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Event Report - OpenStack Summit 2016

Event Report - OpenStack Summit 2016

We had the opportunity to attend OpenStack Summit in Austin this week, our first visit of an OpenStack Summit. Always good to see first hand and in person on how well community, vendors and ecosystem are doing. In short - OpenStack is doing well, growing up and maturing (there are pros and cons to it, more below).

 

So take a look at this video for my overall event report (and see my Day #1 blog post here):

 

No time to watch? Check out the 2 slide summary:

 
More time - read on:
 
Tough to pick the Top 3 takeaways - but here you go:
 
  • OpenStack grows up - I spoke to many OpenStack veterans, including 4 'original' attendees of the very first summit in Austin... and they all see more of an enterprise attendance, more 'suits' and interest from enterprises. That's a welcome and good development.
     
  • Great Story for ISVs and Telcos - but the rest? -  OpenStack has become the de-facto standard for network and device virtualization - with all the benefits of opensource (one major being... 'it's free') as well as for ISVs sitting on complex architectures and looking for ways to move their data centers to a standard, IT accepted offering (e.g. SAP and Workday were presenting). The question is - what about the rest of the enterprise spectrum. We heard encouraging statements from WalMart and WellsFargo - but they were less flamboyant than the 'all in' messages we hear at the public cloud events. An area to watch.
     
  • Right Themes for Mitaka - but where is the sizzle? - Keeping the focus on manageability and usability makes of course a lo of sense for OpenStack, but the community needs to be careful to not spend too much time looking in the rear view mirror. Key innovative cloud areas like Microservice Management, Serverles Architecture, Machine Learning, Bots, In Memory advances, Big Data securing and even security are not land mark items going forward (for now). This is a very challenge of the nature of OpenSource, enterprises and people need to spend time and money to make things work - and sometimes making things work takes a longer time. In the meantime the next innovation pops up somewhere else. In the meantime all these innovative areas offer a differentiation strategy to all OpenStack players - but that can also lead to more fragmentation, with the risk of loosing interoperability and the vendor diversity advantages of OpenStack (see IBM's attempt to stop that in general here). 
 

MyPOV

Good progress by OpenStack. The community has weathered the significant reduction of commitment of a large member (HP) well, and it looks like the roadmap and projects have not taken (too much) of a hit. Good to see more attendees, over 50% first time attendees show an interest beyond the early adopters. And projects are maturing, which on the one side is good to see - but OpenStack may have a 'pipeline' problem. 2013 efforts were balanced across 'Proof of Concept (POC)' / Test and Production - now Production has doubled (good) but the percenage of members in POC mode has gone down to 50% (see below). Are still enough new members looking at OpenStack? 
 
 
OpenStack will have to work hard to keep up the value proposition and create growth vis a vis the prominent public cloud vendors. 2016 and the future will be different as many (e.g. IBM, Microsoft and Oracle) now offer the cloud stack on premises, too - which reduces the value of one of the key OpenStack arguments. We will be watching...
 
Still not enough - check out my Storify collections of Day #1 (here), Day #2 (below) and the Analyst Summit (here). 
 
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here
 
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From the Internet of Things, to the Analytics of Things focusing on new forms of Analytics coupled to Smart Services.

From the Internet of Things, to the Analytics of Things focusing on new forms of Analytics coupled to Smart Services.

The Internet of Things has been experiencing the full on hype phase as the ceaseless barrage of statistics as to the numbers of things that will be connected. Fortunately this is fading out to be replaced with meaningful experiences on where, and how, the business value is to be found. The Analytics of Things, or AoT, is a new, and welcome part of this shift delivered from some well-respected data analytic technology companies.

The introduction of the term AoT draws attention to the new data and its value being generated both by IoT devices, and Smart Services. As with all data there is a requirement to analysis, but in this case it will introduce new types of Analytics. AoT also refers to the use of analytics in making connected devices smart and able to take intelligent action.  For more details see Deloittes; AoT – a short take on Analytics

Previous blogs in this series have dwelt on the new and innovative ability to use ‘real-time’ data to be able react in an optimized manner not previously possible. The introduction of Smart Services as the mechanism for this, using Complex Event Processing is a significant change enabled by IoT sourced data. The most recent blog illustrated the application of these capabilities in a Smart City Technology and Business conceptual architecture, and included the need for the advanced Analytics of AoT.

IoT is still in the development stage of understanding for many people so adding the even less understood topic of AoT seems almost counter productive. If anything seems familiar it will be the Analytic part though this is wrongly assumed to be part of Big Data Analytics. AoT is concerned with wholly different data which in turn has the capability to reveal very different outcomes from existing reports.

In the blog on Smart City Architecture a simple Smart Service use case ‘Find me Parking’, demonstrated interactions between Smart Services by adding a further Smart Service providing route planning with traffic jam avoidance. Obviously these services are aimed at Citizens, but there are substantial benefits to the City Administration from analyzing the radically different data that Smart Services produce. Three simple examples of the data available are;

  1. Query inputs from citizens providing their starting geo-location as well as their intended destination geo-location
  2. The true total demand for Parking including requests that were unfulfilled, as well as the amount of time a car was on the streets waiting for a parking bay to become available.
  3. The routes used and the changes introduced by this traffic, as well as journeys abandoned due to traffic or non availability of a parking bay.

It would be difficult, and expensive, to obtain any of this data by other means such as personal surveys, or checkpoints. But the real point is that each of these three data outputs is generated within the context of an event, or citizen activity; and shows both failed, and successful, activity event chains and outcomes.

AoT explores new sources of data from Smart Service requests, and outcomes, adding entirely new, and original, data sets that have not been available from traditional sources. IoT enabled Smart Services bring the capability to apply entirely new high value analytics.

There is also data available from direct-coupled IoT sensors, many of these sources are now new, and examples include; sensing Buses passing route points to check if they are on time; various traffic flow sensing schemes; traffic light maintenance and other directly sensed conditions. All produce data inputs to AoT, but often the individual sensors have too low values for AoT advanced Analytics.  While valuable these inputs remain more suited to validate existing planning and scheduling applications, and reporting analytics.

AoT is not yet a fully developed set of technologies products and methods, but the possibilities are becoming increasingly recognized as IoT enabled Smart Services are becoming more widespread. Interesting articles have started to appear outlining the importance of the topic, with the crucial association to ‘Smart’; the Wall Street Journal Blog The Analytics of Things and Deloittes Short Take on Analytics are examples.

Some companies that are well respected in the ‘data’ sector are active proponents of AoT; including IBM, and Teradata, each having developed specific approaches and products for this wholly new branch of Analytics. Other technology companies together with Startups are active, and there is a strong link between AoT and AI, or Artificial Intelligence.

The IBM ‘Watson’ initiative, is an example of this broader approach being defined as a cognitive reckoning engine thus fusing the broader implications of AI with AoT. However the IBM approach certainly does contain the mix of people, unstructured data and IoT based smart inputs that are the basis for AoT. IBM’s acquisition of the Weather Channel is an interesting example of simple sensor data being turned into a Smart Service of Weather Forecasting. The forecast data is then consumed in further Analytical analysis in combination with other Smart Services.

IBM, in common with other providers of AoT capabilities sees this new generation of unique outcomes being used to construct and refine the rules for Smart Services Complex Event Processing engines. This continuous refinement made possible by the interactive relationship between AoT, IoT and Smart Services is claimed to lead in the direction of Cognitive Reckoning and AI.

The earlier example of the Smart Parking and Smart Routing Services feeding new data to AoT illustrated just how this provides a very different view of parking and traffic activities. Using these results to adjustments City Planning and traffic models will lead to new insights being made available to both services to further refine the optimization of their outcomes. AoT adds significant new value, but will also need significant new skills.

Teradata have recently introduced a new business unit specializing in AoT deployments, this builds on the release at the beginning of 2014 of Teradata Aster-GR to add Graph capabilities to the flagship Teradata Aster Discovery Platform 6. Shifting to managing and exploring data by means of Graphs is an important principle underpinning much of the use of IoT data, and therefore AoT, see blog From Relational Databases to Graph.

Teradata used their online magazine to publish a description of the Aster-GR capability and how it integrates with other data in different formats in an article entitled ‘Hands-On’. Teradata has a more technically detailed paper entitled SAS/Access – interface to Teradata produced in conjunction with SAS, (a well respected name in advanced Analytics) on how to integrate solutions.

If you work in Analytics and figure that Big Data, and Data Lakes, are as far as the technology has advanced then its time to take a fresh look at the topic. Google AoT, or Analysis of Things, to find a range of content on the new fresh capabilities that it introduces. As Smart Services, based on IoT, become established as the real definition of the Digital Service economy then AoT moves to the forefront of delivering business and competitive value.

An important part of the research is to carefully check out how AoT will function in association with an Enterprise Data Warehouse; the good news is that this may be a whole lot simpler than expected. As an example Teradata accepts direct IoT data inputs for processing and aggregation into the existing data. 

New C-Suite

IBM Boosts Support to OpenStack's RefStack

IBM Boosts Support to OpenStack's RefStack

A first serious attempt to make OpenStack interoperability real.

During OpenStack Summit in Austin, probably close to a hundred press releases have been published, tough to find the most important one, but this one from IBM stood out for me. Interoperabiity has always been a promise of the OpenStack community and vendors, but it is tough to prove it (and build for it). 

 

So let’s dissect the press release in our customary style (it can be found here):
Austin, Texas - 26 Apr 2016: In a move to drive greater cloud interoperability, IBM (NYSE: IBM) today announced it has contributed significant new features to the RefStack Project, which was created as part of the OpenStack community’s effort to drive interoperability across clouds. The ability to move data and apps from one cloud to another is a major obstacle in the evolution of cloud and business.
MyPOV – Defines well what this is about, making interoperability real.
RefStack, officially launched last year and to which IBM is the lead contributor, is a critical pillar of IBM’s commitment to ensuring an open cloud – helping to progress the company’s long-term vision of mitigating vendor lock-in and enabling developers to use the best combination of cloud services and APIs for their needs.
MyPOV – Good to see the history, and a major OpenStack player like IBM getting serious about interoperability.
RefStack’s new functionality includes improved usability, stability and other upgrades, ensuring better cohesion and integration of cloud workloads running on OpenStack.

RefStack testing ensures core operability across the OpenStack ecosystem, and passing RefStack is a prerequisite for all OpenStack certified cloud platforms. By working on cloud platforms which are OpenStack certified, developers will know their workloads are portable across IBM Cloud and the OpenStack community.
MyPOV – More explanation, good to see the importance of RefStack.
 
“The OpenStack ecosystem is very rich and rapidly evolving, and provides an extremely strong foundation for real interoperability. However, achieving this will require deep, sustained collaboration across the open community,” said Angel Diaz, Vice President of Cloud Architecture and Technology at IBM. “We are ready and willing to work with every single OpenStack cloud provider on this, and are challenging the OpenStack community to collaborate with us. We are determined to provide customers with the flexibility they want – regardless of their provider – so that they have a global platform for business and innovation.”
MyPOV – Good quote from Diaz – the sad part is that IBM needs to ‘challenge’ the OpenStack community. As vendor ‘diversity’ was a key argument made in the OpenStack keynotes here in Austin this week, would be good to see that the support for interoperability would be a ‘normal’ step and not a challenge.
 
At the OpenStack Summit in Austin, Texas, IBM also announced a formal challenge to community members, asking them to pledge participation in the first-ever October 2016 Interop Challenge. This project will directly work towards building a core language between OpenStack cloud providers by building and deploying test cases for real-world activities performed by everyday users of OpenStack across environments. In October 2016, it will culminate in a public demonstration of interoperability across on-premises, public and hybrid OpenStack cloud deployments.
MyPOV – Good to see a real challenge, will be good to learn more about the details and if there are any other OpenStack members taking up the challenge.
 
As the primary resource for cloud providers to test OpenStack compatibility, RefStack also maintains a central repository and API for test data, allowing community members visibility into interoperability across OpenStack platforms.

The specific upgrades to the upcoming RefStack release include:
- User functionality and usability enhancements to allow easier, more streamlined visibility into test data for OpenStack release compatibility.
- Tempest plug-in enablement to allow users to expand existing test suites to include external test cases.
- Stability enhancements to expand the availability of the RefStack service and support a growing number of RefStack users.
- Additionally, RefStack will soon enable vendor registration, allowing community members to easily correlate test results in RefStack’s central repository with specific OpenStack vendors – ensuring results are more transparent.
MyPOV – Good to see what is coming soon on the RefStack side
 

Overall MyPOV

Good to see an OpenStack member stepping up to an attempt to make the OpenStack interoperability and portability more tangible. Practically all vendors in the field mention this as an advantage, but a heterogeneous ecosystem like OpenStack needs to work harder at making this not only marketing slide ware but real tangible and proven benefits. That is hard work and cost for the vendors involved, with the ultimate risk that loads become portable to the point at being lost from from vendor A to vendor B. So a good topic to talk about, a less attractice one to make really work in practice. To be fair – stickiness is a feature all enterprise software players strive for…

A look at the contributors (courtesy of stackalytics.com) shows IBM (274 person days), Mirantis (107) and Indendents (70) shows who is working on making RefStack real. It’s not clear what the other vendors will need to do – but I am sure a few vendors will now read up on the RefSteak project. That alone is a benefit for OpenStack.

The ultimate drive for the challenge would be customer endorsement – all the way to making RefStack test cases part of the RFP and operating SLAs – going beyond the self-policing of the community. We will be watching – stay tuned.

Check out my first take on OpenStack Summit here.
 
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Professional On-line Networks - Professional or Social? Or both?

Professional On-line Networks - Professional or Social? Or both?

1

Overly-social posts on professional networks like LinkedIn solicit a "Put that on Facebook!" reaction from many. But is the line between those networks and purely social media really clear?

Early in the morning of  September 14th 2015, a young man in rural Connecticut woke up and headed downstairs for breakfast. Somehow, he tripped and fell down the entire flight of twenty stairs, hitting his head so hard that it split the inch-thick-maple bottom step in two. His severe traumatic brain injury was of the kind seen mostly in high-speed car crashes or helmet-less skiing accidents, and triggered an epic of extreme surgeries (including a hemi-craniotomy), near-death (twice), excruciating rehabilitation and prolonged trauma undergone not only by himself but by his newly-wed wife and their entire families. 

The day after the accident, my good friend John Licata, the young man's father-in law, posted a short piece on both FaceBook and LinkedIn to ask for prayers and understanding. Despite the outpouring of support on LinkedIn (close to 40,000 "likes" and nearly as many comments), the negative reaction was vehement enough for John to remove the post. Why would some people react so badly? Are they right to defend the "professional purity" of LinkedIn? Where is a reasonable place to draw the line? 

More than a Network, a Virtual Workspace

The success of LinkedIn in particular has made it an extension of our workplace, and a vital tool in our daily interaction with colleagues and business associates, particularly so for those with outward-facing jobs like sales and marketing. In fact, the workplace extension theory holds true for anyone who realizes that well-managed professional networks are just good business and good career curation. No huge leap then to suggest that the behaviors we apply to our physical workplaces are also applicable to professional cyberspaces like LinkedIn. 

Following a traumatic personal event, informing colleagues and business associates is a professionally responsible thing to do to. It allows them to cover for you, to give you the time and space you need to be with loved-ones, and to provide the moral support that will likely get you back to work sooner. Why then would it not be responsible to share such news with one's extended professional network? A traumatic event that disrupts one’s personal and professional  life cannot be compared to a purely social video post of mom's chihuahua doing a backflip! I believe that in many cases LinkedIn reaches into a distinctly grey - and yes, somewhat FaceBook-like area - that we should not only tolerate but cultivate. 

"Friends with Boundaries"

Why cultivate? Firstly because cultivation means control, whereas outright rejection means all bets are off and we lose the ability to moderate our environment. But most importantly we should embrace this space because our highly valued business connections are also our friends at some level - perhaps "friends with boundaries" - but friends nonetheless. How often do you hear someone saying that doing business is only worthwhile if it's conducted with people they like and trust? Isn't that at least part of the definition of a friend?  

Know, Like, Trust

This grey area on LinkedIn is arguably the best part of the service precisely because it is where the truly valuable interactions take place - right in the "Know, Like, Trust" cocoon, which is neither coldly professional nor trivially social - the Goldilocks Space, if you will. It's a space to be nurtured, protected from the narcissism and voyeurism of more social platforms, and used to all of our great and mutual benefit. Besides the obviously practical advantages, appropriate personal insights give our professional relationships humanity, which in the final analysis, makes it all worthwhile.

Dare to be Professionally Social

Our professional lives and businesses have a strong and important social component, which translates well to the online environment. Networks like Linkedin are a highly social, even if professional. I would suggest that if people like John use our trusted space to share personal events, that have clear impact on their professional lives, we should welcome them. So even if your news is personal, if you'd share it - appropriately - in the office, with colleagues or with clients, share it within your professional on-line networks too! It's part of your professional workspace. 

Footnote: Thankfully and miraculously, John's son-in-law is now recovering well, and recently returned to work, thanks in no small part to networks, personal and professional, online and off. 

Future of Work Chief Executive Officer

Demandware Making The Cloud Rain & Mobile Continues to Dominate Retail

Demandware Making The Cloud Rain & Mobile Continues to Dominate Retail

Earlier this month I was in sunny Florida at the Demandware XChange conference. A gathering of some of the biggest retail brand names – the likes of Cole Haan, Carter’s, vineyard vines, Party City to name a few, also spent time with me in Florida. With over 1400 attendees representing 600 customers, the event attracted a wide swath of brands and retailers.

The biggest message from the event was the dominance mobile has commanded over the retail world. This is something that has long been resonating in the space. When it comes to connecting with the consumer, the mobile phone is firmly entrenched as the de facto touch point. No surprise since many would rather lose their wallet rather than their iPhone. Therefore it is imperative for retailers to focus on the phone to be central to their consumer facing focus. The main takeaways from the event:

  • Mobile is the thread that ties in commerce: Mobile phones are always with us – they are the one constant within the commerce ecosystem. This is specific to mobile phones, as tablets are not regarded as “mobile” but more along the same lines as computers. Retailers need to focus on a mobile first strategy. Retailers need to keep in mind that mobile is not simply about reaching conversions via that form factor – rather that mobile plays a role with regards to influencing conversions regardless of where they take place. Conversations between the brand and consumers via mobile can drive conversions – regardless if they are happening on that phone or via a physical store and even through a non-mobile web site.
  • Don’t ignore important signals your customers are throwing off: There was a time when abandoned shopping carts were viewed with disdain. While retailers still want to see the highest percentages of shopping carts converted, there is some interesting information to be gathered from what products your consumers place in their shopping carts and why they don’t convert. Savvy retailers are looking at these actions by consumers and learning from them. There is also an opportunity to learn from you consumer’s social actions. Tying in buying functions with social sites such as Pinterest, allows retailers to take advantage of how their consumers’ are behaving and interacting. The lesson – find places where your consumer is sharing insights, ideas and potential demands and figure out how to take advantage of this data.
  • Don’t forget the store labor! A major theme we have seen with retail is the growing importance of labor within the commerce ecosystem. Brands such as Party City are leaning on in store technologies to empower their store associates. Not only for more frictionless interactions between store associate and consumer, but also how to better handle inventory. The labor also needs to lean on the mobile access to information and data. Retailers such as Party City lean on seasonal pop up stores to drive sales around such events such as Halloween. The need for a mobile and flexible in store solution is even more imperative to keep up with these changing retail delivery points.

Demandware and their customers are focused on some key topics facing retailers – all focused on the importance of mobile. The question remains how much can the fulfillment side of the retail supply chain weave into this mobile strategy? As consumers continue to influence the retail supply chain, retailers will also need to adopt a more flexible and responsive fulfillment strategy to integrate with their mobile strategy.

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How GM Uses Social Media to Listen and Engage Customers

How GM Uses Social Media to Listen and Engage Customers

Having worked for GM years ago and lived in Detroit, the motor capital, it was really interesting to see how GM is using social media to listen and engage customers – in marketing as well as customer service. This new case study shows the depth and strength of how GM is taking advantage of what social media can provide to the business. What’s interesting – and if you follow me, you know I am an ROI gal – is that GM was able to trace their social interactions to actual car sales. And that’s really where the rubber meets the road. Social media has huge implications to business – many of them not obvious to many – but over the years I’ve spent a lot of time understanding how social media provides business value.

For more information on this report, you can find it here.

how GM listens in social media for marketing and customer service @drnatalie

For other reports on ROI of online communities, ROI of customer care, ROI of agile customer serviceNine Pillars of Successful Digital Customer Experience and Self-service, How General Motors Listens to Customers on Social Media, you can find more info to help your business understand why it’s important to take social and digital media very serious.

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Next-Generation Customer Experience Oracle Chief Customer Officer

OpenStack Summit 2016 - Good start - and a Telco focus

OpenStack Summit 2016 - Good start - and a Telco focus

We have the opportunity to attend OpenStack Summit 2016, happening in Austin from April 24th till 27th 2016, held at the Austin convention center. Good to see OpenStack coming back to the roots and showing good interest with 7500 attendees.



 

So let's take a look at the takeaways in this video:



 

No time to watch - checkout my takeaways in the two slides below on Slideshare:



 

Time to read on - here is my view:



 

MyPOV

Good to see OpenStack come back to its roots in Austin. I was positive surprised by the attendance of 7500, good to see - as well as substantial investment by Openstack partners in marketing and entertainment. Though industry heavyweights like IBM and HP were not part of the keynote, the keynote was still done well. At times I felt presenters were out of synch with the audience, that said - not sure what the audience composure was, but I assume the same mix like at other cloud vendor events. 
 
Kudos to OpenStack for starting the certification process, always something that helps enterprises gain confidence on service capability and service success around new, innovative technologies. And it is clear that NFV / SDN for Telcos runs on Openstack, with both AT&T and Verizon being part of the keynote.  Equally ISVs are taking up OpenStack, with SAP keynoting and Workday being mentioned more than once. The question is - what confidence does this give to the average commercial enterprise. I asked a panel in the press Q&A on the largest commercial uptakes and the answers were the usual suspects of Walmart, eBay and Paypal... which is good that they keep investing, not so good as there is no new name in the fold.
 
Stay tuned fore more updates from OpenStack Summit, follow me on Twitter @holgermu and #OpenstackSummit. 


Sill not enough - check out the collection of my tweets below .. and more interesting blog posts. 

 
More Musings
  • Musings - We are entering the age of the Über Super Computer - read here
  • Musings - The Bots are coming to your conversation - what are the implications? - read here
  • Musings - Will Microsoft's Hololens transform the Future of Work? Read here
  • Musings - Implications for CxOs from the DoJ vs Apple tussle - read here
  • Musings - Retail is the breeding ground for NextGen Apps - read here
  • Musings – Time to re-invent email – for real! Read here
  • The Dilemma with Cloud Infrastructure updates - read here
  • Are we witnessing the Rise of the Enterprise Cloud? Read here
  • What are true Analytics - a Manifesto. Read here
  • Is TransBoarding the Future of Talent Management? Read here
  • How Technology Innovation fuels Recruiting and disrupts the Laggards - read here
  • Musings - The era of the No Design Database - read here
  • Musings - What is the future of Recruiting? Read here
  • Musings - Future of Work - is Voice part of it? Post Cortana debut reflections - read here
  • Musings - Can a HANA cloud be elastic? Tough - read here
 
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here

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Digital Transformation Must Move Beyond The Hiring Of A Chief Digital Officer

Digital Transformation Must Move Beyond The Hiring Of A Chief Digital Officer

Digital Transformation Kicks Into High Gear As A Boardroom Priority Yet Most Leaders Unprepared

Whether it’s the fact that 52% of the Fortune 500 have been merged, acquired, gone bankrupt, or just fell of the list, or maybe it’s the paranoia that a small startup anywhere in the world can disrupt the established business models of existing giants, digital transformation has emerged as a top 10 priority in the global board room.  With the board applying pressure to management teams to “go digital” and “disrupt or be disrupted”, most innovative organizations have taken the first step by appointing a Chief Digital Officer.  However, in conversations with over 100 organizations engaged in digital transformation, the appointment of a Chief Digital Officer alone will not resolve the overall needs to make the shift.

Success Requires More Than Just A Chief Digital Officer

While the Chief Digital officer plays a major role in identifying, orchestrating, and evangelizing digital transformation, successful organizations have mobilized their leadership and driven the executive buy-in required for success.  These market leading organizations have progressively applied the seven ABC’s of digital transformation adoption and :

  1. Appointed a senior level executive to the post of Chief Digital Officer
  2. Brought design thinking approaches to the business
  3. Crafted innovation programs and launched innovation labs
  4. Developed programs to bring innovation concepts to business model execution
  5. Embraced a culture of digital artisans and change agents
  6. Fostered partner ecosystems for co-innovation and co-creation
  7. Given middle managers latitude to fail fast and learn even more quickly

Lesson Learned From Over 100 Organizations Show The Power Of A Change Agent Culture

Digital transformation by nature must disrupt existing business models.  The inertia of doing nothing is powerful.  The will to change even harder.  The FCC’s CIO, Dr. David Bray often talks about the need for change agents.  He’s wildly correct.   At a recent client innovation summit in Dubai, market leaders shared similar lessons learned in digital transformation and innovation programs.  For most of these market leading companies, success required their teams to over come items 4 and 5 on the adoption scale.  Taking concepts to business model execution required executive leaders to pull the trigger and take risks instead of just accepting the status quo.  Embracing a culture of digital artisans and change agents tested an organizations appetite for celebrating failure and building from mistakes.

The challenge for successful organizations is disrupting their existing business.  The challenge for organizations being disrupted is finding the leadership to drive the cultural challenge.  Board members need to understand that results do not come overnight.  More importantly, digital transformation ultimately requires the organization’s DNA to change and they need air cover from their boards to make it happen.

Your POV.

How are you preparing for digital transformation?  Would you like to hear what other organizations have embarked on?  Would you like us to present to your boardroom?  Learn how non-digital organizations can apply a road map to disrupt digital businesses in the best-selling Harvard Business Review Press book Disrupting Digital. 

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

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

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

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The post Monday’s Musings: Why Digital Transformation Must Move Beyond The Hiring Of A Chief Digital Officer appeared first on A Software Insider's Point of View.

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SAS Goes Cloud, But Will Customers Follow?

SAS Goes Cloud, But Will Customers Follow?

SAS Viya delivers cloud-ready architecture for multiple public and private deployment scenarios. But will it appeal to next-gen customers looking for new analytics options?

To attend a SAS Global Forum user conference is to be reminded of just how big a footprint the analytics giant has. This week’s event in Las Vegas attracted more than 5,000 thousand attendees, and to meet and talk to many of them was to understand that they’re not, for the most part, early adopters looking to pioneer new approaches. It’s an older and more well-established crowd than you see at your average tech event.

Their embrace of analytics notwithstanding, SAS customers tend to be cautious adopters, so I have to wonder how quickly they’ll take to the two big announcements made at #SASGF. The biggest announcement was SAS Viya, which is SAS’s next-generation architecture for running its software in private and public clouds. It’s a big advance over SAS’ previous cloud approach, which amounted to hosting and managed services. SAS Viya introduces microservices, REST APIs and even the option to use open languages including Python, Lua and Java.

Viya is set to become generally available in Q3 to be deployed using industry-standard technologies for Bare OS and cloud deployment. Cloud deployment and orchestration of SAS Viya will be achieved using Cloud Foundry, which will provide multi-cloud support for OpenStack, VMWare, Amazon Web services, Microsoft Azure, and other cloud infrastructure providers. Within the next month a SAS Viya preview will be available.

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The second announcement this week was Customer Intelligence 360, an all-new, software-as-a-service-based marketing analytics suite aimed at digital channels. Customer Intelligence 360 is available immediately with modules on AWS for Web and Mobile channels; email and social modules will follow later this year, says SAS.

Customer Intelligence 360 is not a cloud-based alternative to the vendor’s incumbent on-premises offering, SAS Customer Intelligence. Rather, Customer Intelligence 360 complements that product, focusing on digital marketing channels and execution. It links to on-premises Customer Intelligence deployments to gain the proverbial 360-degree view of customer behavior.

Will Customers Follow?

I’m not alone in sizing up SAS customers as mostly cautious adopters. A SAS data warehousing partner confided to me that many customers say “don’t mess with my code” when he suggests that they embrace in-database processing options introduced as early as 2007 and in-memory options introduced in 2012.

Of course, not every SAS customer is technologically conservative. I sat in on a nice presentation by Neil Chandler and Andy Wolfe of U.K.-based e-retailer Shop Direct, which stores its data in a Hadoop data lake. Apache Cassandra/DataStax is used to serve that data to a SAS stack running on Amazon Web Services. What’s more, the analytics are integrated with the retailer’s transactional environment so it can deliver contextually relevant, personalized content and offers to customers in real time as they shop online.

SAS Viya would have saved Shop Direct a lot of trouble, commented Andy Wolfe. But it wasn’t available when the company decided to run SAS on AWS two years ago. No doubt SAS customers who are fast followers will embrace Viya as a way to accelerate private- and public-cloud initiatives involving analytics. The architecture will insulate most of their users from having to deal with or think about third-party cloud tools.

SAS put a big emphasis on compatibility with existing SAS software when it designed Viya and when it talked about it at SAS Global Forum. The on-stage demos featured scenarios in which data and models were moved from on-premises SAS deployments up into Viya and results were returned back to the on-premises world.

So will the many cautious adopters be tempted to experiment with cloud compute scalability and new options coming with Viya such as the new machine learning suite (one of the bright spots in the announcement)? That partner I talked to said many SAS customers don’t change their ways until new CIOs or CMOs show up and demand at least experimentation with cloud deployment, big data platforms like Hadoop and open source analytics. In short, I’m guessing Customer Intelligence 360, the much more straight-forward SaaS offering, might see more robust adoption than SAS Viya over the next year or two.

MyPOV on SAS Viya, Customer Intelligence 360

SAS Viya is a positive, if overdue, step that SAS needed to take. What’s not clear is the degree to which SAS will break from its traditional licensing and maintenance model. Analytics work tends to be spikey, so true cloud elasticity, where you can use and pay for the software only when you need it, is hugely attractive. A pay-as-you-go, analytics-as-a-service offering will be introduced along with SAS Viya, but from what I saw it will be a very limited offering – at least initially.

In my book, the as-a-service machine learning and analytics options being amassed by the likes of Amazon, Google and Microsoft (as well as those offered by partners on the same platforms) are the most significant threat to SAS in the long term. IBM, meanwhile, is porting its commercial analytics software to run on Apache Spark, offering cloud-delivery options and counting on an open source halo effect.

SAS Viya was clearly developed with existing SAS customers in mind, giving them an avenue to cloud scalability and performance. But I suspect that companies that are embracing new approaches will take a long, hard look at as-a-service options (including open source in the cloud) before making a significant, ongoing commitment to run SAS software in the cloud.

As for CI360, it’s another product that’s most attractive to existing SAS customers – namely those using SAS Customer Intelligence. In fact, the cloud app's promised ability to “unite data from all channels” presumes that you have SAS CI on-premises (or hosted) capturing information on customer behavior on traditional (non-digital) marketing channels. So I suspect the vast majority of uptake will be from existing SAS customers rather than from new customers using Customer Intelligence 360 in stand-alone fashion.

SAS, like IBM, Microsoft, Oracle, Teradata and other blue chip incumbents, has the luxury of a great big customer base, and in SAS’s case they’re mostly very happy and loyal. The trick will be reinventing the business enough to attract new customers without breaking the model of its existing business


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Box and Cognizant Partner To Develop Industry Applications

Box and Cognizant Partner To Develop Industry Applications

Today enterprise content management vendor Box and and business IT consulting firm Cognizant announced a partnership to develop industry specific applications. This is similar to the announcement Box and IBM made in June of 2015. 

MyPOV: It's good to see Box continuing to expand the ecosystem of partners that are leveraging the Box platform to build applications. This continues to validate their evolution from just enterprise file synchronization, storage and sharing to being a platform that can be used for the enterprise content management, workflow and security aspects of industry specific applications.

Here is short video of my thoughts on today's announcement:

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