6:00 the cycle decentralized to centralized and back 10: 00 initial hires 20:00 4 categories of business value and department matrix 26:00 more data source - more data consumers - data-driven culture- more dashboards- more complexity- can I trust this data DATA TRUST 28: 00 data team who is accountable?: passing on the ball to --- data scientist, data analyst, business analyst. 29:00 measure ... NPS : 30:00 measure .. time spent when data is wrong/ error. data downtime. 30:30 monitor, test, stage ( automation of data pipeline) ??? 32:00 data-driven product - data scientist report to product manager when data becoming company-wide, report to chief data office 34:00 shortest cycle between the product team and data: one step to data reaches the product. closest to what it is impacting. impact priorities. work on impactful things. Endnotes: where data team lives - there will be the maximum impact. other will suffer as they won't get imp[act from data. Data as Site Reliability Engineering: Dev ops -- engineering, Sec ops - engineering, Data ops -- data teams
6:00 the cycle decentralized to centralized and back
10: 00 initial hires
20:00 4 categories of business value and department matrix
26:00 more data source - more data consumers - data-driven culture- more dashboards- more complexity- can I trust this data
DATA TRUST
28: 00 data team who is accountable?: passing on the ball to --- data scientist, data analyst, business analyst.
29:00 measure ... NPS :
30:00 measure .. time spent when data is wrong/ error. data downtime.
30:30 monitor, test, stage ( automation of data pipeline) ???
32:00 data-driven product - data scientist report to product manager
when data becoming company-wide, report to chief data office
34:00 shortest cycle between the product team and data: one step to data reaches the product. closest to what it is impacting. impact priorities. work on impactful things.
Endnotes:
where data team lives - there will be the maximum impact. other will suffer as they won't get imp[act from data.
Data as Site Reliability Engineering: Dev ops -- engineering, Sec ops - engineering, Data ops -- data teams