[Esip-esda] Next ESIP ESDA Telecon - Thursday, November 20 at 3 EST
Erin Robinson via Esip-esda
esip-esda at lists.esipfed.org
Thu Nov 20 15:00:11 EST 2014
Hi All - Here is the link to join the meeting directly:
https://esipfed.webex.com/esipfed/e.php?MTID=m5ba72671410a21eca10307f144edfeff
E
On Fri, Nov 14, 2014 at 8:22 AM, Kempler, Steven J. (GSFC-5860) via
Esip-esda <esip-esda at lists.esipfed.org> wrote:
> Hi,
>
> Hope you are well. Our next ESIP ESDA Telecon will be Thursday,
> November 20, from 3 to 4 EST.
>
>
> - WebEx: https://esipfed.webex.com/ , 23136782
> - Telecon: 1-877-668-4493, 23136782#
>
>
> *Agenda:*
>
> 1. 10 min – Recap of our last telecon on Diagnostic Analytics
>
> 2. 20 minutes – Discussion: Descriptive and Predictive Analytics (and
> expand our current Data Analytics Type Comparisons Table. For current
> table see:
> http://wiki.esipfed.org/index.php/Earth_Science_Data_Analytics/2014-10-23_Telecon
> )
>
> 3. 20 minutes – Planning ahead discussion:
>
> - Winter ESIP Meeting ESDA Planning: Sessions; Suggestions for guest
> speakers
> - Are we starting to learn enough to write a paper on the Types of Data
> Analytics Utilized in (the various phases of) Earth Science
>
> 4. 10 minutes - Open Mic – Thoughts, Ideas
>
>
> Please think about the following discussion points:
> - What Diagnostic Analytics can mean in practice, and bound our
> 'definition'.
> - Possible (or real) examples or exemplary situations
> - Issues faces in implementing/utilizing Diagnostic Analytics
> - Potential Solutions?
> - What kind of data users would utilize Diagnostic Analytics
>
> For reference:
>
> *Types of Data Analytics*
>
> *Descriptive Analytics:* You can quickly understand "what happened"
> during a given period in the past and verify if a campaign was successful
> or not based on simple parameters.
> *Diagnostic Analytics: *If you want to go deeper into the data you have
> collected from users in order to understand "Why some things happened," you
> can use … intelligence tools to get some insights.
> *Discoverative Analytics: *The use of data and analysis tools/models to
> discover information
> *Predictive Analytics: *If you can collect contextual data and correlate
> it with other user behavior datasets, as well as expand user data … you
> enter a whole new area where you can get real insights.
> *Prescriptive Analytics: *Once you get to the point where you can
> consistently analyze your data to predict what's going to happen, you are
> very close to being able to understand what you should do in order to
> maximize good outcomes and also prevent potentially bad outcomes. This is
> on the edge of innovation today, but it's attainable!
>
> Comments always welcome. More to come.
>
> Looking forward to talking with you all.
>
> Steve
>
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>
>
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