Defrag: Pulling the Threads on User Data

Pulling the Threads on User Data @danielabarbosa Defrag Denver http://defragcon.com/2008/ Nov 4 th 2008

Professional

Evangelist

A Social Creature

I am no different then you

Web 1.0 Document Web

Web 2.0 Social Web

The Next Web Personal Web (but who I am?)

The ability to connect to, control, share and remix your data between trusted applications

We want this: Image: http://www.flickr.com/photos/qusic/370794788/qusic

We have this: Image: http://www.flickr.com/photos/nicmcphee/22015649 /

We forget about this: Image: http://www.flickr.com/photos/chatiryworld/540596034/

Getting Overload Information Overload Relevancy Overload What’s important to me right now

Powering Tomorrow’s ‘Instant Knowledge’
Aggregation of multiple content types
Globalization- Technology innovation
Visualization of information
Semantic Web – Linked Data - Open
Social Relationships
Mobility- “ Life Devices”

Threads: From Aggregator >> User >> Prosumer Traditional Aggregator Translates and adds metadata to an article User 1 Adds meaning by extending description of existing metadata or adding new metadata User 2 Adds meaning by further extending or adding to existing metadata Next-Gen Aggregator Combines metadata applied by communities of users Shared Meaning Analyzes shared metadata applied by communities of users

Threads: Information, People, and Connections News Commentary Analysis The Discussion Actions Prioritized Event External - Wires, Press, Web/Blogs Analyst Reports, Fundamentals, Gov. Internal, Experts, Market, Competitive Who Needs? What Info? What Format? Client contact Business Development Crisis Management

Why let your User Data ‘Go’
Value of the “discussion” being public
Blogs where the first
Tags
Social Network
Microblogging
Aggregators (Friendfeed)
Ratings
Threads are more valuable with data from the outside

Is this your competitive Advantage?

Really?

For how long?

A & Qs

@danielabarbosa
[email_address]

Defrag: Pulling the Threads on User Data

by daniela barbosa on Nov 04, 2008

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Defrag: Pulling the Threads on User Data — Presentation Transcript