[Esip-esda] Next ESIP ESDA Telecon - Thursday, November 20 at 3 EST

[Erin Robinson via Esip-esda]

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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