Know Your Customer Like Never Before: Stratasan and Tapestry Segmentation

By Jason Haley

 

Know thy customer. It’s marketing and product development 101. In order to fully meet the needs of the consumers in your service area, you must first have a thorough and detailed understanding of who they are. Only then will you be equipped to grow the appropriate services lines to accurately meet their needs. And only then will you be able to target your marketing outreach to let the right consumers know about the services you have developed just for them.

 

Stratasan, through the use of Esri’s Tapestry Segmentation, is positioned to equip your hospital and health system for strategic growth and targeted consumer outreach. This post, and the related post in the series to come, will pull back the curtain, explaining how and why we are equipped to walk your team through the process of getting to know your customer like never before.

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Avoid Healthcare Map Missteps by Properly Using Legends, Titles, Scale Bars, and Sources

By Jason Haley

 

Most people who see healthcare maps every day don’t give much thought to their content and cartographic execution. Titles display the purpose of a healthcare map, scale bars display distance, sources explain where the data originated, and legends identify the attributes on a map. All of these cartographic elements combined embody the important final touches that make healthcare maps readable and useful. Cartographic elements help those looking at the map understand the various layers and data without having to concentrate, ask questions, or decipher. This is why the choices made on the final touches of healthcare maps are the most essential part of the map-making process.

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Jackpot! Why Winning the Lottery Won’t Change Our Data

by Jason Haley

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With the three big winners in last night’s lottery splitting such a large pot, the income-level demographic data for where they live will be effected. However, depending on the way you look at this effect, there will either be slight changes if any, or there will be a large change. The reason for this difference is that demographic datasets supply both mean and median household incomes.LottreryBalls_Clipped

The lottery winners provide us with a great example of why we run median household income rather than average household income. This is because using a mean generally works well for data with normal distributions while medians are generally used on data with skewed distributions. And as you can probably guess, income data is quite the skewed dataset. Since a mean is so heavily influenced by outliers, we use a median. The median value will provide the value in the middle of the data (when sorted in ascending order).

 

To illustrate this, let’s pretend that one of the lottery winner’s home ZIP code has 10,000 people. Let’s also pretend that, by some kind of freak chance, every one of these people has an income of exactly $50,000. That would mean that that ZIP code has an average and median household income of $50,000. But, the lottery winner has now changed that. With their income changing from $50,000 to somewhere around $500,000,000, the new mean household income would be $99,995 and the median income would remain $50,000.

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2015 Esri Health & Human Services GIS Conference

Last week on the blog we discussed the 2015 Esri User Conference. This week we are going to break down the second of our summer conferences the Esri Health and Human Services Conference that took place in Atlanta, Georgia earlier this month. Although it’s much smaller in size, it provides us with just as much useful information on the use of GIS in both the Public and Private healthcare spheres!

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2015 Esri User Conference Report

It’s been a busy summer for the Stratasan GIS team. Luckily, we found the time to check out the two most important Esri conferences out there to make sure we continue to bring the best Health GIS solutions to our team and to all of our customers.

The first of the two conferences was the biggest of the year: The Esri User Conference or “UC” to us GIS insiders! This conference is where Esri unveils the newest and coolest upgrades to their software, reports, and data. It has a large international crowd and usually fills the San Diego Convention center with around 20,000 people for a week in late July every year.

Below we’ll break out some of our favorite things from the ESRI User Conference:

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Healthcare Data Analytics Vendors: The Difference Between “Having Esri” & Actually Using GIS

Since its inception, Stratasan has been at the forefront of using mapping technology with the many forms of health data we use on a daily basis. Not surprisingly, our competitors have realized that consumers in the healthcare industry value maps as well. Many of the other data vendors in our industry have started using various Esri products since Stratasan arrived on the scene. These companies mention “having Esri” now, but if you look at their offerings and compare them to Stratasan’s you will quickly realize there is a BIG difference between “having Esri” and actually doing Healthcare GIS work using Esri.

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Stratasan’s Demographic Data: [The Many Reasons] Why We Use Esri

One of Stratasan’s most powerful assets is our demographic/psychographic data [Especially now that their Tapestry Segmentation was updated this year and is better than ever!]. Using this data in tandem with our state, federal, and proprietary datasets we create actionable healthcare market intelligence from the block group level to the national level. What you might not know is that this annual demographic/psychographic data comes from Esri, the market leader in both GIS software and data. Most of our customers know that we use Esri for our demographic and psychographic data, but not everyone knows why.

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