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Wednesday, February 26 • 4:30pm - 5:00pm
Blending Spatio-temporal data for effective business change management

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Data mining is the key driving process in any business world. Data is available in many forms and one such data set is spatio-temporal (ST) data, which has both spatial (Geographic) and temporal (Time) component. Spatial data is analyze on various levels like, zip codes, census tract, state, geocode, etc. Temporal data captures various data points per observation over time line. Both these dimensional data provides significant correlation and make the analysis more effective. However, we should keep an eye on the existence of autocorrelation in ST, before blending with another data set to remove bias. In this use case, we can see how using Oracle Autonomous Data Warehouse (ADW) as data source and blending the spatio-temporal data in Oracle Analytics Cloud (OAC, for visualization) gives an immense opportunity for businesses to adopt change management effectively.
Speakers
avatar for Vishwanath Venkatachalaiah

Vishwanath Venkatachalaiah

Principal Solution Engineer, Oracle
Vishwanath Venkatachalaiah works for Oracle North America Technology Solution Engineering Team. He has more than 15 years of experience in Business Intelligence and Analytics across various verticals and geographies. Worked with market leaders like, Oracle, Cisco, Citi, Polaris and... Read More →

Wednesday February 26, 2020 4:30pm - 5:00pm PST
Bldg 23- Rm 1720 .
  Business Analytics, Half Session (25 minutes) |   Artificial Intelligence and Machine Learning, Half Session (25 minutes) |   Spatial and Graph, Half Session (25 minutes)