Category: Location Analytics
by Lucy Guerra
Last week, Esri released a new geocoding and data appending product called Address Coder. Address Coder represents the latest release of the product formerly known as Community Coder.
Address Coder has two primary applications: geocoding, to better understand where an organization’s members/customers are coming from, where they aren’t coming from and why; and data enrichment with demographic and Tapestry data for the purpose of learning more about the surrounding area of each address. Summaries of this data allow organizations to better understand who their members/customers are, how to best approach them in marketing applications, and how to find more of them.
Built with ArcGIS Engine and using ESRI’s geocoding locator technology, Address Coder provides high quality geocoding and data appending capabilities.
Address Coder includes ESRI’s 2008 Updated Demographic data that can be appended to address records. It also has two optional add-ons – Esri Tapestry Segmentation data at the Block Group or ZIP+4 geography levels. For more information, see www.esri.com/coder.
by Michael Scofield
According to the Census Bureau, population totals reflect the total number of persons residing in an area of standard geography. This figure includes citizens and non-citizens. The Census count strives to include illegal aliens (if they are living here) even if they are not specifically identified as such.
The primary criteria for being counted by the U.S. Census Bureau is being a permanent resident the area being enumerated.
Not all U.S. citizens are included in the U.S. population count as shown in the sketch below.
At the time of this writing, the Census Bureau estimates the population of the U.S. to be nearly 306 million. That figure doesn’t include U.S. citizens living overseas on a more or less permanent basis.
Many forms of analysis use household population, which excludes persons in group quarters (dormitories, prisons, military barracks, etc.).
A subset of households are family households. A family is defined as a householder and one or more persons related by birth, marriage, or adoption. Other, unrelated persons may live in the household, but they are not counted as part of the family for census tabulations.
So when you see or use a population statistic, you want to clearly understand what categories of people are included.
by Kyle Watson
We’ve added a couple new report related features to ArcGIS Business Analyst 9.3 to speed up your workflows.
(1) Create a map book
Think if you had 50 franchise locations and needed a map of each…in an hour…how would you do this? At 9.3 we’ve added the ability to quickly create a series of maps. If you have multiple trade areas, you can instantly create a map of each of them (instead of zooming and panning to each trade area, zoom, pan, export, save – zoom, pan, export, save, etc. – this is BORING and TAKES TIME). The end result is a PDF book of report style pages or individual images. Learn more here.
(2) Produce your favorite report directly from the Project Explorer
Instead of having to open the Business Analyst menu and drill down to the Reports dialogs (again…BORING and TAKES TIME), you can simply produce a demographic report with one right-click. With the Project Explorer open, just right-click on a trade area and select Create Report. That’s it. Your favorite demographic report is instantly created all the while bypassing the Business Analyst menu. Learn more here.
Still thirsty for more? Then watch your humble blogger explain these in more detail here:
by Garry Burgess
I had a request over the New Year’s holiday to create a custom tool to batch create reports for a trade area layer. The idea behind this custom tool is to create an individual report for each feature in a trade area layer. For example, an analyst creates a separate demographic trade area report for each of their N number of stores. The reports would then be sent out to each store so that the management team could get a demographic snapshot of the households around their stores.
Because each report needed to be sent out to a manager after it was created, I thought it would be very useful to integrate email with the custom tool. In this example, I use Python to connect to Outlook-based MAPI email to mail each report to an email address included in the trade area layer. This is a really good illustration of how ArcGIS Business Analyst tools can be used to improve productivity using Python scripts. I tested this with a sample of 50 stores and was able to generate and email reports to 50 email addresses in a few minutes.
You can download the Python script and custom Geoprocessing tool here:
Follow the instructions in the readme.txt file and you will have a brand new fancy-schmancy tool that looks like this:
Check out the BatchTradeAreaRpt.py script to see how Business Analyst Geoprocessing tools can be scripted with Python.
This is my first Business Analyst Blog entry. I will continue to add samples like these that illustrate how you can get the most out of Business Analyst. Let me know if you find this sample useful and I would greatly welcome any ideas for other samples in the future.
Cheers – Garry
With all of our attention on the upcoming Super Bowl, there are so many questions that we want answered – Who are you cheering for? Which team will win? Or my favorite question, what company will have the best commercial this year? But the age old question that haunts NFL fans is – Which team has the best fan base? Thankfully, Esri Data can reveal very interesting facts about NFL fans across the country.
The Esri Market Potential Data measures the likely demand for a product or service in a defined geographic area. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. An MPI compares the demand for a specific product or service in an area to the national demand for that product or service.
The MPI for an adult to watch a professional football game on television on the weekend in the Pittsburgh, PA metropolitan area is 108, or 8 percent higher than the U.S. average. The MPI in the Phoenix, AZ metropolitan area is 103 – still higher than the U.S. average, but not as high as Pittsburgh.
Watching the game on television is one thing…attending a game is another story. The MPI for adults to attend professional football games on the weekend in the Phoenix metro area is 113, compared to 99 in the Pittsburgh metro area. Therefore, it appears that people in Pittsburgh are highly likely to watch the game on television, but less likely than Phoenix residents to attend a professional game.
So, it appears that the debate over fan loyalty will continue and we can just hope that the game (…and the commercials) this weekend will be exciting. For more information about Esri Market Potential Data please visit – http://www.esri.com/data/esri_data/market-potential.html
by Bob Hazelton
After more than a few late nights the Business Analyst Server team delivered DVDs to our manufacturing group just before the end of the year. We are anticipating that we will have the product in boxes to be shipped out to all of our friends during the week of January 26th.
Here are some highlights of the 9.3 release:
Stateless application objects - support more simultaneous users with lower CPU and RAM resource consumption.
Integration and Custom Development – the SOAP API has been updated and there is a new REST API.
API Example code – provides a complete set of calls to illustrate the usage of the particular method as well as showing the context to other methods.
Custom task/task list – create custom functionality to extend the Task list.
New Trade Area types - Two new ways of evaluating and exploring the area that your business operates in have been added, Grids and Standard Levels of Geography.
New Analyses - understanding your existing sites and customers is easier with the addition of two new analyses types, Customer Profiling & Prospecting and Find Similar.
New Reports - several reports have been added such as Customer Demographic profile, Benchmark report and the Executive Summary.
New data - 2008 Data Update
Welcome to the Esri Business Analyst product blog, your source for the inside scoop from the Esri Business Analyst product team. Our intent for this blog is to keep you informed on what we’re working on and how to get the most value out of the Business Analyst suite of products.
We will cover all of the products including Esri Business Analyst desktop, its Segmentation Module, Esri Business Analyst Server, Business Analyst Online and the Business Analyst Online Apis. We’ll also be talking about Esri Data (business, consumer, demographic and lifestyle) that underpins everything we provide. All the members of our Product Management and Product Engineering teams, as well as key development and support staff will contribute to this blog.
Questions & comments will always be welcome – so let us know what you’re thinking or where you’d like more help!
The Esri Business Analyst Team