When it comes to mobile banking, customers' expectations are growing faster than the hair on a Chia Pet. So every year, Forrester reviews and scores the mobile banking offerings from the largest retail banks in the US across seven categories: Range of touchpoints; Enrollment and login; Account information; Transactional functionality; Service features; Cross-channel guidance; and marketing and sales. You can read the complete report here or by clicking on the link below:
Here is a sampling of some of our findings:
Chase and U.S. Bank tie for the top spot. With scores of 69 out of 100, Chase and U.S. Bank received the highest overall scores among the five banks we evaluated. Chase delivers the basics superbly, with a wide range of transactional features for transfers, bill pay, and P2P payments as well as strong cross-channel guidance for customers to contact Chase and find ATMs and branches. By contrast U.S. Bank stands out for more advanced features, including marketing and research for additional products, the ability to take a picture of a paper bill to enroll in bill pay, and the ability to pay another person using the contact list in a mobile phone.
In Canada, mobile banking is growing up faster than Justin Bieber. So from March 21 to April 9, 2014, Forrester reviewed and scored the mobile banking offerings from the five largest retail banks in Canada across seven categories: Range of touchpoints; Enrollment and login; Account information; Transactional functionality; Service features; Cross-channel guidance; and marketing and sales. You can read the complete report here or by clicking on the link below:
Here is a sampling of some of our findings:
CIBC earns the highest overall score with BMO and Scotiabank on its heels. With an overall score of 71 out of 100, CIBC received the highest overall scores among the five retail banks we evaluated, continuing the firm’s leadership in mobile banking since it launched its first iPhone app four years ago. But the other large Canadian banks are hot on CIBC’s trail: BMO and Scotiabank each earned a score of 70 out of 100 with impressive – and recent – overhauls of their mobile offerings. Scotiabank lets users apply for new products via mobile with pre-filled, mobile-optimized applications. BMO, meanwhile, ensures that all mobile money movement task flows are clear and consistent -- incorporating the same progress meter at the top of every screen.
Last month I attended Huawei’s annual Global Analyst Summit, for the requisite several days of mass presentations, executive meetings and tours that typically constitute such an event. Underneath my veneer of blasé cynicism, I was actually quite intrigued, since I really knew very little about Huawei. And what I did know was tainted by popular and persistent negatives – they were the ones who supposedly copied Cisco’s IP to get into the network business, and, until we got better acquainted with our own Federal Government’s little shenanigans, Huawei was the big bad boogie man who was going to spy on us with every piece of network equipment they installed.
Reality was quite a bit different. Ancient disputes about IP aside, I found a $40B technology powerhouse who is probably the least-known and understood company of its size in the world, and one which appears poised to pose major challenges to incumbents in several areas, including mainstream enterprise IT.
So you don’t know Huawei
First, some basics. Huawei’s 2013 revenue was $39.5 Billion, which puts it right up there with some much better-known names such as Lenovo, Oracle, Dell and Cisco.
Big data this, big data that. Hardly a day goes by when we're not bombarded with messages about the big data platforms and technologies that will solve all our marketing problems. Let's be honest though: these tools and technologies alone simply won’t solve the big data challenge. But the effect of all that media and market hype? A lot of confusion and mistrust on the part of marketing leaders about what big data really is, what it can do, and how it should be incorporated into business strategy. And that's holding a lot of firms back from maximizing the power of the data at their disposal.
By now you're asking yourself how anything I've said so far is different or unique. Here it is: "big data" isn't about exabytes or petabytes. It's not about velocity. It's not a project or Hadoop or any other single thing. Big data is a journey that every company must take to close the gap between the data that's available to them, and the business insights they're deriving from that data. This is a definition that business and technology leaders alike can understand and use to better win, serve, and retain customers.
My colleague, Brian Hopkins, and I have just published a pair of reports -- researched and written in parallel -- to help our marketing and technology management clients work together to tackle the opportunities and challenges of big data. Here are a few of the most interesting "a-ha" moments of the research:
Big data is undergoing big change, but most companies are missing it or just grasping at the edges. My colleague Fatemeh Khatibloo and I have just completed an exhaustive study of the big data phenomenon. We found a familiar pattern: business confusion in the face of stern warnings about the dangers of big data and vendor-sponsored papers extolling its benefits. Here’s what we found hidden beneath the buzz:
As data explodes, so do old ways of doing business.
Everywhere we look, we find businesses using more diverse, messier, and larger data sets to stay competitive in the age of the customer — like the consumer goods firm that allocated marketing dollars based on flu trend predictions and the oil and gas companies that used weather data to predict iceberg flows and extend their drilling season. Savvy businesses find ways to turn more data into a competitive advantage. If your firm doesn’t get this, it won’t be pretty — starting in the not too distant future.
Technology managers and architects can’t afford to sit back and think that their Hadoop project will deliver everything the business needs. Nor can you afford to think that big data isn’t for you because you don’t have that much data. Why? Because “big data” is really the practices and technologies that close the gap between the available data and the ability to turn that data into business insight — insight that your firm needs to survive and thrive in the age of the customer. Four things to understand:
Customers crave contextual and personal experiences on their mobile devices. Companies are looking to the reams of location and behavior data spun off mobile device to deliver them. Meanwhile, executives long for the insights lurking just below the surface of the new data they collect on customers and prospects to improve services and chart the best business strategy.
In most companies, mobile engagement, customer analytics, innovation, and business strategy happen in silos and often half-heartedly. But disruptors like Uber, TripIt, Netflix, Flipboard, and Starbucks deliver great and personalized mobile and digital experiences -- and optimize outcomes -- with insights derived from all the data they can gather.
We believe these disrupters deliver great mobile experiences by building what my colleague Brian Hopkins has termed a “system of insight” that goes far beyond traditional analytics or big data approaches to gather, analyze, and operationalize all the data to deliver great mobile moments. These companies are different – they take a systematic approach to linking mobile data to big data analytics technology, staff, and operations. This lets them take advantage of mobile data to improve customer experiences and their business.
Brian and I believe that these firms are building systems of insight by:
Gathering and mining mobile and location data to continually find and harness new customer insights.
Embedding predictive analytics engines into their engagement platforms to deliver contextual and personalized mobile and digital experiences based on each individual’s unique score and context.
Recent survey data from Forrester reveals that external third-party data is rapidly rising in importance to organizations. Such third-party data sets are rising in importance partially because they provide opportunities to take advantage of the explosion in data sources — for example, from data generated by the proliferation of mobile and other sensor-enabled devices. External data provides real value — not just in traditional use cases such as improving market intelligence data, but increasingly in improving customer experiences, such as EA Sports piping real-time weather data into its game venues to create more realistic gaming experiences.
Our recently published report, “Navigating The New Data Market Landscape,” explores how this explosion in data sources has given rise to a new market for data and data services — what will make up the foundation of the emerging data economy. The report aims to arm both technology management as well as business professionals with the knowledge to guide new data strategies, in particular with the possibility to incorporate external data into business intelligence and decision-making.
If you have children or are involved with children, you know that just as soon as you’ve figured out how to engage with that cute little baby in the right way, everything changes. Before you turn around, that baby you knew is starting school, graduating from college, and moving on to a career of her own. And as the baby grows and changes, your approach to engage with her on her terms must change too. If you’ve ever tried to talk to a teenager in the same way that you speak to a 10 year old, you know exactly what I mean.
While we understand and instinctively know how to change our approach as children grow up, we don’t often think of our buyers growing up. But, in the post-digital age, they are growing up and changing frequently. And as marketers, you must adapt and change your approach along with them.
And that’s where my new report, “Rethink Marketing In The Customer’s Context” (subscription required) can help. Expanding on a report published on February 21, 2013, my new report provides a framework for business-to-business (B2B) marketers to recast their approach with the full customer lifecycle in mind.
Start now to update your approach and:
Put the customer at the center of marketing thinking. Today’s market realities demand that B2B CMOs replace internal sales-driven marketing funnels with a full customer-life-cycle approach that aligns with the ways customers now make purchase decisions and build relationships with their vendors.
The ability to sense and execute on change are essential qualities of a digital business in today’s marketplace.
Don’t believe me? Consider this: 70% of the companies that were on the Global 500 list a mere 10 years ago have now vanished – unable to adapt. In those 10 years we’ve seen digital disruption change the business landscape. We’ve watched the Internet become pervasive, embraced cloud-based applications that update multiple times a year, acquired mobile devices that connect everywhere in the neighborhood and around the globe, and embraced information workers who use their own tools to do corporate work on their own time.
We recently surveyed 300 global businesses to dig deeply into how prepared – in the sense of being agile – they are for types of events and business changes that the new digital age will bring. And, our findings were not surprising. High performing organizations are flattening to deal with rapid change. They are using knowledge creation and dissemination to drive decisions lower in the organization, and redefining the role of the CEO. Organizational agility, characterized by high awareness and execution in knowledge dissemination, change management and digital psychology agility dimensions, drives significant performance for enterprises.
My keynote session at our Forum for Technology Management Leaders in London (June 12-13) on the topic will highlight organizations that have made market, organizational, and process changes based on digital strategies to become more agile, more productive, and grow revenues. I hope to see you there.
BI is no longer a nice-to-have back-office application that counts widgets — it is now used as a key competitive differentiator by all leading organizations. For decades, most of the BI business cases were based on intangible benefits, but these days are over — today 41% of professionals, with knowledge of their firm's business case, base their business case on tangible benefits, like an increased margin or profitability. As a result, BI is front and center of most enterprise agendas, with North American data and analytics technology decision-makers who know their firm's technology budget telling Forrester in 2014 that 15% of their technology management budget will go toward BI-related purchases, initiatives, and projects.
But taking advantage of this trend by deploying a single centralized BI platform is easier said than done at most organizations. Legacy platforms, mergers and acquisitions (M&A), BI embedded into enterprise resource planning (ERP) applications, and organizational silos are just a few reasons why no large organization out there has a single enterprise BI platform. Anecdotal evidence shows that most enterprises have three or more enterprise BI platforms and many more shadow IT BI platforms.