We’ve been telling you that you need to transition from strictly managing an IT Agenda to owning a BT Agenda, too. 2016 is the year that needs to happen: your CEO will be looking for you to drive digital in your company — and increasingly digital is becoming your business.
Winners in the age of the customer will embed digital into all parts of the business, harmonize virtual and in-store experiences, and be able to rapidly shift to meet the hyperadoption/hyperabandonment behavior of customers.
The scary news? Only a quarter of businesses have a coherent digital strategy to create customer value as a digital business. The onus is on you to deliver that strategy. As CIO, you need to offer a holistic view on the digital transformation that encompasses not just how your firm can harness emerging technology to create customer value, but how your team can help drive synergies across the customer experience ecosystem. We believe the only way to achieve this is a customer-obsessed operating model that will permeate throughout your business and focus on six elements: structure, talent, culture, metrics, processes, and technology.
Here are three things you can do in 2016 to win at driving digital:
By breaking the marketing technology landscape into two basic categories -- systems of insight and systems of engagement -- the report both organizes an increasingly complex technology landscape and gives concrete examples of the types of solutions available to marketers today.
We’ve all seen comprehensive diagrams featuring hundreds of vendor logos across multiple marketing technology categories. So, when tasked with mapping the technologies required to deliver contextual marketing, I decided to simplify things. For more details, see my new report “Combine Systems Of Insight And Engagement For Contextual Marketing.”
Forrester has defined broad “systems of X” categories that include systems of record, design, operation/automation, insight, and engagement. The latter two lend themselves to the enterprise marketing technology landscape.
Real-time analytics and insights drive the contextual marketing engine (below), and these tools fit squarely into the systems of insight category. Customer data bases and big data repositories fuel the engine, and as customer behavior refreshes them frequently, they, too, are systems of insight (as opposed to more static systems of record).
I was in Tokyo last week, for the latest OpenStack Summit. Over 5,000 people joined me from around the world, to discuss this open source cloud project's latest - Liberty - release, to lay the groundwork for next year's Mitaka release, and to highlight stories of successful adoption.
Tokyo's Hamarikyu Gardens combine old with new (Source: Paul Miller)
And, unlike many events, this wasn't a hermetically sealed bubble of blandly anodyne mid-Atlantic content, served up to the same globe-trotting audience in characterless rooms that could so easily have been in London, Frankfurt, or Chicago. Instead, we heard from local implementers of OpenStack like Fujitsu, Yahoo! Japan, and - from just across the water - SK Telecom and Huawei.
In keynotes, case studies, and deep-dive technical sessions, attendees learned what worked, debated where to go next, and considered the project's complicated relationship to containers, software-defined networks, the giants of the public cloud, and more.
Mobile banking is gaining momentum all over the world, and China is no exception. In August 2015, for the first time, Forrester evaluated the mobile banking offerings of five of China’s largest retail banks plus Alipay; we’ve just published the results in our 2015 China Mobile Banking Functionality Benchmark report.
To help mobile banking teams benchmark their mobile banking capabilities, identify critical mobile features, and plan for the future, we used our Mobile Banking Functionality Benchmark methodology to evaluate the mobile banking services of six of the largest retail banks in China, including five traditional banks — Agricultural Bank of China (ABC), Bank of China (BOC), China Construction Bank (CCB), China Merchants Bank (CMB), and Industrial and Commercial Bank of China (ICBC) — and one nontraditional bank: Alipay.
The Chinese mobile banking services we reviewed achieved an average score of 55 out of 100; while this is slightly better than banks in Singapore and the UK, many Chinese banks still lag behind their peers in Australia, Europe, and North America. The headlines:
Alipay outperforms the five traditional banks. Alipay started as a third-party online payment platform but now fulfills the same functions as a bank. The only nontraditional bank in our review, Alipay not only earned the best overall score of 67, but also scored highest in four of the seven categories in our benchmark: account and money management, transactional features, service features, and marketing and sales. Alipay excels with many mobile features that none of the major traditional banks currently provide. For example, it allows customers to easily find a past transaction using sorting, filtering, and natural language keyword search.
You can't bring up semantics without someone inserting an apology for the geekiness of the discussion. If you're a data person like me, geek away! But for everyone else, it's a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.
It begins with a seemingly innocent set of questions:
"Is there a better way to master my data?"
"Is there a better way to understand the data I have?"
"Is there a better way to bring data and content together?"
"Is there a better way to personalize data and insight to be relevant?"
Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They're born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester's Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.
At Forrester's Digital Business Forum in Chicago today, we announced the launch of our brand new Digital Store Playbook. This playbook provides a structured framework to guide eBusiness professionals through digital store transformation – from creating a digital transformation vision to developing a digital store business case.
As part of a much broader and highly digitally-influenced customer shopping journey, brick and mortar shopping is increasingly becoming a digitally enhanced experience. Retail stores that use digital technology to drive convenience, service and relevant personalized experiences for customers will succeed, while those who fail to make smart investments in technology that enhances the in-store experience risk losing market share to more customer-centric competitors. As such, it is imperative that retail eBusiness executives have the appropriate tools, knowledge, and cross-role alignment to operate a digital store platform that not only unlocks new sources of value for customers but also increases operational agility in service of customers. We crafted this playbook to address key elements of digital store success. The Digital Store Playbook will help you:
Discoverthe far-reaching impact of store digitization. Forrester’s Digital Store Playbook introduces the value of using digital technology to enhance the in-store experience for customers and associates alike. Along with outlining the benefits, we discuss the costs associated with digital store transformation.
Deliver exceptional digital experiences. It sounds easy enough, but to win in the age of the customer, businesses must realize that there is much at stake if they do not focus efforts on providing customers with a solid customer experience. Forrester even argues that, in the coming years, it’s the customer obsessed digital leaders who will push far ahead of their competition. But how can they get there?
To help digital leaders exceed the expectations of their empowered customers, Forrester has designed this week’s Digital Business Forum around how to build a strategy that works — now and in the future. Liza Landsman, executive vice president and chief customer officer of Jet.com will be on stage alongside Forrester analysts Stephen Powers, Adam Silverman and Alyson Clarke to share her experience in digital business transformation.
At Jet.com, Liza is responsible for producing a compelling end-to-end customer experience with the tools and technologies that drive growth. I’m happy to share the below Q&A session with Liza — I caught up with her in advance of her keynote, and she was kind enough to chat about digital strategy and customer behaviors, and the ways that Jet.com handles its competition.
Industry-renowned data visualization expert Edward Tufte once said: "The world is complex, dynamic, multidimensional; the paper is static, flat. How are we to represent the rich visual world of experience and measurement on mere flatland?" He's right: There's too much information out there for knowledge workers to effectively analyze — be they hands-on analysts, data scientists, or senior execs. More often than not, traditional tabular reports fail to paint the whole picture or, even worse, lead you to the wrong conclusion. AD&D pros should be aware that data visualization can help for a variety of reasons:
Visual information is more powerful than any other type of sensory input. Dr. John Medina asserts that vision trumps all other senses when it comes to processing information; we are incredible at remembering pictures. Pictures are also more efficient than text alone because our brain considers each word to be a very small picture and thus takes more time to process text. When we hear a piece of information, we remember 10% of it three days later; if we add a picture, we remember 65% of it. There are multiple explanations for these phenomena, including the fact that 80% to 90% of information received by the brain comes through the eyes, and about half of your brain function is dedicated directly or indirectly to processing vision.
We can't see patterns in numbers alone . . . Simply seeing numbers on a grid doesn't always give us the whole story — and it can even lead us to draw the wrong conclusion. Anscombe's quartet demonstrates this effectively; four groups of seemingly similar x/y coordinates reveal very different patterns when represented in a graph.