Data-driven Rings

You can generate data-driven rings in store market analysis. The size of the ring is determined by some numeric value in the store data, such as sales or store size (square feet). For health care, for example, it could be the number of hospital beds, while for media it might be signal strength of radio stations. The greater the data value, the larger the size of the ring. This analysis is primarily used to look at your competition, but it can also be used to analyze potential new locations.

A shopping mall with 1,000,000 square feet should be able to attract customers over a greater distance than one with 250,000 square feet. Data-driven rings can give an analyst a rough idea of the drawing radius of shopping centers. The estimated population can determine whether the center's service area meets a certain threshold population required for a business. Other examples of data-driven rings include the following:

• The developer of small shopping centers uses rings based on gross leasable area (GLA) to analyze the effects of competing centers.
• Store managers can use rings driven by total sales to justify higher real estate costs in larger power centers.

Data-driven rings can be created around your stores when you specify a value in the store data. This value is set equal to a distance, and the rings are calculated in this way.

This is typically used to create radius trade areas for competitors so a store owner can see if a store is being cannibalized. It can also be used to look for gaps in the market area.

To determine what value you want to use, choose the field that determines the size of the trade area. If you already know what value you want to use, type it in the text box. If you aren't sure what value you want to use, click Field statistic. The minimum, maximum, and mean values appear on the left side of the wizard.

If you choose your stores' total sales field and specify $100,000, for example, to be proportional to a one-mile ring, then a store with $200,000 in sales will have a two-mile ring, a store with $750,000 will have a 7.5-mile ring, and so on. This task guides you through this process.

Learn more about Data-driven Rings.

手順:

1. Click the Business Analyst drop-down menu and click Trade Area.

   The Trade Area wizard opens.

2. Click Create New Trade Area and click Next.
3. Click No Customer Data Required as the type of trade area you want to create and click Next.
4. Determine how to create the trade area, click Data Driven Rings, then click Next.
5. Click the drop-down menu and click the layer that contains your stores. Click the second drop-down menu and click the field that contains the store ID.
6. Determine how many stores you want to use by clicking All stores, Selected stores, or Single store. If you choose Single store, click By ID or By name and choose an option from the respective drop-down menu. Click Next.
7. Click the drop-down menu and click Which field determines the size of the trade area, then type a number in the What value in this field is proportional to one distance unit? text box.
8. Click the Distance Units drop-down menu and choose a distance unit from the list, then click Next.
9. Type a name for the new trade area in the text box, type any comments, then click Finish.

Your new trade area is created and displayed on the map.

ヒント:

To further calculate statistics for data-driven rings, click Advanced to have Business Analyst alter the dependencies on the value that determines the size of the trade area. You can use polynomial dependency instead of the linear approach. By default, the relationship between the size field you select is linear. You can use the Advanced setting to equalize the relationship between the size field and the area. For instance, the area of the ring can be shown proportional to gross leasable area.