Results

Facebook Video Ads: What’s the ROI?

Facebook Video Ads: What’s the ROI?

With the variety of common products available, often customers want to learn how a product or service works before purchasing. With more and more buyers using mobile devices to shop, 4 out of 5 shoppers say a video showing how a product or service works is important in their decision to purchase or not purchase a product or service. In fact, shoppers report research on mobile devices with visual content helps inform their product selection. As a result, Marketers who use video grow revenue ~49% faster than non-video users. But if a brand is going to use video, understand that shoppers of shoppers expect a consistent set of visual content across desktop and mobile devices.

Where does Facebook come into this equation? Over 100 million hours of video per day are watched on Facebook. (Techcrunch) It is reported that shoppers who view video are 1.81 times more likely to purchase than non-viewers and more than half of the marketing professionals worldwide name video as the type of content with the best ROI.

With over 1.5 billion users, ~1 billion users visit Facebook on their mobile device, so brands considering must think mobile first. What sets Facebook apart from its competitors is its unique ability to harvest vast amounts of customer information to create custom audiences, generate leads and build brands. The advantage is that it’s all within a platform that is already known for its engagement opportunity.

Facebook also  rewards advertisers for shares with cheaper views, cheaper clicks, and more impressions. This combination leads to an overall better ROI. The net-net is that retailers & brands should be seriously considering video advertising because advertisers cite a 40 percent increase in purchases as a result of video – specifically in the categories of apparel, home goods, and electronics.

While there seem to be many advantages, some businesses are holding back on video advertising because they feel video is too hard to make, or doesn’t produce conversions the way other ads do. But video content does not need to be difficult to create. There are vendors that make it easy, like Animoto. And attribution to video ads is easier often than TV ads because of the digital footprint.

Brands should also use the analytics Facebook provides and make sure to not waste budget by not segmenting your audience. Segmenting audiences can be done by looking at jobs, life events, relationship status, purchasing behaviors and additional segmenting can be done beyond this, for example geo-location targeting. Without segmenting an audience, marketing risk wasting their ad budget on the wrong audience and not generate the conversions expected.

In addition, as in any advertising, it’s important to include a call-to-action. A call-to-action can be as simple as Book Now for travel, Learn More for addition features on a product, Contact us for more information or Shop Now to be taken to the actual online store or landing page or a click-to-call button. But be careful – a call-to-action without engagement can result in consumers feeling “pushed” vs “pulled” into taking action. Include special offers and time sensitive, last minute deal to motivate consumer to come to a store, call or click.

If Marketers use a click to call button, make sure the contact center is ready to take the calls and knows what the special offers are. Consumers seem to prefer to call than fill out a web form and call convert to revenue 10X more than web leads. That is only true if there is someone at the other end of the phone to take the call intelligently. This means Marketers must ensure the ad copy and landing pages are optimized to drive calls and that they can attribute calls and the outcome to the right ad campaign so you can do more of the right thing and optimize the video marketing.

Dr. Natalie Petouhoff, VP and Principal Analyst, Constellation Research

Covering Customer Facing Applications

Marketing Transformation Sales Marketing 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 Chief Marketing Officer

The IoT Market in 2017 – Identifying changes in the role of the Buyer and the Implementer resulting in changes in Propositions, Sales and Marketing

The IoT Market in 2017 – Identifying changes in the role of the Buyer and the Implementer resulting in changes in Propositions, Sales and Marketing

When briefing Analysts Microsoft illustrate their potential IoT market with a slide showing four major Industry sectors with up to fifteen different Line of Business Management roles in each. Every role is regarded as an actual, or potential, buyer of IoT solutions. Whilst this is undoubtedly true, for reasons covered later, it does imply having to be able to position and sell fifteen different IoT business solutions in any single Enterprise.

This may sound impossible yet almost identical slides have been shown in the past to illustrate how all roles across the Enterprise could benefit from Enterprise eMail adoption. Then some years later it become Internet /Web connectivity and functionality. In both cases, as with IoT, the initial argument for adoption was difficult due to a lack of individual benefit cases.

Think of it in terms of the difficult to sell early phones when numbers of connections were limited. In time Enterprises could not participate in business markets with out their employees having access to a phone. A similar path was followed with Internet connectivity and web adoption.

Traditional Enterprise business cases require a specific activity to be improved and see no specific Enterprise wide technology based capability adoption, such as email or Web connectivity as an increase in overheads. Recent history shows that adoption time frames are shortening for each technology wave. Though initially slow, the trigger point to Enterprise Business capability transformation is occurring sooner, and then the period to widespread adoption is very short.

The relentless spread in the number of Internet connected Devices capable of providing Business Intelligence renders it inevitably that every Enterprise will ultimately be driven to adopting IoT as a necessity to remain in business.

The current phase of selecting individual business deployments focused on a specific issue are merely commercially justifiable starting point for gaining experience. However at Enterprise Management level there should be involvement to ensure that these early individual Line of Business Managers deployment decisions will not become medium term issues due to a lack of strategic foresight.  

There is strong evidence from numerous sources, ranging from Social Sources to larger scale surveys that the cohesive management of IoT projects across the Enterprise has already become an issue.  A good example of a detailed report comes from the magazine Computing survey in May 2016 whose sample of responses of those who had carried out IoT projects was across multiple Industry sectors, and Enterprise sizes.

The following are two key points abstracted from the published report, but there are many significant direct quotes providing valuable insights that make reading the full report desirable.

To the question of the background of an IoT Project leader being better to be from IT Strategy (linked to Business strategy), or Data Analytics and Development, the split was respectively 53% for IT/Business Strategy versus 39% for the more Technology based skills. The remaining 8% rejected both options, or were undecided.

A similar question relating to a desirable background for the Project Leader being either Business, or Technology management produced a total lack of consensus! The respective split being 36% to Business versus 33% to Technology, but with an astonishing 31% feeling unable to answer the question!

Whilst those delivering an IoT project may not be totally reflective of those who are the initiators, or buyers, a reasonable conclusion is that there is a remarkable diversity in where, and for what, IoT is being deployed. For IoT vendors this is a huge challenge to the traditional sales process built on marketable ‘propositions’ directly aligned to readily identifiable Business Buyers and their requirements.

If the evidence is correct then it would seem that a shift from IT driven issues to IoT Line of Business buyers could turn the accepted IT sales process around case studies and outcomes on its head!

In the traditional Enterprise Application sales process the expectation is that the IT vendor better understands the balance between best business practice and most effective technology implication. This is particularly true in ERP where, over two decades implementation, the purchase moved from heavy customization of the ERP Applications in order to fit an Enterprises current practices; To the Enterprise adopting industry sector best practice as defined in the ERP Application and modifying their own procedures to make the alignment.

A core element in the role of IT has been to assist the Enterprise to centralization and standardize to reduce cost, yet Digital Business models all stress a reversal of this move towards various degrees of de-centralization to access more opportunities in the market. The philosophy to capture more of the Long Tail is to improve revenue creation by the use Digital Technology. Continuous innovation is stressed as a necessity, and emphasis is laid on the ‘Intrapreneurship’ of Line of Business managers.

For those new to the term the shortest definition of an Intrepreneur from Dictionary.com states; ‘an employee of a large corporation who is given freedom and financial support to create new products, services, systems, etc., and does not have to follow the corporation's usual routines or protocols’. There is an increasing amount of discussion on the topic including a useful article in Forbes defining the four essential qualities of an Intrapreneur.

The facts seem to point towards a link between the diversity of IoT buyers and deployments and innovative Digital Business initiatives. Line of Business managers are individually innovating around their deep personal experience to introduce competitively differentiated outcomes. If this is truly the case then the well developed IT sales methodology of packaging and selling complete solutions supported by case studies looks unworkable, as it would require the development of too many small solution offers.

 It will require either the market to mature around a contained number of Business requirements, or a different approach.

So what could be an alternative? Inbuilt into the traditional sales offerings is a reduction in the risk of adoption, both for the buyer and seller, through implementing a known solution. In an IoT deployment the risk factor becomes higher as the new technology is still in the early adopter phase, offerings that reduce risk will always be popular.  The ever-growing move towards using ‘Services’ certainly reduces the buyer’s risk. Conversely it increases the pressure on the vendor to determine flexible enough Service packages to ensure enough sales revenues to cover their commercial investment in building and operating Services.

Both vendor and buyer need common IoT solution frameworks that support standard architecture elements onto which individual unique and innovative requirements can be readily mapped. This is not ‘news’ to the IT vendors who are already introducing ‘templates’; unsurprisingly these are largely based on the IT business solution principle.

Is there a case for a bolder move that will accept that the Digital Economy built on IoT, Clouds, and soon including AI, calls for a different approach? If so what could the basic architecture propositions be based upon?

At the most basic level there are four readily identifiable business activities where IoT can add value by increasing the data available. In no particular order;

                                  People in relationship to their Activities; Service Engineers, Merchandisers, Sales and similar Activities.

Machines monitoring their operations for reliability, operating efficiencies, etc.

Process to gain near real time data to optimize and improve further process steps

Ecosystems for the interconnection of any and all of the above in Smart Services.

Using these four definitions it is noticeable that a high number of IoT market success reports f are grouped around these headings; Salesforce concentrates on People; GE on Machines; SAP on Process but who is the leader in the final category of Ecosystems? Microsoft, AWS and Google could all claim their presence in this sector. But is it really that simple?

Careful analytics of the reported wins suggests that either focus, or volume succeeds; The People, Machines and Process category case studies all show the in depth focus and inherent knowledge of the vendor in the Business activity.

Summary;

There are two distinct different markets with different Buyers, whose projects are different, and whose selection of a supplier and solution is therefore equally distinctly different. Vendors will need to make a substantial effort to identify and verify exact where their products and in house skills will serve them best.

Line of Business Managers require a Vendor with strong sector specialism/experience to act as a partner in developing an innovative idea.  Engagements may be driven by revenue creation activities in respect of the Digital Economy and Smart Services, or internal Operational Improvement, though in Utilities as an example, this is likely to mean external deployments. A strong factor will be the ability to provide ‘the final mile’ sensors/sensing and connectivity element, once again favoring the specialized vendor.

Individual Projects may be small, but the decision making, budgetary approval cycles will be fast, with an expected high business value outcome.

Initial engagements should form the basis for an ongoing team partnership with the development of methods and architecture that could form the basis for becoming an Enterprise level partnership embracing other Line of Business Managers.

IT Managers expect their existing IT Vendors, particular their Cloud Services providers, to be able to demonstrate how IoT will be an extension of the existing Enterprise IT strategy. The IT driven project is likely to be driven from the perspective of ‘Big Data’ and ‘Analytics’ with in-house IT expertise in these areas playing an important role. An existing Cloud Partner offering ‘template’ solutions, and able to introduce preferred partners for ‘the Final Mile’, or for integration, is the ideal.

Projects will have full Enterprise support and will go through the traditional sales/buying cycle required for this level of significant investment using cost justification as the major factor.

Cloud based partnerships are driven by cost and Service levels, but IoT brings a new set of dynamics to the existing IT use, and charging models, of Clouds. Both sellers and buyers will need to carefully their on going commercial relationship.

Enterprise Hybrid Adoption Models combining both types are the most likely outcome as the boundaries between both fluctuate in different sectors and Enterprise cultures. However both sellers and buyers will need to make clear decisions on exactly where, and how, they intend to develop in the 2017 IoT market, or they are likely to end the year with conflicting outcomes and a poor enterprise level success.

New C-Suite Data to Decisions Future of Work Innovation & Product-led Growth Tech Optimization

The More Digital We Become, The More Human Partnerships We Need

The More Digital We Become, The More Human Partnerships We Need

1

I’m preparing for the 50th Hawai’i International Conference on Systems Sciences and have taken the title of my contribution in a workshop there as the title for this post. As individuals, we need to “race with the machines.” However, at the organizational level, we need to create human partnerships as scaffolds for our broader digital relationships.

Greater Ties Across Organizations

For example, from my university perspective, I’m looking for tighter ties across universities, organizations, professional accreditation bodies, and job platforms. Hospitals may be looking for tighter ties across data repositories, governmental agencies, and search engine providers (great article about the rise and fall of Google Flu Trends). Digital connections will enable much of the trust and communication of these partnerships, but I’m left with these questions to pose to my colleagues at the conference:

  • Do the founding human partnerships evolve into digital platforms?
  • If so, how do we maintain needed agility in those platforms?
  • These relationships seem to be more than liaison or advisory roles -- but what are they?

New Roles and Relationships?

More broadly, and clearly from my particular perspective, our companies and universities need to create stronger partnerships to support the increased pace of change afforded by a more digital world. Quarterly meetings of advisory boards, using an example of academic programs, may not be enough. For universities to effectively, agilely, serve students and the organizations that employ university graduates, we may need new roles and relationships as I note above.

The participants of this HICSS workshop perhaps understand the digital/human connection better than most. Membership in ISSIP is a common connection for many of us in the workshop. ISSIP, The International Society of Service Innovation Professionals (pronounced iZip) is a professional association co-founded by IBM, Cisco, HP, and several Universities with a mission “to promote Service Innovation for our interconnected world.” We come together in ISSIP, and in this workshop, to take on complicated questions and then offer our home organizations suggestions supported by our combined research and experience.

Data on Digital Transformation

I’m expecting to see unique data on how our environments are becoming more digitally enabled and look forward to sharing it after the workshop. For example, Paul Mugge, Executive Director of the Center for Innovation Management Studies at North Carolina State University, will present results from their on-going research on how to accelerate the process of repositioning and reshaping organizations. (You are invited to participate in their research here.)

We may also hear how digital transformation is affecting jobs. We’ve seen that the only US job growth is in non-routine work (see image below). This points to the need for individual and organizational agility as we work to fine tune opportunities across education and work experience.

New Partnerships

But what I hope for most from this experienced, well-connected set of colleagues, is the creation of new human partnerships that will help our universities, businesses, and communities. These human partnerships, I expect, provide the agility we need for our organizations to execute on their goals in a more digital, nonroutine, world.

Please share examples of the partnerships you're seeing and/or participating in -- there is a Comment button below the figure. How are these partnerships deeper given specific digital shifts your organizations are making? 

 

 

Future of Work Chief Executive Officer

Davos17: Dynamic Leadership; A Responsive And Responsible Approach

Davos17: Dynamic Leadership; A Responsive And Responsible Approach

Media Name: 4xv3lqnanyc-joe-gardner.jpeg

Today's Leadership Models Fail To Address Responsive And Responsible Leadership

The World Economic Forum kicks off January 17th to 20th in Davos-Klosters, Switzerland. As the global theme for the annual meeting, responsive and responsible leadership begins a lofty conversation about the qualities required to bring generations together, create inclusiveness in growth opportunities, and to bridge cultural and economic divides. With the global system challenged by a confluence of political, economic, societal, technological, environmental, and legislative forces, executives seek leadership models that reflect this responsive and responsible paradigm. Moreover, the impact of technologies such as artificial intelligence and robotics on the future of work plays a key driving factor in the development of policies that address humanity in a digital age.

This macro pressure at the global scale impacts the business world from many fronts. In fact, the digital disruption organizations face from non-traditional competitors, emerging technologies, and new disruptive business models requires a different type of leadership to manage the pace of change required not only for survival, but also for cultural agility. Past models of leadership play a key role, yet the continual over and under emphasis of one type of leadership design and style no longer is relevant for the challenges ahead.

Dynamic Leadership Provides A Responsive And Responsible Framework For A World Of Digital Transformation

One solution is a dynamic leadership approach. By identifying the immutable core traits and modulating the balance in foundational attributes of leadership, executives can achieve a contextually right time approach. Immutable core traits must be mastered and cannot be neglected. Foundational attributes require more finesse and self-awareness of contextual relevance in balancing out responsive and responsible traits. This dynamic style of leadership allows a framework to balance out traits as needed to achieve the mission, goals, and objectives over a defined period of time.

Five Immutable Core Traits Never Change For Great Leaders

Integrity, inspiration, inclusiveness, authenticity, and transparency form the five immutable core traits of leadership. These immutable traits do not change with time or the business trends at hand. Great leaders hone and refine these traits as part of their development and incorporate these traits into their DNA (see Figure 1.)

Figure 1. Five Immutable Core Traits Never Change For Great Leaders

  1. Integrity. Leaders must have strong moral principles, demonstrate honesty, and uphold honor.
  2. Inspiration. Leaders must stimulate and draw folks towards ideas, concepts, and actions.
  3. Inclusiveness. Leaders must bring people together from different backgrounds and points of view to create equal opportunities.
  4. Authenticity. Leaders must reflect a genuineness in who they are and what they stand for.
  5. Transparency. Leaders must be accountable and provide clarity on decisions and actions

Seven Dimensions In The Art Of Leadership Require A Balance Of Fourteen Attributes

The art of leadership requires the balance and mastery of fourteen foundational attributes. Each of these 14 attributes on their own have often been used to simplify and describe traits of a great leader. For example, great generals have been known to be demanding. Leaders of freedom movements have been shown to be principled. However, other great leaders have won over folks by their compassion or have been known to be quite adaptive. As evident, this one dimensional approach to leadership often leads to imbalanced description of what it takes to succeed at that point of time and does not reflect the reality of the current or future environment. A more balanced or Yin-Yang approach segments attributes into responsible and responsive dimensions that consider decision making, demeanor, goals and objectives, policy and actions, motivational approach, performance expectations, and execution style. Responsible attributes include principled, focused, accountable, decisive, composed, demanding, and collectivism. Meanwhile, the responsive attributes include adaptive, aware, empathetic, pensive passionate, compassionate, and individualism. By taking a dynamic leadership approach, leaders can account for a more complex reality and attenuate an attribute as needed. These 7 dimensions of leadership include (see Figure 2.):

Figure 2. The Art of Leadership Requires Balancing Fourteen Attributes In Seven Dimensions

  1. Decision making. In the Decisive versus Pensive decision making process, are rapid and clear decisions more valued than a thoughtful methodology to decision making?
  2. Demeanor. For Composed versus Passionate demeanor, would a composed presence outweigh a passionate emotional manner?
  3. Goals and objectives. When thinking about Collective versus Individual goals and objectives, should a leader think about the larger group instead of the individual self-interest
  4. Policy and actions. In Principled versus Adaptive policy and actions, should leaders be lauded for staying the course or knowing when to make a shift?
  5. Motivational approach. Does a Demanding versus Compassionate motivational approach require leaders to push hard for more or will reaching out with more compassion result in better esprit de corps?
  6. Performance expectations. In Accountable versus Empathetic performance expectations, is a broad based policy and results driven style more important than a personalized approach to achievement?
  7. Execution style. In Focused versus Opportunistic Execution strategy, should we emphasize laser focus on a task or sentient situational awareness?

The Bottom Line: Digital Transformation Requires Dynamic Leadership For Success

As leaders converge at Davos, the call for responsive and responsible leadership will require a new way to approach the timeless topic of leadership. Instead of taking a classical binary or rigid approach, consider the 5 core traits and develop a balance of 14 foundational attributes as a guide to successful and sustainable dynamic leadership (see Figure 3). Success at the leadership level will translate into much broader organizational values and capabilities.

Figure 3. Why Digital Transformation Requires A Dynamic Leadership Model

Your POV.

Are you ready to begin your digital transformation journey? Do you have the right leadership framework? Would you like to join a network of other early adopters? Learn how non-digital organizations can disrupt digital businesses in the best-selling Harvard Business Review Press book Disrupting Digital. Join like minded folks at the Constellation Executive Network. 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 And Related Research

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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 -2017 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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A critique of Privacy by Design

A critique of Privacy by Design

Or Reorientating how engineers think about privacy.

This blog is extracted from my chapter Blending the practices of Privacy and Information Security to navigate Contemporary Data Protection Challenges in the forthcoming book "Trans-Atlantic Data Privacy Relations as a Challenge for Democracy", Kloza & Svantesson (editors).

One of the leading efforts to inculcate privacy into engineering practice has been the "Privacy by Design" movement, or "PbD". It's a set of guidelines developed in the 1990s by the then privacy commissioner of Ontario, Ann Cavoukian. The movement seeks to embed privacy "into the design specifications of technologies, business practices, and physical infrastructures". PbD is basically the same good idea as build in security, or build in quality, because retrofitting these things too late in the design lifecycle leads to higher costs* and compromised, sub-optimal outcomes.

Privacy by Design attempts to orientate technologists to privacy with a set of simple callings:

  1. Proactive not Reactive; Preventative not Remedial
  2. Privacy as the Default Setting
  3. Privacy Embedded into Design
  4. Full Functionality - Positive-Sum, not Zero-Sum
  5. End-to-End Security - Full Lifecycle Protection
  6. Visibility and Transparency - Keep it Open
  7. Respect for User Privacy - Keep it User-Centric.

PbD is a well-meaning effort, and yet its language comes from a culture quite different from engineering. PbD's maxims rework classic privacy principles without providing much that's tangible to working systems designers. The first three principles are common generalisations. No. 5 and no. 6 simply reword standard privacy principles of security and openness.  User centricity (No. 7) is problematic in the era of Big Data and the Internet of Things, where the vast majority of Personal Information is collected or synthesised behind our backs, beyond our control. "User centric" is hollow as a call to action.

PbD principle no. 4 exemplifies the most problematic aspect of Privacy by Design -- its idealism. Politically, PbD is partly a response to the cynicism of national security zealots and the like who tend to see privacy as quaint or threatening. Infamously, NSA security consultant Ed Giorgio was quoted in "The New Yorker" of 21 January 2008 as saying "privacy and security are a zero-sum game". Of course most privacy advocates (including me) find that proposition truly chilling. Privacy should not be traded mindlessly for security.  And yet PbD's response is frankly just too cute with its slogan that privacy is a "positive sum game".

The truth is privacy is full of contradictions and competing interests, and we ought not sugar coat it. For starters, the Collection Limitation principle - which I take to be the cornerstone of privacy - can contradict the security or legal instinct to always retain as much data as possible, in case it proves useful one day. Disclosure Limitation can conflict with usability, because Personal Information may become siloed for privacy's sake and less freely available to other applications. And above all, Use Limitation can restrict the revenue opportunities that digital entrepreneurs might otherwise see in all the raw material they are privileged to have gathered.

Now, by highlighting these tensions, I do not for a moment suggest that arbitrary interests should override privacy. But I do say it is naive to flatly assert that privacy can be maximised along with any other system objective. It is better that IT designers be made aware of the many trade-offs that privacy can entail, and that they be equipped to deal with real world compromises implied by privacy just as they do with other design requirements. For this is what engineering is all about: resolving conflicting requirements in real world systems.

So a more sophisticated approach than "Privacy by Design" is privacy engineering in which privacy can take its place within information systems design alongside all the other practical considerations that IT professionals weigh up everyday, including usability, security, efficiency, profitability, and cost.

See also my "Getting Started Guide: Privacy Engineering" from Constellation Research.

*Footnote

Not unrelatedly, I wonder if we should re-examine the claim that retrofitting privacy, security and/or quality after a system has been designed and realised leads to greater cost! Cold hard experience might suggest otherwise. Clearly, a great many organisations persist with bolting on these sorts of features late in the day -- or else advocates wouldn't have to keep telling them not to. And the Minimum Viable Product movement is almost a license to defer quality and other non-essential considerations. All businesses are cost conscious, right? So averaged across a great many projects over the long term, could it be that businesses have in fact settled on the most cost effective timing of security engineering, and it's not as politically correct as we'd like?!

Q3 2016 NextGen Apps Developments & Trends Shootout

Q3 2016 NextGen Apps Developments & Trends Shootout

By now you know the idea... Check out the Q1 (here) and Q2 (here) shootouts on Next Generation Applications. These quarters were won by Microsoft with Conversation as a Platform and Pivotal / Cloud Foundry.  


 
 

 
In case you wonder about the methodology - check out the above links, too - no need to repeat here.
 
And here is Q3 2016 - all related to NextGen Apps - the research area that covers when enterprises build new software - what are the use cases, the tools, the platforms, the players, the best practises etc. 
 
 
 
 
 
 
[Apologies - time to market forced me to play the bracket right to left.]
 

Round #1 Dropouts

 
  • Unit4 Business Prevero - 2016 was the year of predictive analytics morphing into Machine Learning, and for the aggressive messaging makers of the industry, into artificial intelligence. Unit4 did not miss out with the acquisition of prevero, strengthening the vendors BI and CPM capabilities (read here). But not a match to Dell's acquisition of EMC (read here).
       
  • AWS Enterprise Summit Frankfurt - AWS continues its progress around the world, and while interest and projects are high, in more conservative locations, like Frankfurt in Germany, enterprises were not comfortable to share their plans, status, projects on a keynote stage (more here). Box's move to AWS / the public cloud garnered more CxO attention and goes on (read here).
     
  • GE & Microsoft - It was also the year in which pretty all SaaS properties choose their IaaS partners. GE chose Azure in July, a good move by all vendors (read here). But compared to the massive announcement and progress of Oracle OpenWorld - not a fair match (read here).
     
  • Pivotal SpringOne - The Spring network gains more popularity again, never count anyone out in application development, certainly fostered also by the popularity of CloudFoundry (our Q2 winner - read here). Interesting to see what enterprises are building on SpringOne (read here). But compared to the many announcements and developments of the Microsoft Ignite conference not a match (read here).
     

Round #2 Dropouts

 
  • Box BoxWorks - BoxWorks was an impressive event - both from a Nextgen Apps perspective and Future of Work (see Q3 on Future of Work coming soon) - announcing new capabilities across the board (read here). But compared to the news of Dell Technology, the closure of the Dell / EMC deal not a close match (read here).
     
  • Microsoft Ignite - Ignite was a good event for Microsoft, where the vendor showed progress and made announcements across the board, in my view the FPGA Azure architecture stood out (read here). But compared to Oracle OpenWorld, where e.g. CTO Ellison announced nothing less than 18 substantial announcements, read here.
  

 

Q3 Finals - Oracle OpenWorld beats Dell Technology

Two key events for enterprise software, next generation applications in Q3 of 2016, with massive consequences for enterprises... more than 2/3 of enterprises have some sort of Dell / Oracle product / services in place. But while Dell merits kudos for the courage or the largest IT transaction ever (read here), the road forward is much less clear than for similar categorized vendor Oracle. Oracle is more advanced in its formulation of its future than Dell at the moment, and the massive R&D push coming our of the Redwood Shores headquartered company is impressive (read here). 
 
So congrats to Oracle to win the Q3 2016 next generation applications shootout. 
 
How would you have scored the Q3 2016 news? Please comment!
  
 
Here are all blog posts:
 
  • News Analysis - Unit4 acquires prevero; gets more strategic and intelligent - read here.
  • Event report - AWS Enterprise Summit 2016 Frankfurt - The German Road to Cloud adoption is ... long - read here.
  • News Analysis - GE and Microsoft partner to bring Predix to Azure - Multi-Cloud becomes tangible for IoT - read here.
  • Event Report - Cloud Foundry Summit Europe - Europe & Cloud - A long path - read here.
  • Event Report - Box BoxWorks - Box is on the run - now with a platform - read here.
  • First Take - Microsoft Ignite - AI, Adobe and FPGA [From the Fences] read here.
  • Market Move - Dell Technologies is here - 3 scenarios and a bonus perspective - read here.
  • First Take - Early Oracle OpenWorld 2016 Keynotes - read here.
 

 

 

Other Shootouts for 2016:
  • Q1 2016 Future of Work Developments & Trends Shootout - read here.
  • Q1 2016 NextGen Apps Development & Trends Shootout - read here.
  • Q2 2016 Future of Work Development & Trends Shootout - read here.
  • Q2 2016 NextGen Apps Developments & Trends Shootout - read here.
 
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.
New C-Suite Data to Decisions Innovation & Product-led Growth Revenue & Growth Effectiveness Tech Optimization Digital Safety, Privacy & Cybersecurity Future of Work Next-Generation Customer Experience unit4 box dell amazon Oracle Microsoft Leadership SaaS PaaS IaaS Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service AR Chief Information Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer Chief Executive Officer

Final 2016 Editor's Picks: Hit 2017 at a Sprint

Final 2016 Editor's Picks: Hit 2017 at a Sprint

 

2016 is the year of M&A not to mention disruptive technology developments and forays into this brave new world of AI, robotics, machine learning, virtual reality, blockchain technology, IoT, and significant digital transformation. You can explore our Constellation Insights to see the big stories that we covered in 2016 or to get set for 2017.

This is our final installment on 2016 editor's reading picks for leaders who want quick answers on what to expect next or even a couple gold nuggets from the year. Also, here's an interesting roundup of the 10 Best Books of 2016, especially #6 with The Industries of the Future, which likely touches on Constellation Research's predictions. 

Byte-Sized Analyses

What's New?

Constellation ShortList Pick: Constellation ShortListâ„¢ Digital Experience (DX) Integrated Platforms - R "Ray" Wang
New Research Pick: Recommendations for Successful Digital Transformation in 2017 - R "Ray" Wang

Finally, check out our 2017 CEN Member Chat Schedule led by our founder, Ray, who'll set the stage on big trends and the great expectations of 2017 on January 10th from 10-10:30am PT. If you're not yet a CEN Member but would like to join us, email [email protected].

Constellation Executive Network

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New Report: Why Artificial Intelligence Will Power the Future of Work

New Report: Why Artificial Intelligence Will Power the Future of Work

During the Fall of 2014 at Salesforce’s annual conference Dreamforce, I gave a presentation titled “From Clippy to JARVIS" where I explained how the next generation of software was going to assist people in getting their work done. Back then, terms like Artificial Intelligence (AI) and machine learning had not reached the massive level of hype that they are currently experiencing today. Instead, my presentation discussed topics like task automation, extracting insights, and providing recommendations. Since that presentation over two years ago, I’ve worked with dozens of enterprise software vendors, innovative new startups, and customers of Constellation on how AI can help their employees get work done. That work formed the foundation for my newest report, Why Artificial Intelligence Will Power the Future of Work.

This new report is intended for C-suite executives and Line of Business managers who want to understand why there is so much talk about AI these days, how it’s important to their businesses, the use-cases and benefits it can provide, and also prepare them for the challenges that the future of AI-enhanced software must overcome.

Below is a glance at what is contained in the report.

Table of Contents

  • Executive Summary
  • Artificial Intelligence Delivers a Game Changer to the Future of Work
  • AI-Enhanced Software Learns while Traditional Software Is Static
  • How Does a Machine Learn?
  • AI Requires Five Core Components for Success
  • AI Will Augment Humanity over Time
  • Expect AI to Rapidly Show Up in Applications
  • Where AI Helps People Get Work Done
  • AI Must Overcome Six Human Challenges
  • Recommendations
  • The Bottom Line


Executive Summary
Artificial intelligence (AI) has emerged as one of the most important trends affecting the future of work.  While the study of AI has been around for decades, advancements in computing power and access to huge data sets now bring AI capabilities closer to reality. Enterprise software vendors are working on new versions of their applications that use AI to help employees be more productive. For instance, these AI-enhanced programs can help bring to light important information, assist in expense reporting, automate content creation, and help connect the right people at the right time. This report serves as a Beginners Guide to AI, explaining some basic concepts and then providing examples of how AI-enhanced software can help employees get work done and augment humanity. Finally, Constellation provides recommendations on how organizations should prepare for artificial intelligence’s role in the future of work.


Constellation Research customers can purchase the full report, Why Artificial Intelligence Will Power the Future of Workby clicking here.   
 

Future of Work

Q2 2016 Future of Work Developments & Trends Shootout

Q2 2016 Future of Work Developments & Trends Shootout

By now you will be familiar with my year end development and trends shootout, this one is about Future of Work trends and developments in Q2 2016. If you missed the Q1 Future of Work post - it can be found here.



 

Here you go for Q1 2016 - all related to Future of Work - the research area that covers how, when, what and if we work, what and how we get paid, stay motivated and balance the work / life relationship. If you wonder on the process - all laid out in the Q1 post - read here.



 
 



 
[Apologies - time to market forced me to play the bracket right to left.]
 
 
Holger Mueller Enterprise Software Musings Constellation Research Microsoft Cornerstone Oracle SAP
 

Round #1 Dropouts

 
  • NGA HR - unshackled - NGA HR, the former NorthGate Arinso managed to renegotiate and shed itself of substantial debt, expecting a brighter future for the 'All Things HR' specialist - with a focus on Global HR BPO (read more here). Not enough to trump the Microsoft Hololens, but this was a match-up of non equals both in vendor size and announcement category (read here).
     
  • Equifax EFX Forum - Another got event for the compliance specialist, one of the few vendors who can solve one of the top concerns of CxOs, compliance, with a Compliance as a Service (CaaS) offering (more here). But Cornerstone adding to its HCM automaton portfolio with adding HR Core capabilities had more impact (read here).
     
  • SAP SuccessFactors Analyst Summit - SuccessFactors found a way forward, to lift all products with common horizontal and platform plans. Very important to consolidate the mixed acquisition history, and very welcome by customers and prospects (read here). But sparred against one of the biggest acquisitions in enterprise history, a clear win for Microsoft (read here).
     
  • HireVue Digital Disruption - HireVue keeps innovating in the area of video recruiting and Talent Acquisition overall (read here). Good progress and an interesting foray into the (bigger) coaching market - but no competition to the sheer breadth of announcements and progress made by Oracle at HCM World (read here).
 

Round #2 Dropouts

 
  • Microsoft Hololens - Much progress made by Microsoft Hololens in 2016, we had a chance to build a mini applicaiton during the developer conference Build in San Francisco (read here).The mixed reality vision is compelling - now Microsoft needs to convicne developers to build the apps for Hololens. More immediate impact by Cornerstone, and more direct talk of people leaders (read here). 
     
  • Oracle HCM World - A broad push around the core was the key strategy and announcement trail at HCM World, with Helpdesk, Learning and more Work / Life offerings (read here). But more impact happened from the Microsoft and LinkedIn tie in (read here). 
  

 

Q1 Finals - Microsoft / LInkedIn wins over Cornerstone

While Cornerstone portfolio enhancement move remains impressive (read here), the acqusition of LinkedIn by Microsoft garnered even more interest. Not a fair match-up - but it all happened in Q2. More questions than answers specifically on the HCM side, but Microsoft probably acquired a Top 3 HCM vendor with LinkedIn - without mentioning it (more here and here). Congrats to Microsoft / LinkedIn to making it to the 2016 finals!
 
How would you have scored the Q1 2016 news? Please comment!
  
 
Here are all blog posts:
  • Progress Report - NGA HR with new HR service offerings - unshackled read here.
  • Event Report - Equifax EFXForum16 Good progress and CaaS looming - read here.
  • Progress Report - SAP SuccessFactors makes good progress - now needs appeal beyond SAP - read here.
  • Event Report - HireVue Digital Disruption 2016 - More Recruiing and now... Coaching - read here.
  • Musings - Will Microsoft's Hololens transform the Future of Work? Read here.
  • Event Report - Oracle HCM World - Innovation around the Core - read here.
  • Progress Report - Cornerstone Convergence - HR Core debut, lot's of product, time to execute! Read here.
  • Market Move - Microsoft acquired Linked - Tons of synergies, start with Cortana, maybe too many - read here.
Other Shootouts for 2016:
  • Q2 Q2 2016 NextGen Apps Developments & Trends Shootout - read here.
  • Q1 2016 NextGen Apps Development & Trends Shootout - read here.
  • Q2 2016 Future of Work Development & Trends Shootout - read here.

Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.
New C-Suite Data to Decisions Innovation & Product-led Growth Revenue & Growth Effectiveness Future of Work Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity Tech Optimization SuccessFactors SAP Oracle Microsoft Leadership AR Chief Technology Officer Chief Information Officer Chief Information Security Officer Chief Data Officer

Q2 2016 NextGen Apps Developments & Trends Shootout

Q2 2016 NextGen Apps Developments & Trends Shootout

By now you know the idea I had to square off the top news and developments of each quarter of 2016 in playoff / bracket format...  I started with NextGen Apps for Q1 2016 (won by Microsoft with its Conversation as a Platform (CaaP) launch - take a look here and Future of Work Q1 2016 - won by Ceridian with its overall suite wide push and next generation capabilities, read here


 
 

 
Of course this is a personal exercise - anyone can come to an different result - here is what I did: I picked the top 8 events, news, acquisitions, conferences, analyst events etc. of the quarter, they had to have a blog post published by yours truly. Threw them in a bucket, draw them and then had them 'play' out the bracket... based on what myPOV was in regards of enterprise relevance and impact for our clients, the CxOs, with special weight to people leaders out there. Needless to say - some where easier, some harder. 
 
Here you go for Q2 2016 - all related to NextGen Apps - the research area that covers when enterprises build new software - what are the use cases, the tools, the platforms, the players, the best practises etc. 
 
 
 
 
[Apologies - time to market forced me to play the bracket right to left.]
 

Round #1 Dropouts

 
  • Unit4 Business World On - A complete, start from scratch, built on next gen capabilities that technology offers, ERP package was launched by Unit4. Runs on IaaS, uses BigData and Machine Learning, includes an assistant etc. (read more here). Unfortunately squared against CloudFoundry, which has seen broad adoption and mind-share amongst CxOs in 2016 (read here).
       
  • AWS in India - Few locations, maybe Germany, have garnered more anticipation and interest for AWS opening up a location for its IaaS services than the one in India (read here). Unfortunately the draw squared it against another big AWS announcement, the joint statement of both Salesforce and AWS of making AWS its production IaaS. Both are important for AWS, but getting load leads to opening locations, so the partnership wins this one (read here).
     
  • OpenStack Summit - What used to be the tangible, widely adopted alternative to public IaaS, OpenStack, showed signs of weakening at OpenStack Summit in Austin (read here), where no commercial company talked about usage in the keynote (ISVs and Telcos where there in force). SAP choosing Azure as the (or one? Not clear yet today.) IaaS partner for production loads eclipses this easily. (see here).
     
  • Infosys Confluence - Infosys laid down its vision on how enterprises will operate in the future, but most impressively laying out its vision on how to disrupt its own business for the better with Mana (read here). But Google I/O was a tough opponent and wins this round (see here).
     

Round #2 Dropouts

 
  • Salesforce and AWS - While an impressive partnership - that will show further announcements in the year (stay tuned, think foliage), it did resonate in the Salesforce ecosystem only (read here), but the CloudFoundry victory lap continued strong in 2016, dominating both CxO conversations and plans as well as IVS and IaaS uptake, read here (read here).
     
  • Google I/O - Google staged its yearly developer conference in Mountain View this time and it was loaded with announcements, mainly in Machine Learning (by now everyone said AI), VR / AR, Assistants and much more (read here). But the SAP / Microsoft partnership garnered more, probably immediate enterprise attention and squares the #1 enterprise load in the direction of the #2 IaaS vendor, read here.
  

 

Q2 Finals - CloudFoundry beats Microsoft Azure getting SAP load

Two key evens in Q2 2016, both operating at different levels of the stack. The Microsoft / SAP partnership on attracting load for Azure on the IaaS level, also marking (the not confirmed) end of SAP's in house IaaS ambition (read here). CloudFoundry is squarely on a PaaS level, with load portability across IaaS being one of the major reasons to attract enterprises (read here). Even if they may never move loads across IaaS - they still remain very attracted to the topic, trying to avoid the dreaded lock-in. Apps beat IaaS here, so congrats to CloudFoundry to win the Q2 Finals of 2016 in the NextGen Apps category. See you in the Finals. 
 
How would you have scored the Q2 2016 news? Please comment!
  
 
Here are all blog posts:
  •  
  • News Analysis - Unit4 announces Business World On – A modern ERP offering - read here.
  • News Analysis - Amazon Web Services Cloud now speaks… Hindi - Indian AWS Data Centers available - read here.
  • Event Report - OpenStack Summit 2016 - Austin - OpenStack matures - read here.
  • Event Report - Infosys Confluence - The Future Watch is Software + People - read here.
  • News Analysis - Salesforce selects AWS as preferred Public Cloud Infrastructure Provider - Good move - read here.
  • Event Report - Google I/O 2016 - Android N soon, Google assistant sooner and VR / AR later - read here.
  • News Analysis - SAP and Microsoft usher in new era of partnership to accelerate digital transformation in the cloud - read here.
  • Event Report - Cloud Foundry Cloud Foundry Summit - It's good to be king of PaaS - read here.
 
Other Shootouts for 2016:
  • Q1 2016 NextGen Apps Development & Trends Shootout - read here.
  • Q2 2016 Future of Work Development & Trends Shootout - read here.
 
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here.
Tech Optimization Innovation & Product-led Growth Data to Decisions Future of Work Digital Safety, Privacy & Cybersecurity New C-Suite unit4 infosys Google salesforce amazon SAP Microsoft SaaS PaaS IaaS Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service AR Chief Information Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer Chief Digital Officer Chief Analytics Officer Chief Executive Officer Chief Operating Officer