Tableau Conference 2015
| title | author | length |
|---|---|---|
| LODs of Fun with Jedi Filters: Level Of Detail Calcs for Data Geeks | Bethany Lyons | 01h 01m |
Walks through concrete Tableau recipes using LOD expressions to solve real problems: detect customers with >6% discount by aggregating fixed LOD at customer… | ||
| Drive: Building a Culture of Analytics | Anthony Krinsky | 59m |
Explains the Drive framework as a four‑step plan — discovery, prototyping, foundation building, scale — and gives concrete fixes: right‑sized extracts (250… | ||
| Big_Data_Meets_Digital_Advertising | Brian Donaldson | 01h 07m |
Ad network moves backend to AWS, processes logs with Hadoop/Pig/MapReduce and stores aggregates in Redshift views, then layers Tableau (benefiting from Tableau… | ||
| Disney's Marketing Data Visualization | Vijay Price | 38m |
Built a central MEDS marketing effectiveness data store that ingests about 8 million records a week into Teradata, runs ETL and regression in SAS, and surfaces… | ||
| Moving_at_Lightspeed_How_Hootsuite | Andrew Clements | 51m |
Company migrates from RJMetrics/GoodData to Tableau and moves hosting and ETL in-house, claiming to migrated from GoodData in 30 days. ETL runs as Python jobs… | ||
| Reducing_Labor_Pain_at_Piedmont | Alex Koutsos | 01h 00m |
Piedmont builds interactive Tableau dashboards that pull payroll, HR and charge data to show actual hours, volume-adjusted FTE variance and hires/terms; that… | ||
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