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Water shortage – supply chain disruption that isn’t easily avoided

Water shortage – supply chain disruption that isn’t easily avoided

The headlines about the California drought have been a constant drum beat about the issues we face with this most vital of global resources. Of course when you look at what we here in New England suffered through this winter, it is hard to fathom a water shortage! Sometimes it is also surprising to read about water issues when over 70% of the planet is covered by water. But much of that water is not fresh water, only 2.5% of the global water is fresh water, and of that 70% is trapped in the icecaps of Antarctica and Greenland. Access to fresh water will continue to be a major global issue. And an underlying one for our supply chains.

  • Agriculture – no surprise here. The numbers from California demonstrate the heavy reliance on water usage. With the Golden State’s farms using a whopping 80% of the state’s water – it is clear this industry remains a leader when it comes to water consumption. Couple this with a growing global population, the agriculture supply chain will find itself under greater strain to meet this demand while controlling their Final-gallons-per-food_2usage of water. It will be interesting to see if this supply chain starts employing tactics that we are seeing in manufacturing – near shoring. When states like California supply 80% of the global almond supply, yet that crop consumes 10% of California’s water – or 1.1 gallons per almond. Granted it is easier said than done since crops require much more than just water – soil and weather play major factors in crop growth. But moving crops to different location is not that easy.
  • Manufacturing – industries such as chemical, beverage, steel, paper production to name a few are heavily reliant on water. By some estimates it takes 80,000 gallons of water to produce on automobile, 700 gallons on water for one cotton shirt and 24 gallons of water for 1lb of plastic. Supply chains have become more efficient when it comes to the manufacturing process, reducing some of the water strain from that angle. However, as our product supply chains are introducing products at a faster pace, and therefore taking out goods from the supply chain at an increased pace – the strain on the water usage is under pressure from that perspective.
  • Future of work – these water issues are not simply about how we produce goods, but the workers within the supply chain are also impacted. It goes beyond Californians’ not being able to water their lawns and their quality of life. But in regions such as northern China, parts of India, the Middle East and sub Saharan Africa the issue of water directly impacts the work force. While some of these regions might offer affordable labor and new markets, if that population is more concerned about securing water that will impact their roles as workers as well as consumers.

The bottom line is the latest water shortage in California is a reminder that natural disruptions are omnipresent within our supply chains. Of course our supply chains cannot control natural occurrences such as droughts. But when it comes to simulating our supply chain networks, determining our planning and sourcing we must factor the possibility of these disruptions.  Our supply chains function in a system that is still driven by natural forces. Those are variables we are the mercy of…understand how they can impact your supply chain. Ignore them at your own peril.

Matrix Commerce Sales Marketing Next-Generation Customer Experience Innovation & Product-led Growth Tech Optimization Data to Decisions Supply Chain Automation Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software IoT Blockchain ERP Leadership Collaboration M&A Chief Supply Chain Officer

GetSatisfaction: The Controversy Cannot Hide The Facts

GetSatisfaction: The Controversy Cannot Hide The Facts

1

If you follow the news you know that GetSatisfaction was acquired by Sprinklr last week (link to press coverage).

Almost immediately the press and analysts went into congratulatory overdrive.  However, shortly after the acquisition was announced, less than flattering news about the transaction trickled out – including this piece on Business Insider today (grain of salt: its business insider – the yellow press of business journalism) where one of the founders complain.

It is not, as you likely know by now, my place to take sides on fights that don’t involve me.  Ask my daughters – broken bones (sticking out) and blood are the only two reasons I get involved (thankfully never got to that).  Let the parties figure out the reasons for the fight and better yet – the reasons not to.

There are two issues though, that bear analyzing:

  1. the role of communities in marketplaces and workplaces
  2. the proper way to fund and support a startup

I’ll make it easy – I cannot contribute something worthwhile to the second one in a blog post; it is a very customized-personalized thing that changes from one to the next and whoever says different is just selling you a — well, their services.

I will gladly contribute to the first one – because i’ve been saying this for far longer than i remember: Michael Maoz (of Gartner fame and a good friend and former colleague while I was there) and I talked about this in 2002-2004 and then had to give it up since no one cared.

I wrote plenty about it before, including a difference between the many ways communities are shaping up to be.  Still, no one cared.

Now, y’all do.  Sort of – at least starting to.

Communities are (should’ve been) the only reason we started social networks and why social matters to organizations.  And they are the (renewable) power source for business transformation going forward.  Communities is something you, Mr/s. business person, should care about deeply – and yet, more than 85% of “youz” don’t.

I don’t have sufficient visibility into the dealings behind the acquisition, but I can tell you one thing: this is not the last.  If you look at the “communities providers” vendors they are all in the same: working through the resistance of 85% of the market that doesn’t get what communities are and what they do – and using the other 15% to propel them forward.

We will see more acquisitions like this very soon, in the next few months.  We will see more vendors with great technologies being folded into more complete social and even CRM suites.  We will see more dreams shattered (likely) and some realized.  We will see the beginning of the rise of communities to become mainstream (rule of thumb: 30% adoption in the marketplace) and to realize their potential.

One more thing: I am not talking about community managers and purposefully built communities.  That’s training wheels stuff when it comes to communities.

I am talking about the model that GetSatisfaction embraced and was unable to sustain in the market: ad-hoc, open, freely moldable and shapeable communities where people come to share power and knowledge – and no one controls or brands.

If you are interested in forums and structured communities you still don’t get the concept of communities for business.  This is not your grandpa communities – that was just more “training wheels” stuff.  This is about providing an infrastructure and let interested parties build and power communities.  Very different model than what you are thinking (and I know this because i talked to many of “you” every week).

What do you think? (comments below, use them)

Next-Generation Customer Experience B2C CX Chief Customer Officer Chief People Officer Chief Human Resources Officer

Decyphering Bitcoin and the Blockchain

Decyphering Bitcoin and the Blockchain

1

No doubt you’ll have heard about Bitcoin by now. It’s that disruptive technology that is keeping Financial Services CEOs awake at night. JP Morgan CEO, Jamie Dimon, in his annual letter to shareholders warned investors and the banking industry that “Silicon Valley is coming” – suggesting that there are hundreds of startups focusing on the financial services technology space (“fintech”) and that traditional banking will need to double down on its innovation efforts.

[Startups] … are very good at reducing the ‘pain points’ in that they can make loans in minutes, which might take banks weeks. We are going to work hard to make our services as seamless and competitive as theirs. And we also are completely comfortable with partnering where it makes sense.

But his particular focus on next generation payments systems like PayPal and Bitcoin were called out for special attention.

Here in Australia, these new systems have been the subject of a Senate Hearing Committee investigating digital currencies.

But how does Bitcoin work? Sean Carmody, Head of Credit Risk at Westpac put together this presentation that explains the technical underpinnings of Bitcoin – the blockchain. It explains:

  • Why virtual currencies are a happening thing – the perfect match for a virtual world
  • The problem with virtual currencies – how to prevent people simply “copying” a digital currency
  • The innovation in the “blockchain”

And while the presentation does get technical, it is also eye-opening. Technology may be transforming the way that currencies can operate (now and into the future) – but TRUST remains a vital ingredient in currency transactions. And as Sean suggests, Bitcoin may not be the winner in the digital currency race – but it has fired the starter’s gun.


Marketing Transformation Digital Safety, Privacy & Cybersecurity Innovation & Product-led Growth Matrix Commerce Data to Decisions Chief Information Officer

Email In Real Life

Email In Real Life

Kudos to my friends at Workfront for putting together this great parody on email.

Future of Work Sales Marketing Next-Generation Customer Experience Revenue & Growth Effectiveness Data to Decisions Innovation & Product-led Growth New C-Suite Digital Safety, Privacy & Cybersecurity Chief People Officer Chief Information Officer Chief Marketing Officer Chief Revenue Officer

Will LinkedIn & lynda.com Help Us Race With The Machines?

Will LinkedIn & lynda.com Help Us Race With The Machines?

1

Last year, 1,896 experts responded to questions from the Pew Research Center around how artificial intelligence and robotics will affect our work and lives by 2025. The group was about evenly split on whether more jobs would be created or destroyed, but they also gave more nuanced comments on the different themes underlying their thinking. One theme tightly related to my own research is summarized as, “Technology will free us from day-to-day drudgery, and allow us to define our relationship with “work” in a more positive and socially beneficial way.” Technology will change the nature of work. Technology can also help us cope with these changes.

LinkedIn and lynda.com

Think about LinkedIn. With 107 Million users in the United States and 347 Million worldwide, many of us have already gone to the effort of providing LinkedIn’s machines with our work history. Combine this with LinkedIn's recent announcement that they will pay $1.5 Billion for professional education company lynda.com.

Jeff Weiner, LinkedIn’s CEO is quoted in a press release:

The mission of LinkedIn and the mission of lynda.com are highly aligned. Both companies seek to help professionals be better at what they do…lynda.com’s extensive library of premium video content helps empower people to develop the skills needed to accelerate their careers. When integrated with the hundreds of millions of members and millions of jobs on LinkedIn, lynda.com can change the way in which people connect to opportunity.

Lifelong Learning Demanded by the Shrinking “Half-Life” of our Job Knowledge -- But Machines Can Help

Jobs evolve more quickly than they have in the past. For example, half the knowledge in some fields of psychology is expected to be obsolete in less than six years. For information technology professionals, the pace is even faster.

My version of the best outcome of the LinkedIn/lynda.com acquisition is that the deep integration of our LinkedIn work histories and LinkedIn’s broad perspective on available jobs, and the skills needed to do them, will help us prepare for a world where work is constantly changing and we have to race to stay current. Erik Brynjolfsson and Andrew McAfee call this racing with the machines instead of against them.

LinkedIn may be able to combine what it knows about the kinds of jobs that are available (via its recruiting services), the kinds of skills we have (via our LinkedIn profiles), and predictive analytics (data crunching focused on testing what might happen next) to direct us towards the most valuable educational opportunities offered by the lynda.com content. Ideally, we’d have enough time to prepare for the jobs of the future and stay ahead of the curve. The machine becomes our partner in career planning at exactly the time that we need it.

Do you feel like the pace of change in your work is increasing? For career success, what’s the right mix of staying up to date on factual knowledge (book learning), the technologies (tools) of your work, and your professional (human) networks?

New C-Suite Future of Work Chief Executive Officer

Event Report - AWS pushes the platform with Analytics and Storage [From the Fences]

Event Report - AWS pushes the platform with Analytics and Storage [From the Fences]

AWS is holding their kickoff to the, by now, traditional worldwide AWS Summit conference tour. And similar to last year's tour, Amazon kicked the event series off in San Francisco. Given that the April timing is almost half a year away from AWS’s yearly re-invent conference in Las Vegas, it is a key update time for AWS. And a key update time it was – with almost as many press release and blog posts as re-invent, quite a challenge to sort through the news. 

 
So here are my top 3 takeaways

Amazon Machine Learning – ‘True’ analytics are a key characteristic of modern, next generation applications (more here) that developers are looking at cloud providers to enable them to build. Google had an early lead in this area, but Microsoft and now Amazon are catching up. The Analytics space has been transformed fundamentally in the last 3-5 years in the aftermath of the Netflix competition. Instead of using the same analytical model for their professional life time – as it was pretty much practice in the age of constraint based computing – data scientists now need to ‘thrash’ models with as much compute as the next generation application can get hold on, on as much data one can afford to store. And the most affordable storage and compute capacities – right in the cloud. So really no surprise that Amazon is propagating machine learning. The vendor shared that over 50B predictions are already being made in AWS today – before all the new help Amazon is now providing to developers to build analytical applications. And analytic application are a great complimentary product for cloud providers – use spot pricing for special modelling needs and it equally motivates to store and keep more data stored in the cloud. Who knows if some data that looks discard able today may be key tomorrow? As long as it is affordable, the data will be kept around and analytical models will go back to and leverage the data over and over again. Amazon has done well at understanding this trend and is a in a very good position to leverage a large number of these next generation applications. 
 

The Amazon platform emerges – My key takeaways from re-invent 2014 was that AWS is becoming a platform – and it has to become a platform to long term compete with IBM’s, Microsoft’s and Oracle’s cloud platforms. Amazon needs to attract and keep developers, as whenever the traditional platform vendors are ready with their respective cloud based platforms, they will attract a large number of applications that have been built on their on-premise platforms. So Amazon becomes a platform for next generation applications, and is in the process with that creating the usual and customary platform tie in all platforms have. Something to be aware of when making cloud platform decisions, but something we see most vendors and enterprises happily take as a tradeoff. And along the Amazon platform product strategy there were a number of key announcements:
 
  • Amazon Elastic File (EFS) System – A modern platform needs access to files and storage. If the platform is in the cloud and modern applications are being built on it – it needs the ability to bring the data to the applications. EFS is a key step by Amazon to allow enterprise to store all the data they want and need in the cloud, with all the benefits of the cloud – pay for use, scale up and down etc. It is SSD based – so will be fast, and replicates across AZs – so it is likely to be better than many storage solutions that run onsite, and probably cheaper (Amazon said it would be 30 cents / GB / month). Storage is a key component for a next generation platform and good to see Amazon adding this to the product family.
 
  • Amazon EC2 Container Service – And when you have the data, you need to run services on it, ideally micro services and of course Docker. Amazon’s container services allows the next step of controlling and scaling those services easier for developers, a key challenge and on the flipside when solved – a value creation point. 
 
  • Lambda becomes broadly available - Lambda was the most exciting announcement back at re-invent in my view, and Amazon undersold it to a certain point, so it is good to see that more use cases, especially IoT were raised in San Francisco. And with adding support for lambda in CloudFormation and Mobile development Amazon is doing the steady work of making lambda more available across the Amazon platform. Good to see.


ISV Traction - To keep growing Amazon must attract not only enterprises and ISVs that want to build next generation platforms, but also ISVs that will bring either net new customer load to Amazon or move their on premise load to the AWS cloud. Last year Infor was front and center of this trend, with Infor CEO Charles Philips presenting in San Francisco, this year the trend continues with announcements by MicroStrategy, Software AG, TIBCO and more joining IMS Health, Infor, PegaSystems, Splunk et al making Amazon the platform for their next generation products. As Infor has laid out many times, the advantages are compelling – instead of putting precious investment $s into infrastructure and data centers, vendors can focus on product and let Amazon sort out the infrastructure side. That they also create a certain level of dependence on Amazon seems not bother their customers these days. And with e.g. IBM, Oracle and SAP not showing yet material advantages of a vendor running SaaS, PaaS and IaaS all in one hand, this may not change soon either. 
 

MyPOV

An announcement and feature rich kickoff event for Amazon in the capitol of Silicon Valley (sorry San Jose). Amazon is doing the hard work to integrate their offerings and making them available across administrative and developer services and platforms. The result is a more congruent, efficient and ultimately more appealing platform for enterprises and developers. Amazon needs to keep executing along that strategy and cannot count on its competitors not getting their act together. 2015 will be an exciting year for the cloud and Amazon came out of the gates strong. Stronger than I frankly expected – but that all is good news for customers and the market.

[Comment – the [From the fences] add on to the post title means that I was not attending the event in person, but used the briefings, material Amazon provided and feedback from various industry and influence sources as well as our Constellation customer views to form my opinion and takeaways of the event. Take it with a grain of salt.]


------------
More on AWS

  • Event Report - AWS re:invent - AWS becomes more about PaaS on inhouse IP - read here
  • AWS gives infrastructure insights - and it is very passionate about it - read here
  • News Analysis - AWS spricht Deutsch - the cloud wars reach Germany - read here
  • Market Move - Infor runs CloudSuite on AWS - Inflection Point or hot air balloon? Read here
  • Event Report - AWS Summit in SFO - AWS keeps doing what has been working in the last 8 years - read here
  • AWS  moves the yardstick - Day 2 reinvent takeaways - read here.
  • AWS powers on, into new markets - Day 1 reinvent takeaways - read here.
  • The Cloud is growing up - three signs in the News - read here.
  • Amazon AWS powers on - read here.

Other cloud related:
  • Musings - Are we witnessing the rise of the enterprise cloud? Read here
Find more coverage on the Constellation Research website here.
Tech Optimization Data to Decisions Innovation & Product-led Growth Future of Work Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity softlayer infor Google IBM amazon Microsoft SaaS PaaS IaaS Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service ML Machine Learning LLMs Agentic AI Generative AI AI Analytics Automation business Marketing finance Healthcare Customer Service Content Management Chief Information Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer Chief Executive Officer Chief AI Officer Chief Analytics Officer Chief Product Officer

Workday 24 - ‘True’ Analytics, a Vertical and more - now needs customer proof points

Workday 24 - ‘True’ Analytics, a Vertical and more - now needs customer proof points

This morning Workday unveiled Workday 24 as part of their twice yearly release cycle. All customers are live and the vendor is (rightfully) proud that the overall application of the release took little more than 4 hours – showing that Workday has done some additional housekeeping on its overall cloud infrastructure. 

 
 
What are my top 3 takeaways of the release?

‘True’ Analytics (more here) see the light of day – Last year Workday committed pretty much all of their roadmap of new announcements from their Rising conference to (‘true’) analytics. The vendor announced 3 Finance and 3 HCM analytical applications, that Workday calls Insight Applications. With Workday 24 the vendor makes good on its roadmap, tackling the very common area of Retention / Flight Risk. Pretty much all major HCM vendors now have analytical models to predict flight risk – so it is good to see that Workday has equally released / shipped that capability. Now it is all up to hearing from the first customer how well these retention analytics work. Looking forward to hear more. Moreover it is good to see that Workday now strikes the right balance between visualization, reporting, analysis and analytics – as all have their place in a modern 21st century application, but it is good to see Workday getting the definitions right and helping to reduce the confusion too many vendor marketers have created around the ‘analytics’ term. 
 
Screenshot showing Retention Analytics

Professional Service AutomationPSA – sees the light of day, too – So far vertical offerings at Workday – apart from Workday Student – have not been broken out into separate products – PSA is now the first complete vertical offering that combines key capabilities of HCM and Finance in a new offering that looks functional rich and attractive for a first version. It is good to see that Workday re-uses and leverages assets and creates more value for its (numerous) professional services customers. Anyone having run a professional services team knows that Microsoft Excel is the band-aid that keeps these organizations going – so it is good to see a vendor offering putting (hopefully) and end to tedious and error prone workarounds.
 
Screenshot of PSA Dashboard

A function-rich release – I have been critical of Workday for – what it looks from the outside – slowing down the functional richness of its releases over time. Workday 22 and now Workday 24 are a departure from that trend, so it is good to see that with Recruiting, Insight Applications and the new PSA product, Workday is delivering major new functionality beyond architecture and user interface. As mentioned earlier – tough to measure from the outside what really a number of x enhancements means.
 
Update 15
Update 16
Update 17
Update 18
Update 19
Update 20
Update 21
Worday 22
Workday 24
October 2011
April 2012
August 2012
November 2012
April 2013
September 2013
January 2014
May 2014
April 2015
User Experience
- Outlook Integration
- Chatter Integration
Mobility
HTML5 Support for non IOS devices
Mobility
- New modules
- Global Support
Workforce Engagement:
Team Profile
Professional Profile
Headcount Planning
Big Data Analytics
New User Interface for browser
New Process Framework
An Intelligent Foundation for Analytics
1st Insight App
New Android Look & Feel
Talent Management
- Talent Reviews
- Career Interests
- Cornerstone Integration
Onboarding
Time Tracking
Performance Management Enhancements
Android Native Support & iOS Mobile Enhancements
User Experience - Configurable Grids for Compensation
Performance Management across browser and mobile
Recruiting
Travel Connector
rids for Compensation
Retention Insight App Talent Insights
Professional Services Automation (PSA)
Payroll
- Payroll for Canada
- Payroll Connector
 
Usability Enhancements
Custom Fields
More custom fields
Mobility
- Notbooks for iPad
Legislative support - Report for ACA / RUP
Collective Bargain Agreements
Improved Time Tracking
Higher Education Functionality
   
170 Enhancements
207 Features / 80 Brainstorm Items
246 Features / 67 Brainstorm Items
347 Features / 68
Customer Requests
30% of Features from Brainstorm Items
P.S. Need to add Workday 23 some time. 

MyPOV

Always good to see vendors making good on their roadmap announcements and good to see Workday delivering a function-rich Workday 24 release. There is also a commercial aspect with the release – as it marks the end of the ‘all included’ era for Workday – remarkably, the vendor has been able to keep this up for its first 10 years. And the Insight Applications can create enough value for enterprises to justify this – but it is a first for customers and a first for the Workday salesforce, so an area to watch.

2015 is also the year the Workday Payroll for the UK is released. It wasn’t part of the Workday 24 announcements this week – but there are still plenty of days left in this year for Workday to make that milestone – in my view a key one to track.

And on the adoption side of new functionality, as customers are live on the software, now it comes to see how well they are using the new functionalities and how successful they are with them. The very nature of analytical applications makes the ‘does it work’ question harder for all players involved – as you need to have historic data – or start collecting data to see if the predictions, recommendations and actions really move the needle for enterprises as desired, designed and expected. We will be watching closely.


 
More on Workday
 
  • First Take - Top 3 Takeaways from of Workday Rising Day 1 Keynote - The dawn of the analytics era - time to deliver Insight Apps - read here
  • Progress Report - Workday supports more cloud standard - but work remains - read here
  • Workday 22 - Recruiting and rich Workday 22 are here - read here
  • First Take - Why Workday acquired Identified - (real) Analytics matter - read here
  • Workday Update 21 - All about the user experience and some more - read here
  • Workday Update 20 - Mostly a technology release - read here
  • Takeaways from the Salesforce.com and Workday parnership - read here
  • Workday powers on - adds more to its plate - read here
  • What I would like Workday to address this Rising - read here
  • Workday Update 19 - you need to slow down to hurry up - read here
  • I am worried about... Workday - read here
Find more coverage on the Constellation Research website here.
Future of Work Data to Decisions Digital Safety, Privacy & Cybersecurity Innovation & Product-led Growth Tech Optimization Oracle ADP SuccessFactors workday SAP SaaS PaaS IaaS Cloud Digital Transformation Disruptive Technology Enterprise IT Enterprise Acceleration Enterprise Software Next Gen Apps IoT Blockchain CRM ERP CCaaS UCaaS Collaboration Enterprise Service AI Analytics Automation CX EX Employee Experience HCM Machine Learning ML Leadership HR LLMs Agentic AI Generative AI business Marketing finance Healthcare Customer Service Content Management Chief People Officer Chief Information Officer Chief Technology Officer Chief Information Security Officer Chief Data Officer Chief Customer Officer Chief Human Resources Officer

Former InformationWeek Editor Doug Henschen Joins Constellation to Cover Big Data Analytics

Former InformationWeek Editor Doug Henschen Joins Constellation to Cover Big Data Analytics

Doug Henschen Constellation ResearchVeteran enterprise technology editor joins research team as Principal Analyst

New York City, Silicon Valley  â€“ Constellation Research, Inc., the Silicon Valley-based disruptive technology research and advisory firm announced today the appointment of Doug Henschen to the research team as Vice President and Principal Analyst covering big data analytics. Henschen, whose research focuses on information and orchestration technologies, business intelligence, data-visualization, analytics, NoSQL and big-data analysis, expands Constellation’s ability to provide data-to-decisions research to its early adopter clients worldwide.

The addition of Doug Henschen, a leading observer of trends in data-driven insight and innovation, signals Constellation’s commitment to comprehensive analysis of the impact of disruptive technologies on business today. Henschen examines how brands and organizations uncover product and service opportunities through near-real-time insight, spatial analysis, and blending of vast quantities and varieties of data -- including sensor data and third-party-enrichment data – to gain a deep, contextual understanding of customer, partner, employee, and supplier needs, preferences, and intensions.

"I'm honored to join Constellation Research as I've long admired its focus on forward-looking, technology-enabled business innovation," said Henschen. "I'm used to asking vendors tough questions and exploring breakthrough uses of technology. My new role at Constellation Research gives me an opportunity to share deeper and more detailed insights to help guide technology purchases and digital-transformation initiatives."

Doug Henschen most recently led analytics, big data, business intelligence, optimization, and smart applications research and news-analysis as Executive Editor at InformationWeek. He was previously led Intelligent Enterprise and Transform Magazine, which focused on business process management.

“We are excited to have someone as experienced as Doug join us helping our clients navigate how data to decisions transforms business models.  Doug is a leading authority in this space and in enterprise applications,” said R “Ray “Wang, Principal Analyst and CEO, “As the influencer landscape changes, our clients expect to work with experienced professionals with extensive buy side points of view.  Doug’s passion for critical analysis is what our Executive Network members expect us to deliver”

COORDINATES

Profile: https://www.constellationr.com/users/doug-henschen
Twitter: @dhenschen
Website: Constellationr.com
Linkedinwww.linkedin.com/in/doughenschen
Geo: New York City Metro
 

Doug Henschen Biographical Information

Doug Henschen is a Vice President and Principal Analyst focusing on data-driven decision making. Henschen’s Data-to-Decisions research examines how organizations employ data analysis to reimagine their business models and gain a deeper understanding of their customers. Innovative applications of data analysis requires a multi-disciplinary approach starting with information and orchestration technologies, continuing through business intelligence, data-visualization, and analytics, and moving into NoSQL and big-data analysis, third-party data enrichment, and decision-management technologies.

Insight-driven business models are of interest to the entire C-suite, but most particularly chief executive officers, chief digital officers, chief financial officers, chief marketing officers, chief information officers, chief customer officers, and manufacturing and supply chain leaders.

Previous experience: Doug led analytics, big data, business intelligence, optimization, and smart applications research and news coverage at InformationWeek. His experiences include leadership in analytics, business intelligence, database, data warehousing, and decision-support research and analysis for Intelligent Enterprise. Further, Doug led business process management and enterprise content management research and analysis at Transform magazine. At DM News he led the coverage of database marketing and digital marketing trends and news.

Professional background

  • InformationWeek, Executive Editor, 5 Years
  • Intelligent Enterprise, Editor In Chief, Editor 6 years
  • Transform/Imaging, Editor in Chief, 6 years
  • DMNews, Executive Editor, 1 year

Education

Bachelor of Arts, Syracuse University

Coverage Areas

Analytics, big data platforms and NoSQL technologies, business intelligence, data exploration and visualization, data integration and orchestration, decision support and management, decision-management and real-time analysis technologies

About Constellation Research

Constellation Research is an award winning, Silicon Valley-based research and advisory firm that helps clients navigate tumultuous business environments with disruptive technologies and progressive transformation strategies. Constellation enables forward-thinking visionaries to harness the transformative power of digital technologies to solve tough business problems and advance their careers.  

***

Constellation Research, Constellation SuperNova Awards, Constellation Orbits, Connected Enterprise, Constellation Cosmos, and the Constellation Research logo are trademarks of Constellation Research, Org. All other products and services listed herein are trademarks of their respective companies.

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].


Data to Decisions Sales Marketing Innovation & Product-led Growth Chief Customer Officer Chief Information Officer Chief Marketing Officer

IoT is the key technology element that will drive the full transformation of Digital Business into the next generation of Business.

IoT is the key technology element that will drive the full transformation of Digital Business into the next generation of Business.

A deliberately bold statement, however it is a logical prediction, particularly so if you have been following this winter series of Blog posts. The currently the transformation to Digital Business is driven by the capability to increase sales and market share by using ubiquitous Internet connectivity to reach potential and existing customers. The connectivity coupled with the use of social tools extends the level of understanding of the relationships and requirements into new insights that allow a seller to be ‘smarter’ in their interpretation of opportunities.

Research report now available: The Foundational Elements for the Internet of Things (IoT)

Internet of Things, IoT, extends the same the ubiquitous connectivity of People through the use of Social Tools to include Machines, Processes, Objects, and yes, even further data on People activities. Visualize this as moving from the limited view of your enterprises customers via Social Tools, to a full 360-degree view of everything that affects your market, or each individual opportunity.

Upon grasping this point it becomes easy to understand the reason for the predicted massive growth in the use of IoT as it the real transformation force behind Digital Business. Internet of Things sensors are rapidly moving beyond the simple measurements of initial products, and fast becoming sophisticated, multi capability monitoring devices; think what the Apple Watch Health app tells those who have authorized access about the wearers health and daily activities as an example.

The enterprise that can maximize its IoT connectivity across the market truly has the power to out smart its competitors by the use of its 360-degree view of the market and opportunities. Many describe this as ‘Big Data’ stating scale and rates of data creation are far beyond what can be managed beneficially with todays analytic tools, and compute power.

This hyper connected, massive real time data flow driven environment is both a real challenge in how data is utilized, and a huge business competitive opportunity. No longer is the challenge not having enough data, or enough analytical power to comb through our precious accumulated data for new insights. Now the challenge is spotting the immediately relevant data from the continuous flows of data created by monitoring a huge number of IoT sensors covering all aspects of the market place.

To win in this fast moving, dynamic new connected environment means immediately understanding events as they are happening, including competitors’ actions that affect the market, and be able to influence the outcomes with smarter responses. This transformation to real-time business is more than using Digital Technology with Social Tools to connect in a new manner to people. This is shift in the entire basis of competition driven by new capabilities in Technology.

‘Digital Business’ as we practice it today is the interim step to ‘Smart Business’ conducted in the transformed Smart Markets and Industries of tomorrow. A World where everything is connected to produce a mesh of cross-related data flows that periodically relate to each other and  ‘merge’ to trigger real time insights.

The winners, whether buying or selling, successfully tap into the World of IoT data flows using the new generation of tools that spot and trigger the kind of  ‘Insights’ that have the power to simply out smart competitors.

This is not the IT, or Data Analytics, environment we know today, with data mostly delivered by either the historic transactions of Enterprise Applications, or through exercises to identify, and collate, for data entry after the event. Big Data in this model describes an over whelming amount of stored data that defies most efforts to analyze for even short term opportunistic outcomes, let alone making real-time ‘Smart’ decisions.

Smart data is the real time alignment of multiple data sources flows at a mutually significant, or relevant moment, by an advanced analytical engine using a rules structure to provide Smart Insights. As the number of IoT sensing points increase so does the number of data flows, increasing expediential the capability to trigger new and unsuspected smart Insights.

This is a difficult capability to understand, just as Relational Databases were to a previous generation, and was covered in more detail in the previous blog; the science of getting real value from IoT data. As indeed were all the elements that make up the complete picture of the Smart Enterprise competing through real time sense and respond to the global market place.

We have now arrived at the concluding Blog in the entire series that started in October 2014 and presented on alternative weeks through till April 2015; a journey on the implications for an Enterprise on business transformation under the title of Digital Business; and a primer of how IoT with its associated Technologies is developing and being deployed to change capabilities for business. More than a few people commented that, as the series progressed, it become increasingly clear that the two topics with their developing narratives were clearly linked. In the last two months for many readers it has become clear, that as it was intended to demonstrate there is more than a more link.

The Internet of Things, IoT, is actually the key additional to Digital Technology that transforms Industries, Markets, and Enterprises, into a whole new generation of Business models supported by competitive activities.

The popular separation of the business transformation implications of Digital Business taken to mean sales and marketing activities online; from the introduction of the wide range of new Technologies that are driving the Internet of Things is an artificial and dangerous misunderstanding. It stems from inadequate appreciation and grasp by Business managers of technology, and by Technologists of Business, resulting in neither party full grasping the full scale of the current changes.

We should be more aware as the history of Technology with its impact on Business, and in particular, the more recent transformation in the period of the late 1980s into the 1990s, generally goes through the same pattern. There is a period when a slew of new technologies appear, usually individually offering business value, then value is increased through the integration of the technologies finally leading to a Business Transformation to new competitive capabilities.

In the 1980s to 1990s, the PC with personal Applications, linked into Networks, which in turn led to Client-Server applications, growing into ERP suites that delivered Business Process Re-Engineering of Enterprise Business models. At each stage many enterprises congratulated themselves on the value of new deployments in isolation, before having the expense of re working into the final cohesive mature change.

Recent years have led through Clouds, Mobility Devices, Apps into Browser Web Services, leading to Social Tools and Digital Business. Now IoT extends the principles of external social connectivity into full market connectivity, and awareness, by drawing on all of these technologies in a maturing integrated manner to transform competitive capabilities and costs of deployment.

Whilst Digital Business and IoT should not be considered in isolation from each other, it is necessary to fully understand each individually in depth to draw up roadmaps for the successful, and necessary, full enterprise transformation. See the diagram below with the highlighting of the two capability gaps;

Summary; This winters blog series has been focused on examining in full the nature of the business led challenge under the title of Digital Business; and the Technology deployment challenge under the title of IoT. This final blog in the joint series finally summarizes the combined situation. With this conclusion it is recommended to consider re-reading some of the previous blogs to put the full context in place. The summary list of all the posts can be found here.

Speaking as the author; I will be taking a break for some of the summer months in the form of a Sabbatical therefore the frequency of posts will reduce for a few months. I will however remain actively engaged in these topics through out the period of my summer sabbatical, albeit at a reduced activity level in blog publishing. I will be appearing and presenting on these topics at the Constellation Research European Digital Disruption Tour.  Specific dates and locations are London on 17th June and Amsterdam 22nd June.

Research report now available: The Foundational Elements for the Internet of Things (IoT)

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The Top 100 Cloud-based Enterprise Software Startups Of 2015

The Top 100 Cloud-based Enterprise Software Startups Of 2015

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Investments in emerging enterprise software companies increased 53% from Q3 to Q4, 2014  according to MoneyTree Report, a collaborative research initiative between PricewaterhouseCoopers and the National Venture Capital Association.  A graphic from the latest available data shows how software investments were 39% of all investments in Q4, 2014.

To determine which enterprise software startups have gained the greatest amount of funding since they were founded, Mattermark was used to rank order all enterprise start-ups.  Mattermark uses a combination of artificial intelligence and data quality analysis to provide insights into over 1M companies, over 470K with employee data, and over 100,000 funding events.

invest by industry

Mattermark uses their Growth Score is the default ranking for all companies tracked in their service.  This score is not meant to provide guidance on which startup to invest in.  Rather it’s a measure of momentum across the metrics and KPIs that Mattermark measures.

Using their free trial, I completed the following analysis of cloud-based enterprise software startups. I’m not a consultant to Mattermark and never have been. As many Forbes readers find software investment data fascinating, I contacted Mattermark and asked for a free trial, which they graciously provided. You can download the list in Microsoft Excel format here. 

matrix


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