I have had the pleasure of attending and presenting at several CIO forums in the past couple months –and with all the talk of their future demise and the changes ahead for Enterprise IT, it’s good to get a view from the CIO themselves. They all seem very interested in the dialog around their role changing in the next 3 to 5 years, and the panel sessions on the topic are mobbed. But I don’t see this group buying into the notion that their role will change – aside from the more progressive CIOs. Actually, at a recent event, it felt like very little was changing – as I sat through presentations that could have easily been given in 1998. Some of the same challenges that traditionally drain the resources of an IT organization are still front and center.
Digital Foundation
The foundation of the science and technology curve
From an Extended Enterprise to a Digital Enterprise
I find myself reflecting on a common phrase as I watch the digital enterprise unfold: “history is repeating itself”. So much of what is happening today, feels like a second and more attainable version of what was happening about eleven years ago. Back then, I remember developing a framework for the extended enterprise – a popular way to describe the inclusion of other value chain members in end-to-end business process. The Internet was going to change the game by providing the infrastructure required to extend a company’s inward-focused business processes to the value chain. It was to become the catalyst for value chain optimization.
I thought back then about the delivery of innovative product and services comprised of differentiated internal services and value-added external services. The Enterprise would in effect be a functional specialist within their value chain, focused on connecting with partners to gain access to information and services. There would be a divestment of assets, as companies focused on their core competency, making external optimization, synchronization and integration critical success factors. Companies would realize that the ability to adapt to market change was inversely proportional to investment in fixed assets.
Is Data and Insight a New Source of Revenue?
In this world of Big Data and advanced analytics, many companies are starting to wonder about the revenue potential of their data. An opportunity to create new revenue streams is an attractive scenario – if data assets can become information products. Although not new, the number of companies that pursue information related products could grow considerably. Most companies upon inward reflection will find that the analytic core competence required to deliver insight – the higher end of the monetization scale – does not exist internally.
This introduces some interesting scenarios that underscore the market need for analytic outsourcing and the establishment of analytic centers of excellence. The evaluation process for this opportunity involves a market analysis that identifies the value-added information products for the target market. Understanding the business outcomes enabled by insight is a critical step in determining which products make sense. In addition, the data required to enable these products must be clearly understood, available, and clean enough to deliver the required insight. The process is then enabled by the appropriate analytic methods, taking advantage of advances in computing power and in-memory capabilities. The ability to include insight from unstructured data through the use of text mining expands the opportunity for value creation.
I envision a number of relationships emerging between technology companies and value chain players. These relationships enable new, more insightful information products by combining traditional data related skills with deep analytic and domain expertise. Companies will look to supplement existing offerings with analytic oriented products and services, or pursue new innovative offerings altogether. Insight as a driver of business and decision processes will be enabled in the future by internal movement towards analytic excellence, the use of external information products and services, or some combination of both. This is a natural response to the “Big Data” phenomena and the need to improve the speed and quality of decision making. It introduces a new era of information brokers that deliver new innovative products and services enabled by business analytics.
Forrester: Mobile Is the New Face of Engagement
Ted Schadler and John McCarthy of Forrester just completed a report titled “Mobile Is the New Face of Engagement”. I had the pleasure of moderating a panel discussion at a TCS Innovation Forum last week, where Ted served as part of the panel. Prior to the panel discussion, Ted used a 45 minute presentation to effectively summarize the content of the new report. He provided a written summary via his Blog yesterday.
When Innovations Collide
The future of sustained competitive advantage hinges on the ability to effectively manage the collision of disruptive innovations. The digital disruption driven by Mobile, Social, Big Data, Cloud and the Consumerization of IT is impacting every industry. To date, much has been said about these individual areas of innovation. But the areas of intersection – critical to creating value from these innovations – have mostly been ignored. As innovations collide, the intersection must be effectively managed – or the result is distributed chaos. As the digital disruption takes hold across every company, in every industry, the need to transform becomes a business imperative – and future digital strategies will define success or failure.
Review of 2011 and Thoughts on 2012
2011 in my mind will be viewed as the launching point of a digital revolution. The momentum started in 2010 and kicked into overdrive in 2011. The rapid adoption of tablets and Smartphones fueled an aggressive development of mobile applications, while E-Book sales increased at a remarkable pace. Meanwhile, the world continued to go social in ways that few would have imagined. World leaders felt the power of Social Media, as revolutions expanded through the organizing power of Facebook and Twitter. Business leaders came to grips with the power of social media, as skepticism waned and social business turned the corner. Data continued to grow exponentially, expanding the gulf between available data and meaningful insight. Lastly, 2011 marked the year that cloud computing burst onto the enterprise landscape – In fact, 2011 may eventually be viewed as the year of the Cloud.
These factors combined to drive an aggressive digital expansion that in most cases happened through isolated initiatives driven by marketing. Businesses with indirect channels to market looked towards direct to consumer models. Regulated industries embraced the opportunity of social media, while addressing its risk. Customer experience became the mantra for many businesses, as re-inventing customer relationships topped most priority lists. New digital executive positions were created in response to growing questions about effective governance models. The notion of holistic digital strategies was in fashion again, and innovation and operating dexterity rounded out the top priorities for most executives in 2011.
Big Data and New Business Models
This recent Big Data Article from the Mckinsey Global Institute focuses on three key themes – some or all of which will impact every company in the future.
- Big Data will increasingly form the foundation of competitive advantage for years to come.
- Big Data will drive new business models across every industry.
- Decision processes will forever be changed.
A company’s use of Big Data will increasingly be driven by competitive pressures from those that effectively leverage its insight. As these companies mature in their use of data, they will shift from competitive response to competitive advantage. Decisions will improve, driven by an ability to simulate and model various scenarios that enable optimal outcomes.
The really interesting aspect of Big Data – and the analytics that help us derive insight – is the potential impact on complete value chains. This article provides some good examples of this phenomenon at work. In essence, data will drive new business models. Members of a value chain that own data may have an ability to monetize it. Those that have a proven ability to deliver insight from this data can monetize a core competence. Some companies may find themselves driving revenue from a business model that was never envisioned.
Whether it is new business models, better decisions, or enabled actions, the effective use of Big Data requires a level of analytic excellence that few companies have with any level of scale. This Mckinsey article echoes an earlier report that identifies a scarcity of analytic resources as a key obstacle to Big Data success. As I talk to companies about their digital strategies, I continue to focus on Big Data as the centerpiece of the strategy.
A New Kind of Intelligence
The explosion of data and content is not limited to social media and represents a top of mind issue for many companies. The opportunity exists to create unprecedented business value – but there are significant hurdles like greater risk exposure, more complicated risk management, and difficulty extracting relevant insight from large volumes of data.
As volume grows, automation is critical. For example, social media monitoring is a common practice today, one that becomes increasingly ineffective and costly as the social web expands. Monitoring tools that enable the analysis of dialog on social networks like LinkedIn, FaceBook and Twitter provide a basic level of insight. But a deeper level of insight still requires a manual process, where irrelevant content is filtered before finding meaningful insight. Information management is therefore a growing challenge.
From Social Listening to the Prescriptive Enterprise
I find myself talking a lot lately about the slow evolution from basic social listening to a more robust use of analytics to truly gain actionable business insight. I have long felt the evolution was inevitable – of course I often think these things and they take years to materialize – a story for a different day. This Recent Forrester Blog Post touches on the notion of moving from social listening, to integrating social and customer data. It also presents a roadmap for how to move through the crawl-walk-run-fly stages.
I am sure the authors realize that although this is a piece of the evolution, there are other steps along the path to actionable business insight. I’m already seeing the movement from basic social media monitoring to the broader use of text analytic platforms. Companies that started their journey focused on brand mentions are evolving to new use cases that deliver considerable business value. One of the signs that we are reaching an inflection point can be found in a growing move towards evaluating text analytics software for a broader set of use cases.
It Comes Down to Excellence
As I reflect upon a month full of customer discussion, it becomes clearer that future and sustained competitive advantage hinge on excellence in two critical areas: collaboration and analytics. The need for a relationship-based enterprise becomes more apparent as we look at the critical need to:
- Re-invent customer relationships
- Leverage the collective knowledge and talent of our organization
- Partner to facilitate operating dexterity
This relationship imperative makes collaboration excellence a critical success factor; and a key enabler is social computing. I don’t mean Facebook, Twitter, LinkedIn, or YouTube (although they play a role) but rather the use of social technologies to drive effective collaboration and communication. This evolution to social business moves the enterprise up the collaboration axis as described in the diagram below.
Disruption
In a recent presentation, Forrester describes the uniqueness of our current business environment as a perfect storm of technology innovation. In the past, technology cycles were driven by one major innovation (mainframe computing, personal computing, networked computing). The current environment sees a perfect storm of cloud computing, social business, mobile computing, advanced analytics and smart computing. This latest cycle begins a period of accelerated innovation, and introduces a larger potential for disruption than in past cycles.
Disruption in many different forms is not just possible, but likely. Business models across many industries are already under attack. The Information Technology (IT) function itself will see considerable change over the next several years. As the workforce and business leaders play a bigger role in technology selection, the role of IT will evolve. What IT looks like in the future is anyone’s guess, but change is almost certain. The current outsourcing model that so many companies have embraced over the years, will change as cloud computing widens its footprint. The way companies build and deploy applications will change, as mobile apps and app stores shift from the consumer world to the enterprise. The way companies interact and communicate with all stakeholders will change, as social media evolves to social business.
Google Plus Making Noise
Update 8/3: This Article by Jay Greene summarizes the results of a recent survey of mobile application developers. This quote captures the key message from these results: “The new quarterly survey of mobile application developers by Web development tool maker by Appcelerator and market research firm IDC found that two-thirds of the 1,621 respondents to the question “Can Google+ catch up to Facebook?” replied yes. The reason: more than 68 percent of the respondents believe Google’s other assets–search, YouTube, and maps, among others–trump Facebook’s social graph lead”.
Social CRM in the Insurance Industry
I recently participated in the writing of an article on Social CRM for the Insurance industry. The piece is now available online via the Insurance Networking News. The Insurance industry is showing a great deal of interest in social business – and I hear it in most discussions with industry executives. It is clear that the industry is beginning to understand that insight from social channels can drive better decision making. Companies like Farmers Insurance are driving new growth, new product development, and customer retention by sharing information from Twitter, FaceBook and LinkedIn with their network of Agents.
A recent study indicates that 56% of companies are planning future Social CRM initiatives, while Gartner indicates that 30% of companies will extend their Social Networking efforts to Social CRM processes within the next two years. As I note in the article, social computing will enable a powerful sales, marketing and customer service platform that improves the customer experience and elevates brand identity. The full article is a worthwhile read, and provides some insight into the future use of Social CRM in the Insurance industry.
Big Data
Big Data is the latest buzzword attracting all kinds of attention. A Brand New Report by Mckinsey takes a detailed look at this new phenomenon. Mckinsey defines Big Data as datasets whose size is beyond the ability of typical database software tools to capture, store, manage and analyze.
Digital Strategy 2.0
I have visited with companies over the last couple of months and the term “Digital Strategy” has come up many times. It started me thinking about the last time the term was very popular – the late 1990s and early 2000 time period. I saw a reference to Digital Strategy 2.0 last week and thought it was a perfect way to describe this latest phenomenon. Several factors are driving this renewed focus on digital strategy:
Predictive Analytics in the Insurance Industry
This very good Article by Anand S. Rao discusses the growing use of predictive analytics in the Insurance Industry. I believe Mr. Rao is right on the mark – although I continue to emphasize the expanding role of Text Analytics in the analytic value equation. In this article, he identifies some of the drivers of predictive analytics adoption.
Now We’ve Got Social Vending Machines?
So here’s an interesting example of the world growing more instrumented: A Social Vending Machine. Text messages and videos are being sent by a vending machine. Just more fuel for the data explosion fire. Innovative companies like PepsiCo are generating ideas that we could not imagine even a year ago. Still doubt the staying power of this social phenomenon? Still think it’s a passing fad? Vending machines just went social. Think of all the other social business scenarios on the horizon. All the while, the volume of insight bearing unstructured data just continues to grow. It gets more interesting by the minute.
Interesting Social Media Information
I came across a very nice visual that describes the Social Landscape. The visual, courtesy of CMO.com, takes a look at the various social media platforms across four categories: customer communication, brand exposure, traffic to your site, and search engine optimization. The diagram provides a lot of information on one page. In addition, this Article provides some perspective on which sites are the best across each of these categories.
Evaluating Listening Platforms
In this report – The Forrester Wave Listening Platforms – Forrested evaluates several listening platform vendors. Using 76 evaluation crtieria, Forrester found that Converseon, Nielsen, and Radian6 are the leading vendors. As the need for social intelligence intensifies, companies will continue to invest in listening platforms, while expanding the number of use cases addressed. In evaluating nine vendors, Forrester focused on the strengths and weaknesses of each vendor. The key areas of focus were: user experience, dashboards, data quality, consulting, text analysis, data source coverage, and social media outreach tools.
A Renewed Focus on Voice of the Customer
Understanding the customer in the world before Web 2.0 was a relatively straightforward task – but the emergence of Web 2.0 has brought an explosion of social channels including blogs, wikis, forums, social networks and an array of social media. Today, customers have a loud and clear voice where they openly share ideas, perceptions, and problems about products and companies. They create trusted communities and powerful, influential constituencies. The voice of the customer (VOC) is therefore expressed in different forms through different channels. These channels are insight rich, with a wealth of untapped customer intelligence. Traditional technologies are unable to access or decipher the unstructured content upon which today’s customer conversations and insights are built.
Reimagining the Future 