Tag: Esri Data
by Catherine Spisszak
Valentine’s Day is quickly approaching. Whether you choose to participate or not, there is no denying that Valentine’s Day spurs the demand for romantic gifts such as roses, boxed chocolates, champagne and even diamonds. In 2008, over 47 million people purchased boxed chocolates in six months alone. Almost 18 million Americans bought diamond jewelry in 2008 and over 9 million ordered flowers over the internet.
Esri Data can reveal very interesting facts about the market for Valentine’s Day gifts across the country. The Esri Consumer Spending Data includes total expenditures, average spending per household, and a Spending Potential Index to reveal trends in spending patterns in this changing economy.
The Chevy Chase area in Maryland appears to be one of the more romantic areas in the country. This area has the highest Spending Potential Index for indoor plants and fresh flowers and jewelry. Households in that area spent $329 on average on indoor plants and fresh flowers and over $900 on jewelry in 2008.
The Esri Market Potential data includes a Market Potential Index (MPI) that compares the demand for a specific product or service in an area to the national demand. Rose Valley Borough, Pennsylvania has an MPI of 238 for ordering flowers on Internet in the last twelve months, 138% above the national average! Sweet Home City, Oregon fell below the national average with an MPI of 81 for purchasing boxed chocolates in last 6 months. And finally, in Round Rock, Texas the MPI for buying diamond jewelry in last 12 months is 120, 20% above the national average.
So for those men out there that are spoken for, let this serve as your reminder that Valentine’s Day is this weekend. And, to find out what other goods and services are represented in the Esri Consumer Spending and Market Potential databases, please visit http://www.esri.com/data/esri_data/index.html.
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