Thursday 11 February 2016

The Soft Skills of Great Digital Organizations

Smart organizations have recognized that introducing new technology into the workplace isn’t about hardware or software: it’s about wetware, also known as human beings. If you want to be the kind of nimble business that can make the most of successive waves of tech innovation, you need human beings who can adapt to change.

That means equipping each person in your enterprise with the skills and mindset that will help them successfully adapt whenever you introduce new tools like Slack, Basecamp, or even Google Drive into your workplace. But what exactly are these digital skills? They may be more familiar and low-tech than you think. Here’s how to cultivate a more digitally nimble workplace:
Goal-centric thinking. It’s really easy to get caught up in the pressure to adopt the latest cool platform or tool. But most people only embrace technologies that actually help them achieve concrete and valued goals. Accept that not every tool is going to be embraced by every employee — and empower them to choose the tools that will actually help them work more effectively. To ensure that inertia (or tech phobia) doesn’t discourage people from adopting the technologies that really can be valuable to them, communicate the specific problems, benefits, or situations the technology is meant to address. And teach your employees to start each tech adoption process by thinking about the specific goals they want that technology to help them accomplish, so that they make effective use of each tool.
Collaboration skills. Collaboration tools like Google Docs and Basecamp can’t make up for missing kindergarten. If your employees don’t know how to play nicely together, having the tools to communicate is not going to combat tendencies to hoard knowledge and resist sharing progress with one another. Your organization will only make effective use of collaboration software if you foster a culture of mutual trust, and reward team effort as much as individual contribution. Even a cooperative team culture may have players who have difficulty sharing: help those employees build their collaborative capacity by encouraging them to share in a smaller way, and to expand their use of collaboration tools as they get comfortable sharing what they know.

Common B2B mistakes around Content Marketing


B2B buyers often have made up their minds about a purchase before a sales rep even gets a foot in the door. It’s no wonder, then, that more than 90% of B2B sellers have turned to content marketing to help regain access to buyers in the early stages of the purchase process. Yet CEB research finds that most of these efforts fall short of expectations. Why? The research, involving over 5,000 B2B purchase participants across 12 industries, uncovered three mistakes that undermine firms’ content marketing.

Mistake #1: The content focuses on “thought leadership”
Most marketers would describe their current content strategy as an effort to demonstrate “thought leadership” in their industry. CEB research, however, indicates that simply representing a “smart or expert perspective” has no significant impact on customers’ decision making. Only content that teaches customers something new about their business and provides a compelling reason to change their behavior proves sufficient to influence the decision process.
Consider Xerox Technology Business, a division that provides enterprise printing capabilities to various industries, including schools. The firm’s market research found that while educators and administrators depend on printing capabilities to support teaching and enhance student performance, the company was overlooking an important driver of students’ success. Digital technology has so completely reset student expectations that their attention and interest dramatically decline when print materials are black-and-white — as is so often the case in today’s classrooms. Before turning to what educators could be doing with new technology (color printing), Xerox content marketing focuses first on what educators are currently doing with existing technology (black and white) and that approach’s costs to educational performance. Only then does Xerox content turn to the importance of color classroom materials, simultaneously offering ways of capturing digital natives’ attention through color printing, which is cheaper than new classroom hardware such as tablets. (Leah Quesada, VP of marketing at Xerox, and her team tell the story in this video.)
Mistake #2: The content overdoes personalization
Recent CEB research indicates an average of 5.4 customer stakeholders are involved in a typical B2B purchase. And as the number and diversity of required decision makers grows, marketers are concluding they must personalize content so that it resonates with each stakeholder. Yet our research tells us this strategy backfires: the greater the personalization of content for each member of a purchase group that must reach consensus, the lower the likelihood of a “quality sale” (one in which the customers didnot take a smaller deal at a lower price).
Why would personalized content negatively impact deal quality? In short, personalizing content for each of a group of diverse stakeholders, often with differing priorities, amplifies disconnects rather than overcoming them. Thus, an effective content marketing strategy must anticipate those disconnects and present a broader vision that allows purchasing group members to see their role in a collective solution.
What does a better approach look like? We like the example set by Jeff Lowe, CMO of SMART Technologies, and his team. SMART sells solutions that enable remote workers to collaborate more effectively. Many stakeholders are commonly involved in a purchase: a CIO, CFO, head of procurement, facilities manager, and leaders of the end-user communities. Instead of creating content for each of those stakeholder groups, Jeff and his team target “collaboration champions” in the customer organization, people who actively support the collaboration cause and can build purchase consensus around a common vision.
As a result, Jeff and his team reoriented their content strategy away from personalizing for multiple individual customer stakeholders and toward engaging these champions. To this end, they build “champion identification toolkits” specifically designed to enable SMART sales reps to identify these individuals and then guide them step by step through the consensus-creation process.
Mistake #3: The content doesn’t help sellers gauge purchase progress
Even good content can fail to provide a view into customers’ progress along their purchase path, as it’s not designed to reveal, through how customers engage with it, where they are on a purchase journey. Consequently, marketers often mistake engagement with their content as an accurate proxy for purchase progress and, as a result, prematurely (or belatedly) pass opportunities on to sales.
The best marketers design content so the timing of customers’ engagement with it indicates their location on the purchase path. To do this, marketers first map the purchase path — including the questions customers are most likely to ask at each step along the way — and then design marketing pieces that answer just one question each.
Pam Boiros, Skillsoft VP of global corporate marketing, and her team created just such a piece, called Cloud Based Learning Solutions. It’s an online, self-serve toolkit comprising a collection of smaller pieces of content designed to take customers sequentially through a solution purchase. The team constructed the toolkit so that Skillsoft can observe customers as they engage with each piece of content. Because each piece is aligned with a particular step in a typical buying process, engagement tells Skillsoft where customers stand in the process. Based on that intelligence, the team has a good sense of when a lead is ready to be contacted by a rep.

These approaches represent a break from standard content strategies that rest on the idea of publishing “thought-leading,” personalized content and monitoring consumption to indicate “sales readiness.” A failure to rethink conventional wisdom, however, might easily mean increasing investments in content marketing that actually diminishes performance.

Gartner’s Top 10 Strategic Technology Trends For 2016

  1. Device mesh is the expanding, pervasive technology underpinning that delivers frictionless, fluid, dynamic connections involving people, things, and businesses whether you’re with a customer, working in a warehouse or an oil field, shopping in a retail store, eating at a restaurant, watching the game, or driving in your car. “Smartwatches are the tip of the iceberg,” said Cearley. “Many of these technologies are very targeted so you need to think about certain opportunities like notifications, micro-interactions, and different levels of control or context that’s provided to the user such as employee productivity with authentication mechanisms or hands-free production.” As one example of the growth of augmented and virtual reality, Gartner predicted head-mounted displays will dramatically increase from 260,000 unit shipments in 2015 to 2 million units next year and 25 million units by 2019.
  1. Ambient user experience seamlessly blends the physical and virtual, adapting contextual information including user actions, environmental sensors on available devices, historical data, and capabilities from applications. Cearley said this will evolve to a unified multi-sensory experience. “Application design has to think outside-in starting with the user. You’re designing for the personal cloud that exists for the user – their devices and scenarios that change throughout the day.”
  1. 3D printing using advanced, multiple materials will create high-value innovation opportunities in industries like pharmaceuticals, life science (prosthetics and skin), electronics, food, and industrial manufacturing.
  1. Information of everything will begin to make data meaningful to create smart machines that store, collect, and share valuable, actionable knowledge sources across the business ecosystem.
  1. Advanced machine learning uses new types of models to infuse greater intelligence into systems. This is the next step in analytics, functioning as the “brain” of autonomous, smart machines able to learn, act, and adapt behavior.
  1. Autonomous agents and things are on the rise creating new business opportunities. This includes robots, drones, driverless vehicles, virtual customer and personal assistants, smart appliances and tools, smart security and operations, and smart enterprise apps.
  1. Adaptive security architecture goes beyond blocking the company’s virtual perimeter to building risk mitigation into the system on a continuous basis using advanced behavioral and entity analytics that predict, prevent, investigate, contain, and remediate incidents.
  1. Advanced systems architecture supports smart machines, in which specialized appliances can dramatically scale connections, turbo-charging innovations like facial recognition and cognitive learning.
  1. Mesh app and service architecture emerges as a unified model to build microservices linked together into applications delivered across devices in the digital mesh. “There’s a significant learning curve and discipline required for this,” cautioned Cearley. “It’s not for everyone today but is one of the hottest topics.”
  1. Internet of Things architecture and platform has to be built so all the components are linked together including analytics, orchestration, data, an integration layer, aggregated device management, gateways, and the user interface.
Source: The IoT, Industry 4.0, and the networked economy may have more impact on the future of your business than anything else on earth. To learn why this is true, listen to expert research on Myth-Busting: The Networked Economy.