Ibm presentation unlocking new insights in dark data
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This document discusses how unlocking insights from "dark data" can provide competitive advantages. It notes that only a small fraction of available data is currently used and that cognitive technologies are needed to unlock the potential in all data, including unstructured data sources like social media, IoT sensors, images and video. Specifically, it describes how visual insights from photos and video can provide customer segmentation insights and how combining diverse data sources like transactions, interactions and external events can provide a more complete understanding of customers.
Ibm presentation unlocking new insights in dark data
- 1. Unlocking New Insights in Dark Data Samson TAI IBM Distinguished Engineer Chief Technologist, IBM HK
- 2. The future world of perfectly personalized customer engagement is (almost) here…
- 3. Data that’s coming Customer records Transactional systems Predictive models Institutional expertise Operational systems News Events Geospatial Weather Social media Internet of Things Sensory data Images Video Data outside your firewall Data you possess + 3 + Your digital intelligence is your competitive advantage Structured and active Unstructured and dark
- 4. 4 Think of all that has been accomplished using only a fraction of the available data Unlock the possibilities. Only cognitive unlocks the potential in all data What answers lie in the 88% that is dark?1 By the year 2020, about 1.7 MB of new information will be created every second, for every human being on the planet.2
- 5. Money buys happiness when spending fits our personality 5 Personality Insight
- 6. Emotion Writing Social Matching the Brand Profile to the Consumer Profile
- 7. Insights from Video and Picture 7
- 8. Visual Insights for Customer Segmentation Extract customer demographic, emotions, and interests for target advertising and promotion https://www.youtube.com/watch?v=FETYt6_QYF4 https://visual-recognition-demo.mybluemix.net/
- 9. Extract Event Data from Photo uploaded to Social Media 9
- 10. Content Analysis of Competitors’ Advertising Visuals 10
- 11. Content Analysis of Advertising Visuals Summary 11
- 12. Gain Further Customer Insight with Location Data SHOPS by brand Likes to BROWSE BARGAIN Shopper
- 13. Engage In-Store Shoppers In Real Time
- 14. THE HEART OF THE CUSTOMER MANAGEMENT NEED TO COMBINE ALL THE DATA Demographic data Transaction data Interaction data Behavioral data Transacti ons Orders Payment history Usage history Email / Chat Call center notes Web click- streamsIn-person dialogs Opinions Prefer- ences Desires Needs Characte r-istics Demo- graphics Attribute s Purchase stage From IT System Structured Data From IT System Structured Data From Interaction Un-Structured Data From Internet Un-Structured Data Plus Data not directly related to the customer: Weather, Events, Holidays, Competitors, Politics etc.
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- 16. Thank You 16
- 17. Use Case 17