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Archive for the ‘Interesting Stuff’ Category

One of the challenges of the research profession is to present data and insights in easy to understand and engaging ways. Often the answer is data visualizations. Since infographics are getting ever more popular, this post from 2010 seemed appropriate as the second installment in our Top Posts of the Past series. Though the post is about two years old by now, these 5 tips for creating easy beautiful data visualizations are still quite relevant.

Data Should be Beautiful, Playful and Enlightening

playful images

As part of the onedotzero season at the BFI in November I attended a fascinating forum on Data Visualisation on Friday night. There were a number of speakers who showcased their work the highlight being David McCandless the author of Information is Beautiful.

The key themes from the event can be summed up as follows:

1. We live in an era of of information overload and huge complexity we need help to make sense of it all.

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I attended WARC’s Datacentric Conference last week where Fran D’Orazio was presenting with O2 on Mining Big Social Data In Real Time. The overriding central theme of the day was how to move from being data driven to becoming more data decision and data action orientated. Some of the key points are worth summarising here.

1. Measure people, not channels

Dan Hagan, Head of Planning at Carat, talked about the importance of getting closer to individuals and measuring people rather than channels to help “Manage data to gain insights into brand strategy”.  One of the new ways to achieve this was to use agent-based modeling that required the creation of fake digital personas with basic rules & behaviours. These digital robots, if used in large numbers, provide rich qualitative data on potential customer profiles in a social context. The model allows researchers to compare the fake ecosystem with real life.

2. Doing it right versus doing the right “it”

The real power of insight does not come from measuring every piece of data but understanding the most important pieces of information to drive action. Gavin Meggs, Sky IQ’s Strategic Insight Director talked about moving from Big Data to Big Insight. His advice was simple:

-          Understanding what’s possible is about understanding the customer attributes and behaviours; interactions at each touch point, attitudes and preferences, getting a single customer view and having a memory

-         Put the customer at the centre of your organization not just at the centre of your model

-         Optimization of Data sources and the importance of data matching

-         Connecting insight to business objectives so one can prioritize what’s important

-         Scope – the problem of size. The cost of doing too much can sometimes be more than doing too little

3. Social Attribution Modelling- combining social data, with on-line and off-line models

One of the Conference inspirations came from Louisa Middleton at Google in her presentation “On-line data analytics: From the Customer decision to the bigger picture”. Here was the opportunity to combine social data with click stream data and off-line methodologies to deliver a new attribution model – one that can help put the customer purchasing journey in a social and brand context.

4. Separate data planning from data execution

In terms of making data part of every conversation, Lee Feinberg from Nokia argued that it is important to separate data planning from the execution with his DRAW ON approach. This was essential to help companies move from being data driven to decision driven.

Planning Phase

·      Decisions you need to consider – make sure that you cover all of them at the outset

·      Results that drive the decision – write them down but also sketch them out as visualizations as this helps to get key points across

·      Analysis of achieving the results. Build a list of all of the questions that might be asked about the key measures so you can make sure you have all the data available to answer them

·      What else to complete the analysis. Bring information from outside into the conversation

Execution Phase

·      Make important information Obvious – otherwise can camouflage data

·      Neatness counts

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Happy thirteenth birthday, Google!

  • Date September 27 2011
  • Posted by Chris
  • Tagged with
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Thirteen years ago this month, a behemoth was born. Arguably the most influential online brand ever, Google was the brainchild of young Stanford graduates Sergey Brin and Larry Page and grew from an earlier search engine project – the slightly creepily named BackRub, which the two had founded in 1996. One year later, the pair registered the Google.com domain name before being incorporated as Google, Inc. in September 1998 in order to cash a $100,000 cheque from their first investor, co-founder of Sun Microsystems Andy Becholsteim.

The past thirteen years have seen consistent year-on-year innovation, an appropriate record for a company so ambitiously named – Google is a corruption of the word “googol“, meaning the number 1 followed by one hundred zeroes. From humble beginnings with one employee in a Mento Park garage and a soon to be shed exclamation mark at the end of their name, Google’s progression was astonishing.

1999 saw the addition of “Uncle Sam” to the Google roster – a specialised landing page for searching millions of US government documents. The Uncle Sam function was a vertical search allowing users to search a limited index of the web – a need which Google deemed irrelevant with the improvements to their mainline search functionality. The service was dropped in June, along with the specialised Linux and Microsoft searches.

Google became the world’s premier search engine at the turn of the millenium. 2000 was the year that Google went into partnership with Yahoo! and broke the 1 billion mark in URLs indexed, more than any other engine. The company also launched AdWords as a new way of generating revenue – a service allowing people to purchase keyword advertising that would appear alongside search results.

Another year, another breakthrough. 2001 saw the launch of Google Image Search, with an index of 250 million images.

Early in 2002, Google spread their wings into hardware for the first time. The Google Search Appliance allowed purchasers to plug the Google technology into private networks. “It was just a natural extension for us to take our existing search product and put it behind the firewall,” said Joan Braddi, vice president of search services at Google. “We had been asked by many of (our) partners for something like that.” The technology could hold up to 150,000 documents, or 10 gigabytes of data, and cost $20,000.

With a continuing emphasis on creating revenue, Google used 2003 to launch what was to become AdSense after Google acquired Applied Semantics. 2003 was also the year that Google acquired Pyra Labs, creators of the Blogger technology.

2004 was Google’s busiest year yet, as they launched gmail on April Fool’s Day, having already thrown Orkut into the social networking mix in January of that year. Later in the year, Google’s initial public offering saw 19,605,052 shares put on sale at $85 each.

Google continued to create at a feverish pace in 2005, with the launch of Google Maps in February, followed by developer resource code.google.com, Google Analytics, Google Earth and Reader.

YouTube was a groundbreaking organisation in its own right, so when Google purchased the company for $1.65 billion they formed a formidable combination. In 2006, Google also developed more of its own products – GChat, Trends and Google Checkout.

2007‘s major development was Google’s announcement of its step into mobile with the launch of Android – “the first open platform for mobile devices.”

Google took a year to release its first Android powered phone in partnership with T-Mobile, the G1. 2008 also saw Google create its own open source browser to compete with Firefox – Google Chrome. It was also the year in which Google added the Suggest function to its search.

2009 saw one of Google’s few failures. Google Wave was an attempt to move into real-time communications, combining aspects of e-mail, instant messaging, social networking and project management in one platform. Unfortunately, just more than a year later, the Wave had broken and rolled back as its uptake failed to match the initial buzz.

Last year, the company gave us the Google Apps Marketplace, an app store allowing third-party developers to market their creations. 2010 was also the year in which Google Buzz picked up where Wave had left off as a social sharing utility, this time grounded in Gmail.

Which brings us to 2011 and the launch of Google + in June. Now a bona fide tech giant, Google showed its financial clout by purchasing Motorola Mobility for $12.5 billion.

Google’s future, however, is less clear. The now teenaged company faces fierce competition from even younger organisations, first and foremost amongst them Facebook. This infographic from MBA Programs Info shows how the two companies match up. Google’s user base is still far bigger, but users are relying more and more upon Facebook – if the average internet user were to be online for 24 hours, they would spend 2 hours and 18 minutes on Facebook whilst only spending 1 hour 45 minutes on Google. Perhaps more pertinently, though, Facebook’s ad revenue outstripped Google’s in 2011 by over $1bn.

So what next for Google? Would you trust Facebook as a search utility as well as a social network? Or can Google + become the new social networking monolith?

Rather ace presentation by Gareth Kay on why small matters and how to build brands from the bottom up. We couldn’t agree more.

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The NGMR Top-5-Hot vs. Top-5-Not

  • Date March 08 2011
  • Posted by Job
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HOT

Market researchers starting to become more immersed in social media rather than just seeing it as another tool

Use of real time and location based data by researchers will help us develop more adaptive and personalised strategies for clients

Bots will start to play a larger role in the industry

Online research communities will move beyond forums, diaries and groups – peer to peer research, self ethnography gamification

Innovation will apply rapid prototyping & 3d printing to the process and help clients get further faster


NOT

Talking about about respondents in research studies. We will be talking about people as MROC become common place

Use of the term ‘social media monitoring tool’ will die as  discussion around social media research and delivering insight for clients increases

PDA and clipboards for face to face data-capture will be a thing of the past as they are replaced by apps

The focus group will continue to be in decline as co-creation and crowdsourcing in the innovation process continue to gather momentum and deliver results

Less dusty written reports with the implementation of more real-time client dashboards fit with semiotic analysis

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