus for “mining” and trading Bitcoins is not part of the existing payment systems and rests on publicly available internet services, advocates see Bitcoin as putting pressure on the fees, often 5% – collected by banks and credit card companies.

And there’s more.  

I’ve dealt with Bitcoin above, but there is a much richer set of developments occurring in the world of money.  There are many crypto currencies out there — Ripple Labs has created the Ripple Exchange Protocol (RXP) as an open system, and is building not only a currency called Ripple on it but inviting others to find applications. In addition they are developing support businesses, Red Hat to RXP’s Linux. And payment systems such as M-Pesa, Vodaphone’s mobile-based money network developed in Africa, are another source of innovation; recently M-Pesa started transferring Bitcoin, and one third of Kenyans are reported to have Bitcoin “wallets.” And you’ll miss the fun if you don’t check out Dogecoin, responsible for the tip-bot on Reddit.

I’m working on the agenda for the colloquium. Some questions I think we’ll ask include:

•  Why have new payment systems arisen? What needs are the existing systems failing to meet? 

•  How will central banks view currencies existing outside their national monetary systems? 

•  What is the range of applications for a global, secure, peer-to-peer authentication systems not under the control of any central authority? 

•  What developments can we anticipate in the next five years?

Please offer your thoughts on these questions. And what others the discussion should cover.  Please note that the technology of crypto currencies is not the subject here — it is their impact on the world’s economy.

Based on what I’ve learned so far, I think (1) the payment systems available to consumers and businesses today are a rent-seeking oligopoly, ripe for disruption — the profits from these businesses will come down, just as music publishers have; (2) there will be a significant political reaction to contain crypto currencies, regardless of their anonymity or lack of it — see Simon Johnson’s recent post on this; (3) the idea of peer-to-peer verification over the net is a big idea that will have big consequences sooner or later; and (4) we don’t know as much about money and the monetary system as we think we do, and the current institutional framework will be changing, in part because of these developments. The DOJ and Ben Bernanke have already acknowledged that Bitcoin is legal and has some beneficial aspects; and (5) the emerging economies are likely to play a pioneering role in exploring crypto currencies  South Africa’s Standard Bank, South Africa’s largest, is testing integration with Bitcoin.

One scenario is that Bitcoin will be the Napster of money  an approach that perishes in the process of destabilizing the status quo, but leads to massive changes over time. 

What do you think?  – CAM

 

 

Disruptive Trends in Economics: Buyers Don't Want Products

Disruptive Trends in Economics: Buyers Don't Want Products

ConstellationRG_logo

Constellation Research has identified a series of political, economic, societal, technological, environmental, and legislative trends that will impact your business and your career. At a high level, the noted advisory services firm has identified the following trends:

  • Political issues point to a lack of digital proficiency in the political class,
  • Economic trends continue to favor innovation over incremental improvement,
  • Societal shifts show the impact technological innovation is having on everyone's lives,
  • Technological trends continue to fuel innovation and disruption,
  • Environmental factors limit the long-term possibilities,
  • Legislative reform lags behind technology and loses relevancy as a result.

Here we examine the trend in economics.

Buyers Seek Experiences and Outcomes

In an era when companies can make knockoffs from
the runways of Milan and deliver them to a competitor in seven days, today's market
differentiation no longer comes from speed of execution or product
innovation. Product companies seek margin on services. Service companies drive
loyalty and share of wallet by improving experience. Experience companies align
brand with peace-­of-­mind outcomes. The business models no longer revolve around
pure products but are tailored to customer outcomes. Disruption begins with defining
a brand experience and outcome and executing on it.

On February 27th Constellation Research will be holding a free webinar titled Six Trends Influencing Digital Business Disruption in 2014 to discuss this point and more. The Webinar will be held from 10:00 AM - 10:45 AM PST

New C-Suite Innovation & Product-led Growth Future of Work Next-Generation Customer Experience Leadership Chief Executive Officer

Excerpt from “Like My Stuff”: Why Do Business on Facebook?

Excerpt from “Like My Stuff”: Why Do Business on Facebook?

Why is it important for brands to have a Facebook e-commerce capability? Mike Fauscette, an Analyst at IDC Consulting says, “In three to five years, 10 percent to 15 percent of total consumer spending in developed countries may go through sites such as Facebook.”

 

Why might Fauscette make this prediction? Facebook users spend 700 billion minutes per month in an active, relaxed environment. The average Facebook user is connected to 130 friends. They belong to 80 interest groups. Through their detailed profiles and by posting on average 90 pieces of content per month, Facebook users make their preferences known. Word-of-mouth (WOM) recommendations or buyer-beware messages are prevalent.

 

Today’s social customer is not shy about posting their thoughts about a brand, its products and services, or the experiences they have with the brand. The unique selling opportunities Facebook can offer has gotten the attention of digital marketer’s and PR professionals. As social media plays an increasingly more important role in purchasing decisions, brands are allocating larger parts of their marketing budgets to engage with their consumers on platforms like Facebook and Twitter.

 

Many brands, big and small, are wondering if they should go down this path. How is this different than the e-commerce they already offer? And does f-commerce mean that you have to get rid of your traditional e-commerce platform? Are there pitfalls to social commerce or commerce on Facebook? It’s these and other questions we will address in this e-book.

 

Be Where Your Customers Are

For many brands, Facebook is where their customers are online. And the mantra in social media? A brand needs to be where their customers are within the social net. A brand can’t expect that their customers will come to them (or their site.) The theory of f-commerce is that customers should be able to buy wherever and whenever they like. If they are on Facebook then they should be able, among many other things, to purchase products while they interact with their friends and family.

 

Some people have questioned whether it’s even possible to sell customer products in the midst of them using Facebook to catch up with their friends and family. Perhaps that’s all people want to do while on Facebook, i.e., they don’t want their social network to sell them stuff while they are socializing. And if that is the case, then perhaps brands should keep their commerce offerings on their e-commerce sites.

 

However, while some people are of the opinion that people visit Facebook just to catch up with their friends and family, a  JWT (James Walter Thompson) study showed that 48 percent of millennials (aged 20–33) would like to buy directly on Facebook from the places they shop. In a another study industry study, 25 percent of customers aged 18–34 years old stated they use Facebook to interact with merchants. How many companies are planning to increase their funding for social commerce according to this study? Ninety percent will increase funding for social commerce initiatives by 8 percent.

 

There is a trend, and that trend is the blending of social networks with e-commerce. The skill with which brands do this will directly affect the success not only for their own individual brand, but for the industry as a whole. If social networking shopping sites are not delivered in the spirit of what the customer wants, it will fail. If not for this point alone, brands need to pay attention to f-commerce as an example of how shopping can be integrated within a social network.

 

The Future of One-Stop Facebook Shopping

So let’s say you have a vacation coming up. You want to look for good rates on airline tickets. What’s the difference between logging onto an airline website vs. being able to research and purchase tickets inside of an already established social network? First, you may want to ask your friends what airline they flew on, how the service and food was, and what to watch out for. You might find that information on a travel site, but you may not be able to ask your friends their opinions.

 

So the point is that when you are on a regular e-commerce site you may be just getting the “take” from people you don’t actually know. This input is important, because you aren’t just trusting the brand’s marketing spin. You are getting the take of other human beings. But on a social networking site you are connected to your friends and your friends know you and the things you care about the most. You also might want to make plans with a group of people and instead of sending a bunch of e-mails, you might want one place for everyone who is going on the trip to chime in, to plan, and to orchestrate the festivities. Doing so could make coordinating lots of people easier and fuel the enthusiasm for the trip.

 

If you went the traditional route, you’d think about which airline you think you’d like to travel on. You might also think about your favorite travel site, knowing that there are a number of them that aggregate fares and try to provide the best possible deal. So you make your choice and log onto the airline or travel website.

 

Hopefully you’ve saved your log-in name on the computer you are on or you can remember it. It might depend on whether you’ve been to that site before or not. That might also depend on whether you have an account with them or not. If you can’t remember your log-in name then you have to either ask for a password reset or log in as a guest. The first option takes time. Not a lot of time, but it can “feel” like a hassle with all the sites and passwords we all have these days.

 

Once you’ve chosen that path, then you start your search for dates and times for your destination. Once you’ve researched that, you choose a flight and pay for it. Then there’s the step of entering the payment information. That entails your credit card or PayPal-type account information, your billing address and TSA information. If you are renting a hotel and/or a car, that same payment scenario might have to be repeated for each of those transactions unless it’s integrated.

 

In this short scenario, using Facebook could help to lessen the hassles of the travel transactions. With Facebook’s f-commerce tools, you could get the opinion of your friends about each travel item: airline, hotel, car rental, even restaurants in the area. Then you could just hit a Facebook button for each—either while on your laptop, desktop, tablet, or phone and be on your way.

 

Why? Because you are already logged into Facebook, and so have a community of like-minded people to help. Then, since your identity and payment details are already authenticated within Facebook, completing the transaction is as simple as pushing a few appropriate buttons.

If your business could take advantage of f-commerce to make your customer’s experience as quick and easy as possible, think about the spike in revenue you’d get.

 

Social Network Fatigue and Opting for F-commerce

The business decision to use Facebook as part of your e-commerce strategy depends on where you think your customers are going to be online. With more potential consumers on Facebook than there are people logging into eBay and Amazon combined, many companies are betting on the fact that once customers are in Facebook they won’t want to leave to shop. With the number of sites people log into each day, this may well be the trend of the future—meaning that people are starting to suffer from social network fatigue.

 

The reasons for this fatigue include how time consuming it is to log into a bunch of different sites as well as to remember your passwords. Another contributing factor is time allocation. One of the things that most people don’t talk about is the amount of time out of their life social networking takes. While it may be easier to keep in touch with more people and see what is happening with them via Facebook, Twitter, Google+, and LinkedIn, it does takes time out of one’s day.

 

Having too many social networks means that people may not want to go to a bunch of different sites or URLs. If people have the choice to log into one place to interact with their friends and family and then are required to go to other places to shop, they may opt to participate in a social network that includes not only their favorite brands, but also the ability to buy products and services from them.

 

How Facebook Could Provide Better CRM

Knowing who the people are and details about them allows Facebook to provide customers with an interesting and entertaining online experience, but also provides businesses with information on likes, dislikes, and preferences in the context of their personal and professional relationships. This is different than the data businesses have gathered from traditional Customer Relationship Management or CRM systems.

 

CRM is an acronym that stands for the relationships companies build with their customers during and through the process of marketing, sales, and service. Having social data augment the CRM system could constitute what many call social CRM. While there isn’t any one vendor that truly provides best-in-class social sales, social marketing, and social customer service all in one suite, the concept of combining social data with traditional CRM data could be the missing link to driving more customers through the marketing funnel and getting a return on investment for social media.

 

Facebook Social CRM
Social networking sites like Facebook have massive amounts of individual and social crowd data. That data means something because people have signed up using their real identity. In forums or other crowd-oriented communities, people sometimes remain anonymous. So one of the first advantages of f-commerce is that people are using their real identities.

 

In addition, Facebook started as a site to connect with other people and part of finding people to connect with is to see what they have in common other people. Most people who put up a Facebook page include some personal preference information. This initial data can be very important to companies in understanding their customer’s behavior through knowing about their hobbies, what they like in music, food, travel, and a wide variety of other interests.

 

Companies using Facebook as a marketplace not only have people who have identified themselves, but also user data and analytics that reveals what people talk about, and with the right analytics a business could extract even more data about them as potential customers.

 

Many businesses have just focused on using that data to display hyper-targeted ads. And while there is value for this, the idea that Facebook could be an online virtual mall where friends ask friends what to buy, share what they bought, and thereby influence word of mouth is a reality for many brands.

Like My Stuff_Guide To Facebook Commerce by @DrNatalie Petouhoff

Facebook’s Potential for One-to-One Marketing

One-to-one marketing has long been the dream of many marketers. In fact two of my favorite authors, Don Peppers and Martha Rogers, wrote several books about it, including The One-to-One Future: Building Relationships One Customer at a Time, and The One-to-One Fieldbook: The Complete Toolkit for Implementing a 1-to-1 Marketing Program. The theory was that with competition for customers fiercer than ever, with products and services only a mouse click away, with so many choices, and with many products becoming commodities, customers’ loyalty changed. As a result, the way a brand could attract and keep customers would be to personalize how they marketed and sold to a customer. That field of endeavor became known as one-to-one marketing.

 

While most brands bragged about how customer-centric they were, in reality many were at a loss for identifying and attracting a loyal and profitable customer base. CRM (Customer Relationship Management) systems back in the late 1990s were supposed to provide the infrastructure necessary to support one-to-one marketing. There was a lot of marketing hype around the features, functions, and benefits of CRM software.

 

The issue with CRM systems then was that they were more like a CTM, or customer transaction management system. They didn’t have all the rational database information that marketers could readily use to provide personalized relationship marketing and certainly not enough of the personalized, one-to-one marketing data.

 

Most companies implemented operational CRM, meaning they had a database of contact information about their customers. And that information definitely helped with marketing. But most companies didn’t deploy analytical CRM, meaning the type of CRM that would provide the analytical wisdom about your customers to enable one-to-one marketing and sales. Out of the frustration for the lack of that data developed the field of business intelligence or BI. Separate BI point vendors began to specialize in gathering and mining data about customers to be used to drive customers through the marketing funnel. An industry that was successful at this was the Las Vegas casino system. They developed loyalty programs that could measure the offers sent to customers and subsequent behaviors. Studying these patterns allowed marketers to direct their one-to-one marketing efforts very effectively. But most industries failed to excel in one-to-one marketing.

 

Fast forward to today, where we now have Web 2.0-type technologies that allow interactions between brands and customers. With the enhanced Facebook Open Graph API and supporting tools that it announced in April 2010, Facebook can be seen as a social CRM system. This is especially true if you define CRM as the opportunity to do personalized, one-to-one marketing, sales, and service. What has been missing in CRM is the relationship between the customer, their likes, dislikes, and their friends and family in a context where their reactions and comments are honest, authentic, and updated daily.

 

Facebook API: A Graph of What People Care About

Imagine that Facebook is a graphical representation of connections between people, photos, liking, sharing, commenting, shopping, and the interrelatedness between them and their friend and family relationships liking, sharing, commenting, and shopping. If you took a picture of each of those things and pasted it on a piece of poster board, you’d have a visual representation of that person’s life and what’s important to them as well as poster boards of their friends and families and what is important to each of them as well as the overlaps in interests. This is called a “social graph.”

 

Facebook offers businesses a way to connect to that information via an API. An API is an acronym for application programming interface. Instead of having to write a bunch of complicated code to connect to the data, you just have to connect to the API. The API provides a much simpler way to access the information.

 

The Facebook Open Graph API allows you to easily access all public information about a person. This means that it can retrieve the likes and interests of your customers, and your customer’s Facebook connections. And thus the social graph data provides marketers new ways to understand a customer’s preferences, passions, and connections and by doing so allows a brand to create a personalized experience with each and every customer.

For instance, a customer might live in Los Angeles, listen to Sting, work at Citibank, ride bikes along the Santa Monica Pier, eat at the Cheesecake Factory in Marina Del Rey as well as connect with their network of friends and family. With the Facebook Open Graph API, brands can make personalized offers to that individual based on the information he or she has shared on their page.

 

Deals that might interest this customer are mortgages or refinancing information from Citibank, coupons for free drinks at Cheesecake factory, a sale on bikes or bike accessories, and a special appearance by Sting on the Santa Monica Pier. With contextualized data like this, brands can customize their marketing campaigns based on the information customers share about themselves.

 

Another example is that a brand might show the upcoming birthdays of Facebook Friends as well as their gift Wish List. How would a brand populate this list? The brand can access that friend’s profile data, which might include a list of their favorite electronics, clothes, food, and music as gift suggestions. Normally, it would have to create a system that would ask the customer directly about their favorite items, then get permission to use this information. The Social Plug-ins, mentioned earlier in this chapter, allow a brand to build the social graph by seeing what the customer “Liked” on Facebook. That is assuming the customer opts to share this information publicly among their own individual group of friends. Brands seeking to use this information would need to ask the Facebook member to share this information with them as well.

 

The downfall to getting data is the individual Facebook privacy setting. Each Facebook page’s privacy settings are handled and decided upon by the customer who owns the page. Customers are asked to provide permission to allow their page to be seen by the brand. This determines who can see what. I’ve included some screenshots in the case studies in the following chapters so you can see how brands ask for permission to see what a customer is talking about.

Marketing Transformation Sales Marketing Innovation & Product-led Growth Next-Generation Customer Experience Tech Optimization Future of Work meta Marketing B2B B2C CX Customer Experience EX Employee Experience AI ML Generative AI Analytics Automation Cloud Digital Transformation Disruptive Technology Growth eCommerce Enterprise Software Next Gen Apps Social Customer Service Content Management Collaboration Machine Learning business SaaS PaaS CRM ERP Leadership Chief Marketing Officer

Best- And Worst-Performing Cloud Computing Stocks Feb. 10th To Feb. 14th And Year-to-Date

Best- And Worst-Performing Cloud Computing Stocks Feb. 10th To Feb. 14th And Year-to-Date

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cloud computing forecast update 2012The five highest performing cloud computing stocks year-to-date in the Cloud Computing Index are Akamai (NASDAQ: AKAM), F5 Networks (NASDAQ: FFIV), Juniper Networks (NYSE:JNPR), Fusion-IO (NYSE:FIO), Qualys (NASDAQ:QYLS) and Workday (NYSE:WDAY).  A $10K investment in Akamai on January 2nd of this year is worth $12,901 and $10K invested in F5 Networks is worth $12,509 as of market close yesterday.   IBM, Microsoft, Oracle and SAP share prices are included for comparison.

best performing YTD Feb 14

Akamai delivered better-than-respected results for their latest fiscal quarter and year, gaining $436M in revenues for fiscal Q4 and $1.578B for fiscal year.  Media Deliver Solutions revenue increased 19% year over year to $207.5M in revenue.  On their latest earnings call earlier this month, Akamai also says that traffic for gaming, social media, software and video downloads all continue to accelerate.  Support and Service revenues grew 36% year over year, reaching $36.3M in fiscal Q4, and Performance And Security revenue reached $192.2M, increasing 18% year over year.  Adjusted EBITDA for fiscal Q4 was $192M.

The following graphic compares how $10,000 invested on January 2nd of this year in the highest performing cloud computing stocks, in addition to IBM, Microsoft, Oracle and SAP are valued today.

total dollar value 10K feb 14 2014

Please see the full Cloud Computing Index for market caps, average volumes, 52-week high and low share prices, Earnings per Share, Price/Earnings Ratio, and Beta.  I am using the Google Finance Portfolio option to track the performance of these stocks.  For information on how this index was created, see the description at the end of this post.  I do not hold equity positions or work for any of the companies mentioned in this blog post or included in the Cloud Computing Index and this post is not meant to provide investment advice.  It is simply a glimpse into the performance of these company’s stock prices over time.  The following is this week’s Cloud Computing Index.

Cloud Computing Stock Index February 14

Best Performing Cloud Computing Stocks, February 10th to February 14th, 2014

Capturebest performing for the week feb 14

Worst Performing Cloud Computing Stocks, February 10th to February 14th, 2014

worst performing for the week feb 14

Best Performing Cloud Computing Stocks In 2014

best performing YTD Feb 14

Worst Performing Cloud Computing Stocks In 2014

worst performing YTD Feb 14

Comparing Cumulative Stock Performance Performance of the Cloud Computing Index over the last year is compared to NetSuite, Salesforce, IBM, Oracle and SAP is below. This index has been up 27.58% over the last year, with NetSuite (NYSE:N) up 63.84%, Salesforce (NYSE:CRM) up 43.50%, IBM (NYSE:IBM) down 8.59%, Oracle (NYSE:ORCL) up 9.10% and SAP (NYSE:SAP) up .14%. Please click on the graphic to expand for easier reading.

trending

Specifics on the Cloud Computing Stock Index I used The Cloud Times 100 as the basis of the index, selecting twenty companies all of which are publically traded.  The latest edition of the Cloud Computing Index is shown here.  The filter applied to these companies is that 50% or more of their revenues are generated from cloud-based applications, infrastructure and services

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