Client Insights, Managing Consultant, IBM Center for Applied Insights
This is my third post in our series about research into changing sourcing strategy and execution. My first post looked at how leaders are taking a broader and more strategic view of sourcing relationships. In the second, I looked at the dramatic financial impact of sourcing decision-making (2x the revenue growth and 5x the gross profit growth compared to their peers!). Here, I’ll explore top business priorities and partner capabilities Enterprise Innovators are looking at to structure, scope, and govern these shifting sourcing relationships.
Priorities are shifting and capabilities must adapt to match Enterprise Innovators include enterprises which put a greater focus on innovation and sourcing for a broad set of capabilities. Agility and market responsiveness are key differentiators. If they are going to get the rapid innovation and growth they seek, they need specific capabilities from their chosen partners.
Enterprise Innovators are looking for providers that can help them wherever they want to go:
Geographic specific experience and expertise
Proven physical and IT infrastructure
Flexible, integrated supply chains
Creative approaches to existing channels
Proactive ideas for new technology
Enterprise Innovators are experimenting with new business models along the way, trying to learn quickly and driving new ideas to results. If partners cannot respond, they may be left behind.
As I’ve said, these leaders are seeking a different kind of provider, in truth, a different type of relationship. To accomplish their business objectives, they recognize the need to alter the way they structure and manage their long-term alliances. Key facets of this change is outcome visibility, a focus on transformation (not just moving capabilities), and keeping all players involved in governance.
How can we see success?
Historically, service level agreements have focused on operational or cost-centric measures like system availability or cost per service desk call. But new leaders are aligning measurements with business priorities. In the financial services sector, that might mean driving uptake in mobile banking; in the telco industry, it might be lowering subscriber acquisition cost or increasing up- and cross-sell rates; or for a retailer, it might involve meeting an aggressive roll-out schedule for expansion into a new market. This shift in thinking gives rise to new vendor valuation models – ones that can help assess a provider’s contribution to broader business objectives beyond cost reduction.
Must everything change?
Enterprise Innovators are sourcing to get capabilities they need to innovate on a broad scale. So there’s a transformative bent to their sourcing relationships. Their contracts are more likely to be vertically integrated – they may include business process, applications and technology infrastructure – to enable more holistic change.
Enterprise Innovators are more likely to engage partners for specific industry or functional expertise which they can leverage to transform the roles of their employees. If their aim is marketing innovation and they’re sourcing analytics capabilities, they want their partner to do more than just provide a basic service – they want help reshaping how the marketing function works – to drive beyond understanding customer segments to understanding individual customers, from describing what’s happening to predicting what’s next.
Can we just work together?
Enterprise Innovators are pushing faster toward enterprise-wide governance. Because they’re focused on results, they recognize the need for input and collaboration across all the business units and providers involved. If the goal is accelerating the launch of new products and services, then marketing, manufacturing, distribution and sales may all need a voice in related services sourcing decisions.
This post concludes my three part series on sourcing market shifts. Want to continue the conversation? To learn more, visit our page and download the whitepaper!
Consultant, IBM Center for Applied Insights
I came across this Smarter Commerce video a couple of weeks ago and I really like because it gets to the core of what Smarter Commerce is and why you should care about it. If you take a few minutes to watch it, what you’ll notice is that it keeps coming back to the customer as a central theme.
And at the end of the day, that’s really what Smarter Commerce is all about. It’s taking all of that data you’re collecting, helping you develop insights about your customer and the marketplace, and then applying all of that to every aspect of your business.
We recently conducted some research on a couple of specific areas with our colleagues from IBM DemandTec. Specifically, we looked at retail merchants and CPG sales organizations. The retail merchant research was conducted in collaboration with Planet Retail and the CPG sales org research was conducted in collaboration with Kantar Retail.
As we looked at the data from these research projects, we kept coming back to the same central theme as the video above: the customer. Everybody talks about being customer-centric. It’s almost a cliché. But what we found was that while everybody talks about it, most aren’t actually doing it.
Merchants tend to be product and category oriented, and CPG sales orgs tend to focus on their customer, the retailer, rather than the end consumer. Now we’re not saying that merchants should forget about product categories or that CPG sales teams should ignore the retailer, but we found that groups that placed a strong focus on the customer (or more specifically the consumer when talking about CPG) tended to outperform those that didn’t.
These “leaders” were customer-focused and collaborative, both within their enterprises and externally with vendors and partners. And they also made much greater use of analytics to uncover insights about their customers and the marketplace. The differences were really quite striking. For example, Leading Merchants were 1.6x more likely on average to use analytics to drive merchandising decisions, while Leading CPG Sales Organizations were more than 1.7x more likely to use analytics to improve product innovation.
Senior Consultant, IBM Center for Applied Insights
When you are in the business of developing (hopefully) provocative, data-driven thought leadership, every topic or issue can seem like it is undergoing rapid, fundamental transformation. Things are faster. Things are more complex. Things are being disrupted. When setting out earlier this year to take a look at how the role of finance and the CFO is changing, I had to make sure that I wasn’t going to fall into that pattern without due cause.
There are plenty of articles, reports and other quips saying that CFOs can’t just keep the books anymore. Protecting the bottom line isn’t enough. The value that they provide needs to change. Finance leaders have to be more creative, more innovative, and more strategic, yet still maintain operational discipline and efficiency.
Is this true? Are there finance leaders who are doing things differently and succeeding because of their efforts? After research, analysis, study and conversation, I have to say that this is real, and it comes down to those who can manage three areas that are accelerating concurrently and reinforcing one another.
Accelerating technological change…
With economic uncertainty and tightening business and technology cycles it is hard to stay at the cusp of change, let alone get ahead of it. A recent article on the Forbes blog, “4 Ways Technology Is Transforming Business Strategy”, does a nice job explaining why technology is disrupting strategy. Since technology (mainly IT, but also in other areas) doesn’t change in a nice linear way, it’s dramatically reducing the shelf life of business models. The pace of change is out of whack, coming in fits and spurts, and making the job of finance executives, who like things nice and predictable, very difficult. But technology is not just a challenge; it’s also an opportunity to give CFOs and other finance practitioners new tools.
Accelerating strategic change…
Traditionally a functional role, finance has always been responsible for efficient financial operations, ensuring compliance, providing trusted information and managing cash and capital. However, things are getting harder and harder with stability and predictability becoming a thing of the past when it comes to markets, competition, and customers. What can CFOs do about this strategic shift?
In the article, “Think Functionally, Act Strategically”, the author discusses how functional roles, like finance, have to change to meet accelerating strategic change. They have to balance the basic business capabilities and competitive necessities of the past with differentiating capabilities of the future. It is not just about using the current capabilities and processes of the organization anymore – CFOs have to co-create the strategy, the tools, the processes and the implementation plans with the rest of the business.
By embracing and riding technology and strategic acceleration, CFOs can potentially unlock performance gains. We decided to go back and re-examine the results from IBM’s 2010 Global CFO Study, extend the work, and see how organizations were performing financially that were pushing their efficiency and analytical capabilities. You can read the approach and details in the report, but looking at financial measures like revenue and EBITDA, we found that those enterprises that are excelling at efficiency and insight are outperforming financially through all phases of the economic cycle. We hypothesize that this is opening them to new strategic possibilities – evolving into what we call “performance accelerators” (see graphic below).
CFOs and others in the finance function can help manage the acceleration of technology, strategy and performance. By using their current capabilities and developing new tools and processes, they can act as headlights, the gas, the breaks and the navigation system for their organization. We can’t analytically prove the existence of “performance accelerators” yet, but with further research we expect to show that strategic, growth-driven CFOs are seeing accelerating performance benefits.
Client Insights, Managing Consultant, IBM Center for Applied Insights
This is the second post in a 3-part series about our new Sourcing research. My first blog post in this series looked at current outsourcing market shifts - a broader and more strategic view of sourcing relationships. Today I am exploring the financial impact of sourcing decision-making. Enterprises that source broadly across the organization and with a primary focus on innovation perform better financially – racking up 2x the revenue growth and 5x the gross profit growth compared to their peers.
An initial look at average revenue growth and gross profit growth across segments suggested a potential correlation between partnering strategy and business performance. You can see below that respondents who are both sourcing broadly and sourcing for innovation, outperform by considerable margins (as you may recall we are calling these outperformers 'Enterprise Innovators'). However, we knew that a number of other factors – such as industry, company size, geography – could be influencing these results.
We initiated analysis to help rule out firmographic characteristics as the reason for Enterprise Innovators’ outperformance. Against a slate of financial measures, each based on 3-year 2011 compound annual growth rates, Enterprise Innovators trended higher than the average of the other segments combined. This overall pattern is statistically significant. However, since this sourcing study is observational, we could not definitively conclude that Enterprise Innovators’ approach to sourcing causes better financial performance based on this correlation. To help make that case, we used an analytical technique called propensity score modeling.
Propensity score analysis matches Enterprise Innovators with other organizations in the sample that have similar firmographic characteristics, such as industry, company size and geography. In this case, we calculated propensity scores using 68 Dun & Bradstreet variables – those which showed a significant difference between Enterprise Innovators and the other segments.
Enterprise Innovators scored higher than other businesses on all financial measures even after propensity score matching, suggesting their approach to sourcing – i.e., sourcing broadly to drive innovation – was a contributing factor to this higher performance.
My next blog post in this series will look at top business priorities and partner capabilities across the sample, and then explore how Enterprise Innovators structure, scope, and govern their sourcing relationships. Please log in and leave a comment!
Based on changes we’re observing in the market, along with direct experience working with clients, we initiated survey research to explore the premise that outsourcing motivations have shifted, and therefore, so should sourcing execution. Traditional outsourcing was focused on cost savings – now we’re seeing a shift to sourcing for skills and expertise – cost is still important, but organizations are indicating that they’re looking for higher business value outcomes as well.
To better understand sourcing motivations and execution, we started this research with three objectives:
To understand how sourcing motivations are changing
To determine how sourcing strategies impact financial performance
For those clients who embrace a new sourcing strategy, do they have different expectations? And, how do they structure and manage their sourcing relationships?
The rise in social, mobile, cloud computing and big data is creating tremendous potential for innovation. But it’s also forcing C-suite leaders to reconsider whether their organizations have the necessary expertise to capitalize on these opportunities. Of the number of factors impacting their organizations such as market factors, regulatory concerns, globalization, environmental issues, etc, CEOs reported technology as the most important factor impacting their organizations over the next three to five years. This is forcing organizations to rethink how they operate - creating new challenges and opportunities.
Across the C-suite, we’re seeing a pattern of partnering to get the right skills and expertise to innovate faster and move the business forward.
69% of CEOs are looking to partner extensively
53% of CEOs are partnering for innovation
92% of CMOs will increase use of external partnerships for customer and data analytics
65% of growth-focused CIOs are partnering extensively to change the mix of skills, expertise and capabilities
Sources: 2012 IBM Global CEO Study, 2011 IBM Global CMO Study, 2011 IBM Global CIO Study
We’re seeing a focus on looking to partner extensively, partner for innovation, and gain new skills that they haven’t had before. This shift in mindset – bringing strategic capabilities in, versus sending work out – is one reason enterprises are balking at the word “outsourcing” to describe these sourcing relationships.
To better understand the changing dynamics in business and IT services sourcing, we surveyed 1,351 sourcing decision makers from around the world. Our findings suggest that sourcing motivations are evolving beyond cost savings to include higher-order business outcomes like competitive advantage and innovation.
This sample was intentionally designed to be robust and diverse and included:
Growth and major markets
Business and IT leaders
C-level and key decision makers. Respondents had to indicate they played a key role in sourcing decisions for their organization to participate.
When we looked at breadth of outsourcing and primary motivation, this 2x2 segmentation model emerged:
Four partnering strategies:
Enterprise Innovators are looking to outsource broadly, and indicate a primary motivation of innovation.
Focused Optimizers are motivated to innovate, but are more narrow in their approach.
Enterprise Optimizers indicate they partner extensively, but they do outsource primarily for efficiency. They indicate they’re not yet looking to incorporate innovation in their overarching sourcing strategy.
Focused Optimizers, the largest population, partner narrowly for efficiency and effectiveness.
The y-axis explores primary motivation for outsourcing. We presented a range of options from traditional motivations focused on staff augmentation, IT or business process cost reduction, to productivity improvements achieved through standardization, automation, centralization, to innovation. We defined innovation to be aspirational - changing the way your industry works, changing the way you monetize value and redefining your company’s role in the value chain, including how you collaborate and how you operate.
For the x-axis, we looked at respondents’ current extent of outsourcing. We asked respondents whether they outsource across 80 different business processes, applications and IT functions. Using a trimmed mean analysis approach, the midpoint is 14. Those below the midpoint were categorized as sourcing in a more narrow fashion, those at or above the midpoint were categorized as sourcing broadly.
For those below the horizontal line, their primary motivation is operational efficiency or effectiveness. This includes traditional outsourcing objectives like short-term resource augmentation, cost reduction and traditional productivity improvements. Only 7% of surveyed decision makers said cost reduction and efficiency was the sole reason they outsourced IT infrastructure, applications and business processes. So while we’ll see in a future blog post that cost savings is a key business priority across the sample, it is not the sole reason for outsourcing for the majority of our respondents.
It is not enough to outsource broadly or just for innovation within a discrete process or function. It’s the combination of sourcing broadly across the enterprise for innovation that drives financial outperformance.
My next post explores the link between partnership strategy and financial performance. Log in and leave a comment!
In my previous post, I emphasized the importance of consumer focus for CPG companies. We, at the IBM Center for Applied Insights, have been working on a comprehensive global study* to gain more quantitative and qualitative insights about the increasing consumer focus of these CPG companies.
For the purpose of this study, we have segmented the market in terms of the degree of consumer focus and the use of analytics by the survey respondents. In this post, I would like to point out towards the most notable finding of the lot: existence of a “Leader” group amongst the survey respondents which enjoys much more clout with the retailers. In fact, they are nearly three times less concerned about needing a retailer’s approval to execute their plans, and 1.4 times less concerned about seeing their planning processes extended as a result of delays. They also exhibit superior financial performance over the rest. Between 2009 and 2012, the leading publicly quoted consumer products companies in our sample saw their stock prices rise 1.6 times faster than the rest (16 percent cumulative annual growth rate for Leaders compared to 10 percent cumulative annual growth rate for Others).
The companies in the Leader group use advanced analytics and collaborate extensively (both internally between functions and externally with retailers) to develop a high degree of consumer focus.
As shown in the figure 1 below, they comprise of about 15 percent of the total respondents.
The executive presentation will be delivered at the IBM Smarter Commerce event at Nashville this week.
For more details and insights on what exactly are these leaders doing differently than the rest and what steps can be taken to become one, revisit this space in a month. The Center and IBM DemandTec are authoring a complete paper on this topic, due out by the end of June.
I look forward to your comments and observations. Please click “Add a Comment” below or “More Actions” to share this with others.
Note - For the purpose of this study, we conducted telephone interviews with 356 senior sales executives at consumer products companies in Australia, Canada, India, the United Kingdom and United States, between February, 2013 to March, 2013. These respondents cover 10 product categories. Forty-six percent of them work for large enterprises (employing 1,000 or more people), while 54 percent work for medium-sized enterprises (employing 100-999 people).
Managing Consultant, IBM Center for Applied Insights
Yesterday, we hosted a virtual livestream launch of our new Sourcing research. We’re live with exciting new research that explores how business and IT services sourcing are shifting – and the link between these shifting motivations and better business performance.
The sourcing market is changing. Clients are looking for sourcing relationships that offer higher value business outcomes in addition to cost savings. From our direct experience working with clients and general market observations, we've recognized technology shifts are accelerating the need for capabilities organizations don't have in-house.
To explore the extent of this shift – and how it is impacting organizations' sourcing motivations and strategies – we initiated a large-scale research project. Through this research, we saw distinct differences in the way that clients view outsourcing, and we uncovered a link between innovative sourcing practices and better business performance.
To better understand sourcing motivations and execution, we had three objectives for this study:
To understand how sourcing motivations are changing
To determine how sourcing strategies impact financial performance of the business
For those customers who embrace a new sourcing strategy, do they have different expectations? And, how do they structure and manage their sourcing relationships?
For the virtual panel, Rich Lechner, IBM VP of Services Marketing, served as moderator. I kicked off the discussion with an overview of study methodology and key findings. Then we were joined by the following experts:
Phil Fersht, CEO & Founder, HfS Research
Pat Kerin, General Manager, Strategic Outsourcing, Global Technology Services
Stan Sutula, Vice President, Finance and Planning, Global Technology Services
Joanne Collins-Smee, General Manager, Globally Integrated Capabilities, Global Business Services
Senior Consultant, IBM Center for Applied Insights
Sometimes time and space conspire to create an opportunity that you weren’t expecting. That was the case for me last week. Near where I live, the University of Rhode Island (URI) hosted their third Cybersecurity Symposiumon education and workforce development. Speakers included the entire Rhode Island Congressional delegation, the director of the U.S. Defense Intelligence Agency, the CIO for the U.S. Department of Defense and a number of industry practitioners, including IBM’s VP for Cyber Security Innovation Marisa Viveros. Marisa was the co-author of the paper that we recently published on leading practices for cybersecurity education.
The symposium was open to the public and students, had over 400 attendees, and flew at a fairly high level. There were some excellent takeaways and parallels to IBM’s recent research with respect to cybersecurity skills and education. The Congressional delegation, which included Sen. Whitehouse, Sen. Reed, Rep. Langevin and Rep. Cicilline, each emphasized different areas of the cybersecurity challenge. This included improving public awareness, the national security implications of the rapidly changing cyber threat, the difficulties with law enforcement, and the need to protect our privacy, civil rights and liberties.
Lieutenant General Flynn of the U.S. Defense Intelligence Agency (and URI alum) was a very engaging speaker and talked about the “invisible war” that is currently being waged in cyberspace. He highlighted the profound transition U.S. security is currently going through – caused by population, economic and technology shifts – which require new ways of thinking. To fight this invisible war, he said that for every person currently working in cybersecurity today, we need a staggering twenty-eight more. He also repeatedly talked about the generational issues involved in cybersecurity and that real rules and discipline have yet to emerge on the international stage. He advocated something akin to the “law of the sea”, but for the cyber domain.
The business and industry panel included speakers from Google, IBM, Dell SecureWorks, CVS and Fidelity Investments and was much more open and conversational. They all brought their perspectives – whether providing information security or managing it for their organizations. There was a lot of discussion about how to break into the field of cybersecurity, what skills to have, what courses to take, and career paths. Stephan Somogyi, from Google, talked about the need to educate everyone on digital hygiene and focusing education on the basics of computer science. He said that you have to have a passion for security, it is a calling. If you have that, you can come from any field. Jeff Shilling, from Dell, talked about the incredible need for security technicians, those with hands-on skills. He has enough security managers, what he needs are those that can do the work (he agreed with Lt. Gen. Flynn’s assessment).
A lot of the themes from the day echoed what we recommended through our research. Local and national collaboration was evident with the diversity of speakers and the support from the entire university, the Congressional delegation, the military and industry. The importance of awareness was highlighted over and over. URI is working on innovative ways to provide hands-on experience for students through a low-cost Open Cyber Challenge Platform they are developing. The need for improving non-technical cybersecurity academic programs for business and policy leaders was highlighted in a new study from the Pell Center for International Relations and Public Policy.
This was a very valuable event, and I hope that it continues on an annual basis. Even though it was to raise local awareness and promote URI and its computer science program, it could stand to have increased global participation in the next iteration – which was one of our key findings.
For a summary of our recent research check out and share the Prezi presentation below:
Let’s start with some startling facts about the consumer products and goods (CPG) industry. Failure rates of new product innovations are estimated to be higher than 70 percent globally. Still, more than 80 percent of traditional marketers make decisions based on gut feel and past experiences, instead of using scientific approaches that unlock new insights (for example, advanced analytics).
Today, CPG companies are wrestling with a host of market challenges related to market, retailer and technology. Some of the significant challenges faced by the CPG companies include:
Market – Volatile commodity prices and shifts in global supply and demand increasingly influence the gross profit margins of CPG companies. Large multi-national CPG companies have global supply chains and they sell globally, hence their profit margins are affected by the cyclical movements of currencies, economies and other macro-economic factors in a country.
Retailer – The increasing clout of retailers in the marketplace poses significant challenge to the CPG companies. The big retailers are getting even bigger and more powerful. CPG companies face pressure from the retailers to reduce prices. There is a lack of collaboration/partnership with the retailers as retailers continue to limit access to consumer data and insights. CPG companies increasingly find it challenging to obtain approval from retailers for executing their plans and strategies. Maintaining retailer’s loyalty also becomes a big ongoing challenge for the CPG companies.
Technology – Keeping pace with exponential increase in data and associated analysis and technological developments has always been a challenge for the CPG companies. Companies are struggling with integrating data across channels and functions, cleaning and standardizing it and churning it with the help of advanced analytics to produce actionable insights.
These are all important challenges worthy of attention for the market participants, in order to survive and compete in the marketplace. Still, the manufacturers should start focusing on the one thing that can inform their product development, improve their operational effectiveness, increase their competitiveness and boost their profits - the consumer.
The presence of today’s technology-enabled empowered, omni-channel consumer affects how CPG companies control costs, grow sales, coordinate a wide variety of trade activities, manage time and manage the customer (retailer) relationship. These consumers are empowered by an abundance of information, technology and choices. Their expectations from the companies have increased in terms of ongoing engagement and constant experience across channels. And they can champion or sully the reputation of a brand at the click of a mouse. Their constant online and offline engagement with companies and their products generate a lot of data about their shopping behavior and preferences. That is why, manufacturers should start taking their end consumers more seriously as this knowledge can inform various functions like sales, supply chain, IT etc. across the companies (and not just marketing) and help companies transform their entire value chain. This would help them to anticipate consumer need s and proactively plan for them. This can also help them collaborate with retailers and gain a seat at the decision maker’s desk.
Many CPG companies, globally, have started to realize this need of strong consumer focus and are deploying dedicated resources and advanced analytics to develop consumer centric capabilities. For example, in its 2011 category leadership study by Kantar retail, when retailers were asked which manufacturers ranked among the top three in consumer/shopper insights and category management, Procter & Gamble (41.9%), Kraft Foods (37.1%) and PepsiCo (27.0%) came out on top, with General Mills a hair width behind (26.9%).
We, at the IBM Center for Applied Insights, have been working on a comprehensive global study of over 350 CPG senior executives to gain more quantitative and qualitative insights about the increasing consumer focus of these CPG companies. The focus of this study would be to understand market trends, the need for consumer orientation, who are the leaders, how they are doing it and the results achieved.
Watch out this space for more insights and information on the release of forthcoming executive presentation, info-graphic and white paper.
I look forward to your comments and observations. Please click “Add a Comment” below or “More Actions” to share this with others.
David Jarvis Senior Consultant, IBM Center for Applied Insights
In a world of increasing and varying information security threats, academic initiatives focused on cybersecurity are proliferating - yet, there is still the danger of falling short in addressing the long-term threat. To avoid becoming too focused on near-term issues, programs must be more collaborative across their own institutions, with industry, government, and among the global academic community. Only by working in concert can we meet today’s demand while educating the next generation to create a more secure future.
There have been a lot of recent reports, blog posts and news articles discussing the cybersecurity skills gap. It has been an ongoing issue for a while, and will continue into the future. We wanted to tackle this problem, not from the demand side, but from the supply side. So, the IBM Center for Applied Insights and IBM’s Cyber Security Innovation team selected 15 academic programs in 6 different countries from the over 200 institutions we monitor and work with. We conducted interviews with faculty members, department chairs and others. This week, we released a synthesis of those interviews in our latest security insights paper,“Cybersecurity education for the next generation: Advancing a collaborative approach” .
Through our interviews it was confirmed that cybersecurity is top of mind for students, educators, industry and government. Industry and government are currently facing a significant skills gap and this is causing the programs we interviewed see extremely high demand for their students, both undergraduate and graduate.
But, not all is rosy with the increased demand and attention. Programs are expected to provide more of everything – courses, graduates, opportunities, research – which has caused programs to face a number of organizational and technology challenges. Stained programs are addressing these challenges in different ways, taking different approaches to cybersecurity education, but still sharing similar common principles.
The trends, challenges, issues and differing perspectives cannot be fully addressed by each academic program on its own; cybersecurity is a global problem and should have global solutions. A set of leading practices promoting a longer-term and more collaborative approach is needed. We identified three general areas that the leading programs we talked to excelled at, all dealing with collaboration and connection.
1. Collaborate within your own institution – Cybersecurity programs should embed security practices and principles in computer science and engineering courses and take a holistic technical approach. They should work with other disciplines and schools in the university (e.g., business, law, ethics, medicine, policy). They should offer diverse education options for students and professionals (graduate, undergraduate, professional development, etc.).
2. Co-evolve with industry and government – Academic programs should have deep ties with industry and government – partnering and collaborating on research, curriculum development, and opportunities for students. A hands-on, practical, approach is also extremely important. Laboratory work, projects, special-interest groups, and internships should all be cultivated.
3. Connect across the global academic community – A number of the programs we talked with discussed the need for building a “science of security” to anticipate security problems and a cross-discipline lingua franca among scientists, engineers and policy makers. Fundamental concepts and common vocabulary can only be developed with participation of the entire global cybersecurity community.
We recently put together a nice video that provides an overview of Marketing Science. What is Marketing Science exactly? Well you can either watch the video or take a look at our Whitepaper. But the short version is that it's a way for marketers to deal with the challenges that "Big Data" presents by using a more rigorous scientifically grounded approach to develop insights and then using those insights to impact the business.
The concept itself really isn't very complicated. We've boiled it down to 3 steps: Architect Data, Apply Science, and Influence Action. However, the application of these concepts isn't always easy or straightforward. So over the coming months, I'll be posting about some of our own internal examples of applying Marketing Science to give you a better feel for what it looks like in practice.
And if your company has been engaging in Marketing Science, we'd love to hear about it. Who knows, maybe your example could be the subject of a future blog post.
Derek Franks Consultant, IBM Center for Applied Insights
The era of “Big Data” presents a variety of challenges and opportunities for marketers. With the increase in volume, velocity, and granularity of data, marketers can become much more precise in how they interact with both the marketplace and individual customers. But the same time, when you’re dealing with large volumes of data, it’s easy to over-fit your models and mistake “noise” for “signal”, to borrow a concept from Nate Silver’s excellent book, The Signal and the Noise.
This is something that we’ve been dealing with internally at IBM for a while now. In response, we’ve developed a framework internally that we think may help others refine their own approach to generating insights from data.
We call this framework “Marketing Science”. This is a 3-step framework consisting of “Architecting Data”, “Applying Science”, and “Influencing Action”. The fundamental idea is to apply the scientific method to developing insights within a business setting. This presents unique challenges in and of itself. But there are some basic concepts to keep in mind:
"Architecting" (or collecting and structuring) data is extremely important. The rest of the process depends on getting access to the right data from a variety of sources and if you haven’t done a good job of dealing with data across your enterprise, it’s like trying to run a 100m race with your shoes untied.
A hypothesis-test-refine approach to data analysis is central to the concept of Marketing Science. Developing and testing hypotheses is one of the main ways you limit your exposure to over-fitting data.
Within a business setting, insights are only valuable in so far as they’re able to inform decision-making and/or influence action. At the end of the day, driving business outcomes is the goal of Marketing Science. Keeping this in mind helps to keep you focused through the first two steps. And it means that once you’ve uncovered a nugget of insight, the real work may just be getting started as you take that insight back to the business.
Marketing Science is a fascinating topic that we’ll be talking about quite a bit more moving forward. We’ve conducted some market research that I think will be very enlightening and have started collecting some use-cases of how we’re applying these principles in a practical sense. In the meantime, if you have any comments or thoughts on developing insights from data, we’d love to hear from you.
I've previously written about our research of leading marketers, both their correlation with improved financial performance and what exactly they do differently than everybody else. We recently sat down with three leaders from our Enterprise Marketing Management team, Yuchun Lee, Elana Anderson, and Jay Henderson, and asked them to discuss our research and the implications of that research in more detail. Check out the video to get their take on why marketing matters, and how you can continue to engage with customers effectively and invest your marketing dollars intelligently.
Leave us a comment here or on YouTube to let us know if you're seeing similar trends in your enterprise.
John Reiners Principal Consultant, IBM Center for Applied Insights
This month is the 10th anniversary of London’s congestion charge. It was not quite the first such scheme (Singapore had been running theirs for almost 10 years) but it was certainly one of the earliest internationally visible Smarter City projects before the term had even been invented. So what can we learn 10 years on from their experience?
Prevailing opinion at the time was that it was an audacious experiment. Most people expected it not to work, & certainly not to be popular. But if it was a success, it would establish London as a pioneering city, with many others in the UK and elsewhere keen to emulate it.
How wrong that opinion was! Congestion charging has been a success with remarkably few technical problems and an acquiescent, if not wildly enthusiastic, public. It had an immediate impact on traffic volumes and congestion and London is a cleaner city as a result. Yet the follow on wave of implementations has not happened. Why not?
I think the reason is in how the benefits from congestion charging are delivered and communicated to the public. The economic case for congestion charging is hard to dispute – it is cheaper to implement than road building programmes and the benefits of reduced congestion, from fewer accidents, increased mobility and fewer emissions are considerable and proven. Yet these benefits are not clearly visible to the public, who only experience the inconvenience of adapting to a new way of paying for their commute. When proposed schemes are put to the public (as they were in Manchester, Edinburgh and West London) the public voted strongly against. It takes a particular brave mayor to risk upsetting public opinion, whatever the ultimate gain to the city as a whole.
So for significant smarter city projects like congestion charging to proceed as more than vanity projects of bold mayors, more work is needed to convince the public of its benefits. There are signs that this may be happening….As technology in related areas like telematics, car to car communications, automated parking systems etc progresses, the creation of a digital city road infrastructure can be seen as an enabler to drive innovation and new business opportunities. Many governments, including the US, UK, Germany, S Korea, Japan and Singapore have identified the potential of investing in traffic management and information services to drive business investment and jobs. There is a race to lead these industries of the future. But to join the race, let alone win it, cities will need first to convince their public that it’s worth it.
Mobile money has progressed by leaps and bounds in the recent years and a lot of innovations are happening globally. The industry is undergoing a lot of changes and ecosystem participants are trying to learn from their successes and failures to innovate further. I have been an avid follower of the various developments happening in the industry. In this post, I will capture my thoughts on key segments of growth/developments which I would expect to happen this year. I believe these segments of growth/developments have the potential to bring further scale and innovation in this industry:
1. Development of ‘App Store’ – I expect that some of the major mobile money service providers may open up their platforms via an Application Programming Interface (APIs) that allows third parties to hook in and innovate. This development has the potential to replicate the success of the ‘Apple Appstore’ by providing an incentivized ecosystem to the developers. They would develop innovative and customized applications for specific markets which would address specific needs and in turn, attract more customers to the service. Thinking further, an ecosystem of these Apps stores from various service providers can provide further scale up and growth opportunities to them.
For example, a Kenyan MPesa customer on his visit to Ghana, can simply download an app to pay parking fees or make some quick purchases in a busy market in Ghana. Implementing platform level and customer level interoperability would be the foundation to build this big ecosystem.
2. Transformation of traditional model of B2B payments – Increasingly, mobile money is finding its application in the Retail industry for Point of Sale (PoS) transactions. Interestingly, I would expect more Business to Business (B2B) mobile money solutions to emerge for various industries. These solutions would focus on transforming the way payments are being made throughout the value chain. The aim would be to reduce risk of carrying cash, optimize liquidity, and provide delivery of goods and payments with security.
For example, Coca-Cola Sabco is looking at the use of mobile money as a way to shift the supply chain of its Manual Distribution Centers away from cash. In Papua New Guinea, IFC is looking at piloting mobile money to reduce the use of cash in the coffee supply chain.
3. Development of new business models – Traditionally a Mobile Network Operator (MNO) or a bank provides the mobile money services either individually or in collaboration. Of late, new business models are emerging as different industries are exploring mobile money based custom applications.
For example, Bharat Sanchar Nigam Limited (BSNL), a leading telecom service provider in India, has a mobile banking platform which will help mobile subscribers to send money orders electronically. The unique thing is that this SMS based service is done in association with India Post. Receiver will be able to encash the SMS at all post offices in the country. Starbucks, a leading coffee chain is already among the most successful early adopters of mobile payments, claiming to have processed USD26 million in mobile transactions in the US just 12 months after launching the service. Recently, it has forged a partnership with Square that will see the mobile payments company power in-store credit and debit card payments for Starbucks.
I expect that more of these innovative and interesting partnerships will emerge which would utilize mobile money to conduct business more efficiently and effectively.
I look forward to your comments and observations. Please click “Add a Comment” below or “More Actions” to share this with others.
Caitlin Halferty Consultant, IBM Center for Applied Insights
Yesterday, on Tuesday February 5, 2013, IBM CEO Ginni Rometty addressed more than 200 South African business leaders in Johannesburg. IBM has been doing business in Africa for more than 90 years. Most recently, the company has been expanding its presence by focusing investments in more than 20 African countries.
Current research suggests the top challenges African-based CIOs face today include:
Availability of skilled resources
Network and bandwith availability
Availability of liquid assets to secure investments in technology
Ensuring return on IT investment
Consistent and effective security policies
Familiarity of users and customers with new technologies
Tie to legacy environment and tools that constrains the ability to adopt new technologies
Implementation of technology standards across countries/regions
Ability to meet regulatory and compliance regulations
Stabilize and enhance IT infrastructure in support of the business
Ability to establish meaningful metrics
Improve risk management posture
Establish effective governance processes
As African-based CIOs rise to meet these challenges, should they look to the West or the East for their mentors?
To further explore how these CIOs strengthen and transform their organizations in light of these challenges, we're assessing competencies and capabilities that span:
Business strategy and process
Risk management and compliance
Innovation and growth
Relationship management and communications
What competencies and capabilities do you see as most promising?
We look to answer these questions and several others for you when we publish our research later this year. Post a comment and contribute your opinion to the conversation!
David Jarvis & Susanne Hupfer IBM Center for Applied Insights
There are four pivotal information technologies that are rapidly reshaping how enterprises operate: mobile technology, business analytics, cloud computing, and social business. All four of these technologies are potentially disruptive, and they also come with unique security concerns. Many people fear the security implications of employees bringing their own mobile devices to work, or storing mission critical databases in public cloud environments. Fear shouldn’t drive organizations away from these potentially transformative technologies. How are organizations overcoming their fears? How are they breaking though the “security wall”?
Recently IBM released the results of its 2012 Tech Trends Report, which looks at the adoption patterns of these four technologies. It is based on a survey of over 1,200 professionals who make technology decisions – the respondents came from 16 industries and 13 countries. As part of the analysis, three different types of organizations were identified:
Pacesetters (20%) believe emerging technologies are critical to their business success and are using them to enable new operating/business models. They’re also adopting ahead of their competition.
Followers (55%) agree that these technologies are important and can provide critical capabilities and differentiation, but they generally trail Pacesetters in adoption.
Dabblers (25%) are generally behind or, at best, on par with competitors in terms of adoption. They’re less strategic in their use of emerging technologies, namely citing greater efficiency or new capabilities in selected areas.
One common thread across all three of the identified groups is that security is a significant area of importance and concern. In fact, 62% of respondents cite security as one of the three most important areas facing their organization over the next two years, with 27% rating it number one. One interesting aspect is that, the less mature an organization is with respect to the four strategic technology areas, the more security rates as an area of importance and focus. Seventy-seven percent of the Dabblers cited security as a top-three area of importance, versus only 49% of the more mature Pacesetters. Why is that? Perhaps the Dabblers don’t fully understand, or trust, that there are security technologies, policies and practices that can ensure a more secure approach overall. Or perhaps they lack the experience the Pacesetters have.
“Security and privacy are not always treated as first-order problems. Things are deployed and made widely available without regard for security and privacy. In a best-case scenario, security and privacy are thought of as add-ons. Worst case, they’re ignored completely.” – Dr. Eugene Spafford, Professor and Executive Director of the Center for Education and Research in Information Assurance and Security, Purdue University
Besides being an area of significant importance, security is also seen as a significant barrier to technology adoption by the survey respondents. Information security is ranked as one of the top two barriers to adoption across the four technology areas – more than integration, inadequate skills or regulation and compliance. Overall, security is the biggest barrier for a majority of respondents for mobile (61%) and cloud (56%) adoption. Security is cited less often as the top adoption barrier in social (47%) and analytics (31%). As shown by the dark blue bars in the graph below, there isn’t a huge gap between the groups (9-11%) when it comes to security concerns, but, in general, less mature Dabblers see security as more of a barrier than the more mature Pacesetters. The exception is analytics, which has the lowest adoption barrier. Perhaps Pacesetters better understand the potential risks in implementing advanced analytic systems.
Another part of the security wall blocking the full realization of the benefits of the four technologies is that organizations’ current IT security policies aren’t sufficient. The figure above generally shows correlations between viewing security as a barrier to adoption (dark blue bars) and inadequate security policies (light blue bars). The Pacesetters are more confident across the board, with a majority saying that their security policies are adequate. The “adequate policies gap” between the Pacesetters and Dabblers ranges from 13% to 32%, a fairly wide margin. This tells us that organizations that have the right security policies in place are more confident, and less likely to see security as a barrier. For the others, there is a gap between their fears and taking the steps needed to address those fears.
Another tool organizations are using to attack the security wall is skills development. A majority of the respondents know that security is an issue and are working hard to boost their confidence. Overall, 70% of organizations are planning to develop or acquire skills in “mobile security and privacy” and “cloud security” – the two technology areas where security is seen as the biggest barrier.
Security is tightly intertwined with the four technology areas discussed. You shouldn’t pursue cloud, mobile, social or analytics endeavors without also focusing on needed security technologies, skills, policies and practices. The more you focus on policies and skills, the less likely you will see security as an impediment. Treat security as a business imperative and make it a priority. Design security in from the start of any project. Doing this will increase confidence and help to tear down the walls that are slowing the adoption of important, transformative technologies.
Susanne Hupfer, Consultant, IBM Center for Applied Insights Our director, Steve Rogers, recently interviewed Paul Brunet, IBM Vice President of ISVs, Start-ups, and Academic Programs, about his perspective on the 2012 Tech Trends study. Whether you're an IT or business decision-maker, an academic, or an IT practitioner, you may discover valuable insights and recommendations in their broad-ranging conversation.
IT and business leaders: Why are CEOs regarding technology and skills as top concerns -- now outranking even market and economic forces? Why is it crucial to leverage emerging technologies for competitive advantage? Paul discusses four technology areas -- mobile, cloud, social business, and business analytics -- and contrasts adoption and skill levels in mature and growth markets. He covers challenges to adoption -- such as security, skill gaps, and integration -- and explains why security is a business imperative. IT and business decision-makers may also be eager to learn more about the elite "pacesetter" group identified by the study, who are unlocking competitive advantage by being more market-driven, experimental, and analytical.
Academics: How can academia better monitor the needs of the enterprise and teach relevant skills their students will need upon graduation? Paul also examines how using sandboxes and collaborative spaces can encourage experimentation, skills development, and collaboration across universities and practitioner areas.
Practitioners: Where should you be expanding your skills? What traits are IT leaders looking for today?
Paul and Steve talk about the importance of integrating business along with IT skills.
David Jarvis Client Insights, Senior Consultant Center for Applied Insights
In 2012 we saw significant data breaches across multiple industries and governments impacting millions of users. Will 2013 bring more of the same? Is this an uncertain future we will have to live with? Can we accept degraded privacy and security and billions of dollars in lost revenue, damage, reduction in brand value and remediation costs?
Last year, a number of major security themes were part of this uncertainty – cloud, mobile, social media, big data, compliance, advanced persistent threats, physical infrastructure security, and the changing nature of information security leadership. None of these issues are going anywhere. In fact, into 2013 and beyond these issues are only going to become more important and will become the concern of more and more enterprise leaders.
All of these disparate issues come together in a new infographic from IBM. It knits together the pressures CEOs are feeling to deliver transformation with limited resources, the changing role of information security leaders, the threat landscape and the best practices to address that landscape. It connects enterprise priorities with information security practices, achieving innovation while dealing with risk.
In 2012, the IBM Center for Applied Insights released a series of security-related pieces that focused on a number of these important issues. We looked at the changing role of the CISO and other security leaders in our 2012 CISO Assessment. We also published a series of best practices for security leaders through our eight article Security Essentials series. In 2013 we will continue to provide insights on information security.
What does IBM think the future of security will look like? IBM security experts and leaders have developed lists of ideas for 2013 and beyond. Highlights include:
Enterprise security organizations will become more independent and work with the audit committee and risk officers more.
Data scientists will increasingly analyze and correlate security data as well as unstructured business data to reduce the risk of breaches.
Threat data will be shared more readily between the government and private sector, and amongst private sector companies.
Organizations will begin monitoring the information shared on social media back channels to detect threats earlier.
Compliance will remain a strong security driver and will be weighed against the rise of a risk-based approach to security.
Because of data, identity and monitoring technologies, cloud security will go from "mystery and hype" to "secure and move-on".
Mobile devices (the device, network and applications) will be significantly more secure – more than laptops are today.
The type of data collected and inspected to detect advanced threats will increase in variety and volume.
Keeping these ideas, trends and emerging issues in mind, information security leaders must rise to the challenge of creating a future that isn’t like today. By using their best practices to connect with and support enterprise-level goals they can create a better, more secure, future.
To download a copy of the infographic below, click HERE.
The study explores how enterprises are responding to the opportunities and risks introduced by new technologies.This year, we surveyed over 1,200 IT and business decision makers to determine why, when, and how their organizations adopt four pivotal emerging technologies – mobile, analytics, cloud and social business technologies – that are rapidly reshaping how enterprises operate.
Are you in the lead, or is your organization falling behind? You can use the adoption and investment statistics we discovered to help you assess where your organizationstands:
Business Analytics and Mobile Computing are already quite mainstream, with over 50% of respondents deploying.Cloud Computing and Social Business represent a coming wave, with 40% either already piloting the technologies, or planning to adopt them within two years.Moreover, planned investment levels in the four technologies over the next two years indicate that all are moving full steam ahead: 55% or more of respondents plan to increase investment in Mobile, Cloud, and Business Analytics, and 43% plan to increase their investment in Social Business. You can click on the following infographic to take a deeper dive:
Despite the foothold of these technologies and the enthusiastic investment landscape, the report cites critical IT skill gaps that threaten to slam on the brakes just as organizations are hoping to leverage these technologies for their strategic advantage:
Across all four technology areas, only roughly 1 in 10 companies report having all the skills they need to be successful, and one-quarter of respondents report major skill gaps.
We also surveyed about 700 educators and students about these technology areas, and according to their responses, the skill gap is poised to get even worse:
About one-half of academic respondents report major gaps in their institution’s ability to meet the needs of the IT workforce.
Security also continues to be a major concern. In fact, Security is rated as the #1 barrier to adoption for mobile, cloud and social business, and the #2 barrier to adoption for business analytics.
What can you learn from those making the most progress applying these technologies for strategic advantage?
We asked respondents to rate the four emerging technologies’ importance to their businesses and also to rate their enterprises’ pace of adoption relative to competitors. We identified an elite group of Pacesetters who are forging ahead faster than others – despite the adoption hurdles – and who are using emerging technologies in more strategic ways.
If you want to get your organization onto the technology fast track (or keep it there), there are a number of interesting lessons you can take from the Pacesetters. We found that Pacesetters are more likely to exhibit three distinguishing traits that help them capitalize on the potential of mobile, analytics, cloud and social technologies. They are:
So, how are Pacesetters managing to stay ahead of the competition? As it turns out, they’re very experimental in their approach to developing IT skills. Rather than wait until there’s clear business demand for new skills, Pacesetters start building skills ahead of time: they are nine times more likely to experiment with technologies that don’t yet have a clear business application, and twice as likely to proactively develop skills to meet anticipated needs.
To learn more about the study results and how you can follow the pacesetters’ lead in technology adoption, you can check out the complete IBM 2012 Tech Trends report and a variety of other resources.
Don't miss the paper's list of concrete recommendations for becoming Pacesetters. We invite you to join in the discussion and let us know what you think about the study and its recommendations!