The what and the why

SurveyMonkey CEO David Goldberg believes we’re still in the early days of understanding the new economy

“People are drowning in big data,” SurveyMonkey’s CEO Dave Goldberg says in the latest Decoding The New Economy video.

Goldberg sees SurveyMonkey as bringing order to the world of big data in allowing organisations to put their information in context, “We want people to ask the right questions so we can get better data.”

“Here’s a question I need to answer – how happy are my employees? what do customers think of my new product? What are my students doing at school this year?”

Growing the survey industry

One group that’s uncomfortable with the rise of SurveyMonkey, a privately listed company that’s worth $1.3 billion after a capital raising last year, are traditional market research firms who see the service as putting a powerful tool in experienced hands. Goldberg sees it as an opportunity for the market research industry.

“We’re not replacing market researchers,” says Goldberg, “most people who come to SurveyMonkey haven’t used a market researcher before. It actually probably creates more demand for more sophisticated research down the line.”

Goldberg himself isn’t from a market research background, instead he hails from the tech sector having set up LAUNCH in 1994, one of the early music streaming companies which he sold to Yahoo! in 2001 and became the company’s Director of Music.

He left Yahoo1 in 2007 and spent two years in the venture capital industry before joining SurveyMonkey as CEO in 2009.

Understanding the data

From his experience, Goldberg sees understanding data the key business skill for today’s workers, firmly believing that kids should be taught statistic rather than coding.

“Everyone is going to have to learn how to use data.” Says Goldberg, “someone was asking me the other day about sort of skills should we teach our kids to prepare them for the future and I think the thing we’re not doing enough of is teaching them how to use and analyze data.”

To Goldberg we’re still in the early days of understanding how mobile and social media are going to change business with understanding data being one of the great opportunities.

“Implicit data is really interesting but it tells you ‘what’, it doesn’t tell you the ‘why’, believes Goldberg. “We think what we do is the explicit side, we gotta ask people to get the ‘why.”

 

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Microsoft and the Internet of Your Things

Microsoft has come the IoT party with the ‘Internet of Your Things’ tagline

Microsoft has come late to the Internet of Things party, but it is has a good angle with it’s ‘Internet of Your Things’ tagline.

General Manager of Microsoft’s embedded systems division, Barb Edson, spoke with Decoding The New Economy about the company’s strategy with the Internet of Things.

For Microsoft, the emphasis is on the enterprise side of the business with Edson describing their strategy of “B2B2C” where the value in the IoT lies in managing the data for the businesses providing consumer services.

Most notable is the company’s IoT tagline, as Edson says; “from Microsoft’s perspective we view the Internet of Things as ‘the internet of your things.”

“Lots of companies out there talking about the Internet of Everything that there’s 212 billion devices, why do you care as business executive. You care about your things.”

Microsoft’s strategy is based on leveraging their own assets such as Azure cloud services, SQL Server and Dynamics along their customers’ existing infrastructure.

This retrofitting the internet of things to existing infrastructure is illustrated by Microsoft’s using the London Underground as its main reference site.

Connecting all 270 stations of London’s 150 year old Tube network to the IoT is a massive undertaking and one that can only be done by retrofitting existing monitoring and SCADA systems.

Interestingly the case study only look at Phase One of what appears to be pilot project in selected locations, the Microsoft spokespeople were a little unclear on this when asked.

The London Underground is only one example of millions of organisations that will grapple with adding existing equipment to the internet of things in coming years; it’s an opportunity that Microsoft has been smart to identify.

Edson however is clear on how Microsoft intends to help companies deal with the information overload facing managers, “I think the most exciting thing is we’re seeing real business problems being solved.”

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Context and the digital divide

Paul Mabray, founder of US online monitoring service Vintek, sees a digital divide developing as businesses struggle with social media big data and Facebook.

“This is the most difficult time in history to be a wine maker, declares Paul Mabray, Chief Strategy Office and founder of Vintank.

“Never has the wine industry been as competitive as it is today.”

Update: The Wine Communicators of Australia, who sponsored Mabray’s visit, have posted Paul’s presentation that covers this post’s theme in more detail.

Mabray’s business monitors social media for wineries and collects information on wine enthusiasts. Since Vintank’s founding in 2008 the service has collected information on over thirteen million people and their tastes in wine.

Rewriting the rule book

Social media, or social Customer Relationship Management (sCRM), is what Mabray sees as being part of the future of the wine industry that’s evolving from a model developed in the 1970s which started to break down with the financial crisis of 2009.

“In the old days there was a playbook originating with Robert Mondavi in the 1970s which is create amazing wine, you get amazing reviews and you go find wholesalers who bring this wine to the market.”

“As a result of the global proliferation of brands the increase of awareness and consumption patterns where people like wine more, those playbooks didn’t work in 2009 when the crisis started.”

With the old marketing playbook not working, wineries had to find other methods to connect to their markets and social media has become one of the key channels.

Now the challenge in the wine industry, like all sectors, is dealing with the massive amount of data coming in though social media and other channels.

The cacophony of data

“If you rewind to when social media came out, everyone had these stream based things and the noise factor was so heavy,” says Mabray.

“For small businesses this creates an ‘analysis to paralysis’ where they’d rather not do anything.”

Mabray sees paralysis as a problem for all organisations, particularly for big brands who are being overwhelmed by data.

“The cacophony of data at a brand level is just too much,” he says.

“It’s as noisy as all get go and I think the transition is to break Big Data down into small bite size pieces for businesses to digest is the future, it shouldn’t be the businesses problem, it should be the software companies’.”

A growing digital divide

Mabray sees a divide developing between the producers who are embracing technology and those who aren’t, “the efficiencies attributed to technology are obvious whether they’re using CRM, business intelligence or other components.”

“The people who are doing this are recognising the growth and saying ‘hey, this stuff actually works! If I feed the horse it runs.”

While Mabray is focused on digital media and the wine industry, similar factors are work in other industries and technology sectors; whether it’s data collected by farm sensors to posts on Instagram or Facebook.

Facebook blues

Mabray is less than impressed with Facebook and sees businesses concentrating on the social media service as making a mistake.

“I think that every social media platform that’s been developed had such a strong emphasis on consumer to consumer interaction that they’ve left the business behind, despite thinking that business will pay the bills.”

“As a result almost every single business application that’s come from these social media companies has met with hiccups. That’s because it wasn’t part of the original plan.”

Facebook in particular is problematic in his view, “it’s like setting up a kiosk in the supermall of the world.”

The business anger towards Facebook’s recent changes is due to the effort companies have put into the platform, Mabray believes; “everyone’s angry about Facebook because we put so much into getting the data there.”

“We said ‘go meet us on Facebook’, we spent money collecting the items and manufacturing the content to attract people and now we have to spend money to get the attention of the people we attracted to the service in the first place.”

Despite the downsides of social media Mabray sees customer support as one of the key areas the services. “It’s easy to do in 140 characters.”

Context is king

“Everything come back to context. There’s this phrase that ‘content is king’,” Mabray says. “Context is king.”

“Anyone can produce content. It’s a bull market for free content. We have content pollution – there’s so much junk to wade through.

Mabray’s advice to business is to listen to the market: “Customers are in control more than they have ever been in human history: Google flattens the world and social media amplifies it.”

For wineries, like most other industries, the opportunity is to deal with that flat, amplified world.

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Solving intractable problems

How are consumers like terrorists and what does this teach businesses about solving problems?

Developing counter terrorism strategies is an unlikely path to founding a business that deals in organisational change, the latest Decoding The New Economy video covers exactly this in an interview with David Snowden.

Snowden is the Chief Scientific Officer and founder of UK based consulting network Cognitive Edge that assists organisations with change and solving ‘intractable problems’.

A failing Snowden sees with the way most businesses approach organisational change and problem solving is “the case based approach that dominates most of society.”

“The idea is you find what other companies have done and you imitate it.” Snowden explains; “apart from the fact you can’t imitate the context, no company has succeeded other by imitating other people – they succeed by doing things differently.

“We take what we know about how the human brain works and we help people work those problems out.”

Safe to fail experiments

In approaching ‘intractable problems’, Snowden believes there are two ways to approach them; one is to set up ‘safe to fail’ experiments where smaller experiments are run in parallel within the organisation to see what innovative solutions arise.

The other approach involves using Snowden’s software based approach where staff or customers’ views are captured in real time to create a crowdsourced view of problems and their possible solutions.

“You can’t afford, for example, in market research to spend three months commissioning something, two months gathering the data and one month interpreting it.”

“If we create a sensor network of your customer we can give you data in real time.”

Consumers and terrorists

Dealing with real time data in public security are the origins of Cognitive Edge; “we started in counter terrorism where you have to deal with weak signal detection, you need fast real time feedback loops and you need to intervene very quickly.”

“There’s no difference between a terrorist, a customer, a citizen and an employee,” says Snowden. “They all represent the same problem which is how the hell does a large authority make sense of fragmented data.”

Developing human sensor networks

Snowden sees ‘human sensor networks’ where groups contribute their stories to create a narrative around a topic, as being one of the strongest intelligence and communications channels.

“Big data can tell us where you travelled, a narrative approach can tell why you travelled. If something goes wrong, I can also use that network to communicate.”

One project Snowden is looking at brings these concepts together to create new communication channels at airports, an idea that came to him after being stuck for two days at Toronto airport in a snowstorm, “frequent fliers have smartphones, they can be activated by the airlines and used as a communication mechanism.”

The interview with David Snowden is one of the most information and concept dense videos that I’ve done to date. It’s worthwhile listening this a few times to understand some of the fascinating fields he and Cognitive Edge are working in.

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Do business awards help companies?

Winning business awards are great for helping a company focus on its operations, but they aren’t necessarily great for growing an organisation.

The latest clip on The Decoding the New Economy YouTube channel is an interview of Cameron Wall of Melbourne’s C3 Business Solutions about business intelligence, data analytics and whether winning awards helps a company.

Cameron’s business has been a successful enterprise having grown to over a hundred employees since being founded seven years ago.

As a high growth business, the company was listed in the 2010 BRW Fast Starters list, interestingly though Cameron didn’t see a great deal of benefit from winning the accolade.

“I look at it as being a credential, just because you get the credentials it doesn’t necessarily mean you can charge a premium in the marketplace,” Cameron says. “It all helps in terms of recognition, but we haven’t been thrown anything as a result of the award.”

On the other hand the company has won the BRW Best Australian workplace three years in a row and Cameron has found this improved the business’ recruitment.

“Being in a service company you often hear ‘people are our greatest asset’, basically they are our only asset.” Cameron says, “Having a great place to work is really important for us.”

Cameron found that after winning the great place to work that the flow of resumes increased. “Some of the benefits of that were a lot of people applied to join C3 and it makes the recruitment process a lot easier.”

How business awards do help companies is in reviewing their operations and practices as Cameron explained, “using the great place to work process is a great way to understand if we’re trending upward, downward and where we’re going.”

“It was a difficult award to win, as you get probed by every angle.”

With the growth in data science, business analytics and Big Data companies like C3 are going to need good employees in the global race for talent. Having a reputation as fine place to work is a good way of winning the global race for talent.

Trophy image by RoyM through sxc.hu

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Blind faith in the algorithm

Putting too much faith in computer programs may cause problems for the unwary.

It’s fairly safe to say Apple’s ditching of Google Maps for their own navigation system has proved not to be company’s smartest move.

The humiliation of Apple was complete when the Victoria Police issued a warning against using the iPhone map application after people became lost in the desert when following faulty directions to the town of Mildura.

Mapping is a complex task and it’s not surpising these mistakes happen, particular given the dynamic nature of road conditions and closures. It’s why GPS and mapping systems incorporate millions of hours of input into the databases underlying these services.

Glitches with GPS navigations and mapping applications aren’t new. Some of the most notorious glitches have been in the UK where huge trucks have been directed down small country lanes only to find themselves stuck in medieval villages far from their intended location.

While those mishaps make for good reading, there are real risks in these misdirections. One of the best publicised tragedies of mis-reading maps was the death of James Kim in 2007.

Kim, a well known US tech journalist, was driving with his family from Portland, Oregan to a hotel on the Pacific Coast in November 2006 when they tried to take a short cut across the mountains.

After several hours driving the family became lost and stuck in snowdrifts and James died while hiking out to find help. His wife and two children were rescued after a week in the wilderness.

Remarkably, despite warnings of the risks, people still get stuck on that road. The local newspaper describes it the annual ritual as find a tourist in the snow season.

Partly this irresponsibility is due to our modern inability to assess risk, but a more deeper problem is blind faith in technology and the algorithms that decide was is good and bad.

A blind faith in algorithms is a risk to businesses as well – Facebook shuts down accounts that might be showing nipples, Google locks people out of their Places accounts while PayPal freeze tens of thousands of dollars of merchants’ funds. All of these because their computers say there is a problem.

Far more sinister is the use of computer algorithms to determine who is a potential terrorist, as many people who’ve inadvertently found themselves on the US government’s No Fly List have discovered.

As massive volumes of information is being gathered on individuals and businesses it’s tempting for all of us to rely on computer programs to tell us what is relevant and to join the dots between various data points.

While the computers often right, it is sometimes wrong as well and that’s why proper supervision and understanding of what the system is telling people is essential.

If we blindly accept what the computer tells us, we risk being stuck in our own deserts or a snowdrift as a result.

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