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	<title>Comments on: Geo-map all your database families</title>
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	<link>http://www.insidenspire.com/2009/06/29/geo-map-all-your-database-families</link>
	<description>Our Thoughts about Nspire, Church Management Software &#38; Ministry</description>
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		<title>By: Brandon Gross</title>
		<link>http://www.insidenspire.com/2009/06/29/geo-map-all-your-database-families/comment-page-1#comment-8072</link>
		<dc:creator>Brandon Gross</dc:creator>
		<pubDate>Mon, 10 Aug 2009 17:15:02 +0000</pubDate>
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		<description>Dave, No problem, you make perfect sense. We have been talking about this around the office. We have a few ideas we&#039;ve tossed. I&#039;ll let you know more as progress continues. Thanks for your incite and AWESOME blog articles.</description>
		<content:encoded><![CDATA[<p>Dave, No problem, you make perfect sense. We have been talking about this around the office. We have a few ideas we&#8217;ve tossed. I&#8217;ll let you know more as progress continues. Thanks for your incite and AWESOME blog articles.</p>
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		<title>By: uthpastordave</title>
		<link>http://www.insidenspire.com/2009/06/29/geo-map-all-your-database-families/comment-page-1#comment-8060</link>
		<dc:creator>uthpastordave</dc:creator>
		<pubDate>Thu, 06 Aug 2009 19:20:09 +0000</pubDate>
		<guid isPermaLink="false">http://www.insidenspire.com/?p=205#comment-8060</guid>
		<description>We name households by LastName, Head of Household.  Ex:  Hirschler, Dave  

We have missionaries, denominational leaders, etc. in our database.  So, I would like to query an attendance event (where we actually track people who attend), or -- we query a demographic (which is done as individuals -- but then consolidate the query to eliminate any duplicate members who live in the same household)  Did that make any sense?

This fall we have a HUGE evangelistic outreach being hosted by 30-40 area churches.  We will have 100 performing missionaries converging our our community for a couple of weeks and they will need housing.  I would love to be able to query all members who have the gift of hospitality, but then geomap them so that I can find the ones who live closest to the ministry venue, as opposed from the furthest end of the county.  I might have 5 people in the same household with the gift of hospitality.  I don&#039;t want to have them show up 5 times on the geomap, I just want to see the ONE household.  Since households don&#039;t have that demographic, I have to do an individual query.  I would like to narrow it down (like I can do with labels and remove duplicates from the same household) before I send the data out to be geomapped.

I hope this makes sense.  It does in my head, but my head works differently than most people&#039;s (which is good for everyone but me :D)</description>
		<content:encoded><![CDATA[<p>We name households by LastName, Head of Household.  Ex:  Hirschler, Dave  </p>
<p>We have missionaries, denominational leaders, etc. in our database.  So, I would like to query an attendance event (where we actually track people who attend), or &#8212; we query a demographic (which is done as individuals &#8212; but then consolidate the query to eliminate any duplicate members who live in the same household)  Did that make any sense?</p>
<p>This fall we have a HUGE evangelistic outreach being hosted by 30-40 area churches.  We will have 100 performing missionaries converging our our community for a couple of weeks and they will need housing.  I would love to be able to query all members who have the gift of hospitality, but then geomap them so that I can find the ones who live closest to the ministry venue, as opposed from the furthest end of the county.  I might have 5 people in the same household with the gift of hospitality.  I don&#8217;t want to have them show up 5 times on the geomap, I just want to see the ONE household.  Since households don&#8217;t have that demographic, I have to do an individual query.  I would like to narrow it down (like I can do with labels and remove duplicates from the same household) before I send the data out to be geomapped.</p>
<p>I hope this makes sense.  It does in my head, but my head works differently than most people&#8217;s (which is good for everyone but me <img src='http://www.insidenspire.com/wp-includes/images/smilies/icon_biggrin.gif' alt=':D' class='wp-smiley' /> )</p>
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		<title>By: Brandon Gross</title>
		<link>http://www.insidenspire.com/2009/06/29/geo-map-all-your-database-families/comment-page-1#comment-8040</link>
		<dc:creator>Brandon Gross</dc:creator>
		<pubDate>Fri, 24 Jul 2009 14:25:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.insidenspire.com/?p=205#comment-8040</guid>
		<description>Dave, a couple questions come to mind initially. 1. How are you naming your households? (is the naming like Johnson1, Johnson2 or like Frank and Mary, Johnson and Tony and Lynn, Johnson)

We recommend naming households in the format such as &quot;Frank and Mary, Johnson&quot; since this helps to eliminate duplicate households down the road. As for now, you have a bunch of households with some duplicates already in there. 

If I understand your question right, you are saying you can see the duplicate individuals easier than the duplicate households. I would like to have support contact you to see about finding a solution to this. I&#039;m going to create a support ticket for you now and you should be contacted soon. 

Thanks Dave!</description>
		<content:encoded><![CDATA[<p>Dave, a couple questions come to mind initially. 1. How are you naming your households? (is the naming like Johnson1, Johnson2 or like Frank and Mary, Johnson and Tony and Lynn, Johnson)</p>
<p>We recommend naming households in the format such as &#8220;Frank and Mary, Johnson&#8221; since this helps to eliminate duplicate households down the road. As for now, you have a bunch of households with some duplicates already in there. </p>
<p>If I understand your question right, you are saying you can see the duplicate individuals easier than the duplicate households. I would like to have support contact you to see about finding a solution to this. I&#8217;m going to create a support ticket for you now and you should be contacted soon. </p>
<p>Thanks Dave!</p>
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		<title>By: uthpastordave</title>
		<link>http://www.insidenspire.com/2009/06/29/geo-map-all-your-database-families/comment-page-1#comment-8017</link>
		<dc:creator>uthpastordave</dc:creator>
		<pubDate>Wed, 22 Jul 2009 19:35:50 +0000</pubDate>
		<guid isPermaLink="false">http://www.insidenspire.com/?p=205#comment-8017</guid>
		<description>Cool stuff -- got a question -- is there a way to do an individuals query that takes out duplicates (like you do when printing labels)?  We have a TON of households that we can&#039;t easily remove due to inactivity -- we can quickly weed them out in the individuals screen...  but can&#039;t get rid of duplicates in the household to pare down the list.

I think this would be phenomenal when trying to put together small home groups.  We&#039;re in the process of gearing up for the fall -- would be cool to identify people who have the gift of hospitality that live in a certain area where we have higher concentrations of member households.

Am I missing something obvious, or have I asked for yet another thing that isn&#039;t in the software yet?  (Sorry, Bart, I really don&#039;t sit around dreaming up ways to make more work for you!  Look at it this way, I&#039;m creating job security for you!)</description>
		<content:encoded><![CDATA[<p>Cool stuff &#8212; got a question &#8212; is there a way to do an individuals query that takes out duplicates (like you do when printing labels)?  We have a TON of households that we can&#8217;t easily remove due to inactivity &#8212; we can quickly weed them out in the individuals screen&#8230;  but can&#8217;t get rid of duplicates in the household to pare down the list.</p>
<p>I think this would be phenomenal when trying to put together small home groups.  We&#8217;re in the process of gearing up for the fall &#8212; would be cool to identify people who have the gift of hospitality that live in a certain area where we have higher concentrations of member households.</p>
<p>Am I missing something obvious, or have I asked for yet another thing that isn&#8217;t in the software yet?  (Sorry, Bart, I really don&#8217;t sit around dreaming up ways to make more work for you!  Look at it this way, I&#8217;m creating job security for you!)</p>
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