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Last week was Social Media Week New York. And I went to every panel I could. I didn’t manage to get to all of the ones on my list. As is so often the case, there is just not enough time in the day. The panels I did get to see ranged over a variety of topics, from privacy to dating. They were so varied, in fact, that I was a tad surprised to see an over-arching theme come out of everything: Context.

By context I mean understanding where, how and why a person is engaging with digital or social content. This affects not just a researcher’s efforts to understand the data presented, whether that is “big” or otherwise, but plenty of other topics that were brought up frequently at the various panels.

Let’s start off with privacy, a very popular topic across the board. This discussion popped up during Francesco D’Orazio’s panel “Big Data Goes Social” hosted by Bloomberg, and there was even a full Key Note by danah boyd dedicated to it. The question here is how should we respect people’s privacy?

On the one hand, much of what is online is public, open for all to see. But on the other, 32% of people (this number is surprisingly higher for millennials at 38%) don’t even know brands are listening in, according to this recent study. As Francesco said on his panel, people want to be in control of their own data, but unfortunately, that’s not how things are set up right now.

Controlling and owning data, though, isn’t just being in possession of it, it’s controlling the context around it. According to danah boyd in her keynote speech, controlling the context of their online interactions is what people are trying to do when they attempt to protect their privacy. If we owned and controlled our data, this would be simple, but since we can’t, people use privacy filters and other tactics to control who can see their online posts.

People don’t mind sharing things openly online, as long as that’s why we’re doing it. For instance, in that same research study, they found that over 40% think that listening in to online social discussion is intrusive, but almost 50% said companies should listen to improve products and nearly 60% said companies should respond to complaints. It all has to do with context. If a person is complaining, then join in and help – that’s why they’re doing it. If they are just mentioning a brand or having a personal discussion, then they don’t want a brand entering the conversation.

Sure, if they could control their data and who sees it, that’d be the best. But barring that, if we understand the context people are talking in, we can understand which conversations are private and which a brand can safely join.

Big Data Goes Social

And computers can’t do that. The need for human interpretation was another topic linked to this idea of context that sprung up frequently in the various panels I attended. Francesco made this point, too,during the “Big Data Goes Social” panel. Big data can provide the “what” but it takes a person to identify the “why,” often by looking at a variety of factors.

There’s an emphasis these days on the collecting of data and the presentation of it. As Jonathan Perelman of Buzzfeed said during the “Social IRL” panel, data doesn’t tell the story and ads don’t tell the story. But the interesting part is the story, the why’s, not the what’s.

And they are interesting because of the effect of context on marketing efforts, the third topic under this umbrella of context.  It’s not just enough to know how many times something was shared, or viewed, or mentioned. You have to know the reasons, the situations, in short – the context.

For instance, for Buzzfeed, reading an article is only the first step. Their goal isn’t to accumulate views, but to accumulate shares. But, as I see it, to understand why someone shares something, and with whom, you need to know the context they’re using the content in. In the same panel as Jonathan from Buzzfeed, Sarah Baehr from Carat USA pointed out that 75% of people with smartphones are never more than 3 feet away from their devices. This means that context is very important for mobile communications. It is, after all, used in the “real world.”

This idea of linking the service or marketing message directly into the context of the user was very applicable during the online dating panel “It’s Complicated.” Panelists from Match.com/OKCupid, How About We, iCrossing, and Talkify discussed how they are trying to link their services up with the immediate context consumers find themselves in. Sam Yagan from OKCupid and Match talked about the Crazy Blind Date feature that OKCupid recently released, which is all about skipping directly to the date, directly to the offline world, depending on your immediate locale.

In a discussion about improving the algorithms used to match people up, the panelists began discussing mobile apps to help learn how a date went, so the algorithms could better understand the users. As Brian Schechter, Co-Founder and Co-CEO of How About We put it, in online dating there is more emphasis on the analog now, but it’s about getting back to the physical and using digital to track that.

So after this Social Media Week 2013, I’m walking away with a sense of the growing importance of context not only as a researcher but as a marketer. Yes, there were plenty of other great and interesting things discussed – from the importance of training and dashboards, to trusting the data itself. But this is what I’m walking away with because I think context touches on all of those things, and more, opening up the discussion to more interesting and relevant directions.

I also think this represents the biggest challenge: How to understand the context of online behavior so we can find even better, more actionable insights.

I attended the Social Media Week New York “Big Data Goes Social” Panel discussion hosted by Bloomberg on Tuesday, where our very own Francesco D’Orazio, our Chief Innovation Officer and Head of Social Intelligence, gave his thoughts on a number of key questions around the value of big data.

He was accompanied by other distinguished panelists namely Paul Sweeney, Head of Research and Financial Data Analytics at Bloomberg; Michael Nelson, Research and Analytics for Bloomberg Government; Lisa Joy Rosner, CMO at Netbase; and Mark Cooper, Co-Founder of Offer Pop.

There were 4 key themes I took away from the discussion:

Big Data Goes Social Panel

Image by Sherrie Rohde

Trusting Big Data

The first centred around the area of trust. People are still not sure if they can trust social data. Lisa Joy Rosner told an interesting story regarding a yogurt client. Retail data showed the company that the top selling flavour was vanilla, but all the buzz and conversation from social data was telling the business a different story. Pineapple flavour was what customers were getting really excited about yet this was not translating into sales. The reason they established was that in most stores there were not enough pineapple flavoured yogurts stocked so customers would default to vanilla because their favourite flavour was simply unavailable.

Big Data Talent

All the panelists agreed that the data or the technology behind it, each on its own, is not enough to extract real value and meaning to drive business actions. Smart people who can connect the dots and help understand the “why” as well as provide contextual and behavioural insights are vital.

That’s why D’Orazio argued that looking at Big Data from a research POV is important. Having researchers who are technologists and can bring a mix of quantitative and qualitative skills to the table – a combination of the social sciences, anthropology and statistics – is what is needed.

That said finding these types of people is not easy. Nelson pointed out that a recent McKinsey report stated that in the next 4 years there are going to be 140,000 to 190,00 unfilled data scientist jobs. An additional challenge is that there are 1.5 million managers who needed to be re-trained in the area of Big Data so people are able to understand what’s possible and what’s not. Without a basic understanding of statistics, Nelson pointed out that businesses will draw the wrong conclusions from the data and make bad decisions

Big Data Poll

Image by Twitter user @matylda

Making Big Data insights Actionable

Aside from people there were other key points to making sure data-driven insights were actionable. Michael Nelson argued that there needs to be a culture of transparency as well as a culture of “combat” when it comes to big data. Make all the data transparent and available to the whole company and encourage debate and discussion around it.

This tied in with Francesco D’Orazio’s point on decision making. If you really want to derive value and meaning from big data then you need to re-engineer how your company makes decisions based on what the data is telling you. Dashboards delivering live feeds to executives can quickly become redundant if the process of responding quickly to what the data means has not been thought through.

The benefit of researchers who get technology (rather than technology companies trying to do research) is highlighted in the way big data is collected. D’Orazio pointed out that Face’s Pulsar platform doesn’t just track data by keywords now but also by reach, audience and content. Wrapping this with a solid research framework is key to delivering robust and actionable insight.

Privacy and Data Ownership

Unsurprisingly privacy was a hot topic of the debate. Lisa shared some interesting facts from a recent study she had done with JD Power that showed that 32% of consumers had no idea that they were being listened to. The conundrum of the privacy issue around big data was highlighted by the statistic: 48% don’t want to be listened to, but then 58% said they did want to be listened to if they were complaining or needed help.

There was also concern that European law may limit the ability of companies to analyze data in order to personalize their offerings. Transparency was key to solving the privacy debate said Nelson – if I tell you what data I’m collecting and the benefit you get in return for collecting this data about you then you will give me more data.

However D’Orazio felt that this was rarely true – the benefit of big data is with the company not the customer. In this sense he said that a much bigger looming concern was around data ownership. Customers at some point will realise that it is in their interests to control their own data (personal data lockers) and this could have major ramifications on current business models.

A final thought

One final thought that we were left to mull over is preparing ourselves to manage the trend of social data going visual when most technology listening platforms are built around text. In 2013 we are going to need to crack visual mining. Now there’s a challenge!

I’m really looking forward to Social Media Week New York. Everyone in the office knows this because I can’t stop talking about it. There are so many things to look forward to, from our own Francesco D’Orazio talking on the “Big Data Goes Social” panel hosted by Bloomberg to unconferences to networking to parties. I just love the fact that the whole city buzzes like one giant convention center for a whole week.

Social Media Week New York

Unfortunately, the whole city is a big area to cover when running from one panel to another. And all that running doesn’t leave much time to get work done. I’d love to spend all week listening to experts and chatting with the other attendees, but I’m sure I’m not the only one who has other things to do in the day.

So here’s the busy researcher’s list of must-see events. One per day. You might not be able to sneak out the whole day, but an hour or two should be doable.

Monday: What Digital and Social Media Teach Us About Innovation and the Future of Education
This “fireside chat” style event with Dr. Augustine Fou of the Marketing Science Consulting Group is a good way to kick ofDr Augustine Fou the week right by thinking about technology, innovation, and the future. This panel will hone in on how to use technology to better educate and equip tomorrow’s workforce. This is particularly true of the market research field as our industry continues to evolve.  This panel is all about innovation, which is why I’m recommending it.

Tuesday: Big Data Goes Social
Francesco D'OrazioThis is the one panel I’m looking forward to the most. Why? Well, our very own Francesco D’Orazio is in it! Of course, that’s not the only reason I’m recommending this panel.

There is more to social media than likes and shares. This event is about how to use the wealth of social media data, such as psychographic and demographic information, to provide brands actionable business intelligence. This is the cutting edge of social media research. It goes beyond “the value of a fan” to explore new ways of understanding a brand’s consumers. Francesco is joined by Mark Cooper of Offer Pop, and Michael Nelson and Paul Sweeney from Bloomberg for a discussion moderated by Sam Grobart, also from Bloomberg. This is definitely a must see.

Wednesday: Social IRL
The reason why we study online behavior is really to understand how it is affecting the off-line world. A Facebook Poke is just a digital message, what really matters is what that message means for the analog people reading that message.

This panel will explore the effects of social media interactions and behavior in that analog world, covering areas from natural disasters to dating. Beyond just examples, it will go into who is driving these behaviors, both online and off, and how this link between offline and online will develop into the future.

Thursday: Making Invention Accessible with : Ben Kaufman, CEO of Quirky
We’re always talking about innovation here at Face – it’s what we do. But one of the toughest parts of theBen Kaufman innovation process can be making it collaborative, both within a company and between the company and its consumers.

In this event, Quirky Founder and CEO will talk about the nature of collaborative invention. At Quirky, they enable regular folks to become inventors and sell their new products, working with the online Quirky community to refine the ideas together. As someone who works in innovation and co-creation, I’m looking forward to this one.

Friday: danah boyd on the Ethics and Challenges of Dealing with “Big Data”
Finally, round the week off with an event that will force you to look at and recognize one of the potential pitfalls of big datadanah boyd – privacy. In this keynote event, danah boyd will be discussing her research into the area of privacy and publicity in big data. She’ll be looking at what’s currently going on, as well as where we may be headed.

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Happy Thanksgiving from Face!

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The Holidays are kicking off in earnest, starting with Thanksgiving! This is one of our favorite holidays in the Face US office in New York. We go all in with a huge potluck where everyone in the office (which includes our sister companies here in New York) brings in a home-cooked dish. This is our second go at an office Thanksgiving – and we definitely reached new culinary heights!

Our Thanksgiving Potluck Food

The poor Turkey is already in trouble!

As with last year, I prepared a sweet potato dish. Philip contributed a rice dish with fresh grapes and parsley (sounds bizarre but it was quite delicious), and Adina supplied some mashed potatoes in two varieties – garlic and rosemary. The only things store-bought were the turkey and a roast. Honestly, I don’t even get this authentic a Thanksgiving at home!

Sitting around the table

Smiling, happy, stuffed faces. Happy Thanksgiving!

Not only has Face grown in the US this year, but the other companies here have too. There were so many of us that we had to put the food on one table while we gathered around another. We set ourselves up with our food buffet style before sitting down as one very large Cello family to eat. The table, as you might be able to tell, was decorated in the Holiday’s theme, even to the point of adding some brightly colored Thanksgiving confetti.

After the dinner was over, we all snagged some leftovers to take home. But we didn’t take everything. Not only was there simply too much food, we also had a better use for it: We donated what was left to a local church. Not every food kitchen or shelter will take opened food, but we’re glad this one did. I hope someone enjoyed our cooking!

But do you know the best part? Tomorrow we get to do this all again. I hope my poor tummy will survive the holidays!

Have a Happy Thanksgiving!

Happy Thanksgiving

Leading global market research blog GreenBook has posted an interview with our CEO Andrew Needham.

Lenny Murphy writes:

“It’s been awhile since we did one of the CEO series interviews so I’m excited to get us back on track with today’s installment: a conversation with Andrew Needham, CEO of Face.

This is a meaty interview filled with big ideas (Andrew is a Big Idea kind of guy) and I think it will help stimulate a lot of thinking on the future of research, especially more  qualitative approaches. Enjoy it!

Face is one of the new breed of agencies that has emerged in the UK that is much more focused on the “why” rather than the “how” of traditional market research. Andrew and his team have continuously put forth a stream of thought leading content and challenging new ideas on the role and impact of research on marketing organizations, and based on their rapid growth these ideas are resonating with clients.

As we follow the evolution of our space, it’s apparent to me that firms like Face will play a major role in pioneering the new paradigm, and leaders like Andrew are on the forefront of redefining who we are as an industry and the tools we bring to bear to help meet client needs.

Read the full interview over on GreenBook: The CEO Series: Interview with Andrew Needham of Face

And stay in touch with Andrew on LinkedIn or Twitter.