eMetrics Boston 2014 - Analytics Hygiene II
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A more visual representation of the analytics hygiene presentation! These are slides to go along with my thoughts around non-human entities, being a non-human entity, monitoring, the secondary system of record, abstracting reports from data/tools, data layers, and building things to solve pain points.
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eMetrics Boston 2014 - Analytics Hygiene II
- 1. Hi, I’m todd ( @toddmetrics )
- 2. Hi, I’m todd I’m a digital analytics manager / generanalyst.
- 3. talkin’ about: ① Safety ② Abstraction ① Building (things)
- 4. What about Analytics Hygiene? What of those diseased reports, stinky processes, and rotten data? The principles are embedded within. The goal is always to improve and prevent.
- 5. wait what? The principles are embedded within. The goal is always to improve and prevent.
- 6. wait what? Good Stuff Bad Stuff • Trust in data and analyses • Spending time on actionables, improvements, prevention • Collaborative analytics environment (involvement, participation, inquiry) • +$ … • Misinterpretations of data • Treading water • Stagnating analytics environment (ignorance, repetition, degrading in quality) • -$ …
- 7. ① Safety “Safety will be an indicator that we’re making progress in changing our habits across the entire institution.” --Paul O’Neill, former CEO, Alcoa via Charles Duhigg, The Power of Habits flickr/alvarogalve
- 8. ① Safety protect yourself from non human entities
- 9. ① Safety flickr/alvarogalve #measure for conversions and quality
- 10. ① Safety flickr/alvarogalve #measure for conversions and quality
- 11. ① Safety flickr/alvarogalve www.slideshare.net/ToddBelcher
- 12. ① Safety
- 13. ① Safety
- 14. ① Safety
- 15. ① Safety
- 16. ① Safety
- 17. ? the secondary system of record ① Safety
- 18. ① Safety
- 19. ② Abstraction “the process of considering something independently of its associations, attributes, or concrete accompaniments” -”Google”
- 20. ② Abstraction
- 21. ② Abstraction
- 22. ② Abstraction
- 23. ③ Building “I don’t think we should be so risk averse.” --Matt Gershoff, CEO of Conductrics via eMetrics Boston 2014 (Monday!)
- 24. ③ Building
- 25. ③ Building Meta data entry point User Marketing automation / MDB Testing Log / datastore
- 26. ③ Building
- 27. ③ Building
- 28. ③ Building
Editor's Notes
- What are the stories in each of these sections? non-humans, being a non-human, and secondary systems of record. data layers and tag management, reporting layer tracking URLs, cloud connectors, and monitoring for data collection / processing issues
- Safety… protection against bad stuff. Increasing likelihood of good stuff.
- Safety at the implementation level versus safety at the reporting / processing level…
- Data layers – abstracts analytics code to a common language for marketing, developers, QA, etc…
- Use cases: Data collection Alerting Notifications Alerting Notifications Alerting and notifications Etc.
- Insight Rocket – an example of better abnormality detection in action.