Nov
18
The Digital Event Revolution
Filed Under B2B, Big Data, Blog, data analytics, data protection, Industry Analysis, internet, mobile content, online advertising, Search, social media, Uncategorized, Workflow | 2 Comments
Nothing has higher value in the world of B2B than events. Markets and valuations all reflect this. In a world of digital transformation events have a comforting certainty along with high margins. Attendance at some shows may have fallen during the recession, as well as exhibitors, but this is an industry well used to the economic cycle and generally unconcerned by temporary shifts which always seem to right themselves. I was present this week in Seoul at the 80th Congress of the UFI, the Paris-based trade association which represents both conference and exhibition organizers, and venue owners and managers. I found it hard to work out what was strangest: re-visiting one of the largest cities in the world after an absence of over 30 years, or speaking of things digital to a wonderful audience (at an appropriately well managed conference) who either thought that what I feared would never happen, or that, since people would always want to meet face to face, it was mostly irrelevant.
Which is exactly where the interesting arguments begin. It appears that for many in this industry the challenges are elsewhere. How can the event be made more compelling? Do we do it IKEA-style and force everyone to march past every booth? Will China’s vast plans for another great conference and exhibition centre in Shanghai de-stabilize the world market and drive down floor prices in Hanover and Frankfurt, traditional heartlands of the Great Trade Shows? Will the US cease to be self-contained as a market and compete on the global stage? How can more value be added for the user (one speaker talked of concentrating on attendees after two decades of concentrating on exhibitors)? Yet in all this discussion it was hard to keep on reminding people that a Great Event – a CeBIT, a Frankfurt Book Fair, a CES, etc – is above all a mighty data engine. I came away thinking not how impregnable these market tenancies are, but how easy it would be to compete with them. And they reminded me strongly of the newspapers and magazines of yesteryear when they dwelt on the importance of their brands and the trust and authority vested in them by generations of visitors. Does no one recall anywhere that the Google brand was built in the network in five years without effective monetization – or a single page of display advertising?
My plea here was really to shift the underlying base of the business to a wholly digital operation. Instead of creating data around users and exhibitors as a part of the organizational workflow of the event, build that data out through web analysis to the point where data on both gives real indications of where the event lies in the entire workflow of these populations. Then one can begin to do analysis that supports ideas of what people would like to see, what input they need to have, and how their valuable time and scarce attention is best used. This data needs to have the depth and quality to suggest and create introductions and meetings, support those connections through the year to the next event, create localized satellite meetings or virtual conferences where necessary, and develop in sophistication alongside the needs of users. In other words, the event needs to re-characterize itself in two data-driven ways – both as an encapsulation of the community (or communities) present at the event, and as a vital part of the workflow of participants.
Well, my kindly friends said, with understanding expressions of sympathy tinged with pity on their faces, what if we do none of this? We have these good margins, these strong brands, no competitors, our valuations soar: what could be better. One delegate took me aside and told me that the key topic was trust: you needed to meet the people you traded with in order to know who to trust. When I responded that trust is created in networks by people recording their trading experiences of each other, and that events organizers might be working with credit rating agencies as data partners, he shook his head in disbelief that someone so innocent should be allowed out alone. This must be one of the last marketplaces on earth where it is necessary to say that around 1993, as far as I can now see, a door closed in History The birth of the internet marked changes, slight at first but now gathering force, which generation by generation change the way mankind communicates, and expects to be communicated with. The media industry in the last decade has been in the Tom and Jerry situation – over the cliff and pedaling pure air while realization dawns that the terrain beneath our feet has altered entirely.
In this world turned upside down the events businesses will draw the competition of – everyone. Its started already – just the other day the Huffington Post announced a conference. Meetings and exhibitions do not present high barriers to entry and can, in skills terms, be readily outsourced Big digital market brands – Alibaba around these parts, for example – would find these an easy option. They may not succeed entirely but they could ruin some existing brand positions. And they would be much better organized for digital marketing, using social media effectively and creating community that few real world events seem to have in depth.
But by embracing the data driven world that I tried to describe, the event brand could become a leader in advising the exhibitor on his market penetration and positioning; telling the visitor who wants to meet company X that other visitors with similar interests also met y amd z; enabling the visitor to plan 3 hours to do what formerly took 3 days, and positioning the exhibitor in four different places to catch visitors looking at clustered specialisms rather than relying on a super-stand where the sub-specializations were lost. So data gathering becomes a part of adding fresh value to the existing world, and then part of launching into things entirely new. I have never been more convinced that the virtual conference and exhibition will have their day than this week. Not at first, not to the exclusion of all other things, but importantly and commercially invaluably as one of the tools in the sector armory. We are in the foothills here, but the old lesson of the web is that you have to fail before we succeed.
The UFI organization distributed a splendid App for the event, detailing speakers, schedules and vital information. A perfect information gathering tool, I thought. And once serious data around participants in these shows is assembled, think of the data analytics, the visualization, the predictive analytics that will result. I enjoyed being with the events people and I look forward to meeting them again – in the world of data.
Nov
13
Hyperlocal: Lost in the Data Mix?
Filed Under B2B, Big Data, Blog, data analytics, Financial services, healthcare, Industry Analysis, internet, mobile content, news media, online advertising, Publishing, semantic web, social media, STM, Uncategorized, Workflow | Leave a Comment
On my good days I scan the screen for the re-invention of local news in a personalized framework, which is how I have defined “hyperlocal” for some years now. On the bad ones, I search for news of Ashley Highfield, erstwhile creator of the BBC web customization service, iPlayer, and now running Johnston Press. If he cannot re-invent the press, then who can? Or maybe there is another Johann Carolus in somewhere like Strasbourg, just about to do digitally what his namesake did in 1605, and develop the first news sheet. Yet Mr Carolus put the news to work for local businessmen (seventeenth century Germany was as yet oblivious of the bogus distinction of B2B from B2C), and it thus occurs to me that I may be looking in the wrong place for the renaissance of local news.
These thoughts were triggered by a piece in the New York Times (November 10) which did look as if it was going to tackle my “hyperlocal” anxieties.
(http://www.nytimes.com/2013/11/11/technology/gathering-more-data-faster-to-produce-more-up-to-date-information.html?_r=0&adxnnl=1&pagewanted=2&adxnnlx=1384288878-xYaeMfcYZuVjg950SS64xg&pagewanted=print) This piece, entitled Big Data’s Little Brother”, is in fact a story about data analytics, featuring Premise , a service which collects and analyses photos of market stalls around the globe in order to compile inflation and availability data for food supply and cost analysis, and Clear Story data, which does custom predictive analysis from the data available on the web and/or supplied by clients. Indeed this works with my own observations: SaaS in data analytics is becoming a boom industry, with players like RecordedFutures.com now creating multi-faceted analysis from cyber intelligence to competitive positioning. And these tools can only get smarter, which leads me to believe that we may have to re-create “news” for people who will have commercial reasons to pay before we can personalize news for the general reader/citizen at large.
So what are these data- driven, analytical insight organs going to look like? Well, for a start, we shall have to redefine the word “news”. The services that grab the attention now do not use the news to report something so much as to predict something. When Takadu.com is deployed by a water utility company, it is putting together analysis around sensor, image, staff and public reporting on water leaks. Since 25-30% of global water supplies are NRW water – non-revenue contributing, a glorious term for leaks – this is as vital to the utility as it is to the globe, but the important matter may not be the leak itself, but the trend, the order of repair, and the potential future impact. While it is hard to appreciate FoodGenius.com, which helps food processors develop ever more nutritional disasters for our consumption, it reads 300,000 menus daily to find the trend and create the prediction – lambs’ kidneys in guacamole will be big in 2014 – and will be available everywhere. And moving swiftly to a subject that makes me feel less emotional, companies like Molecular Connections can use the analytics on one side of their business for advanced drug discovery processes, finding and analysing news from the future, while using their technology to give meaning to archival news, as they have done with Nature, the pre-eminent science journal.
None of this is News as we know it, and part of me now accepts the idea that the networked society will never quite want News as newspapers once knew it. Things like the Huffington Post are hybrids, the results of miscegenation, not a new evolutionary track. Things like Buzzfeed are entertainments, brilliant if you want to contemplate the life and works of Rob Ford, Torontonian mayor/buffoon/jester, reduced to 22 captioned images, but only customizable in the “more like that” sense. Nothing here speaks to me about the use of the one thing we have in plenty – data – to inform us of the patterns of our lives and the way that they may change in future.
And we know so much. Isotrak.com reckon they are saving their haulier clients £150 m per annum on areas like building patterns of more efficient driving. This links to my interest, already expressed here, in lower motor insurance costs as your car speaks to your insurer via your smartphone and reports your performance. While recording your journey on Wayze, and noting car accidents and traffic congestion as a result. So maybe these services of the future have active advertising – not just “buy our service to save money” – but lets do it and save it now! And maybe the “news” is about you – in society, against the backdrop of the performance of others, all living anxiously in a rated, graded world. After long years when news tycoons and advertising gurus fought to create “My” service environments and telling us all how to behave, it would be poetic justice if we ended up making them for ourselves, and letting the data modelling tell us how to behave.
Which is what I think we will do. Soon the tools will become available to view all the niche networks that we join in the post-Facebook world in a single viewer which allows us one view of our separate networks for family, for college friends, for business and professional associates, sports aficionados etc. Here we will pull in more data – is anyone getting better wholesale prices for his home- produced electricity than I am? And analysis. And prediction. And we will move the dial from the congested relief road to who is standing for office who wants to do something about it. And before we know it we are back to wondering how any group of well-adjusted people elected Rob Ford, or Boris Johnson, or any other mayor, and then we want commentary and analysis to explain these things. Here “journalism” is by definition self-employed.
But in the meanwhile, the deconstruction of news has to be total before we can begin to reconstruct the flows of data and information which will make a digital economy in a networked society perform and function. So it is probably just as well we have the guys we have in charge of our press. From power-broking to phone hacking , they are doing a grand job of destroying public trust in the world of paper and preparing us all for the digital yet to come. So good, in fact, that rather than put them on trial we should give them an award!
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