Over the past year Containers such as Docker have generated tremendous interest and uptake among well-known cloud providers, who use them to deliver some of the largest and most popular cloud services and applications. Container adoption is being driven by the promise that containers deliver the ability to “build once and run anywhere", allowing increased server efficiency and scalability for technology managers.
Hyperconvergance growing in adoption
A second trend developing at a similar rate is the adoption of Hyperconverged platforms. Hyperconverged platforms architect compute, storage and network together as a complete system (whether physical or virtual). Blending ease of use, scalability, and integration into easily consumable webscale building blocks which allows infrastructure and operations (I&O) leaders to spend less time engineering and tuning fundamental infrastructure and more time putting capabilities in the hands of their firms' customers.
Hyperconvergance leveraging Containers, the perfect Cloud match
The growth of containers and Hyperconverged solutions with containers is emerging and in 2016 will become commonplace.This combination will yield the most flexible application packaging yet. AWS, CoreOS, Docker, Google, Mesosphere, Red Hat, VMware, and the various OpenStack players will lead the way. Hyperconverged infrastructure will be the foundation because it provides great flexibility with underlying resources in the pool for cloud services.
I joined Forrester recently as a senior forecast analyst on the ForecastView team focusing on business technology (BT) topics. What is ForecastView you ask? It’s a Forrester product that puts the numbers around our research reports by publishing a five-year quantitative outlook. To learn how our forecasts can help you with your investment decisions, read our ForecastView overview.
Our BT forecast team takes a look at cloud, security, IoT, business intelligence, marketing ad technology, Big Data, and other hot topics in the BT space. We launched our ForecastView BT bundle in 2015. In case you missed it, our three 2015 forecasts examined eCommerce platforms, cloud security, and API management. Some highlights:
Sizing The Cloud Security Market: Companies will spend $2 billion over the next five years to protect data in the cloud. We expect the market to grow at a staggering 40%+ CAGR over the next five years.
IBM opened its global Watson Internet of Things (IoT) headquarters in Munich this week. It is hardly unusual for this quintessential global business to open research centers on a global scale. But the decision to move the HQ for one of the most dynamic areas of the digital transformation arena to Munich is noteworthy for several reasons. The move underlines that:
IoT has a very strong B2B component. Yes, IoT will play a role in consumer segments such as the connected home. But connectivity limitations and costs, compliance, and security will put many IoT ambitions in the consumer space to rest. The real action will be in the B2B space, where IoT will be elemental to drive activities like predictive maintenance, fleet management, traffic management, supply chain management, and order processing. Forrester expects the market size for B2B eCommerce, of which IoT is a subset, to be about twice that of B2C by 2020.
IoT and big data are closely intertwined. The real value of IoT solutions will not come from the hardware components of connected assets but from the data they generate and consume. In order to manage and make sense of the data that connected assets generate, cognitive systems and machine learning will play a fundamental role for the evolution of IoT. “Employing” Watson in the IoT context elevates IBM’s role in the IoT market significantly.
When looking to purchase a customer service solution, buyers have to remember that more features is not better; many times more is just more. In fact, when you don't need or can't use extra features, more is sometimes worse.
With this in mind, we see that customer service solutions fall into two primary groups to choose from:
Customer service solutions for enterprise organizations. Customer service vendors focused on large organizations — organizations with typically 1,000 or more agents who are primarily phone agents — offer robust case management, agent guidance in addition to CTI integration, reporting, analytics and data management capabilities. These vendor solutions can scale to serve very large agent populations, in the tens of thousands or higher. These products have been traditionally been sold as on-premise products, but many deployments are now shifting to the cloud. Many vendors offer deeply vertical solutions, and have pre- and post-sale company resources dedicated to support their vertical products. Vendors in this category also target midsize organizations, offering prepackaged versions of their solutions with more affordable price tags. The leading vendors in this category are highlighted our most recent Customer Service Wave for enterprise organizations.
Unless you’ve been hiding under a rock, you’re probably aware that there was a new release in the Star Wars saga this week. I’m not a fan of science fiction and have somehow managed never to have seen a Star Wars movie in my life — so all of the discussion about what will happen to Luke, Leia, or the Jedi in ‘The Force Awakens’ is completely lost on me. But what I do find extremely interesting is the huge passion of my colleagues and friends to see this movie in a cinema — and as quickly as possible. In the US, Star Wars opens in 4,100 theaters and the movie is a leader in advance ticket sales around the world. And Star Wars is just one of the big blockbusters of 2015 — in fact, analysts expect this year to be Hollywood's biggest box-office year ever.
When we look at our North American Consumer Technographics data, we see that movies certainly have a place in US online consumers’ video behaviors; watching movies in theaters is just behind watching free and paid online video services like Netflix and Hulu.
The customer service vendor space is a mature space. Yet there have been many changes in the last five years and clearly more to come. Two driving factors will accelerate these changes:
Big fish eat little fish, and each bite broadens the reach of the big fish. The customer service market has consolidated in the last five years. Big vendors like Microsoft, Oracle, Salesforce and SAP have made acquisitions to round out their core customer service or broader CRM portfolios.
Vendors from adjacent markets emerge as competitors. The most interesting disruptor to the current customer service market is coming from cloud contact center providers. They provide an end-to-end solution for customer service: a unified communications infrastructure, routing, and queuing engines for omnichannel interactions. Many offer integrated workforce optimization for agent quality management, scheduling, and forecasting. They also have lighter-weight agent desktops that can be easily hardened or acquired. These vendors were not included in this years wave, but they may well be candidates for the next evaluation round.
Have you been so fed up with a company you've said, "That's it, I'm tweeting?" Contrast that with the times you've been so impressed with a company you've said, "That was so awesome, I'm going to tweet about it." Customers do use social to ask brands for help. In a recent New York Times article, Jonathan Pierce, director of social media for American Airlines, shares, “You now see folks with Wi-Fi on board — if they need assistance on board, they’ll tweet us,” he said. “Perhaps if their bag isn’t there within five minutes, they’ll tweet us. There’s an expectation from the customers that we’re there to listen to that and act on it.”
Predictive analytics has become the key to helping businesses — especially those in the highly dynamic Chinese market — create differentiated, individualized customer experiences and make better decisions. Enterprise architecture professionals must take a customer-oriented approach to developing their predictive analytics strategy and architecture.
I’ve recently published tworeports focusing on how to architect predictive analytics capability. These reports analyze the trends around predictive analytics adoption in China and discuss four key areas that EA pros must focus on to accelerate digital transformation. They also show EA pros how to unleash the power of digital business by analyzing the predictive analytics practices of visionary Chinese firms. Some of the key takeaways:
Predictive analytics must cover the full customer life cycle and leverage business insights. Organizations require predictable insights into customer behaviors and business operations. Youmust implement predictive analytics solutions and deliver value to customers throughout their life cycle to differentiate your customer experience and sustain business growth.You should also realize the importance of business stakeholders and define effective mechanisms for translating their business knowledge into predictive algorithm inputs to optimize predictive models faster and generate deeper customer insights.
Global Payments Announced on Tuesday that is planning to buy Heartland Payment Systems, a rival payment processor for $4.3 billion in cash and stock. The two companies’ combined will be the 6th largest U.S. payment acquirer based on card purchase volume and the largest U.S acquirer based on active merchant locations (using March 2015 Nilson data to re-calculate the size of the new company).
Global Payments gets Heartland’s direct sales force focused on selling to higher margin SMB merchants as well as new ISV and Reseller distribution relationships for its OpenEdge Integrated Payments Channel. Global also gains a stronger U.S. presence in restaurant, retail and education verticals.
The new combined company will need to determine how to avoid channel conflict with Heartland’s POS companies, Xpient, pcAmerica, Dinerware and Liquer POS. OpenEdge has operated with a strict mantra not to compete against the channel in the past. Heartland Payments has had a more blended go-to-market strategy – enabling its direct sales to sell its POS systems while simultaneously developing ISV/Reseller channel.
In a recent Forrester survey of 1,821 enterprise business and technology decision-makers, we learned that the top three investments firms are making in customer experiences are in digital customer experiences. 55% prioritize online experiences; 41% are adding or improving mobile experiences; and 39% are improving cross-channel experiences.
None of that happens without big investments in digital experience technology. As firms like Rewe Group, The Home Depot, Schneider Electric, and Westpac have learned, digital experience strategy shapes the technology you need — an investment that can take five years and cost between $20 million and $200 million.
Four Themes Drive Digital Experience Technology Strategy
To find out how advanced firms are building their digital experience strategy, we interviewed technology executives and their marketing and business counterparts in eight enterprises. We also interviewed 13 software vendors, digital agencies, and systems integrators. We found four consistent investment themes among these experts: