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Tablet Market Up for Grabs

Tablet Market Up for Grabs

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When the iPad appeared on the scene its dominance was all encompassing. But just as the battle for marketshare in the smartphone market is shifting away from Apple’s iPhone towards the plethora of various Android powered devices, the tablet market is seeing a similar pattern emerge.

Apple now holds less than 30% of the tablet market which is down from almost 50% at the same time last year.

In this infographic, eBay Deals, took a different approach – and rather than just relying on pure sales data, they analysed thousands of tweets, search data, YouTube views etc. The aim was to reveal not just market share (which we know), but aspects of behaviour, sentiment and – dare I say it – love.

And in this respect, Apple’s products continue to perform well. But interestingly, it is Google (not Android) that seems to be emerging as a strong competitor in the “tablet passion” stakes. And that – for Apple at least – should be more worrying than the sales figures – after all, one is a leading indicator of the other. And that early dominance can easily be squandered.

infographic

 

Asim Bharwani via Compfight

 

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Is the writing on the wall for Cloud already ?

Is the writing on the wall for Cloud already ?

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softwareag

The IT industry moves in cycles. Much like the fashion industry, trends come and go then return with a bang. It seems that Cloud Computing is about to hit that cycle now and go out of fashion faster than it came in.

The NSA and PRISM break out has exposed data security at a global scale that nobody was, but really should have been, prepared for. But it’s also raised eyebrows across the C-level in the enterprise as to whether they want to invest in a cloud strategy now. An exchange this morning with Ray Wang of Constellation Research revealed that 100 clients think that the US Govt has screwed over every cloud vendor with what’s happening and that on-premise software is back on the menu. It’s hardly surprising, you could tell that the writing was on the wall when Snowden hit the headlines but the turnaround is proving a lot faster.

But it’s not just Cloud vendors who are sweating. Third party security and encryption vendors have basically been shot down in flames too. This week alone two email encryption services, Lavabit and Silent Circle, have shut up shop because of the NSA spying. Silent Circle told customers it has killed off Silent Mail rather than risk their privacy.

“We see the writing the wall, and we have decided that it is best for us to shut down Silent Mail now.”

Companies are willing to close their own doors than compromise their own values and risk the data they hold for customers being targeted and used, and this raises a lot more questions around whether encryption services are really worth it if Governments can just come knocking and ask for the information to be handed over.

And what of the latest darling, M2M or Internet of Things ?

Where do we go from here ? Back to on-premise ? Stay with the cloud like this never happened ? Hybrid Cloud ? It’s just another pendulum swing for IT; on-prem, off-prem, on-prem….and repeat. Remind anyone of the BPO cycle ?

For vendors who have a core strength in on-premise software this the absolute right time to shout about it.

The writing may be on the wall for Cloud for now, and much like the fashion industry where trends come and go then return with a bang, with Cloud it’ll be a thunderclap. Watch the skies….

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Personal Log: The Sad State of The Industry Analyst Business And The Need For A Code Of Ethics

Personal Log: The Sad State of The Industry Analyst Business And The Need For A Code Of Ethics

Unchecked Bad Behavior Plagues Both Vendors And Analysts.

I’ve dreaded writing this post for a long time.  I normally think the best of everyone.  Yet, in the course of building our business at Constellation Research, I have to say I’ve seen everything that can go wrong with the industry analyst business.  I’m almost embarrassed to reveal the shady tactics on both the vendor and analyst side that perpetuate.  But for the sake of airing it all out so that we may have a better industry, I’d like to start the conversation and then invite those analysts and vendors who agree to come up with a solid code.  Once we have something, let’s take the pledge on cleaning up the profession.

Examples Abound And We Have Had To Say No.

To be clear, there is a massive self-interest in my putting this out there. Now some of you may still be asking why would I do this?  What’s in it for me?  I’ll be very transparent, we’ve built a business that has:

  1. Shrugged off writing white papers for hire;
  2. Avoided pay to play for content;
  3. Covered vendors who were not clients;
  4. Cancelled contracts when our objectivity would have been compromised;
  5. Rejected stock in start-ups in lieu of payment, even a few pre-IPO’s that would have made us millions;
  6. Fired clients who threatened to cancel our contracts despite our putting out factually accurate defensible research;
  7. Refused the pay for lead business;
  8. Turned down pay for quotes and refused to endorse vendors in quotes unless we had evaluated their products in a side by side comparison;
  9. Fired sales people who alluded to pay for play;
  10. Fired analysts who did not understand we were not a pay to play white paper shop even after repeatedly telling them this.

I’ll be honest.  In order to uphold our integrity, we’ve lost a lot of business.  I’d estimate in the order of $2 to $3M a year.   Now, I am comforted in the fact that I do know we are not the only ones who have done so.  However, I have sadly discovered that this is few and far between in the business.  I am both shocked and disappointed.

Integrity of the Industry Is At Stake.
Now at times, competitors have laughed at us for doing so.  But, we have worked hard to uphold our code of ethics.  We have stayed objective. We have remained fiercely independent.  Talk to our sales folks.   They live it every day.  Talk to our analysts who wonder why they have to work harder.

We can continue doing this alone and have a differentiation in the market, but I think it’s time the industry takes a pledge to end this bad behavior.   It’s important for buyers to know that there is a professional code. Why? It’s critical to the survival of the industry analyst profession.

Now I’m not talking about a code that’s la-la and fluffy. I’m not talking about a code of respect for other analysts.  I’m not talking about playing nice and looking the other way when an analyst screws up or abuses the system. I’m not talking about being stalked by sock puppets and sock puppet wannabes! (inside joke but enjoy it, whoever you may be!)  I’m talking about addressing the real issues, right now!

I’m talking about calling out folks who screw up, including ourselves.  It’s bound to happen.  But let’s get something out there so we can all understand what a standard is.  Then we can work towards there.  Some folks will have higher standards.  Others will choose to bend the rules.  But let’s set the goal posts and hopefully set them high.

A Start For A Code Of Ethics.

Now the components for these code of ethics have to work on both ends. Vendors and analysts have to agree.  Otherwise, we will have an imbalance.  Let’s start with the vendors because they have a lot of the money and most analysts derive a high percentage and in some and exclusive percentage of their business from the vendors.  Analysts could try to earn the end user business and reduce their dependency on the vendors, oh but wait, that’s hard work and some folks just don’t want to work that hard.  I digress…

VENDOR CODE

Let’s start with four simple rules.  Feel free to add more in the comments section.

  1. Agree not to support the pay to play game. Stop asking analysts to write custom white papers that are glowing to yourself.  This pay for content approach is tired.  In fact, when buyers see this, they mostly reject it.  If you choose to go in the pay to play game, then make sure you disclose it.  A better option is to suggest topics to analysts that you think would be useful to your marketing campaigns.  Have the analyst write a report.  Do not pay for the report until written.  Put the report in their regular review process.  Purchase the report reprint rights upon publication.  Do not bribe the analyst during the process with the potential to buy the report.  Respect the process and provide good input.  Expect the analyst to make their own call from their primary research panels and conversations with your clients, partners, and yes – even other vendors.
  2. Call out bad behavior. Over the past month, I’ve heard about a few analysts and sales reps at firms, threatening to not cover or not write good things if the prospect did not subscribe.  Now some have had very subtle threats.  Others, like a certain analyst this week, have made these threats as his business has plummeted as clients have discovered he does not influence end user buyers.  I’m not going to name the analyst because while I respect the work he does when its objective, I do realize how hard it is to make a living in this business.  Yet, vendors should call this behavior out and stop doing work with pay to play analysts.  It jeopardizes the vendor’s reputation and it jeopardizes the good analysts who do not subscribe to this model. (see selfish plug here).
  3. Train and educate internal sponsors and stakeholders. Vendors who have educated executives that understand when and how to work with analysts tend to avoid this issue of pay to play.  This requires good training.  Strong and mature analyst relations programs coach their executives on what is fair influence and what to expect.  They explain how the influence process works and how to provide access for analysts and how to provide transparency without marketing hype.  I do suggest that vendors find experienced Analyst Relations professionals and avoid the converted PR professional with 2 years or less of experience now forced into analyst relations.  It never works well.  Read our board of advisor, Paul Greenberg’s Guide to Influence to get started!
  4. Disclose the analysts you work with and are on paid contract. It’s time to come clean and share with buyers who are the analysts on your payroll. Let the buyers determine the analyst’s objectivity.  I’m asking the analysts to do the same.  Share with the end users what free products are in which analyst’s hands.  Yeah, it can be a demo but make sure the users know the analysts have your demos.

ANALYST CODE

Let’s start with four simple rules.  Feel free to add more in the comments section.

  1. Just say no to pay for play. Stop cheapening your brand with pay to play.  If you are a white paper whore for hire, you will notice that your business will continue to sink.   Your writing will be less valued over time.  Vendors will start pitting you against other analysts.  You will lose your most valuable assets – your objectivity and personal brand.  Now, you probably think that it won’t happen.  That you are better than that.  That you are still can write an objective paper.  After talking to 100 independent analysts before we started Constelaltion, I can tell you why even the top tier legacy analyst firms avoided that game.  Sadly, we’ve had to deal with a few folks like that at Constellation who could not get it out of their system that they write first, then get paid for reprints if a vendor wanted to use it in their marketing materials.  They did not get paid first to write.  When that happened in our case, we had to either drop the client or tell the analyst that they could not get paid upfront.  If you still want to be in the pay to play game, then just be an awesome marketing consultant. Get out of our business as an industry analyst.  You don’t deserve the moniker.
  2. Call out bad behavior. If a vendor decides that they will drop you even after you disagree with them and have objective,  factual based analysis, you need to speak up.  Tell other analysts.  Call out the vendor.  We all know who the bad vendors are and the bad analyst relations managers who play those games.  I had to deal with one while working as an analyst at Forrester. This analyst relations person at a large firm and her boss threatened to get me fired because I would not change my opinion, even after talking to 100 clients and reaffirming my stance.  For a whole year, they stopped briefing me.  They stopped inviting me to their events.  They blocked all formal access to executives.  They bad mouthed me to the press.  They kept pressuring my bosses to fire me.  The result – their bone headed move reaffirmed my standing.  They put me on the market and to this day, I have to thank them for raising my profile to standing up to them.  Now my job would have been on the line had I not driven a lot of revenue, but you know what, I’d have gone out fired with a fight.   My brand and reputation was worth it.
  3. Train and educate your team. There are a lot of bad analysts and bad sales folks.  Let’s not have that be your sales team. Set your boundaries high on what you can do.  Today, our sales guy was refused a contract for a strategy day by a product marketing guy who would only sign if the analyst provided a deliverable that was a pay to play content fluff piece about the vendor.  Both my sales guy and I made it clear to him, copied his CEO, and let her deal with this.  My sales guys knew how I would react and realized he might miss his quota, but we made sure we took care of our sales team for doing the right thing.  Lead by example.  I’ve determined that many legacy analyst firms have very objective analysts.  However, the shady sales guys give them a bad reputation and most analysts don’t realize how their sales folks represent them.
  4. Disclose your vendor client list. At a minimum let users and buyers and the media know who you work with.  While the FTC disclosure policies have not been uniformly applied to analysts and bloggers, a best practice is to publicize this list.  Constellation’s client list is here.  We know about a new analyst firm in Boston starting up.  They plan to use the database of a vendor for their insights service.  We expect that analyst to disclose what they use and what products they have freebies from.  It’s only right.  We’re waiting to see if he ‘fesses up.

Now wait, you are probably wondering why the Analyst code and the Vendor code look the same.  Well they do because it’s all interrelated.  It takes two to tango and we need both vendors and analysts to take the pledge.

The Bottom Line – It’s Time For Authentic Business

I know I’ve shaken up a few folks here. I’m sure I’ve made many angry.  Once you get over this, and though you may still be angry at me,  let’s get rational and clean up the business.  Send me your ideas.  Challenge the premise. But in any case, let’s start this dialog.  I’m going to be in business for the next 25+ years and I don’t want to see the profession tarnished.  It’s time for authentic business.

Your POV.

Are you shocked? Ready for a code of ethics? Do you think this is even possible? Have I just created a sh!t storm?

I’d love to see your suggestions, comments, and feedback in the comments.  I’ll aggregate and put out the part 2. Then we can decide if you are ready to take the pledge.

Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) com.

Related Resources And Links

Paul Greenberg’s Guide to Influence

Rethinking the IT Analyst Industry by Zia Yusuf

Monday’s Musings: Putting An End To The Conflict Of Interest Among Some Sourcing Advisors

Trends: Influencers Aspire For Market Maker Status

 

Reprints

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

Disclosure

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

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

Copyright © 2001 – 2013 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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Kickstart Your Campaign with Video

Kickstart Your Campaign with Video

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The crowdfunding platform, Kickstarter, is a fascinating microcosm – it brings together all the elements and challenges of a business often before that business exists. So in many ways, a Kickstarter project is a pre-startup startup – and accordingly it faces many of the same immediate challenges. But where startups sprint towards product, Kickstarter forces a path towards market development. Those who can’t market, don’t win. And like current marketing trends indicate, video plays an increasingly important role in that process.

Research from MWP Digital Media shows that Kickstarter projects that have a video are 85% more likely to achieve their funding goals. This tends to match some of the trends we are seeing in broader marketing circles – with YouTube and Vimeo consumption continuing to rise – impacting not just brand and engagement metrics but also working at crucial junctures in the path to purchase.

Video, however, is a steep learning curve – so there are obvious benefits to outsourcing. But new features in familiar apps/platforms like Instagram and Twitter (via Vine) make it easy to experiment. And I have a feeling that the role of user (or brand) generated video content is only going to accelerate in the next 12-18 months. I have already begun testing this out for myself and with clients.

These days marketing never sleeps. I hope this shift isn’t catching you napping.

kickstarter-video-infographic

 

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A Social Knowledge Framework

A Social Knowledge Framework

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Following up, and wrapping up actually, on the short series I have been publishing on social media as an interim (but essential) step towards collective knowledge I’d like to cover a draft version of the framework I see for social knowledge.

You hopefully have been keeping up, reading all about the evolution to social knowledge, the definition for social knowledge, and some of the other writings about knowledge management I have been publishing around the world (thanks to my sponsors for this topic: Coveo, Moxie Software, and Stone Cobra).

Now, publishing a framework in a blog post is not bound to be very effective – after all, you can build entire methodologies around frameworks (and you know that a methodology is not a short 2-pager or anything close to that).  However, I feel that discussing the high points of what is necessary for a KM solution to evolve into a social knowledge solution is very important.

I spend a lot of time talking to people (vendors, practitioners, consultants, influencers, and thought leaders, and more).  In these conversations these past few months a common element or issue has been showing up more and more: what to do about collective knowledge.  The quick rise in social networks and communities has brought a very big problem to organizations: there is a lot of value (potentially) in those channels – but we are not sure how to leverage that.

As I have been saying for a while, and most recently in previous posts in this series, this is an evolution – not a revolution.  You won’t be able to get value from using social channels and communities unless you prepare your systems to take advantage of that.  With that in mind, here are the top six things you have to remember as you embark on the road to social knowledge:

Subject Matter Experts.   The key to both social and collaborative knowledge is to have the right experts at hand.  The evolution of knowledge is to focus more in those subject matter experts, be able to identify them, have them accessible and use their knowledge to answer questions and update content.  The evolution towards social knowledge will need a solution that can “manage” these subject matter experts as the source of knowledge and maintenance of that knowledge.

Collaboration within Established Workflows.  Just because we are going to use people instead of static knowledge bases, which still won’t disappear, does not mean the need to generate and maintain entries into those bases goes away.  The established workflows for content generation and maintenance need to be upgraded to both reflect the use of different sources as well as more relaxed flows for dynamic, constantly shifting knowledge.

Aggregation.  Of course, once we have several sources for knowledge the issue of federated knowledge bases comes up very quickly – and while important, it is not as critical as being able to aggregate the real-time knowledge from communities and SME.  Definitely a framework to migrate forward in knowledge must include a way to aggregate all this knowledge: static and real-time, and the in-between use of SME.

Multi-Channel.  As much as I would hope this goes without saying, I am still getting calls and inquiries from customers that are not sure if they should use one source of knowledge for all channels (in their defense, they do think it is a good idea – they are just not sure of how to do it, or if their solution can do it).  This goes without saying now: single source of aggregated knowledge for all channels.

Three “R”s.  The concept of the three R’s (right answer, right channel, and right time) talks to timeliness and accuracy more than it does to being able to distribute over multiple channels (see point #4 above).  Under the assumption that we can distribute to all channels equally, the next consideration is making sure the right answer at the right time reaches the intended recipient – being able to deliver (leveraging real-time knowledge from SME) is a key feature of these evolved scenarios.

Evolutionary.  Proposing an evolution from current KM to social knowledge and eventually to collective knowledge means migrating existing solutions to the new models. This migration requires the new solutions to temporarily support the old models to ensure a graceful transition (especially when using federated knowledge bases with partners or non-traditional contributions to the knowledge base).

Can you see the framework taking place? Can you see what elements you need to adjust and change in your solution? How to evolve?

Did I miss something? Would love to hear what you have to say below.

What is Social Knowledge?

What is Social Knowledge?

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Expanding on the issue of social knowledge I started last time, thanks to my friends at Moxie and my sponsored research model, I want to take it one step further.

We explored last time what is the path to social knowledge and how today’s shifting paradigm of knowledge management makes it possible.  We talked about how the upsurge of user empowerment generated by the advent of social networks and online communities made social knowledge possible where similar endeavors failed before.

What we did not do is define social knowledge – or how to make it work.  I want to take the next two posts to do just that.  Will start with a definition this time and present a framework to embrace it in the next installment.

Here is a diagram that shows the progression to Social Knowledge, and how it begins to integrate communities.

timeline to social knowledge version 2

That last chart? That’s a play on my continuum model – but that is a very different topic and model; just know that social knowledge is a stepping stone towards implementing continuum in lieu of cycles (read more here if you want, but come back because we are just getting started).

Now that we have put social knowledge into the proper context as one part of the evolution towards collaborative knowledge, let’s define what we mean by social knowledge.  I wrote some time ago a pseudo-definition for social knowledge that read:

Tapping into communities and subject matter experts, social knowledge moves away from the traditional knowledge-in-storage model of accumulating “stuff” in knowledge-bases to getting the information directly from the knowledge owner that has it.

This knowledge is used, cataloged, indexed and used again – but only as long as it is the right answer – after that, new answers become “the right answer”.

Within these statements we have all the elements that make social knowledge work.

At the baseline social knowledge is the realization that knowledge bases don’t contain all the necessary information.; while in certain instances (e.g. financial services and regulated industries) it may be necessary to have an “official” version of knowledge, in the real world knowledge is augmented each and every moment during usage; this is one of the driving forces for online communities.

The more you use knowledge management as part of your customer service endeavor, the more knowledge changes.  The number of intricate combinations possible for use of any product of service by the large number of customers using them is astonishing. 

Even if there are “recommended” uses for the product, customers will always try new things and new combinations; as an example, I doubt very much that the inventors of duct tape thought it would be used one day to make clothes and other findings – yet, my daughters are living proof that is the only recognized use of duct tape (for them).  Everything they ever needed to learn from how to use the product to make what they wanted to make came courtesy of YouTube via non-official videos of other people making the same things.

Organizations began to realize some time ago that the source of the answer lies within those experts, called Subject Matter Experts or SME, and their use of the product or service.  This is marking the shift in knowledge from Knowledge-in-Storage (KiS) to Knowledge-in-Use (KiU) we are seeing, and the beginning of social knowledge.

One caveat, whereas users still remain the ultimate source of how the product should be used, this is not an excuse to dump all knowledge management efforts in the path to creating user-only knowledge solutions.  SME are a part of a total solution, not the only solution – there have been some organizations who have recently tried to outsource one-hundred percent of their knowledge management to communities with mixed results – at best.

However, the same model of communities and tapping into communities powered and populated by users can be used internally.  SME can live within the enterprise as well as outside, but without the right technologies is hard to impossible to find them in a timely manner to use their knowledge.

Social knowledge does not just happen via external communities, it must also occur with internal SME in internal communities and eventually ending up in hybrid communities (see the chart accompanying my last post for more of this evolution).  That is the next step, the evolutionary model of collective intelligence.

It would be simplistic to say that is the only definition for social knowledge, but since it is the first step in a multi-iterative paradigm shift we need to add some of the elements that are necessary to make it work.  Since a formula would have too many variables for any one organization to account for, I prefer to use a framework or template approach.

Alas, that is the next post on this series.

I want to know something from you though, are you seeing this shift in knowledge beginning to take place in your organizations? Are customers demanding more knowledge than you have access to?

The Story of Social Knowledge

The Story of Social Knowledge

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I know I have been writing a lot about Knowledge Management lately, but this is a very exciting time and the paradigms are shifting as I have mentioned. 

The old model of creating and storing knowledge to eventually using it (maybe) is disappearing in favor of knowledge generated and maintained by users and communities. 

I covered a lot of this before within the sponsored research model I use and you can find all of the links from my blog – but when I was discussing one of the components I wrote about before with my friends at Moxie we discovered there was a missing step.

I talked about Collective Knowledge as the ultimate goal for this paradigm.  This is where communities populated by interested parties help each other by providing the necessary knowledge.  The main difference with today’s model of KM is that the communities essentially become the replacement for the knowledge-bases over time.

One of the things we discovered working through that model with Moxie was that we needed to cover the interim steps to get there.  This is what this post is about.  Telling the story of Knowledge becoming social knowledge and eventually collective knowledge.

There are four stages for the use of Knowledge in Customer Service:

  1. Disorganized.  During this stage, there is no knowledge management to speak of.  Either there is a collection of documents, or maybe a knowledge base exists – but it is incomplete, obsolete or never used. The “knowledge” generated and used at this stage comes from user’s minds – they know what they need to say to answer the most common questions and they may know who to ask for a one-time answer  as they find the need.  There are no documented processes or solutions to effectively manage generation and maintenance of knowledge – thus, each person becomes their own model of KM.
  2. Accessible. This is the first model used for KM in the customer service world (and still remains the most common model).  During this stage the organization creates structure out of the mess that the organization has.  Segments of users are known and the general idea of their knowledge needs is also known or discoverable.  Processes are in place for users and agents to create, access, and use similar-but-different versions of the answers (more complete for agents, a summary for customers) usually contained in a single knowledge repository
  3. Social. The interim step to collective knowledge.  This is the stage we are beginning to see implemented today leveraging communities, using tools for socializing online, and generally understanding the there is a mixed state between the ultra-advanced model of communities providing solutions and companies using single-repositories; that model is social, where users can easily access via social tools and technologies to contribute their knowledge to the organization – and in turn benefit from accessing the same community for their needs.
  4. Collective.  I won’t restate what I said about collective before, but the summary is that once an organization masters leveraging their own people and known subject matter experts to create internal “communities of practice” they find new ways to work and to leverage also their customers’ knowledge, their partners knowledge, and virtually any knowledge that exists in the world with the end purpose of generating more value for all stakeholders: employees, partners, customers and anyone else involved in making the organization successful.

This is a very condensed summary of this evolution and the beginning of the description of the interim step from Accessible to Collective Knowledge; we will explore a few more details about this in the next few weeks, please stay tuned!

In the interim, I’d love to hear your thoughts about this – have you found this interim step necessary? Are you working in deploying this? What are your thoughts in the overall shift in knowledge paradigms?

Please use the comment box below to expand this conversation and – well, grow our collective knowledge.

SuperNova Awards Deadline August 7th at Midnight! #SNA2013

SuperNova Awards Deadline August 7th at Midnight! #SNA2013

The deadline for the 2013 SuperNova Awards for innovators in disruptive technology is tomorrow, August 7, 2013 at midnight PT. 

If you executed a project that created a disruption --we want to hear your story! There's still time to submit for the SuperNova Awards. The application is designed to be completed in approximately 30 minutes. 

What are the SuperNova Awards?

The Constellation SuperNova Awards celebrate and recognize leaders and teams who have overcome the odds to successfully apply emerging and disruptive technologies for their organizations.  This annual search for innovators includes an all star judging panel, substantial prizes, invite-only admission and speaking opportunities at Constellation's premier innovation summit - Connected Enterprise.

Who can enter?

The awards are open to end users only. End users at vendor companies may enter the awards.  Vendors may submit on their customer's behalf but must enter their customer's details and have their approval. We will disqualify any vendor applications without end user contact information. 

What do we mean by "disruptive"?

  1. Internal disruption - changing how business is conducted within your company
  2. External disruption - changing the landscape of your or other industries
  3. Use of disruptive technology to change business models - using disruptive technology to change the business model status quo 

Apply 

Categories

  • ?Consumerization of IT & The New C-Suitean examination of the policies, technologies, and collaboration frameworks required to balance the speed of technology adoption with the security and scalability requirements of IT. Sample technologies: mobile, byod, cloud storage, gamification, video, etc. 
  • Data to Decisionsenablement of data-driven decisions across the entire organization. Sample technologies: big data, master data, data quality, analytics, reporting, visualization tools
  • Digital Marketing Transformation: how organizations will make the shift from analog to digital marketing. Sample technologies: ad tech, marketing automation, promotions, creative technology, social
  • Future of Workanalyzes the confluence of technological, demographical and cultural trends challenging the traditional work paradigm. Sample technologies: collaboration, hr tech, learning and management, talent, space design, unified communications, video, productivity
  • Matrix Commerce: analysis of the disruptive pressures influencing the commerce paradigm. Commerce faces rapidly changing business models and new payment options that are often misunderstood and poorly integrated. Sample Technologies: ecommere, mcommerce, supply chain, digital signatures, payment technologies, billing
  • Next Generation Customer Experience: analyzes the technologies transforming traditional 'customer service' into a next generationional customer experience where social, mobile, and analog channels meld to provide streamlined customer service.  Sample Technologies: CRM, customer service, customer experience, loyalty, gamification, social, communications, video, community 
  • Technology Optimization & Innovation: advises CIOs seeking to invest in innovation and strategic advantage while optimizing the cost of providing ongoing support. Sample technologies: ERP, apps strategy, IT budgeting, IaaS, PaaS, SaaS, cloud technology

Apply 

Resources:

Profiles of last year's winners

What's Next?

  • All applicants will receive a confirmation email for receipt of their submission
  • Judges will evaluate the applications
  • Finalists announced August 22, 2013
  • Finalists invited to Constellation's Connected Enterprise #CCE2013
  • September 9, 2013 voting opens to the public
  • October 9, 2013 polls close
  • October 30, 2013 Winners announced, SuperNova Awards Gala Dinner at Connected Enterprise 
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Personalized Proactive Notification Increases Sales Revenue

Personalized Proactive Notification Increases Sales Revenue

1

While most brands tout customer experience as their main priority, outstanding customer service still has a long way to go for many companies. Customer service organizations spend much time and money on reactive customer service but far less on personalized proactive support. Although personalized outreach is fairly common in the retail industry, it is much less used in other industries.  For example, a customer may search online for a more attractive mobile phone rate from its current vendor and its competitors’ web sites. By tracking the customer’s online activities, brands can quickly evaluae the customer’s current plan. If the customer is eligible for more savings the customer support team can proactively send a new offer before the customer decides to continue shopping elsewhere.  Reaching out to customers quickly on matters of interest creates a sense among customers that brands really do care.

Online retail brands have increased their sales by knowing their customers’ interests and concerns and acting on them.  Amazon achieved high growth due to its sales intelligence and marketing automation software.  Amazon carefully tracks each customer’s online activities, click through rate and previous purchases to determine the right offer to send proactively.  This type of customer analysis can be applied much more broadly to non-retail brands.  Brands have a major opportunity to increase revenue and build customer loyalty with personalized outreach via the Web or their mobile app.

There is a wealth of information available on customer activities and purchases both from internal and external sources.  Intelligent search and indexing of this content provides information on the customer’s tastes and preferences. However, it is important that the suggestions are relevant and helpful and not intrusive or disturbing. Many brands can improve their customers’ experience by supporting its customer’s interests and notifying them of special savings with personalized proactive outreach.

As with any upgrade, a business case is typically needed to justify the investment in personalized customer outreach. Measurements for deciding the ROI for offering personalized customer outreach include:

·         Higher sales conversion rates.  Reaching a customer at the time of peak interest will result in a higher sales ratio.

·         More effective online advertising.  Too much advertising that is not relevant becomes white noise and customers will ignore its message.

·         Average customers’ spend.  Outside of retail, brands often find that their customers only use one of their products or services.  Identifying customers’ priorities enables brands to extend additional offers from their total product portfolio

·         Lower customer attrition. Shoppers like to associate with brands that appear to look after their best interests and accommodate their preferences.

·         Higher net promoter score. Customers endorse companies they find easy to do business with and recommend the brand to their friends.

·         Reduce incoming calls.  Reaching out to customers on matters of interest also decreases the number of calls that come into the service center for information.

 

Next-Generation Customer Experience Chief Customer Officer

Purposeful Enterprise Collaboration Report Published by Constellation Research

Purposeful Enterprise Collaboration Report Published by Constellation Research

Alan LepofskyMoving beyond simple sharing to getting work done

Making collaboration an integral part of the business process

Download the report snapshot

Today Constellation Research announced the publication of Enterprise Collaboration Software: From Simple Sharing to Purposeful Collaboration by Constellation Vice President and Principal Analyst, Alan Lepofsky. Collaboration software has evolved beyond simple sharing, and is now a powerful tool teams can use to get work done. Lepofsky examines this evolution and provides prescriptions for enterprises seeking to extract maximum business value from these new, powerful collaboration platforms.

This report examines:

  • The three generations of collaboration platforms:
  1. Enterprise 2.0: The rise of social networks for business
  2. Getting Work Done: Social adds integrated enterprise applications
  3. Purposeful Collaboration: Native social functionality within core business applications and the three approaches vendors are taking to deliver purposeful collaboration
  • Things organizations need to consider when planning the business transformation required to be a social business.
  • Key Elements To Consider When Evaluating Vendors
  • Purposeful Collaboration Will Drive the Greatest Business Value: Constellation expects these purposeful collaboration platforms to make impact in: Sales, Marketing, Human Capital Management, Customer Engagement, Development/Engineering, Resource or Supply Chain Management and Business Operations.

“The enterprise collaboration market has spent the last few years in what I call the “training wheels” stage, as employees have been slowly getting used to working in a more open manner.” Now it’s time to move beyond simply sharing information and learn how to enhance the business processes that support the core functions of people’s jobs with collaboration features that will help them get their work done more effectively,” said report author, Alan Lepofsky

This report fits into Constellation’s business-focused research theme, The Future of Work.

ABOUT Alan Lepofsky

Alan Lepofsky is Vice President and Principal Analyst covering collaboration tools, social task management platforms, and the next generation of content creation and sharing. Alan’s current research focuses on helping colleagues work together, and how organizations can be more engaged with their partners and customers.

COORDINATES

Profile: http://constellationr.com/users/alanlepo
Twitter: www.twitter.com/alanlepo
Linkedinhttp://ca.linkedin.com/in/alanlepo
Geo: Toronto, Ontario, Canada

THE REPORT
Enterprise Collaboration Software: From Simple Sharing to Purposeful Collaboration can be found here: http://www.constellationr.com/research/enterprise-collaboration-software-simple-sharing-purposeful-collaboration

Press Contacts:
Contact the Media and Influencers relations team at [email protected] for interviews with analysts.

Sales Contacts:
Contact our sales team at [email protected].

 

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