Huawei Technologies started out nearly 30 years ago as a small private company with 14 employees and 140,000 yuan in capital. By 2015, its total revenue exceeded $60 billion. Huawei is already a global company, but its globalization journey has been a difficult one since the very beginning. Despite its continuous business growth in other regions, Huawei has faced critical censorship in the US since Day One — and last week the US government put Huawei under the microscope yet again.
National security is important, but using “national security” as an excuse for allowing unfair competition will only harm customers. It’s time for the governments of both countries to trust each other more. I’ve recently published a report focusing on Huawei’s continuous progress toward becoming a key enabler of digital transformation in the telco and enterprise spaces. Some of the key takeaways:
Huawei has holistic strategies for digital transformation. Huawei’s broad vision of digital strategy — which focuses on cloud enablement and readiness, partner enablement, and open source co-creation — has helped the firm sustain strong business growth in the telco and enterprise markets. For example, its partnerships with T-Systems on the Open Telekom Cloud in Germany and with Telefónica on public cloud in the Americas have helped carriers in local markets give cloud users on-demand, all-online, self-service experiences.
On October 31, IBM and Tencent announced that they will work together to extend Tencent’s public cloud platform to the enterprise by building and marketing an industry-oriented public cloud.
Don’t be fooled into looking at this move in isolation. With this partnership, IBM is turning to a new page of its transformation in China, responding to the challenges of a stricter regulatory environment, an increasingly consumerized technology landscape, and newly empowered customers. The move is a crucial milestone in IBM’s strategy to localize its vision for cloud, analytics, mobile, and social (CAMS). IBM has had a strategic focus on CAMS solutions and is systematically building an ecosystem on four pillars:
Cloud and social. This is where IBM and Tencent are a perfect match. IBM’s cloud managed service, operated by its partner 21ViaNet, officially went live on September 23. It can support mission-critical applications like ERP and CRM solutions from SAP and Oracle from both the IaaS and SaaS perspective. This could help Tencent target large enterprise customers beyond its traditional base of small and medium-size businesses (SMBs) and startups by adding social value to ERP, CRM, and EAM applications.
I have never put ‘Wow’ into the title of a blog before – but for this one it’s fully justified.
This is the fifth year InfoWorld, Penn State University Center for EA, and Forrester have run the annual Enterprise Architecture Awards. When I compare the winners of five years ago – all excellent EA programs, with this year’s winners and the runner-ups, all I can say is ‘Wow – EA is really advancing’.
I am pleased to announce the winners of the 2014 Enterprise Architecture Awards. This year, we have six winning programs – all of which demonstrate leading edge thinking on how they engage with their business, how they provide value, and how they help their business achieve its strategic goals. Here are the winners, selected by a panel of leading EA practitioners drawn previous years’ winners and other excellent programs. (For a more extensive write-up, see the InfoWorld report)
Driving Innovation with Enterprise Architecture
The best way to succeed in Property and Casualty insurance in the US market is to create innovative products and services for unique customer segments, each with a customized customer value proposition. This is the need that Doug Safford, Vice President and Chief Architect pivoted his EA program towards.
Five of the top 10 companies in the latest Forbes Global 2000 company list (published in May) are from China, and four of them are commercial banks. If you think this is only due to China’s massive consumer base, and that you can easily apply your global innovation strategy to the Chinese market, you’re almost certainly wrong. Enterprise architecture (EA) professionals at companies doing business in China should take a look at what the country’s banking and financial services industry (BFSI) is doing to enable customer-centric innovation.
I recently published two reports focusing on China’s BFSI. In these reports, I analyzed the Chinese banking landscape and the business challenges banks face, described a systematic approach to innovation that EA pros should consider when planning their transformations, and shed light on how they use both mainstream and emerging technologies to unleash the power of innovation around products, operations, and the organization. Some of the key takeaways:
Chinese banks suffer from their own customer experience issues. As a longtime monopoly, China’s BFSI has suffered from inefficiency, quality problems, and an uncompetitive ROI — and thus can no longer meet the high bar for customer satisfaction in the age of the customer. EA pros must find innovative ways to resolve these issues.
Internet companies and regulatory changes are challenging BFSI players. Visionary Internet companies like Alibaba and Tencent have launched financial services products, including innovative products like Yuebao, that are disrupting China’s BFSI with higher profits, lower barriers to entry, and better flexibility. The government is also making regulatory changes that will open up the market and intensify competition.
No self-respecting EA professional would enter into planning discussions with business or tech management execs without a solid grasp of the technologies available to the enterprise, right? But what about the data available to the enterprise? Given the shift towards data-driven decision-making and the clear advantages from advanced analytics capabilities, architecture professionals should be coming to the planning table with not only an understanding of enterprise data, but a working knowledge of the available third-party data that could have significant impact on your approach to customer engagement or your B2B partner strategy.
Data discussions can't be simply about internal information flow, master data, and business glossaries any more. Enterprise architects, business architects, and information architects working with business execs on tech-enabled strategies need to bring third-party data know-how to their brainstorming and planning discussions. As the data economy is still in its relatively early stages and, more to the point, as organizational responsibilities for sourcing, managing, and governing third-party data are still in their formative states, it behooves architects to take the lead in understanding the data economy in some detail. By doing so, architects can help their organizations find innovative approaches to data and analytics that have direct business impact by improving the customer experience, making your partner ecosystem more effective, or finding new revenue from data-driven products.
The classic work of Chinese historical fiction “Romance Of Three Kingdoms” describes the history of China after the Han dynasty. This work focuses on three power blocks that fought against each other in an attempt to be the dominant kingdom. After my discussions with many users and vendors at the OpenStack Summit 2013, I see an analogy between these three kingdoms and the evolution of the IaaS market in China as I described it in my report “PaaS Market Dynamics In China, 2012 To 2017” early this year.
Three categories of players are emerging in public cloud market in China, and similar to the Three Kingdoms, these players will fight against each other and collaborate at the same time, accelerating both the adoption and the maturing of cloud solutions in Chinese market.
State of Shu: Amazon Web Services. The king of Shu was the descendant of Han dynasty before the era of the Three Kingdoms; because of his “royal blood,” he had many supporters and followers to fight against the other two kingdoms.
Amazon.com is in a similar situation: It has very good reputation among architects and developers in China. However, Amazon’s promotion activities are lagging. Amazon is trying to expand its cloud territory into Chinese market by building a data center in Beijing and recruiting local personnel. However, its relationship with the government is not as good as Microsoft’s, and Amazon’s ambition to launch AWS in China has been slowed down due to local regulations.
State of Wu: Microsoft Windows Azure and its alliances. The state of Wu is competitive because it has the natural advantage of the Yangtze River, helping it defend against invasion and expand its territory.
For the past ten years, the major IT initiative within Chinese organizations has been service oriented and/or process driven architecture. The pace of change has been slow for two reasons: 1) From an end user perspective, related business requirements are not clear or of high priority; 2) more importantly, solutions providers have not been ready to embrace technology innovation and meet emerging technology requirements through new business models.
Times are changing. IBM and other major ISV/SI in China (as well as end users) are driving momentum around emerging technology, such as cloud and enterprise mobility. I recently attended the IBM Technical Summit 2013 in Beijing from July 11 to 12. Here’s what I learned:
Telecom carriers supported by technology vendors will accelerate cloud adoption by SME. Contributing to more than 60% of total GDP in China, small and medium enterprises (SMEs) have always sought to simplify their IT operation as much as possible, and at the same time scale it up when business expands as quickly as possible. IaaS solutions appear to be a perfect match for SMEs; however IT professionals have concerns about the security and data privacy over the operations by other companies.
In the days when web applications were king, this type of insight was doable with simple web analytics and similar tools. Today, continual experience optimization is much more difficult because of:
Multiple interaction channels. You must collect, correlate, and analyze data in a coherent way across multiple channels of customer interaction. A single customer interaction may cross between channels or even use more than one channel at the same time.
Many back end servers. You must integrate data from multiple back end servers including recommendation engines, commerce, mobile application servers, digital asset management, community, collaboration, messaging, and more.
The need for rapid change. You must quickly change any or all of your digital experiences and back end services based on what you’ve learned.
The need for contextual experiences. You must use each individual customer’s context to dynamically adjust experiences in real-time.
My Forrester colleagues Ted Schadler and John McCarthy have written about the differences between Systems of Reference (SoR) and Systems of Engagement (SoE) in the customer-facing systems and mobility, but after further conversations with some very smart people at IBM, I think there are also important reasons for infrastructure architects to understand this dichotomy. Scalable and flexible systems of engagement, engagement, built with the latest in dynamic web technology and the back-end systems of record, highly stateful usually transactional systems designed to keep track of the “true” state of corporate assets are very different animals from an infrastructure standpoint in two fundamental areas:
Suitability to cloud (private or public) deployment – SoE environments, by their nature, are generally constructed using horizontally scalable technologies, generally based on some level of standards including web standards, Linux or Windows OS, and some scalalable middleware that hides the messy details of horizontally scaling a complex application. In addition, the workloads are generally highly parallel, with each individual interaction being of low value. This characteristic leads to very different demands on the necessity for consistency and resiliency.
A recent survey of Enterprise Architects showed a lack of standards for data management.* Best practices has always been about the creation of standards for IT, which would lead us to think that lack of standards for data management is a gap.
Not so fast.
Standards can help control cost. Standards can help reduce complexity. But, in an age when a data management architecture needs to flex and meet the business need for agility, standards are a barrier. The emphasis on standards is what keeps IT in a mode of constant foundation building, playing the role of deli counter, and focused on cost management.
In contrast, when companies throw off the straight jacket of data management standards the are no longer challenged by the foundation. These organizations are challenged by ceilings. Top performing organizations, those that have had annual growth above 15%, are working to keep the dam open and letting more data in and managing more variety. They are pushing the envelope on the technology that is available.
Think about this. Overall, organizations have made similar data management technology purchases. What has separated top performers from the rest of organizations is by not being constrained. Top performers maximize and master the technology they invest in. They are now better positioned to do more, expand their architecture, and ultimately grow data value. For big data, they have or are getting ready to step out of the sandbox. Other organizations have not seen enough value to invest more. They are in the sand trap.
Standards can help structure decisions and strategy, but they should never be barriers to innovation.
*203 Enterprise Architecture Professionals, State of Enterprise Architecture Global Survey Month,2012
**Top performer organization analysis based on data from Forrsights Strategy Spotlight BI And Big Data, Q4 2012