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IBM Design Studio Austin - Site Visit

IBM Design Studio Austin - Site Visit

 
I finally got around to follow up on the invitation by IBM’s GM of Design, Phil Gilbert, to visit the campus in Austin, which hosts the nucleus of the IBM Design activities. Needless to say – it was an insightful visit. Here are some highlights:

 

The Austin Design Studio is where IBM’s quest to infuse more Design Thinking into its products began. The design center remains the core of the effort, though IBM has been opening more design centers across the globe – counting more than 30+ as of right now. And IBM keeps investing into these centers, with 11 of them becoming ‘flagship’ centers, a status that in 2015 only Austin holds.
 

The Space

Location and space is always a key decision to make for innovation and design centers, and IBM chose an unusual approach with opting to co-locate the design center into an existing IBM office and going to a ‘non-coastal’ location with Austin. A number of factors played a role to start in Austin, embedding the design center physically with a development office was a prominent factor and Gilbert did not want to create a satellite that could create a lot of ‘it can’t be done here’ syndrome. And Austin has a growing reputation in design cycles since quite a while, more importantly IBM sees no challenge to attract talent to the Austin locaton.

The Design Studio now occupies over 50k square feet on two stories and is expanding by another 25k square feet soon. A regular office building poses some challenges to create the wide open spaces with adjustable furniture as required by state of the art design centers, but the design center’s space architects found a way of working with Steelcase to allow for flexible, hanging partitioning walls. And the rest the design center does not differ from other places, with an emphasis on furniture on rollers, frugal means to create new furniture (for example Z-Bars with pipe plumbing to affix whiteboards) and the usual creative ‘hacks’ you find in design centers. And no surprises – designers in Austin gravitate towards the lounge setup as a working and review environment like their peers in Silicon Valley, Seattle, New York, LA and Potsdam (more site visits to come).

What is different in Austin is, that the key design teams for specific products are co-located on the floors, creating their own distinctive spaces. And while IBM ‘forward deploys’ designers into development locations, it maintains these core groups at design centers. It’s a sign for IBM’s outcome orientation when it comes to design, and likely a key contributing factor to the quick turnaround and immediate results in the usability of its products. At the same time IBM knows it has to collaborate across physical locations and time zones and it is good to see that designers are equipped with the necessary modern tools to make this happen.

Very tough to pick the top three takeaways – but here you go:

Pragmatic Approach – As mentioned above, IBM is pragmatic about using Design Thinking to move the bottom line regarding usability of its product. It’s pretty much a no-nonsense culture (saw a motto: ‘Don’t Ship Sh…!’) measured by product progress in usability. And the team’s charter is a focus on creating a global sustainable culture of design across the vendor.

 

Taking the approach of not limiting the physical design of its products through one common technical framework but opting for a ‘meta’ design language (learn more about it here) instead is a unique approach for almost all of the industry. Though sceptics thought a descriptive language would not be able to hold up uniformity of actual user interfaces, the proof of the contrary is by now in the famous ‘pudding’ – as the IBM products look more uniform across product families than ever. 

Design Infiltration – It is relatively easy to establish a new innovation / design center with a substantial investment, the key measure of success is a lasting ‘lift’ in product usability and quality as well as the moving of the overall product development organization to a higher level of performance. Never an easy task to solve, it looks like IBM has achieved the right balance between central product design teams and embedded designers at the various development locations. At the same time IBM has an ambitious hiring goal (ultimately 1000 designers) and has been able to train them, bring them up to speed and achieve a level of consistency that matters for making products usable for the same users across product groups. Using an incubation program at the same time to train the new hires – while supervised by senior designers – and allowing product team to ‘test drive’ for a limited time the design center is a win / win move.
 
Beyond Designers – It certainly helps that Design Thinking and the design centers have support from the top at IBM, CEO Rometty is a driving force behind the design approach. It is no surprise that the only 2nd time the worldwide IBM leadership team has come together in the same place other than Armonk, has been in Austin. And IBM has a lot of design tradition, starting with former CEO Watson’s memo of ‘design is good business’. Rometty sees client experience as the key path to future growth for IBM.
 
Even more interestingly IBM is implementing lessons learnt and best practices across more IBM offices, not only briefing centers (as IBM calls customer visit centers) but also regular office. More configurable space, more furniture on rolls is supposed to create an overall more agile, dynamic, project oriented IBM going forward. The success of this massive change management endeavor will be interesting to watch going forward.

MyPOV

Always great to visit design centers, especially when they are successful and have moved the needle for their respective organization. It is fair to say that Design Thinking, the IBM design centers, starting with Austin and the designers have made a substantial difference to current IBM products. When mainframe engineers use Design Thinking for a zOS upgrade – you know IBM is onto something that works and transforms the way how the vendor builds its products. It is also very good to see that the core design team is not resting on its laurels, but actively working on re-thinking (pun intended) the way how IBM practices Design Thinking, stay tuned for more in 2016.

Overall a very promising state of Design Thinking at IBM, but changing the way to work, do business, and how products are imagined and built for a 380k+ employee organization and their customers takes time – and the next years will show how lasting the new approaches are. 2016 with the rollout and upgrade of more design centers will be a key year. We will be watching.

 

If interested in more 'Site Visit' blog posts - many remain confidential (unfortunately) - but this one with ADP is public.
 
Find more coverage on the Constellation Research website here and checkout my magazine on Flipboard and my YouTube channel here
    Next-Generation Customer Experience Tech Optimization Data to Decisions Future of Work Innovation & Product-led Growth New C-Suite IBM Chief Customer Officer

    Blockchain: Linux Foundation Unites Industry Leaders to Advance Blockchain Technology

    Blockchain: Linux Foundation Unites Industry Leaders to Advance Blockchain Technology

    What’s the News?: The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced a new collaborative effort to advance the popular blockchain technology. The project will develop an enterprise grade, open source distributed ledger framework and free developers to focus on building robust, industry-specific applications, platforms and hardware systems to support business transactions.

    Who is Invovled?: Early commitments to this work come from Accenture, ANZ Bank, Cisco, CLS, Credits, Deutsche Börse, Digital Asset Holdings, DTCC, Fujitsu Limited, IC3, IBM, Intel, J.P. Morgan, London Stock Exchange Group, Mitsubishi UFJ Financial Group (MUFG), R3, State Street, SWIFT, VMware and Wells Fargo.

    What is BlockChain?: Blockchain is a digital technology for recording and verifying transactions. The distributed ledger is a permanent, secure tool that makes it easier to create cost-efficient business networks without requiring a centralized point of control. With distributed ledgers, virtually anything of value can be tracked and traded. The application of this emerging technology is showing great promise in the enterprise. For example, it allows securities to be settled in minutes instead of days. It can be used to help companies manage the flow of goods and related payments or enable manufacturers to share production logs with OEMs and regulators to reduce product recalls.

    Why Did the Founding Members Come Together?: To standardize the potential savings, use cases and ensure the orders come into the system and the code execution are standardized and to improve hardware. For supply chain and IOT and the financial industries, this is very important. Many of the founding members are already investing considerable research and development efforts exploring blockchain applications for industry. IBM intends to contribute tens of thousands of lines of its existing codebase and its corresponding intellectual property to this open source community. Digital Asset is contributing the Hyperledger mark, which will be used as the project name, as well as enterprise grade code and developer resources. R3 is contributing a new financial transaction architectural framework designed to specifically meet the requirements of its global bank members and other financial institutions. These technical contributions, among others from a variety of companies, will be reviewed in detail in the weeks ahead by the formation and Technical Steering Committees. This collaboration is expected to help identify and address important features and currently missing requirements for a cross-industry open standard for distributed ledgers that can transform the way business transactions are conducted around the world.

    A note from the executive director at The Linux Foundation, Jim Zemlin: “Distributed ledgers are poised to transform a wide range of industries from banking and shipping to the Internet of Things, among others. As with any early-stage, highly-complex technology that demonstrates the ability to change the way we live our lives and conduct business, blockchain demands a cross-industry, open source collaboration to advance the technology for all.”

    Many CFO are Interested. Why?” Distributed ledger systems today are being built in a variety of industries but to realize the promise of this emerging technology, an open source and collaborative development strategy that supports multiple players in multiple industries is required. This development can enable the adoption of blockchain technology at a pace and depth not achievable by any one company or industry. This type of shared or external Research & Development (R&D) has proven to deliver billions in economic value.

    Who is Linux Foundation?” The Linux Foundation is the organization of choice for the world’s top developers and companies to build ecosystems that accelerate open technology development and commercial adoption. Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Founded in 2000, The Linux Foundation today provides tools, training and events to scale any open source project, which together deliver an economic impact not achievable by any one company. More information can be found at www.linuxfoundation.org.

    My POV: Blockchain has the potential to change how we operate on a financial level. This comes with great responsibility and also great promise. But where there is promise, there is also risk. It will be very interesting to see how this group evolves and how standards are created and if it does do the transformative work it’s set to do. It’s always interesting when money is involved.

    For more information about the project and how to participate in this work, please visit: https://blockchain.linuxfoundation.org/

    @Drnatalie VP and Principal Analyst, Constellation Research

    Covering Customer-Facing Applications, IOT and how Blockchain may change the future of our financial backbone

     

    Next-Generation Customer Experience Digital Safety, Privacy & Cybersecurity Innovation & Product-led Growth AI Blockchain Chief Customer Officer Chief Executive Officer Chief Information Officer Chief Technology Officer Chief AI Officer Chief Data Officer Chief Analytics Officer Chief Information Security Officer Chief Product Officer

    Top 5 Data-to-Decisions News Trends of 2015

    Top 5 Data-to-Decisions News Trends of 2015

    Apache Spark, real-time, cloud BI & analytics, IoT, and self-service where the trends to watch in 2015, and they’ll continue to make waves into 2016.

    It’s that time of year again. Here’s a look back on the big stories of 2015 and a look forward on the trends that will carry on into 2016.

    1. Spark Lights A Fire. In 2015 companies and vendors started to realize that the opportunity with big data isn’t just to scale up BI and the data warehouse. Thus the Apache Spark open source framework and other analytical options that go beyond SQL were hot in 2015. Spark was embraced by scores of vendors and hundreds of big companies in 2015. IBM was the most visible vendor advocate, but plenty of other data-integration and big data platform companies joined the bandwagon.

     

    Spark 2015 Vision

    It takes more than SQL to make sense of big data. Spark couples in-memory performance
    with SQL, streaming, machine learning, graph and R-based data-analysis options.

    A key driver of the interest in Spark’s ensemble of analytics – which encompasses SQL, R, graph analysis and machine learning — is the fact that in an increasingly digital world, companies are generating and need to analyze a variety of data types. As companies do more marketing and business online, for example, clickstreams, social data and mobile data become much more important. SQL is good for analyzing the transactional data behind those interactions, but graph, machine learning and other techniques shine with these new types of data. And companies want to look forward, not just back, so they can make the right moves to maximize sales and profits. That’s what is driving interest in predictive capabilities, such as those available in R.

    2. Real-time gets real. Streaming data analysis (a.k.a., real-time data analysis) was another hot category in 2015. Recent announcements by Amazon, Cloudera, Confluent (the Kafka support company), Microsoft, MapR, SAP and plenty of others point to the demand for low-latency data capture and analysis capabilities. Online advertising, marketing and retail scenarios have been a big driver, as companies seek to trigger ads, launch campaigns, and serve up cross-sell and up-sell offers while customers are still online. Real-time fraud detection, risk analysis, IoT (see below) and security threat detection are other scenarios where time is of the essence. Look for the wave of real-time announcements to continue into 2016.

    3. Cloud-based analytics and business intelligence options take off. Some vendors (like BIRST and BusinessObjects) were very early to cloud-based (Software-as-a-Service-style) business intelligence. But the first-generation of options that emerged seven to ten years ago didn’t exactly set the world on fire. Early pioneers including LudicEra, Oco and PivotLink didn’t survive.

    Tableau Online Data Growth Rates

    This gauge of cloud-based data analysis versus on-premises-based data analysis, as measured
    by Tableau Online, explains why cloud-based BI and analytics services are finally taking off. Tableau
    says Amazon Redshift, Google Analytics, Google Big Query and Salesforce are the top-sources. 

    Times have changed. Now that huge volumes of data are originating and accumulating online (think Amazon RedShift, Google Analytics, Google BigQuery and Salesforce) cloud-based BI and analytics options are starting to take off. Vendors including IBM, GoodData, Microsoft, Oracle and SAP all upped their stakes in cloud-based BI in 2015 while upstarts Tableau and Qlik prepared to deliver deeper cloud services 2016. Stay tuned for yet more announcements in 2016 and check out these six tips for success in cloud-based data analysis.

    4. IoT Services: Will they bear fruit? The question isn’t which vendor did but which didn’t introduce an IoT suite or IoT-related services portfolio in 2015? The list of players announcing new or expanded IoT capabilities in 2015 included IBM, Microsoft, Salesforce and SAP. (Others deeply invested prior to 2015 included General Electric, Cisco and Intel, among others.)

    In my view, IoT is often a new marketing spin on analytics against sensor-based data – something in use in manufacturing and industrial settings for quite some time. Add in ingredients including geospatial data, automotive telematics, smart mobile devices and, of course, Internet-based apps and services, and you can give it a more modern “of things” twist.

    The question for 2016 is how quickly will businesses adopt and prove out real-world, IoT-based used cases. Our deepest thinker on this topic, Andy Mulholland, points out that there’s a last-mile problem whereby the IT infrastructure and services are useless if you can’t make the final connections and make sense of the data streaming from the sensors and devices on the front lines. In Andy’s book, line-of-business people are crucial to IoT deployment success, and IT-centric suites and vendor portfolios won’t succeed without business leadership of IoT initiatives.

    5. Self-service options proliferate. The trend toward self-service reporting and data analysis emerged five to seven years ago. Now that trend is moving into new areas, and it reached a fever pitch in self-service data prep in 2015, with announcements from data-integration vendors like Informatica , SnapLogic and Talend, and from BI vendors including Qlik (Smart Data Load) and Logi Analytics.

    Alteryx

    Self-service started in the BI realm with the likes of Qlik and Tableau. Vendors including Alteryx have
    extended the trend to self-service data-prep and self-service advanced analytics for data-analyst types.

    Interest in self-service advanced analytics is also on the rise. One of my most important reports of 2015 was “The Era of Self-Service Analytics Emerges,” which looked at leading examples including IBM Watson Analytics, SAP Lumira and SAS Visual Analytics/Visual Statistics. Other vendors and products pursuing this self-service advanced analytical trend include Alteryx, Microsoft Power BI, Qlik and Tableau.

    Hope you enjoy the read on these trends as we head into 2016 and have a happy and healthy New Year!


    Data to Decisions Marketing Transformation Next-Generation Customer Experience Tech Optimization Chief Customer Officer Chief Information Officer Chief Digital Officer

    My New Book: Skills for the 21st Century – It’s Marketing But Not As We Know It

    My New Book: Skills for the 21st Century – It’s Marketing But Not As We Know It

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    It is clear that the skills that brought us through the 20th Century have not prepared us for the next 100 years. Or even the next decade.

    Technology, social media and consumerisation has disrupted industry after industry, and while marketing operates in most firms at the forefront of customer experience, many marketers feel out of their depth with the vast array of skills and capabilities that are required. The disruption adds to the anxiety that ripples out across the organisation.

    Over the last year I have spoken at conferences and forums in Australia and internationally, consulted with organisations and governments and helped develop new capability roadmaps, skilling programs and events. And the challenges and fears are largely the same.

    What I have found, is that this anxiety is reverberating far beyond the marketing department. In the 21st Century, we are all marketers, and we are unprepared for this new future.

    In response, I have written an eBook that builds on a series of blog posts and articles, observations, projects and presentations that I have made throughout the year. It looks at the shifting landscape and suggests ways forward for individuals and teams.

    This eBook is available for immediate download as a PDF.

    Marketing Transformation Chief Marketing Officer

    Box, Microsoft and Citrix Update Their Enterprise File Sharing Offerings

    Box, Microsoft and Citrix Update Their Enterprise File Sharing Offerings

    In today's File-sharing Friday news, oh wait, it's Wednesday. In today's Web-Content Wed news... ugh, never mind!  Today was a busy news day in the enterprise file-sharing market with three stories:

    Here is a short video with my thoughts on these 3 announcements.

    Links mentioned in the video:

     

    My Constellation colleague Chris Kanaracus has written more about the Box/Salesforce announcement here: Salesforce, Box Deepen Partnership: How It's Good for Customers

     

     

     

     

    Future of Work Marketing Transformation Next-Generation Customer Experience Revenue & Growth Effectiveness box Microsoft Chief Marketing Officer Chief People Officer Chief Revenue Officer

    Slack Advances Their Efforts To Evolve From Product To Platform

    Slack Advances Their Efforts To Evolve From Product To Platform

    Today Slack made 3 announcements that help advance their efforts to evolve from just being a product to being a platform. This is very important, as you've heard me say over and over again, one of the key's to the success of any vendor is the strength of its partner ecosystem. The announcements are:

    1. The Slack Fund, "a new $80 million dollar fund backed by Slack and six of our investors: Accel, Andreessen-Horowitz, Index Ventures, KPCB, Spark, and Social+Capital"

    MyPOV:  Developers have several options in the social business market. Should they spend their time building for Office365, Google for Work, Jive, Salesforce, etc? This fund should help motive developers to build applications and extensions that interact with Slack.

    2. Botkit, "a new framework for Slack development that greatly simplifies the creation of apps (especially bots) with a flexible codebase that handles things like authenticating apps to a team and the sending, receiving, and processing of messages with our API"

    MyPOV: This new framework should help developers who have been attracted by announcement #1 get started quickly. Removing the need to code the backend processes allows developers to focus on the business workflows of the applications.

    3. New an improved Application Directory, "where you can find over 160 apps that can extend the capabilities of your Slack team" 

    MyPOV: Announcement #1 provides the incentive to build applications, announcement #2 helps developers do it, #3 is all about easily surfacing those new applications. The vast amount and variety of integrations available for Slack have been one its primary keys to success. Until now installing those integrations required a few steps and may have been too technical for some people. The new directory makes adding functionality to your Slack channels much easier, which will help drive adoption.

    Here is a short video where I discuss today's news:

     

     

    Are you currently using Slack? Are you planning to? Are you a developer building for Slack? Are you planning to?

    I look forward to your feedback.

    Future of Work

    IBM Announces IBM Connections 5.5 and IBM Docs 2.0

    IBM Announces IBM Connections 5.5 and IBM Docs 2.0

    IBM has announced the latest versions IBM Connections and IBM Docs. These new versions are for on-premises customers who have not yet made the move to IBM Smart Cloud. While these are not innovative new releases, the do allow on-premises customers to catch-up on the features which IBM has been rolling out this year to their cloud-based offerings.

     

     

    Future of Work

    IoT; Improve, Innovate, Market Partner, or Market Disrupter? Strategic Business Choices for your IoT initiative

    IoT; Improve, Innovate, Market Partner, or Market Disrupter? Strategic Business Choices for your IoT initiative

    The pace that Digital initiatives and IoT is forcing on the market makes it difficult to know when to act. ‘Fast follower’, the normal preferred stance for many Enterprises has huge risks in IoT as first movers have literally taken over and closed off market sectors to following competitors. A significant feature of IoT moves is the impact runs from small-scale innovative moves, such as Uber, to big market ecosystem disruptions by global giants such General Electric.

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

    Even moves to improve existing operating capabilities such as Harley Davison IoT deployment transforming their custom bike manufacturing can make impacts and create direct business value greater than many current planned Digital, or IT, investments.

    How to plan your enterprise approach to IoT starts by considering which of four main business strategic approaches listed below offers the best alignment to your Enterprise business strategy and business model. The definitions provided below are outlines to help initial thinking;

    1)  Improve – adding IoT data inputs to an existing process improve the accuracy and quality of its current performance

    The internal use of simple sensors for factory floor Operational Technology systems is a mature technology, but has developed as a separate environment to IT with specialized protocols and GUIs. Enriching the type and quality of sensed data, or adding new more intelligent IoT sensors to feed data faster, with integration into Enterprise Manufacturing or Logistics IT application can improve dynamic efficiency by a considerable factor. Some Enterprise Application IT vendors, and some leading automation OT vendors, offer direct connecting IoT sensor solutions for this purpose.

    External remote, off site business activities that requiring scheduled manual inspection, such as management of Merchandising machines can gain a reduction in visits and costs by sensor signaled refill requirements. Improve IoT projects do not involve any significant change in business activities, instead offering simple straightforward improvements.

    2)  Innovate – introducing a new higher value Smart Service based on reacting to events using IoT sensors

    Changing a current business service such as maintenance of equipment on a set schedule, or in response to a breakdown call, into an event reactive, or even proactive Smart Service. Proactive maintenance of critical systems, e.g. air conditioning units, to forestall breakdowns by monitoring the change in crucial parameters, has a higher value to a customer as well as cutting unproductive routine service visit costs.

    Innovative IoT deployments introduce the need for intelligence and insightful outputs through a Smart Service, and as such are prime candidates for business activities where time to read and respond changes has a value to the customer. Other examples include critical event responses to emergencies, optimization of capacity, or energy use. Many Enterprise claim to be seeking ‘innovative’ new market offerings around ‘services’ and this is where their own specialized market, or sector, knowledge can be applied aligned to the new capabilities of IoT Smart Services.

    3)  Market Partners – making use of a market leader providing a Smart Services Platform and a customer base

    The most obvious examples relate to IoT based Smart Services Apps delivered for Apple and Google Smart Phones and Tablets, but there are other Platforms in industrial markets as well. Consumer markets are rich in opportunities from the developing interest in Smart Homes and Cars as well as Smart Service Apps such as Uber. Market partnerships lower technology risks and challenges, but increase the pressure to compete by finding unique smart value as differentiating Intellectual Property. It requires careful consideration as to whether the Market Partners Platform provides enough IoT data inputs to be able to makes use of the complex event processing insight that makes your Smart Service unique.

    Market Partners are not only to be found in the consumer market as in an increasing number of Markets face a dominant player introducing a disruptive IoT Platform that supports and empowers the introduction of Smart Services from other market players. See market disrupter example in next section.

    4)  Market Disrupter – a market dominant player moves to take advantage of their existing position and product span to introduce new competitive rules

    The example of John Deere in the agricultural market is a good example of a market leader using IoT to create a market disruption. Introducing Smart IoT sensing on a variety of John Deere implements with interaction allows measurement of a wide range of conditions. The resulting insightful inputs not only enable the John Deere machinery to function optimally, e.g. using less fuel, but additionally provides data inputs on soil conditions, fertility, local micro climate conditions, etc. This data is made available to John Deere Market Partners who gain an effective route to market, and are able to ensure their products, seeds, sprays, fertilizers etc. are used in the optimally manner for the best results.

    Market Disrupter Ecosystems offer very high value to the end customer, in this case the farmer, such that the primary proposition and form of market competition is fatally disrupted. In this case the previous factors of choice in buying agricultural machinery are of less importance than the value the integrated Smart Services Ecosystem provides. A classic example of a shift to a ‘Services’ economy.

    These four major headings are by no means an exhaustive list of the possibilities that IoT brings to an Enterprise, but offer a quick summary of four major business recognizable types of initiatives.

    Resource

    The Foundational Elements for the Internet of Things (IoT)

    Footnotes

    A list of IoT case studies based on using ThingsWorx  http://www.ptc.com/internet-of-things/customer-success

    A Cisco published IoT case study of Stanley Black & Decker http://www.cisco.com/web/strategy/manufacturing/stanley-black-decker.html

    An SAP published list of IoT case studies http://www.sap.com/pc/tech/internet-of-things/case-studies.html

    Explanation by MyJohnDeere.com as to features and benefits https://www.deere.co.uk/en_GB/products/equipment/agricultural_management_solutions/myjohndeere/myjohndeere.page

    General Electric explains their IoT solutions ecosystems http://www.ge.com/digital/predix

    New C-Suite

    Collaboration Platforms versus Best of Breed Solutions

    Collaboration Platforms versus Best of Breed Solutions

    “Should we use a group of products from a single vendor or purchase different features from multiple specialized vendors?”

    This question, otherwise known as “suites versus best-of-breed”, is one of the oldest and most important that IT decision makers have to answer. But is the question still valid? Suites are no longer proprietary offerings with long development cycles, but rather open and extensible platforms which are frequently updated. Best-of-breed vendors can still fill niche gaps, but their unique features can quickly be commoditized. Thus, a more accurate question would now be “which platform should we be looking at, and are there niche products that we should integrate into it?”

    The purpose of this report is to show how collaboration platforms provide a more seamless and secure user experience, while reducing costs and administrative complexities from piecing together multiple tools. This report covers two important topics:

    • How vendors are releasing software in much shorter cycles than before
    • The advantages of platforms over best-of-breed solutions

    Click here for more details about the report and to purchase/download a full copy.

    The following video provides a brief overview of the report.

    Here is the Table of Contents:

    • How the Innovation Life Cycle Hastens the Shift from Differentiation to Commoditization.
    • Evolution of the Employee Collaboration Portfolio.
    • Silos of Collaboration Hinder Ability to Effectively Get Work Done.
    • Why Collaboration Platforms Trump Standalone Solutions.
    • When Standalone Products Make Sense.
    • Capturing the Best of Both Worlds.
    • Vendors Approach Collaboration Platforms from Different Angles.
    • Conclusion: Preparing for the Next Wave of Innovation.

    I look forward to your feedback.

    Click here for more details about the report and to purchase/download a full copy.

     

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

    New Report: Few Companies Have Evolved Into a Digital Organization

    New Report: Few Companies Have Evolved Into a Digital Organization

    The report by Capgemini, “Organizing for Digital: Why Digital Dexterity Matters” — conducted in collaboration with MIT Center for Digital Business — reveals that digital organizations reported outperforming competitors on key performance indicators, such as customer satisfaction and innovation. The ‘digital masters’, just 7% per cent of companies, display “digital dexterity” – the ability to rapidly change organizational design to realize more value from digital technologies – such as forging new partnerships or identifying and deploying internal expertise.

    MY POV: This makes sense as most companies are still trying to decide if they should or need to pay attention to digital — like it’s a channel or a app. It’s really a mindset of how a business is run and how decisions are made and whether or not departments understand their individual contribution to the customer experience as it fits into the overall, brand customer experience. Individual departments can no longer remain silos. They must do their part in the context of the whole. Otherwise the customer experience, as some point in the value chain ends up not meeting or exceeding customer expectations. And not meeting customer expectations means customers will no longer be customers. They will patronize competitors who have maximized their digital dexterity because the customer experience will be more optimized to be customer-centric.

    Digital Dexterity Self-Assessment: Based on the research results, the report provides a high-level self assessment guide allowing executives to gauge where their organizations are on the digital dexterity continuum. It also reveals that advanced levels of digital dexterity allows organizations to seize opportunities and respond to disruptions much more quickly than their traditional competitors. In today’s volatile and disrupted world, capability leadership is not enough. Organizations also need to be nimble and flexible – dexterous – if they are to respond to ever-changing technology advances, emerging competitive disruptions, and changing customer needs

    Screen Shot 2015-12-14 at 9.15.33 AM

    Digital Capabilities Drive Business Results: Digital capabilities drive business results in key areas such as improving the customer experience, boosting employee engagement or enhancing internal operations. However, digital dexterity allows organizations to seize opportunities – and respond to disruptions and changes – much more quickly than their traditional competitors. Our research found that organizations that are high on digital dexterity are more responsive, better at finding talent, and able to self-organize at speed. They also enjoy significant advantages in identifying and re-deploying expertise when it is needed and are better at establishing partnerships (see figure below.)

    Screen Shot 2015-12-14 at 9.15.47 AM

    Every enterprise has the potential to become a digital organization, but it will require leadership, investment and tenacity. Drawing on our research, our experience in working with clients and interviews with industry practitioners, we have identified four dimensions that are critical (see figure below).

    • ? Digital-First Mindset: seeking and prioritizing digital solutions first and foremost
    • ? Digitized Practices: digitizing operations and encouraging collaborative ways of working and learning
    • Empowered Talent: raising the digital IQ of the organization, developing key skills and increasing engagement
    • Data Access & Collaboration Tools: accessing data and collaboration tools to drive innovation and share intelligence across the organization

    Screen Shot 2015-12-14 at 9.16.06 AM

    A Digital Mindset: A digital-first mindset is a distinguishing feature of a digital organization. It means that the default position of the organization is to employ a digital solution first. For instance, how does the organization connect with its customers? How does it redesign its core processes using the power of digital technologies? How does the organization think of addressing any new challenge using digital technologies rather than traditional approaches? In the research, 80% of digital organizations said that they take advantage of digital solutions wherever possible, as against only 37% of all firms.

    Digitized Practices: Digitized operations, data-driven decision- making and collaborative learning are essential practices for organizations’ adaptability and long-term resilience. In our survey, 80% of digital organizations believed that their core operational processes were automated and digitized. Across all firms this drops to 32%.

    Empowered Talent: In the survey, 70% of digital organizations said that their enterprises have well- established, well-distributed digital skills. However, across all firms, this drops to just 14%. Digital organizations put a premium on building widespread digital skills and ensuring engagement for its people within and beyond their organization’s boundaries.
    Is your organization stalling, intimating, engaging or self-reinforcing digital capabilities? To find out more, here’s the whole report.

    @drnatalie, VP and Principal Analyst, Constellation Research

    Covering Customer-Facing, Digitized Organizations

    This report comes after two years of research that was conducted in collaboration with MIT’s Center for Digital Business from January 2014 to September 2015. Together, the team conducted in-depth interviews with thirty-one industry leaders representing enterprises from a range of industries to assess the qualities of companies that were able to quickly adapt to the increasing use of digital technologies and data. A survey of 274 industry executives, representing 138 different enterprises across 28 countries was then conducted to validate the relationship of an organization’s key characteristics with abilities that help firms easily adapt to new technologies.

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