Starting A Mobile Banking Project? There's A Checklist For That

Peter Wannemacher

In his excellent book, The Checklist Manifesto, Atul Gawande makes a compelling case for the power of simple checklists to avoid issues and mistakes during the decisioning process. Gawande's thesis is essentially this: A consistently applied, step-by-step checklist can be enormously valuable for a range of professionals from doctors to software designers to executives at major companies.

Add to this group the lowly mobile banking strategist.

So Forrester built a checklist for anyone leading a mobile banking project. I encourage you to download it today. (It also conveniently prints out as a two-page physical checklist for those who still love paper!) Our checklist provides 20 key questions you and your team should ask and answer. These checklist items are divided into five key areas (see image below).

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Where’s Your Next $Bn In Growth Coming From? Your Home Market? I Don’t Think So…

Martin Gill

Depending on the viewpoint of your favorite economist, the recession may be over. But retail growth is far from buoyant in many markets. The UK retail sector shows healthy signs of recovery, while US consumers seem be less confident. There are numerable success stories; John Lewis passed the £1bn online revenue mark this year, while Macys is in its fifth year of double-digit online growth, in spite of a slightly shaky offline performance. But as an eBusiness leader, no matter what your local market conditions, I’m willing to bet one thing.

Your growth targets haven’t gone down.

For many years, growing online revenues has been a core strategy for most B2C firms, and many B2B firms are also riding the eCommerce wave. But as markets become crowded and competition becomes tighter, globalization is an increasingly attractive option for eBusiness professionals. With southern European markets seeing online growth rates in the high teens and even bigger opportunities like Russia and China on the global horizon, it’s no surprise that an international strategy is high on the agenda for many eBusiness leaders.

But going global is complex.

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Some Friendly Advice For Dell Customer Service

Harley Manning

Right before school started last year I bought my son a new Dell laptop, a Windows 8 machine with a touchscreen. He loves it.

Fast forward to a month ago when our family rented a vacation house. My son brought his laptop along so he could play DVDs on it – online gaming was right out because we had purposefully rented a house with no Internet connection so we could unplug from work.

The first time my son tried to log on he found that Windows did not want to accept his password because he was not online. I’m going to skip the lengthy explanation of why this is not supposed to happen, why it happened anyway, all the things we tried to do to fix the problem ourselves, etc. (Maybe they’ll end up in a different post – who knows?)

Suffice it to say that since the laptop was still under warranty, and the problem seemed simple enough, I decide to call Dell. I assumed they’d encountered this situation a million times and could tell me a fix in their sleep. Well, I was wrong. After talking to five different people (could have been four, could have been six, I lost count after a while) I realized that I had made a mistake and hung up on the hold music.

Since I hate to let an interesting customer experience go to waste, though, I’d like to offer some hopefully helpful advice to the Dell customer service people – because, in fact, we do like that machine we bought from them and would love them to be around for our next laptop purchase. With that in mind, here are my top suggestions for the people who tried to help me as well as anyone else who runs a customer service operation.

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Digitize Your Business Today Or Prepare To Become Obsolete

Clement Teo

In a previous blog entry, I argued that everyone needs to digitize their business, but not every business knows what to do. Transforming into a digital businesses, especially if you’re a traditional enterprise, is hard work. However, we believe that Asia Pacific is already primed for digital disruption.

In my report, The State Of Digital Business In Asia Pacific In 2014, we found that, while the highest-profile digital business pioneers are headquartered in North America, market demand in Asia Pacific is more conducive to long-term digital disruption. Asia Pacific has five times as many Internet users and smartphone subscribers as the US and almost as much online retail spending as the US and Europe combined. You just need to look at regional powerhouses like Alibaba.com and Commonwealth Bank of Australia and their multibillion-dollar businesses to grasp the rewards of digital business success in Asia Pacific.

However, knowing what these firms have accomplished is insufficient; knowing how to get there is more critical. You should:

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Ease Your Selection Of Customer Analytics Providers In China

Gene Cao

Forrester surveys in China show that business data and analytics are increasing as the No. 1 technology priority for Chinese businesses; 55% of technology decision-makers in the country plan to use data and analytics to improve business decisions and outcomes in 2014, up from 43% in 2013. Chinese digital marketers are looking for powerful tools to better understand customer behavior, especially regarding customer acquisition. Businesses in industries like banking and financial services, telecommunications, and retail understand that data and analytics are critical for enabling business transformation — but they have struggled with a lack of data and analytics tools in the market.

The supply side of the Chinese customer analytics market is fragmented and includes a confusing mix of global and local providers. Most customer analytics solution providers started doing business in China in the early 2000s, when the country became much more open to foreign capital. Companies like Procter & Gamble and Coca-Cola introduced new marketing concepts and became the first to use customer analytics solutions in China. To serve these global companies, leading analytics vendors like FICO, IBM, Oracle, and SAS successfully built up their analytics businesses and extended them into local Chinese markets. Increasing demand for analytics also compelled local vendors like Alibaba and Baidu to start providing customer analytics solutions in China. My latest report, “The Customer Analytics Market in China,” profiles these customer analytics providers in four categories to ease your decision-making on vendor selection.

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Wearables Shouldn’t Be An Exercise In Screen Miniaturization

JP Gownder

Too many wearables today have screens that look like miniaturized smartphones.

Just as smartphones shouldn’t be PC screens shrunk down to a 4-5” screen, smartwatches shouldn’t look like smartphones shrunk to 1”. Nor is it a matter of responsive web design (RWD), which resizes web content to fit the screen.

Samsung's Gear 2 looks like a tiny smartphone screen.

Instead, it’s a different type of design philosophy – one with DNA in the mobile revolution, and then extending mobile thinking even further.

Let’s start with the concept of mobile moments. As my colleagues write in The Mobile Mind Shift, mobile moments are those points in time and space when someone pulls out a mobile device to get what he or she wants immediately, in context. In the case of wearables, the wearer often won’t need to pull out a device – it’s affixed to her wrist, clothing, or eyeglasses. But she might need to lift her wrist, as a visitor to Disney World must do with MagicBand.

Now we’re getting closer to what wearables should be. But there are additional dimensions to wearables that obviate the need for pixel-dense screens:

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My Three Assumptions For Why The Next Generation Of SW Innovation Will Be Cognitive!

Diego Lo Giudice

I am just back from the first ever Cognitive Computing Forum organized by DATAVERSITY in San Jose, California. I am not new to artificial intelligence (AI), and was a software developer in the early days of AI when I was just out of university. Back then, if you worked in AI, you would be called a SW Knowledge Engineer, and you would use symbolic programming (LISP) and first order logic programming (Prolog) or predicate calculus (MRS) to develop “intelligent” programs. Lot’s of research was done on knowledge representation and tools to support knowledge based engineers in developing applications that by nature required heuristic problem solving. Heuristics are necessary when problems are undefined, non-linear and complex. Deciding which financial product you should buy based on your risk tolerance, amount you are willing to invest, and personal objectives is a typical problem we used to solve with AI.

Fast forward 25 years, and AI is back, has a new name, it is now called cognitive computing. An old friend of mine, who’s never left the field, says, “AI has never really gone away, but has undergone some major fundamental changes.” Perhaps it never really went away from labs, research and very nich business areas. The change, however, is heavily about the context: hardware and software scale related constraints are gone, and there’s tons of data/knowledge digitally available (ironically AI missed big data 25 years ago!). But this is not what I want to focus on.

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The Good The Bad And The Ugly Of Enterprise BI

Boris Evelson
Unified information architecture, data governance, and standard enterprise BI platforms are all but a journey via a long and winding road. Even if one deploys the "latest and greatest" BI tools and best practices, the organization may not be getting any closer to the light at the end of the tunnel because:
  • Technology-driven enterprise BI is scalable but not agile. For the last decade, top down data governance, centralization of BI support on standardized infrastructure, scalability, robustness, support for mission critical applications, minimizing operational risk, and drive toward absolute single version of the truth — the good of enterprise BI — were the strategies that allowed organizations to reap multiple business benefits. However, today's business outlook is much different and one cannot pretend to put new wine into old wine skins. If these were the only best practices, why is it that Forrester research constantly finds that homegrown or shadow BI applications by far outstrip applications created on enterprise BI platforms? Our research often uncovers that — here's where the bad part comes in — enterprise BI environments are complex, inflexible, and slow to react and, therefore, are largely ineffective in the age of the customer. More specifically, our clients cite that the their enterprise BI applications do not have all of the data they need, do not have the right data models to support all of the latest use cases, take too long, and are too complex to use. These are just some of the reasons Forrester's latest survey indicated that approximately 63% of business decision-makers are using an equal amount or more of homegrown versus enterprise BI applications. And an astonishingly miniscule 2% of business decision-makers reported using solely enterprise BI applications.
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Creating A Software Engineering Group Becomes Key to Closing The Experience Gaps

John McCarthy

In our recent report Closing The Experience Gaps, Ted Schadler and I talked about two key elements to meeting customers rising expectations: 1) creating an architecture for cross-channel experience delivery and 2) developing a philosophy and culture of business agility. Given it builds on many of the concepts that we outlined in the Software Must Enhance Your Brand, I wanted to highlight the key elements of the second element -- developing a philosophy and culture of business agility. 

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Expect 3.5 Billion Global Smartphone Subscribers By 2019

In 2012, the number of smartphone subscribers worldwide passed the 1 billion mark, primarily due to adoption in North America and Europe. But the focus of the smartphone market is now shifting toward Asia Pacific, the Middle East and Africa (MEA), and Latin America. These three regions, which are home to 84% of the world’s population, will contribute a significant proportion of the next 2.5 billion subscribers, which Forrester believes will happen by 2019. According to our recently published Forrester Research World Mobile and Smartphone Adoption Forecast, 2014 to 2019 (Global), Asia Pacific is the fastest-growing region in terms of subscribers with a CAGR of 14%, followed by MEA, and Latin America. Some of the findings from the forecast:

  • Low-cost smartphones are turning feature phone subscribers into smartphone subscribers. Chinese companies such as iocean, JiaYu, Meizu, Xiaomi, and Zopo and Indian players like Karbon and Micromax are flooding the market with sub-$200 Android-based smartphones. Declining smartphone prices and shrinking feature phone product lines have contributed to a steep rise in smartphone subscriptions: More than 46% of mobile subscribers owned a smartphone in 2013, compared with 9% in 2009. By 2019, we expect that 85% of all mobile subscribers will have smartphones.
  • The focus is shifting to India. India is the fastest-growing market for smartphones; as such, it’s attracting most of the focus from vendors. Gionee, Huawei, Konka, Lenovo, Xiaomi, and ZTE have recently entered the market, and Google launched its Android One program in partnership with Indian companies to provide sub-$100 Android phones.
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