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Category: Web as Platform

November 18th, 2009

Salesforce Chatter: Social operating systems emerge on the IT stage

Posted by Dion Hinchcliffe @ 2:33 pm

Categories: Blogs, Business Models, Cloud computing, Collaboration, Community, Enterprise 2.0, Enterprise Web 2.0, Products, SaaS, Social Computing, Social Economy, Social Media, Social Networking, Social Software, Social media, Web 2.0, Web 2.0 Platforms, Web as Platform

Tags: Salesforce.com Inc., Facebook, Information Technology, Operating System, Environment, Chatter, Status Update, Groups, Sales Force Management, Social Networking

The next big shift: Intranets, portals, and software suites that are the integrating force of the social fabric for our organizations. This morning’s announcement here at Dreamforce today from Salesforce of Chatter, an enterprise-class realization of Facebook and Twitter, is further evidence of the industry’s push for social Web capabilities for business activities.

Early indications are that Chatter will drive conversation and attention on this subject in enterprise circles very much like Google Wave did for consumer circles (as well as some businesses.)

Of course, a central question is — given current economic challenges for example — whether this is what the enterprise world is really looking for right now. However, as I’ve covered here throughout the year, enterprise social computing has been coming into its own as a significant component of modern business software for a number of reasons lately.

So while adoption numbers vary, it’s an increasingly smart bet that not only are social applications moving into the enterprise, but that existing business applications will begin to get more and more social features.

Social Operating Systems and Enterprise 2.0 Adaptation

I often cite Reed’s Law as compelling evidence that social systems have a strong innate tendency to create more value that non-social systems. The message: Social business applications are just a more effective model in general for building business value. However announcements like Chatter begin to make this argument less important. That’s because it’s built right into the Salesforce platform and according to Sam Diaz “will be included in all paid editions of Salesforce CRM and Force.com.” In other words, the argument is essentially over when social computing becomes baked into the infrastructure of the enterprise.

This will allow the 135,000+ existing apps built on Force.com to have a unified social environment complete with security and one common social graph as well as consistent, shared collaboration features. This is a major step up from the traditional world of non-social business software, all the more so because it’s as much of an infrastructure play as an application play. A comparable response would be to make Microsoft Office more social or perhaps more accurately, the fundamental Google Apps infrastructure. It’s also arguable that the new Microsoft SharePoint 2010 is just such a move (creating an enterprise-wide social environment that’s also an app platform) that’s just not as clearly communicated.

In the end there’s a lot to be said — particularly in the sometimes uncertain realm of enterprise social computing — about having a secure solution that works across your application environment and is easy to integrate into your existing applications and user environments. And while the Salesforce ecosystem is far from a consistent application environment for most enterprises, which are a complex landscape of legacy systems from dozens of vendors, it highlights the next big shift: Intranets, portals, and software suites that are the integrating force of the social fabric for our organizations.

Chatter is a solid example of

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October 25th, 2009

Are the iPhone and social networks making the classic Web and intranet obsolete?

Posted by Dion Hinchcliffe @ 3:25 pm

Categories: Business Models, Cloud computing, Customer Self-Service, Enterprise Web 2.0, Mashups, Open APIs, Radical Decentralization, Rich Internet Applications (RIA), Right To Remix, SaaS, Social Computing, Social Media, Social Networking, The Social Graph, Web 2.0, Web 2.0 Platforms, Web as Platform

Tags: Apple iPhone, Network, Information Technology, Social Networking, Smart Phones, Online Communications, Marketing, Advertising & Promotion, Consumer Electronics, Personal Technology

Many as-yet-unforeseen new developments will create enormous societal, cultural, and business opportunities over the next decade, just as long as we don’t make irreversible decisions down the wrong path. There’s been an important and relatively sudden change taking place over the last couple of years in the way that we interact with the Web. While direct access or search activity has been (and still is) the most common way that we access the content and applications of the Web, new ways have been rapidly growing and competing with how we work online, both at home and at work.

Thus these new models, exemplified by social networking sites like Facebook or mobile apps on platforms like the iPhone, Palm’s new webOS, and Android, will ultimately herald a change in the way that we work with our IT systems in the enterprise.

The once relatively unified world of the Internet, with a few major top-level types of access directly connected to it (browser, e-mail, IRC client, newsreader, etc.) and a few key sub-apps such as search that virtually everyone online used have been extended — as well as fragmented — into popular new channels into which users are now rapidly moving en masse.

That’s not to say that direct usage of the Internet (loading up and using sites and apps via the traditional Web browser) is going away. It’s still far and away the most common way to interact with the Web today and will likely be that way for quite some time, if not forever.

But real shifts in both online platform alternatives and in the mobile market are beginning to usher in foundational new usage patterns by users. These new channels — of which the latest generation of mobile apps and social networking platforms, which are often tightly integrated with the Web but are not truly one with it, are just the two biggest examples — demonstrate what is probably a generational transformation of the vital border between us and the Internet.

And this is the crux of the point: Where the point of user attention and interaction resides and who controls it is one of the most important conversations between us and our “preferred intermediaries”, a fancy term for who we like to work with to interact with the Web. This in turn has significant implications for enterprise intranets, our often clunky yet essential local “Web” in our organizations.

Why are these changes happening? There are at least two major reasons:

The first is that user attention on the Web has been moving to social networks, best exhibited by Facebook, which has been the single largest gainer of online usage in the last 3 years, over all other applications. Even e-mail has been eclipsed in many markets and only search remains more dominant. Social networks, which are platforms in their own right — just like the Web, but also have touchpoints well outside of it — have come into their own as competing yet codependent platforms that sprawl across the Internet, telecommunications infrastructure, mobile devices, and desktop computers.

The second reason is

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October 5th, 2009

Twenty-two power laws of the emerging social economy

Posted by Dion Hinchcliffe @ 1:41 pm

Categories: Architecture of Participation, Business Models, Cloud computing, Collaboration, Collective Intelligence, Community, Community Management, Cost-effective scalability, Crowdsourcing, Customer Community, Customer Self-Service, Design Patterns, Enterprise 2.0, Enterprise Web 2.0, Grassroots Community, Innovation marketplace, Network effects, Social Computing, Social Economy, Social Media, Social Networking, Social Software, The Long Tail, Two-Way Web, User Generated Content, Web 2.0, Web 2.0 Platforms, Web as Platform

Tags: Web, Knowledge, Information Technology, Knowledge Economy, Amara, Strategy, Web 2.0, Management, Internet, Dion Hinchcliffe

Traditional measures of business success are becoming less and less important.There is a time for big picture thinking and there is a time for details in business and IT, the latter which make business and technical strategy a reality and the former which provides needed direction and focus.

Highlighting the big picture side last week we saw Steve Ballmer’s exploration of the efficiencies he believes are being driven by something he calls “the new normal”. In this view, he tries to frame up how a reset of economic expectations during the downturn has created an environment that is putting pressure on business to do more with less, affecting IT at least as much as the rest of the organization, if not more.

We’ve seen also seen similar and broader variations on this theme this year, such as John Hagel’s capable attempt to define the “Big Shifts” in business taking place in this century. Just recently McKinsey published a similar reported titled The 10 Trends You Have to Watch: And What They Mean For IT in the Harvard Business Journal (summary is by Gartner).

The Emerging Knowledge Economy and Social Economy

If we factor out the commonalities in these views, it highlights a core set of strategic trends in IT and business in 2009, namely:

  • New resource constraints. Today’s new economic baselines (the downturn, green business, etc) are requiring that we find ways to accomplish our goals using fewer resources. This includes identifying the means to capture opportunity and transform “in process” business activities using newer, more efficient models. Business leaders will need to effectively link IT and business much more so than in the past to accomplish the movement to this new baseline. This also doesn’t mean everything is constrained. As we’ll see on the technology side, abundance is being produced that may address shortcomings in the business side.
  • Value shifting from transactions to relationships. This is the growing realization that the traditional rote business transaction as the core source of organizational value is diminishing and value is now coming from relationship dynamics. This has many implications including using new management methods (example: from top down command-and-control to community curator and facilitator), tapping into new reservoirs of innovation, adopting new ways of interacting with customers, or driving better tacit interactions. Web 2.0 and social computing will be key enablers of this for business units and IT organizations that want increased relevance.
  • Industries in flux with new ones emerging. Previously stable industries such as finance and media are feeling the pinch the strongest, but most others are as well. The recession is creating a bigger gap between healthy and unhealthy businesses while many industries are being unbundled or transformed into new ones (traditional software companies moving to SaaS and cloud computing for example or the rise of crowdsourcing competing with outsourcing at the low end.) Again, today’s dynamic Web-driven global knowledge flows and agile online models for computing and collaboration — as well as economic and intellectual production — are now a significant change agent.
  • Moving from change as the exception to change as the norm. Today we’re seeing faster consumer behavior shifts, quicker pricing changes, more rapid product cycles, and faster media feedback loops. While this can also lead to more extreme market conditions, it also enables opportunities to be turned into bottom-line impact for organizations that can adapt to market realities quickly enough. The network is the culprit (and solution) for much of this again: We now have pervasive social media instantly transmitting and shaping cultural phenomenon and faster financial cause-and-effect in the markets, real-time online markets, and so on. In the 21st century, following a plan is increasingly less important than responding actively and effectively to change.
  • A shift of control to the edge of organizations. This has been predicted at least as far back as the Cluetrain Manifesto, if not farther. It’s not even really a shift, it’s more like the addition of a new dimension to how we operate organizationally, something I’ve referred to previously as “social business.” This new addition changes the dynamics of where useful information comes from, how decisions are made, and how more autonomy and self-organization will be needed (and tolerated) in modern organizations to meet more dynamic and changing global marketplace.

As I explored recently in “How the Web OS has begun to reshape IT and business”, today’s Internet has become a central driver of how we do things today. It’s the richest marketplace that

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September 24th, 2009

Creating a unified model for enterprise mashups

Posted by Dion Hinchcliffe @ 2:43 pm

Categories: Design Patterns, Encouraging Unintended Uses, Enterprise Mashups, Enterprise Web 2.0, Global SOA, Lightweight Service Models, Mashups, Open APIs, REST, Right To Remix, SOA, SOAP, SaaS, Situational Software, Small Pieces, Loosely Joined, WS-*, Web 2.0, Web 2.0 Platforms, Web as Platform, Web services

Tags: Enterprise Mashup, Runtime, Mashup, JackBe, EMML, Collaboration, Dion Hinchcliffe

A unified mashup model can increase software quality, lower IT costs, and directly drive choice and innovation. I’ve written here over the years about software mashups; simple combinations of pieces of the Web that are rearranged into new useful forms. I’ve even called the approach a key to the future of software development. While mashups in the enterprise have been reasonably successful up until now — about a third of enterprises have them today — there have been challenges in enabling the same level of wide use and benefits that are currently evident on the open Web.

Fortunately, this may be about to change. Today marks the introduction of an effort by the new Open Mashup Alliance (OMA), a federation of interested parties in the mashup space that want to bring the benefits of standardization, consistency, interoperability, and a real marketplace to the world of enterprise mashups. The initial participants include a wide range of firms such as Adobe, CapGemini, HP, Intel, JackBe, Kapow, Programmable Web, Synteractive, and Xignite. Disclaimer: My company is also a founding member organization of the OMA. Note that anyone can become an OMA member, either as a company or a user and the principles of the organization are open and egalitarian.

Related: Joe McKendrick’s Enterprise mashup proponents start organizing.

What makes OMA especially interesting from my perspective is that it’s much more than a “high concept” strategic effort that will one day put forth specifications or technology that may or may not be useful to enterprises for creating mashups. Instead OMA sponsor JackBe, one of the world’s top enterprise mashups vendors, has generously contributed their existing and proven enterprise mashups model — known as the Enterprise Mashup Markup Language — along with a fully working reference implementation of an EMML runtime, as well as 50 working mashups.

Thus EMML exists fully today as one of the more mature enterprise mashup specifications available. It is robust, mature (it has been supporting production applications for several years), and now it is open for anyone to use via a Creative Commons license. And given JackBe’s technology roots in the Java community — their CTO is the respected John Crupi of Core J2EE patterns and Sun fame — it is free of proprietary technologies and formats. EMML also brings the leverage, speed, and power of domain-specific languages to the table as well.

Enterprise mashups and EMML

The result is an open enterprise mashup specification and runtime model using familiar standards and/or community technologies such as XML, XPath, XQuery, SQL, JavaScript, and JRuby. Using the EMML reference guide, anyone can now create an EMML-compliant mashup runtime. This also means any EMML-based mashup is able to run inside any EMML-compliant runtime. The resulting mashups — because they are built with an open, interoperable specification — can now be published, shared, reused, and if applicable sold in a larger, standardized market. This creates the possibilities of a real enterprise mashup ecosystem and marketplace that wouldn’t happen of its own accord. The potential is not inconsiderable given that so far the enterprise mashups industry, lacking a consistent model (outside the browser itself, see below for further details) has been fragmented into a story of multiple competing vendors and technologies. This included IBM (Mashup Center), Serena (Mashup Composer), JackBe (Presto), and many others.

I’ve personally examined EMML and can attest that it’s a clean powerful design that includes potent capabilities such as declarative data transformation, advanced procedural logic, parallelism, meta-data and much more. That’s not to say more can’t or won’t be done to extend and evolve EMML but it’s a credible start to create a consistent model and runtime artifacts for the design and operation of enterprise mashups across all the vendors that support it. At its core, however, EMML and its runtime is essentially an enterprise-class version of Yahoo Pipes.

While it’s also true that today’s announcement will certainly not hurt JackBe as the top provider of EMML tools today, I also know — based on my conversations with them lately and over the years — that 1) they are a startup company that is volunteering the output of their hard work and is unlikely to vault to market domination on this basis alone and 2) that they believe this effort is one of the best practical ways to help enterprise mashups gain critical mass and that 3) the benefit to them is by improving the conditions of the enterprise mashups industry as a whole. At least that’s my perspective.

Ultimately, the OMA creates a standardized approach to enterprise mashups that creates an open and vibrant market for competing runtimes, mashups, and an array of important aftermarket services such as development/testing tools, management and administration appliances, governance frameworks, education, professional services, and so on. Creating an ecosystem like this is only possible when the mashup industry is focused on heading in the same general direction instead of competing over individual technologies (notably, this is one of the reasons the Web works so well).

Enough of the mashup development and runtime process is left open with EMML that there is also plenty of room for differentiation. While EMML will indeed level the playing field, vendors also have plenty of room around the edges to offer additional capabilities for EMML-based environments including visual designer tools/IDEs, modeling systems, administration consoles, portfolio management systems, and so on.

In the larger view, there has always been the tantalizing possibility for

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September 9th, 2009

Government 2.0: A tale of "risk, control, and trust"

Posted by Dion Hinchcliffe @ 10:55 am

Categories: Blogs, Business Models, Collaboration, Community, Crowdsourcing, Customer Community, Enterprise 2.0, Enterprise Web 2.0, Enterprise Wikis, Government 2.0, Network Effects, Open APIs, Social Computing, Social Media, Social Networking, Social Software, Web 2.0, Web 2.0 Platforms, Web as Platform, Wikis

Tags: Web, Environment, Social Computing, Tool, Communication Line, A-Space, Government, Productivity, Vertical Industries, Dion Hinchcliffe

Yesterday in downtown Washington DC I was fortunate to be able to attend two important Government 2.0 events: the LMI Executive Forum on Mission 2.0 and O’Reilly/TechWeb’s Government 2.0 Expo. Both of these events highlighted the benefits as well as the challenges of improving the way the government does so much of what it does today.

Self-organizing and self-directed behavior is much more likely in the government of the near-future.

Social collaboration, information sharing, and open data were broad themes extensively explored and certainly championed by many at both events, admittedly myself one of them. Cautious optimism was apparent in the participants as there seems to be a broadening consensus that there will be striking changes in government over the next few years. This optimism was occasionally overshadowed in many discussions by the recurrence of issues such as the challenges that bureaucracy poses to progress including HR, policy, reward systems, and management motivations. Especially evident were worries about the classic issues of hierarchical management which LMI Executive Forum participant Mark Oehlert summarized smartly in three broad themes: “Risk, control, and trust.

The interest, however, in improving government through the innovative use of the latest Web 2.0 approaches and tools is at the moment reaching nearly a fever pitch in the public sector, at least in the nation’s capital. Throughout the summer and fall there have been events and meetups around the Washington DC area exploring how social computing, Enterprise 2.0, agile integration, and data sharing between agencies in the federal government can achieve many of the goals for next-generation government that those, including national CIO Vivek Kundra, have been expounding in recent months.

Government 2.0 Challenges: Risk, Control, Trust

A lot of this recent interest has been spurred by a new administration, particularly President Barack Obama’s early moves this year, and the issuance in particular of the Memorandum for the Heads of Executive Departments and Agencies on Transparency and Open Government. In this document, Obama says that:

Government should be collaborative. Collaboration actively engages Americans in the work of their Government. Executive departments and agencies should use innovative tools, methods, and systems to cooperate among themselves, across all levels of Government, and with nonprofit organizations, businesses, and individuals in the private sector.

While orders and memoranda are issued all the time in government, often without substantial impact, the broad influence of social computing these days, both in the consumer space as well as the enterprise, has made social systems one of the top approaches of interest when it comes to open government initiatives this year, as we’ll see from the discussions yesterday.

Exploring Mission 2.0: An emerging subset of Government 2.0

The LMI Executive Forum yesterday was attended by senior members of various government agencies including the CIA, DNI, and the DoD. The attendees, including myself as a guest, discussed at length social computing in the federal workplace, in particular the more secure, mission-oriented environments such as the intelligence community. The use of Web 2.0 tools in this environment can be called Mission 2.0.

A number of key points came out of the discussion that highlight the differences between private sector use of Web 2.0 approaches and their realization in a so-called Mission 2.0 environment. In particular is

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September 6th, 2009

How the Web OS has begun to reshape IT and business

Posted by Dion Hinchcliffe @ 9:01 am

Categories: Architecture of Participation, Business Models, Cloud computing, Collective Intelligence, Community, Convergence, Cost-effective scalability, Crowdsourcing, Design Patterns, Encouraging Unintended Uses, Enterprise Web 2.0, Identity, Innovation marketplace, Network Effects, Open APIs, Radical Decentralization, Right To Remix, SOA, SaaS, Small Pieces, Loosely Joined, Social Computing, Social Software, Two-Way Web, User Generated Content, Web 2.0, Web 2.0 Platforms, Web as Platform, Web-Oriented Architecture (WOA), openid

Tags: Web, Information Technology, Crowdsourcing, Web OS, Channel Management, Marketing, Dion Hinchcliffe

These days in the halls of IT departments around the world there is a growing realization that the next wave of outsourcing, things like cloud computing and crowdsourcing, are going to require responses that will forever change the trajectory of their current relationship with the business, or finally cause them to be relegated as a primarily administrative, keep-the-lights-on function.

IT is going to either have to get more strategic to the business or get out of the way. Businesses too must grow a Web DNA. The proximal cause of this seems to be the growing domination of the global network that surrounds all businesses today: The Web. If you’ve read my writings here since 2006 you largely know what’s happening: Today’s highly evolved Web has grown far beyond its original roots in content distribution and communication. It has become a fully fledged platform for media (TV, movies, music, newspapers, gaming, etc. have been strongly disrupted by the Web and now largely reside there) as well as more strategic pursuits. Probably most significantly is computing in all its many forms. This ranges from low-level services such as raw compute power and storage to social computing, semantics, and collective intelligence.

But the advent of a Web OS is certainly not just an IT story. It’s also — and really mostly — a business story. Those who are trying to track the so-called “big shifts” in the 21st century, thinkers like John Hagel, are attempting to pin down the specific changes taking place in the world today. John recently noted that “we are moving from a relatively stable business environment to one characterized by rapid rates of change with ever more disruptions generating increasing uncertainty and unpredictability“. In this way, routinely transforming instability and rapid change from a threat (which it is to most businesses today) into opportunity is a core skill that organizations increasingly must be able to cultivate.

That much of the pace of change today is driven by the modern world’s pervasive and instant global flows of knowledge is largely due to influence of the Web and its billions of two-way touchpoints with nearly a third of the world’s population (including practically all of the developed world). In addition to ultra fast feedback loops that drive real-time action/response scenarios in the marketplace, the Web has also become an incredibly efficient, inexpensive, and easy-to-use delivery system for just about anything that an interface can be wrapped around.

This has created a new form of leverage in terms of the ability to change and adapt by tapping rapidly and deeply into on-demand resources (be they computing, data, or even people and ideas) in virtually real-time. A recent article in the Wall Street Journal noted that because of modern technology, particularly the Web, business “initiatives that used to take months and megabucks to coordinate and launch can often be started in seconds for cents.” Clearly, this is a brave new world, even if it’s one that’s still happening more on the edge than in the core of businesses today.

Web OS 2009: A Self-Organizing, Organic Cloud Computing Platform Nears the Tipping Point
WOA = Web-Oriented Architecture
CC/SRR = Creative Commons/Some Rights Reserved
AOP = Architectures of Participation

It’s a world where scarcity practically doesn’t exist and access to abundance is virtually free. It’s also true that the business models of the Web OS are only emerging as well. While monetization is prevalent for those consuming or participating in the Web OS, there is also a real and ongoing concern that it’s also the modern version of sharecropping. That traditional management approaches often don’t understand the nuances of these issues and aren’t designed to take advantage of this modern economic landscape, much less compete with a growing number of businesses that do, is a whole side story I’ll explore when I’m able. But it’s one in which the Web OS is increasingly forcing a serious reevaluation of modern business practices as well as the very notion of how an opportunity is defined, identified, and targeted.

What is the Web OS?

While there are multiple ways of looking at the Web as an operating system, from cloud environments that mimic a desktop operating system to sets of services packaged together and bundled as an individual product to companies, the largest — and the most significant — is the idea of an overarching and emergent Internet operating system. The data, services, and even communities of the Web are now programmatic and can be incorporated and remixed into any other business or product at will. The concept of a Web OS isn’t new. But its arrival on the scene in compelling form with serious impact to the enterprise is.

Over the last few years, as open APIs, social networking platforms, cloud computing, open identity services, sensor-driven databases (such as with GPS and OpenStreetMap), or even people (example: Amazon’s Mechanical Turk) have created open ecosystems in which anyone can participate, including business, both to contribute and to consume. The Web has become the ultimate outsourcing platform and one that is incredibly agile too, combined with economies of scale that are very hard to match. There are challenges too: Unpredictabilities and risks exist that must be dealt with both routinely and successfully.

But to perform well in this changing business environment organizations have to

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August 18th, 2009

Using social software to reinvent the customer relationship

Posted by Dion Hinchcliffe @ 12:11 pm

Categories: Architecture of Participation, Business Models, Business Process Management, Collaboration, Collective Intelligence, Community, Convergence, Cost-effective scalability, Crowdsourcing, Customer Community, Customer Self-Service, Design Patterns, Encouraging Unintended Uses, Enterprise 2.0, Enterprise Web 2.0, Governance, Grassroots Community, Innovation marketplace, Network effects, Prediction markets, Social Computing, Social Media, Social Networking, Social Software, User Generated Content, Web 2.0, Web as Platform

Tags: Customer Service, Customer, Social Software, Tool, Organization, Web 2.0 Application, Productivity, Web 2.0, Product Marketing, Customer Relationship Management (CRM)

The elimination of decades of inadequate communication channels will suddenly unleash a tide of many opportunities, as well as challenges, for most organizations.As Web 2.0 applications move more deeply into the strategic operations of enterprises, a unique hybrid of social software has emerged to help businesses deal with the giant sea of customers that awaits them on the other side of the network. While Enterprise 2.0 tools, primarily aimed at collaboration, are certainly part of this story, they often don’t help companies enjoy the full range of possibilities when it comes customer-facing social computing.

Enter the rapidly emerging Social CRM space, an area that’s become significant enough that there’s now a dedicated blog on the subject here on ZDNet by the terrific Paul Greenberg.

This year’s rise of enterprise social computing is opening a new front line in many businesses where the old ways of engaging with customers is no longer sufficient or even competitive. Many organizations I talk to these days are now evaluating the way social software seems to be altering the CRM landscape. In particular, Social CRM has recently come into its own as a leading model for this transformation. For comparison’s sake, online customer communities were a very hot topic last year in this same space, but as I pointed out then, it was surprisingly hard to create them repeatably. My sense is that Social CRM will be a more predictable, reliable model for applying Web 2.0 to customer relationships using many of the strengths of the community model.

Read Michael Krigsman’s 3 Big Reasons CRM Initiatives Fail

This is not to say that many of the social media tools that companies have deployed already aren’t good examples of Social CRM. Many of them are and this highlights a major discussion in the blogosphere last week sparked by SocialText’s Ross Mayfield, who posited that with Social CRM, the people are the platform. The key point here is that where online tools let customers have a social relationship with a business — in other words, interaction that is visible to them and other customers whenever possible — then some Social CRM is taking place. Without a fundamentally community-based relationship, you’re just back to traditional, one-on-one push management of customers. This latter model, a closed and asocial mode of customer interaction, is the very antithesis of Social CRM.

Social CRM: It’s all about people

For its part, Social CRM paints a vision of creating a deeper and more engaging community-based relationship with your customers, instead of the traditional approach of managing them, in a very Cluetrain Manifesto way. Part online community, part crowdsourcing, part customer service, Social CRM can create an emergent, collaborative online partnership with customers that can result in an array of improvements to business performance.

Far from being just for the benefit of the business however, with Social CRM customers tend to 1) be much more in control, 2) are in sustained contact with the organizations they care about, and 3) can use self-service, mutually visible participation, collective history, and peer relationships to assist each other as much — and often much more — than the classic CRM model ever could.

The CRM Front Line: Social Customer Relationship Management (sCRM)

But like any composite, heterogeneous group of participants, Social CRM necessarily entails less deterministic control and outcomes. For example, these new Social CRM tools will let anyone ask a question publicly and anyone else in the community (customers or employees) answer it. Or provide a means to let new ideas flow in from the community in a very Dell IdeaStorm fashion. The question of who decides what the right “official” answer is, or which ideas will be selected and how non-employee submitters will be compensated are currently hard questions to answer for many organizations.

Then there is the challenge that by its very nature Social CRM is

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August 5th, 2009

The future of enterprise data in a radically open and Web-based world

Posted by Dion Hinchcliffe @ 12:16 pm

Categories: Business Models, Cost-effective scalability, Customer Self-Service, Design Patterns, Encouraging Unintended Uses, Enterprise 2.0, Enterprise Mashups, Enterprise Web 2.0, Global SOA, Governance, Lightweight Service Models, Mashups, Open APIs, REST, Radical Decentralization, Right To Remix, SOA, SOAP, SaaS, Two-Way Web, WS-*, Web 2.0, Web 2.0 Platforms, Web as Platform, Web services, Web-Oriented Architecture (WOA)

Tags: Web, API, Business, Information Discovery, WOA, Channel Management, Service-Oriented Architecture (SOA), Marketing, Web Services, Enterprise Software

Like many aspects of applying Web 2.0 to the enterprise, the challenge is both in adapting the business and its thinking while successfully leveraging the latest delivery methods.In recent months, another significant front in the growing trend of open data has emerged, and with it a growing focus on what businesses can do with that most precious asset they’ve developed at enormous expense over the years: their data.

The advent of a new administration in the United States, which has been pushing to open U.S. government databases en masse, and a proliferation of open data initiatives in other countries — perhaps most notably in the U.K. — has put the often behind-the-times government world into the forefront of open data with such sites as data.gov, which the nation’s CIO Vivek Kundra has promised will have tens of thousands of feeds this year alone.

Open data holds up the promise of instant connectivity between arbitrary numbers of ad hoc partners while at the same time reducing integration costs, improving transparency, harnessing external innovation, and even (perhaps especially) creating entirely new and significant business models. I sometimes refer to these as “open supply chains“, and the term is highly descriptive when it comes to the potential for open data models to make cloud computing safe and interoperable, help journalists to do their jobs better, or create multi-million dollar new lines of business, such as Amazon’s well-known Web Services division.

Options to make enterprise data more open, consumable, and Web 2.0 friendly

All of this activity underscores the relatively lackluster track record of traditional businesses in understanding and managing the opportunities, risks, and rewards of open data. Despite some significant success stories there is an apparent — and perhaps widening — digital divide between the classical world of business and the online world.

Even the considerable investments that most large organizations have made in IT system interoperability and integration, particularly with such popular approaches such as service-oriented architecture, have produced famously lackluster results. My good friend David Linthicum, a leading SOA expert, has gone as far as saying that the lack of focus on data is a major part of the problem.

Taking a product focus instead of a project focus

For those that have embarked down the open data road to see where it leads, one thing seems to be clear: Exposing data — whether it is internally within an organization or outside to partners, or even the whole world — is a way of thinking about the very nature of the business, more than it is about achieving a one-off end goal. This is because open data seems to create immediate, close, and powerful relationships between the publisher and the consumer of the data, and leads to a series of unexpected outcomes. These relationships can be created with extreme ease with today’s methods over networks like the Web and though often speculative, a good subset of them form rapidly into important ones that can draw in new customers, identify new innovations, head off competitors, or just generate revenue. Witness Twitter and its hundreds of partners accessing the platform (and its enormous audience) through its API or Netflix and its impressively successful prize contest that opened up data selectively to dozens of high-value self-selected contributors as a leading example.

Read about emerging open business methods for more open data success stories.

In other words, in order to be competitive with the next generation of businesses, most organizations are going to have to look at open data for reasons involving efficiency, competitiveness, and long term health, particularly as open data enters their particular industry.

Enterprise open data options: Leveraging today’s Web best practices

But it’s still not clear to businesses the options they have and how they need to think about opening up strategic sets of data for reuse internally, with their partners, and indeed, with the rest of the world. Far from being a story about IT plumbing, open data is a way of doing business, forging strong relationships over the network with other organizations, customers, and potential customers. However, the success of the Web itself as a dominant global platform has made it the de facto channel for providing open data, even the networks internally to most businesses heavily use Web technology for their applications, intranet, and interaction with the rest of the world. This means opening data generally means opening it up over the Internet using Web technology and approaches.

So critically, being successful with enterprise open data requires

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July 27th, 2009

Ten top issues in adopting enterprise social computing

Posted by Dion Hinchcliffe @ 8:32 am

Categories: Architecture of Participation, Blogs, Business Models, Business Process Management, Collaboration, Collective Intelligence, Community, Convergence, Crowdsourcing, Customer Community, Customer Self-Service, Design Patterns, Enterprise 2.0, Enterprise Web 2.0, Enterprise Wikis, Grassroots Community, Hype, Radical Decentralization, Right To Remix, SaaS, Social Computing, Social Media, Social Networking, Social Software, Social media, Social networks, Tagging, Two-Way Web, User Generated Content, Web 2.0, Web 2.0 Platforms, Web as Platform, Wikis

Tags: Social Media, Social Computing, Social Software, Security Concern, Social Networking, Online Communications, Marketing, Advertising & Promotion, Dion Hinchcliffe

Last week ZDNet’s Larry Dignan wrote an insightful post that analyzed the recent report from Charlene Li and the Altimeter Group/Wetpaint about early data that seems to show an intriguing correlation between social media engagement and corporate financial performance. The key finding was this:

To be specific, companies that are both deeply and widely engaged in social media surpass their peers in terms of both revenue and profit performance by a significant difference.

This report (details and copy here) is encouraging news for those embarking on applying social software to various parts of their business. But, as Larry points out, these numbers can be interpreted a number of ways. Many organizations would rather wait for best practices to solidify before climbing very far up the social computing adoption curve. So while there’s increasingly less question that there is genuine ROI in social media, the question still remains whether it can directly drive fundamental, bottom line performance in the average organization today.

This highlights a key conversational thread that came out of last month’s Enterprise 2.0 conference: Does social computing really deliver significantly better business performance? Or is it merely a minor incremental improvement?

Unfortunately, despite an growing body of encouraging case studies, evidence, and research, the jury is still out on total impact social computing will have on businesses. This return will even vary widely for many organizations for a number of reasons will explore below. At present, the uncertainty is simply because that there are not enough organizations that have incorporated social computing approaches (which encompasses the full range of social software as applied to business that include social networks and Enterprise 2.0 to things like crowdsourcing and social CRM) across their lines of business for us to get a complete enough picture. Even the ones that have done it, haven’t done it long enough to see what the results actually are.

Instead, as companies begin pilots and initiatives, we are seeing the first wave of issues cropping up as the larger cultural, IT, and business impact of social tools begins to be felt.

Social Computing Adoption Curve - Software and Processes

Sidebar: What is social computing? It’s the use of social software within and between organizations and any interested parties such as employees, customers, and partners. Social computing, as explained here, can usher in significant large-scale shifts in where productive forces and innovation come from. Organizations will all adopt enterprise social computing tools in slightly different ways and will generally proceed from ad hoc usage, often by applying widely available consumer tools at first, to more evolved open business models. As of this year, about half of all large organizations now have social computing tools deployed in some manner.

The following is a summary of the issues I’m hearing from practitioners in the field as well as from our clients and industry contacts.

While these ten issues with social computing are the ones I hear about most, your mileage will almost certainly vary. However, I believe them to be representative of where we are in 2009. Please note that these are by no means insurmountable obstacles and merely represent a good cross section of what early adopters typically encounter as they begin climbing the social computing adoption curve (see diagram above).

Ten top issues with social computing in business

  1. Lack of social media literacy amongst workers. Anecdotally, the farther a business is from the technology industry, the less likely that line workers will be familiar with the latest software innovations. Those who haven’t been maintaining blogs, updating wiki sites, using social networks, sharing information socially, etc. will require more education than those who do. Even the basics of netiquette as well as key techniques to get the most from social computing platforms such as encouraging the building of links between data, tagging information, or establishing weak ties over the network are often poorly understood even by frequent users of social computing tools. In short, social computing requires some literacy efforts in most organizations to achieve effectiveness, just like personal computing skills did a few decades ago.
  2. A perception that social tools won’t work well in a particular industry. There is often an assumption in many specialized industries — such as medicine or manufacturing, just to cite two random examples — that social tools won’t

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July 24th, 2009

First impressions of Google Wave

Posted by Dion Hinchcliffe @ 10:04 am

Categories: ATOM, Active Directory, Collaboration, Enterprise 2.0, Enterprise Mashups, Enterprise Web 2.0, Enterprise Wikis, Google Accounts, Identity, Lightweight Service Models, Mashups, Products, RSS, SaaS, Social Computing, Social Software, Social media, Web 2.0, Web 2.0 Platforms, Web as Platform, Web services, Wikis

Tags: Google Inc., Collaboration, Groupware, Recruitment & Selection, Enterprise Software, Software, Human Resources, Workforce Management, Dion Hinchcliffe

After spending a few hours using an early version of Google Wave today, it’s clear that in its initial incarnation it won’t be ejecting existing enterprise collaboration tools from the workplace any time soon. It’s not that it isn’t impressive, far from it, however Wave’s complex interface and open-ended feature set provides an unexpectedly steep learning curve, particularly from a company that is famous for simple, powerful user experiences.

That said, Google Wave holds considerable potential for bringing next-generation Enterprise 2.0 capabilities to organizations looking for best-of-breed solutions.

Google Wave Extensions and Embedding - Social Conversation MashupsFor those that didn’t see the unveiling two months ago, the vision of Google Wave is one of online communication completely reinvented for the possibilities — as well as the expectations — of the Facebook/Twitter era.

After all, e-mail itself is decades old and even highly successful Web 2.0 communication tools like blogs and wikis have gotten somewhat long in the tooth, at least in their most common forms. With browsers capable of doing more than ever and tight integration with existing information assets becoming more and more critical to users, Google Wave attempts to up the ante by combining many of the features and capabilities we come to expect in modern Web applications.

These advancements include truly social conversation, simultaneous multi-user editing, connection to external Web/intranet apps through extensions and embedding, and much more. In fact, as we’ll see, Google Wave has virtually all of the key ingredients to comply with my FLATNESSES mnemonic for identifying effective, Enterprise 2.0-capable applications.

The end result is something that comes across as a distinctly sophisticated Web application clearly made up of many elements that sometimes behave somewhat unpredictably precisely because it’s designed to be highly extensible and freeform. Admittedly, my experience was with the developer sandbox for extensions, but this is exactly the intent of Google Wave: to be the center of integrated communication and collaboration in a dynamic and immersive yet safe experience.

Here are some of the observations I made during my use of Google Wave. Note that this is an early version of the software that will undoubtedly be richer and more complete upon release, though experience shows that Google rarely makes major changes to products once they are shown to early audiences.

Observations on Google Wave

  1. The basic interface looks a lot like Gmail. This is generally good since Gmail is widely used and understood by millions of people. The biggest obvious difference is that the inbox/content area that takes up most of the page in Gmail is now split in half, with a list of waves on the left and an active wave on the right. The rest of the page is taken up with a Contacts pane, just like in Gmail, and some standard boilerplate links on the upper right. In fact, it’s so consistent with the Google experience (including Google Accounts) that it seems quite likely — to this author anyway — that Google Wave capabilities will be added to Gmail at some point. Upshot: Other companies can and will make their own front end editors/viewers for waves and this user experience has few surprises. It is very much what you’d expect from Google with a user interface/navigation consistent with their other applications.

    Screenshot of Google Wave
    Screenshot of Google Wave: Strong similarity to Gmail

  2. Google Wave works better with groups of contacts.While this seems obvious, the issue is that online conversations tend to work better when they can involve a wider range of people than just those that you think of immediately. The tedium of starting a wave is that you have to add all the participants than you’d like to have in it. Auto-joining groups are supported at this time in a fairly interesting fashion (if slightly unexpected, see below in robot participants), but will be critical to create easily and quickly en masse in order to make Google Wave useful and time efficient. One potential issue: Supporting cross boundary waves and simultaneously supporting Google Accounts, Active Directory, and other user account databases. This will be a complex issue for enterprises that want to

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Dion HinchcliffeAn internationally recognized enterprise architect and business strategist, Dion Hinchcliffe has been working for two decades with leading-edge methods to accelerate project schedules and raise the bar for software quality. You can follow Dion on Twitter.

See his full profile and disclosure of his industry affiliations.

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