salondu bi nexalogy

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CGT talk at Infopresse @cgtheoret La Révolution des données sociales

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Page 1: Salondu bi nexalogy

CGT talk at Infopresse@cgtheoret

La Révolution des données sociales

Page 2: Salondu bi nexalogy

@cgtheoret

Page 3: Salondu bi nexalogy

@cgtheoret

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Every minute 8-10 months ago:

• 48 hours of video are downloaded on Youtube• 320 new accounts and 98,000 tweets appear

on Twitter• 168,000,000 million emails are sent • 20,000 new posts on Tumblr• 6,600 photos appear on Flickr• Over 20% of all websites are

CMS/wordpress/etc…

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Every minute today:

• 60 hours of video are downloaded on Youtube• ??? new accounts and 236,000 tweets appear

on Twitter• 204,000,000 million emails are sent • 28,000 new posts on Tumblr• 1,600 photos appear on Flickr !!! No shit!

Page 6: Salondu bi nexalogy

@cgtheoret

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@cgtheoret

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@cgtheoret

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@cgtheoret

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@cgtheoret

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@cgtheoret

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@cgtheoret

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In a lot of ways “Big Data” is like Oil…• Difficult and expensive to extract

@cgtheoret

Page 15: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• Difficult and expensive to extract

@cgtheoret

Page 16: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• Difficult and expensive to store and distribute

@cgtheoret

Page 17: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• Cheapest (and least useful) in its unrefined

form

@cgtheoret

Page 18: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• Cheapest (and least useful) in its unrefined

form

@cgtheoret

Page 19: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• Cheapest (and least useful) when its unrefined

@cgtheoret

Page 20: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• More expensive at every step of refinement

@cgtheoret

Page 21: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• More expensive at every step of refinement

@cgtheoret

Page 22: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• But even if it refined, how do how handle this

much of it?

@cgtheoret

Page 23: Salondu bi nexalogy

In a lot of ways “Big Data” is like Oil…• Produces a plethora of derived products

@cgtheoret

Page 24: Salondu bi nexalogy

“companies must begin treating data as an enterprise wide corporate asset while also managing the data locally within business units.” Forbes, March, 2012

@cgtheoret

Page 25: Salondu bi nexalogy

Social Media and BI … so many reasons

• Relatively inexpensive consumer and market research tool• Real time customer support channel• Perfect channel for influencer research and outreach• For certain products can be a go to market channel• Obvious source of competitive intelligence• Can be crucial in SEO strategies

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Page 26: Salondu bi nexalogy

LP Royer case study

safety boot manufacturer

Challenge: design a new strategy dashbaord to help it navigate a period of change : entering the US market

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http://www.pwc.com/us/en/technology-forecast/2012/issue1#

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Strategy Research Plan

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what do you want to get ?

• Customer Relations• Brand Comparisons• Community Outreach• Strategic Planning• Community Awareness• Issue Tracking• Crisis Monitoring• Thought Leadership Strategy

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Goals: need to be clearly defined for ROI1. Understand brand positioning and

competitor positioning2. Understand how consumers and key

influencers use social media in the industry3. Understand key characteristics of the

conversations: regional, demographic, new markets

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Page 31: Salondu bi nexalogy

search design: number of queries goes up quickly: 40 queries sometime 100’s

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Your BrandYour Brand

Competitor ACompetitor A

Competitor BCompetitor B

Competitor CCompetitor C

Competitor DCompetitor D

Issue AIssue A

Issue BIssue B

Issue CIssue C

Issue DIssue D

Issue EIssue E

Issue FIssue F

Issue GIssue G

Issue HIssue H

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work process

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SM data quality is an issue …

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Twitter: 50% of brand followers are bots

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Or in some cases over 90 %…

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Interest graph used to filter out…

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Data cleaning: tools are a must

• 95 000 blog posts over 3 years with keywords

• Immense use of content farms by competitors

• Only 5000 blogs were not part of content farms

• Only 1500 blog posts were high value for the client

That is only 1.5% !!! Signal to noise ratio!

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social media intelligence

Monitoring Intelligence

Engagement Insights

Single items Interest Graphs

Operational tactic Strategic decision making

Reacting in the present Planning for the future

Lists Communities and Networks

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conversation timelines

• Look for patterns and trends– Seasonality

• Understand what drives peaks• Comparisons

– By topic/issue– By competitor– By campaigns

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Lexical map/Interest graphCharacteristics

Style

Safety and Stereotypes

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typology

Neophyte

Negative

Professionel

Positive

• Groups publishers• Understand by interest• Guide strategic planning• Content development

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publisher scoring

• Human analysis• Hand coded• Reading the blogs is key!• Scored based on client input• Percentage representation of all data

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Results:

1. Understood brand positioning and competitor positioning: key for entry into the US market

2. Found 2 new distinct market opportunities 3. Discovered which characteristics consumers

appreciated about the products4. Much cheaper, faster and measurable than

conventional methods…

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