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![“Analytics is about impact…In our company [Zynga],
if you have brilliant insight and you did great research
and no one changes, you get zero credit.”
Ken Rudin
Google](https://image.slidesharecdn.com/carlandersonddometis-161208034811/75/Creating-a-Data-Driven-Organization-thisismetis-meetup-14-2048.jpg)
![“Analytics is about impact…In our company [Zynga],
if you have brilliant insight and you did great research
and no one changes, you get zero credit.”
Ken Rudin
Google](https://crownmelresort.com/image.slidesharecdn.com/carlandersonddometis-161208034811/75/Creating-a-Data-Driven-Organization-thisismetis-meetup-14-2048.jpg)
Uploaded byCarl Anderson
Creating a Data-Driven Organization -- thisismetis meetup
The document discusses the importance of building a data-driven organization and the cultural and strategic elements necessary for successful implementation. It emphasizes not just having data but cultivating an environment where data is analyzed, shared, and informs decision-making. Key components include fostering a data culture, ensuring data quality, and promoting broad data literacy among all employees.
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Creating a Data-Driven Organization -- thisismetis meetup
- 1. Creating a Data-Driven Organization CarlAnderson @leapingllamas
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- 4. 5%more productive Controlling forother factors, data-driven orgs are Brynjolfsson, et al 2011. Strength in numbers: how does data-driven decisonmaking affect firm performance? Social Science Research Network http://bit.ly/1dg896Y
- 5. $13/ $1 invested Analyticspays back Nucleus Research. 2014. http://bit.ly/XQFDbv
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- 7. Having lots ofreports does not make you data-driven.
- 8. Having lots ofdashboards does not make you data-driven.
- 9. Having lots ofalerts does not make you data-driven.
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- 11. Data-driven: you musthave analytics Reporting Analysis Descriptive Prescriptive What? Why? Backward-looking Forward-looking Raise questions Answer questions Data → Information Data + Information → insights Reports, dashboards, alerts Findings, Recommendation No context story telling
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- 13. Analytics Value Chain Figurefrom http://adobe.ly/1HLJKGk
- 14. “Analytics is aboutimpact…In our company [Zynga], if you have brilliant insight and you did great research and no one changes, you get zero credit.” Ken Rudin Google
- 15. Train analysts tobe business savvy 2013 Strata+Hadoop talk: https://www.youtube.com/watch?v=RJFwsZwTBgg
- 16. Having a hadoopcluster does not make you data-driven.
- 18. Leverage data asa strategic asset.
- 19. Data-driven requires adata culture
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- 21. a strong testingculture Being data-driven means having… Innovate through online and offline experimentation. Encourage hypothesis generation broadly across org.
- 22. “you get surprisesmore often, and surprises are a key source of innovation. You only get a surprise when you are trying something and the result is different than you expected, so the sooner you run the experiment, the sooner you are likely to find a surprise, and the surprise is the market speaking to you, telling you something you didn’t know.” Scott Cook Intuit Baer, D. 2013. Why Intuit founder Scott Cook want you to stop listening to your boss. Fast Company
- 23. Optimize for RightThing
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- 26. an open, sharingculture Being data-driven means having… No data hoarding or silos. Bring data together to create rich contexts. Connect the dots.
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- 35. 1/3 business leaders frequentlymake decisions with data that they cannot trust Business Analytics and Optimization for the Intelligent Enterprise. IBM. http://ibm.co/1LR2pCr Invest in data quality
- 36. a self serviceculture Being data-driven means having… Business units have necessary data access as well as within- team analytical skills to drive insights, actions, and impact.
- 37. Traits of greatanalysts • Numerate • Detail-oriented • Skeptical • Confident • Curious • Communicators • Data lovers • Business savvy Few, S. 2009. Now You See It. Analytics Press, Oakland has a good discussion of this topic, pp. 19–24.
- 38. Hiring not justas individuals but to complement team Nordstrom data lab (as of Strata 2013)
- 39. a broad dataliteracy Being data-driven means having… All decision-makers have appropriate skills to use and interpret data.
- 40. Analysts must sell,sell, sell their product
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- 42. a goals firstapproach. Being data-driven means having… Set out metrics before experiment. What does success mean? Have an analysis plan. Prevent gaming the system.
- 43. an objective, inquisitiveculture Being data-driven means having… ‘“Do you have data to back that up?” should be a question that no one is afraid to ask and everyone is prepared to answer’—Julie Arsenault.
- 44. a visible, clearly-articulatedstrategy Being data-driven means having… Commonly understood vision. Suite of well-designed, accessible KPIs. All staff understand how their work ties back to these metrics.
- 45. strong data leadership Beingdata-driven means having… A head of data to evangelize data as strategic asset with budget, team, and influence to drive cultural change.
- 46. Which strategies haveproved successful in promoting a data-driven culture in your organization? Strategy % of respondents Top-down guidance and / or mandates from execs 49 Promotion of data-sharing practices 48 Increased availability of training in data analytics 40 Communication of the benefits of data-driven decision-making 40 Recruitment of additional data analysts 17 2013. Fostering a data-driven culture. Economist Intelligence Unit. http://bit.ly/1MeGoN8
- 47. but bottom uptoo Change should not just be top-down Everyone in org has role and responsibility through “leveling up” their data skills, mutual mentoring, and embedding data into their processes.
- 48. 2014 O’Reilly DataScience Salary Survey Learn and you shall receive
- 49. blindly following data. Beingdata-driven doesn’t mean Augment decision makers with objective, trustworthy, and relevant data.
- 52. using data toeffect impact and results Ultimately, data-driven means Push data through “analytics value chain” from collection, analysis, decisions, action, and finally to impact. Partway along chain doesn’t count.
- 53. Example actions • Analystcompetency matrix • Raise bar for new analyst hires • Vision statement: data culture • Stats for managers class • Mentor / train analysts to improve skills such as stats, SQL • Mentoring staff in experimental design • Democratizing data access through BI tools • Push on ROI, tie back to strategic objectives
- 54. Don’t get complacent! “Withthe exception of, say, an Amazon, no global store chain was thought to have demonstrably keener data-driven insight into customer loyalty and behavior”
- 55. Tesco Today • Tescostock rated as junk • Shedding 9000 jobs • Closing 43 stores • $9.6B loss for 2014 fiscal year ($33Bn debt) • Tried and failed to sell Dunhumby, their analytics gem • Warren Buffett: “I made a mistake on Tesco”
- 56. Data Organization Decision Making People Data Leadership Culture Analyticsorg: composition, skills, training Data quality, data management Embedded, federated analytics Testing mindset, fact-based, anti-HiPPO Chief Data Officer / Chief Analytics Officer Collaborative, inclusive, open, inquisitive Summary
- 57. Bake in data-drivenculture early!
- 58. 1. What isData-Driven? 2. Data Quality 3. Data Collection 4. Analyst Org 5. Data Analysis 6. Metric Design 7. Story Telling 8. A/B Testing 9. Decision Making 10. Data-Driven Culture 11. Data-Driven C-suite 12. Privacy, Ethics 13. Conclusions Copyright © 2015 Carl Anderson
- 59. https://www.wework.com/careers We’re Hiring! Data analysts,Data scientists, Data engineers
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