Tag Archives: Peter Williams

Has Apple made NFC irrelevant?

In The future of exchanging value{{1}} I, along with Peter Williams and Ian Harper at Deloitte, pointed out that a successful retail payments strategy should be founded on empowering consumers and merchants to transact when and where they want to. Investing in technologies such as near-field communication (NFC) networks might allow you to shave a couple of seconds off the transaction time once customer was at the till, but it ignores the fact that consumers are increasingly transacting away from the till as mobile phones and ubiquitous connectivity allow them to transact when and where they want to.

[[1]]Peter Evans-Greenwood, Ian Harper, Peter Williams (2012), The future of exchanging value, Deloitte[[1]]

We are seeing a shift from technology acquisition to technology use. Rather than building a payment strategy around the acquisition of a new technology (such as NFC), a successful strategy needs to be based on streamlining the buying journey. While NFC might enable the consumer to save a few seconds at the till, it does not address the far larger time they spent waiting in the queue beforehand. A more valuable solution might avoid the need to queue entirely. This is a design-led approach, focused on the overall problem the customer is solving and the context in which they are solving. Technologies are pulled into the payment strategy as needed, rather than building the strategy around the acquisition of an asset or capability.

Amazon used this approach with the development of the company’s mobile application, one that allows you snap an image of a barcode to purchase a product. Bricks-and-morter retailers see this as showrooming and unsportsmanlike. Many consumers, however, love the idea.

As I pointed out in The destruction of traditional retail{{2}}:

[[2]]The destruction of traditional retail @ PEG[[2]]

If you’re standing in an aisle casually browsing products then Amazon’s till is closer to you than the one at the front of the store[4]. You also don’t need to worry about carrying your purchase home.

The challenge for retailers (from The future of exchanging value) is to:

… manage a portfolio of technologies, from existing payment infrastructure through NFC to emerging tools, combining them to enable customers to transact when and how they need to.

The way for bricks-and-morter retailers to fight showrooming is use a range of low-cost consumer technologies to make it more convenient to transact with them than an internet retailer.

Apple showed how this might be done during the What’s New in Core Location presentation at the company’s recent Worldwide Developers Conference.

Imagine you walk into Jay’s Donut Shop. iBeacons from Core Location are accurate enough for the retailer to be sure that you have walked in, while other location technologies (such as GPS or those based on Wi-Fi) could, at best, provide a list of guesses. You don’t even need to check in. You could order you donuts before you entered the shop. When you reach the counter your iPhone would display a QR code that a clerk uses to verify the purchase. You grab your donuts and leave, the transaction charged to your iTunes account and your receipt already on your phone.

As Mike Elgan points out in his post Why Apple’s ‘indoor GPS’ plan is brilliant{{3}}, it’s not much of stretch to consider some much more interesting scenarios.

[[3]]Mike Elgan (14th September 2013), Why Apple’s ‘indoor GPS’ plan is brilliant, Computer World.[[3]]

A customer could scan the labels on clothing, process the transaction on the phone, then stroll out of the store with purchases in hand (the alarm would be de-activated for those items).

This is a solution that could be supported tomorrow on all iPhone 4Ss through to the new iPhone 5C. The hardware required to create an iBeacon is already available and it’s cheap, often in the 10s of US$.

NFC continues to struggle and it seems that Apple might have pulled together a solution that makes it irrelevent.

Taxonomies 1, Semantic Web (and Linked Data) 0

I’m not a big fan of Semantic Web{{1}}. For something that has been around for just over ten years — and which has been aggressively promoted by the likes of Tim Berners-Lee{{2}} — very little real has come of it.

Taxonomies, on the other hand, are going gangbusters, with solutions like GovDirect{{3}} showing that there is a real need for this sort of data-relationship driven approach{{4}}. Given this need, if the flexibility provided by Semantic Web (and more recently, Linked Data{{5}}) was really needed, then we would have expected someone to have invested in building significant solutions which use the technology.

While the technology behind Semantic Web and Linked Data is interesting, it seems that most people don’t think it’s worth the effort.

All this makes me think: the future of data management and standardisation is ad hoc, with communities or vendors scratching specific itches, rather than formal, top-down, theory driven approaches such as Semantic Web and Linked Data, or even other formal standardisation efforts of old.

[[2]]Tim Berners-Lee on Twitter[[2]]
[[4]]Peter Williams on the The Power of Taxonomies @ the Australian Government’s Standard Business Reporting Initiative[[4]]

The technologies behind the likes of Semantic Web and Linked Data have a long heritage. You can trace them back to at least the seventies when ontology and logic driven approaches to data management faced off against relational methodologies. Relational methods won that round — just ask Oracle or the nearest DBA.

That said, there has been a small number of interesting solutions built in the intervening years. I was involved in a few in one of my past lives{{6}}, and I’ve heard of more than a few built by colleagues and friends. The majority of these solutions used ontology management as a way to streamline service configuration, and therefor ease the pain of business change. Rather than being forced to rebuild a bunch of services, you could change some definitions, and off you go.


What we haven’t seen is a well placed Semantic Web SPARQL{{7}} query which makes all the difference. I’m still waiting for that travel website where I can ask for a holiday, somewhere warm, within my budget, and without too many tourists who use beach towels to reserve lounge chairs at six in the morning; and get a sensible result.

[[7]]SPARQL @ w3.org[[7]]

The flexibility which we could justify in the service delivery solutions just doesn’t appear to be justifiable in the data-driven solution. A colleague showed my a Semantic Web solution that consumed a million or so pounds worth of tax payer money to build a semantic-driven database for a small art collection. All this sophisticated technology would allow the user to ask all sorts of sophisticated questions, if they could navigate the (necessarily) complicated user interface, or if they could construct an even more daunting SPARQL query. A more pragmatic approach would have built a conventional web application — one which would easily satisfy 95% of users — for a fraction of the cost.

When you come down to it, the sort of power and flexibility provided by Semantic Web and Linked Data could only be used by a tiny fraction of the user population. For most people, something which gets them most of the way (with a little bit of trial and error) is good enough. Fire and forget. While the snazzy solution with the sophisticated technology might demo well (making it good TED{{8}} fodder), it’s not going to improve the day-to-day travail for most of the population.


Then we get solutions like GovDirect. As the website puts it:

GovDirect® facilitates reporting to government agencies such as the Australian Tax Office via a single, secure online channel enabling you to reduce the complexity and cost of meeting your reporting obligations to government.

which make it, essentially, a Semantic Web solution. Except its not, as GovDirect is built on XBRL{{9}} with a cobbled together taxonomy.

[[9]]eXtensible Business Reporting Language[[9]]

Taxonomy driven solutions, such as GovDirect might not offer the power and sophistication of a Semantic Web driven solution, but they do get the job done. These taxonomies are also more likely to be ad hoc — codifying a vendor’s solution, or accreted whilst on the job — than the result of some formal, top down ontology{{10}} development methodology (such as those buried in the Semantic Web and Linked Data).

[[10]]Ontology defined in Wikipedia[[10]]

Take Salesforce.com{{11}} as an example. If we were to develop a taxonomy to exchange CRM data, then the most likely source will be other venders reverse engineering{{12}} whatever Salesforce.com is doing. The driver, after all, is to enable clients to get their data out of Salesforce.com. Or the source might be whatever a government working group publishes, given a government’s dominant role in its geography. By extension we can also see the end of the formal standardisation efforts of old, as they devolve into the sort of information frameworks represented by XBRL, which accrete attributes as needed.

[[12]]Reverse engineering defined in Wikipedia[[12]]

The general trend we’re seeing is a move away from top-down, tightly defined and structured definitions of data interchange formats, as they’re replaced by bottom-up, looser definitions.