Maximizing the value of information
for competitive advantage
IVI Autumn Summit 2013
September 24-25, Croke Park, Dublin
T...
Focus on:
 Emerging forces behind Big Data
 Business questions to answer
 Defining a need over an ability
 Value-added...
Grounding - Why all this data?
 Consumer accessibility and demand
 Digital interaction - contribution capability
 LoMoS...
Challenge 1: Where do we put it?
 DW consolidation - we ran out of space or people
 Governance and privacy became key
 ...
Challenge 2: How do we process it?
 Unified reporting - users got tired of differences
 "I wanna see" - driven by the cu...
Some open questions…
 What is true "demand" vs "growth"? rational
 Are we analysing or reporting? intelligence
 Is data...
What’s needed?
 Data life-cycle review
 Transformation: data + context = knowledge
 Context generation (tagging, gamifi...
8Maximizing the value of information for competitive advantage
The opportunity – knowledge to take action
 Partnering wit...
Key takeaways
 Big data is not just a technical problem
 Turning data to knowledge requires context
 Value through outc...
Nowadays, buzzwords such as LoMoSo, Consumerisation and Web 2.0 are
redefining the digital landscape through massive data ...
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eBay Competitive Information Value 2013

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eBay Competitive Information Value 2013

  1. 1. Maximizing the value of information for competitive advantage IVI Autumn Summit 2013 September 24-25, Croke Park, Dublin Thomas Reby Head of Knowledge Management
  2. 2. Focus on:  Emerging forces behind Big Data  Business questions to answer  Defining a need over an ability  Value-added role for the CIO 2Maximizing the value of information for competitive advantage
  3. 3. Grounding - Why all this data?  Consumer accessibility and demand  Digital interaction - contribution capability  LoMoSo - location-based, mobile, social  ”Add Comment” is expected… 3Maximizing the value of information for competitive advantage
  4. 4. Challenge 1: Where do we put it?  DW consolidation - we ran out of space or people  Governance and privacy became key  Globalization - apples to apples  "Eternal migration"  Technical problem to solve 4Maximizing the value of information for competitive advantage
  5. 5. Challenge 2: How do we process it?  Unified reporting - users got tired of differences  "I wanna see" - driven by the customer viewpoint  Sizing limitations - first technical, then human  Still a technical problem to solve 5Maximizing the value of information for competitive advantage
  6. 6. Some open questions…  What is true "demand" vs "growth"? rational  Are we analysing or reporting? intelligence  Is data bigger than the user focus area? holistic  Do we have the context? human science  Is it worth it? accountable 6Maximizing the value of information for competitive advantage
  7. 7. What’s needed?  Data life-cycle review  Transformation: data + context = knowledge  Context generation (tagging, gamification, culture)  Linking: tie explicit resources to business outcome 7Maximizing the value of information for competitive advantage
  8. 8. 8Maximizing the value of information for competitive advantage The opportunity – knowledge to take action  Partnering with “the business” – The Data Lab  Rationalization is a great excuse for critical Q’s  Extra-departmental datasets have wow-factor  Data science coupled with business development
  9. 9. Key takeaways  Big data is not just a technical problem  Turning data to knowledge requires context  Value through outcome (think like an owner)  Filling the science gap is critical  What’s the profit in your P&L? 9Maximizing the value of information for competitive advantage
  10. 10. Nowadays, buzzwords such as LoMoSo, Consumerisation and Web 2.0 are redefining the digital landscape through massive data generation and a key question is emerging: What do we do with all this information? First, the challenge was to store it. The answer to that came by innovative solutions deployed to manage data in centres scalable well beyond what “conventional thinking” would have imagined 10 years ago. Enter the clouds, virtualization and other technologies aiding the mission of stockpiling data. Second, the challenge is to process it. And again, pioneering solutions are being developed to analyse, model and visualize it. Witness the arrival of Big Data – a challenge that is still keeping us busy. But we may be missing a point. Stored and processed information is not knowledge. It lacks context. And actionable knowledge is what we (and our customers) need to be successful. This might be the challenge for the remodelled CIO. Thomas Reby www.linkedin.com/in/thomasreby Head of Knowledge Management eBay Inc Maximizing the value of information for competitive advantage 10

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