Overview of the Business Analyst Toolbox
Business Analyst tools are designed to allow users to evaluate their business applications utilizing a variety of wizard-driven, business-oriented tools. This toolbox provides advanced analysis tools and an extensive library of data from industry-leading data providers to help make better business decisions regardless of the size of an organization. The following lists the toolsets and the tools available in the Business Analyst toolbox and provides a brief description of each.
Analysis toolset: When taking an in-depth look at the characteristics of stores and/or customers, the Analysis tools allow you to identify and target your customers, locate new store locations, find potential sites based on existing premier sites, and extract business data based on custom trade areas.
Analysis toolset tools |
Description |
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Profiles the demographic attributes of customers based on a selected demographic or custom data layer that is loaded. |
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A tool designed to search for areas that contain a certain type of customer. |
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A tool designed to search for areas that contain a certain type of customer, using Principal Components Analysis. |
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Draws a series of rays from each customer to the store, like a spider diagram. |
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Scores potential sites against a known, well-performing site called a master site. |
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Creates a centroid in the mean geographic center of your customer points. |
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Extracts data from one layer, such as block groups, to an overlay layer, such as a trade area you have created in ArcMap. |
Customer Setup toolset: This toolset provides tools to set up customer data and format it for use in Business Analyst by geocoding address data, creating new customer layers, using existing point data, and generating customer assignments.
Customer toolset tools |
Description |
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Assigns customers to stores by closest location by a straight-line distance method. |
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Assigns customers to stores based on one or more existing trade areas. |
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Assigns customers to stores based on existing store IDs. |
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Designed to use multiple fields which are extracted from OLAP cubes to build criteria for assigning customers to stores. |
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Geocodes tabular data and defines the output feature class as a store file for use in the Analysis and the Trade Areas tools. |
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Generates a new blank feature class (or store layer) and allows the user to create blank fields to be populated later. |
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Defines an output feature class based on an existing feature class as a customer file for use in the Analysis and the Trade Areas tools. |
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Geocodes tabular data and defines the output feature class as a customer file for use in the Analysis and the Trade Areas tools. |
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Translates x,y (latitude-longitude) coordinate data into a customer layer. |
Modeling toolset: This toolset provides tools to generate sale predictability model outputs based on basic and advanced approaches utilizing the Huff model approach.
Modeling toolset tools |
Description |
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Creates a probability surface to predict the sales potential of an area based on distance and at an attractiveness factor. This tool allows multiple measures of attractiveness and can be statistically calibrated with survey or customer data. |
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Statistically calibrates the Advanced Huff Model with real data. |
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Statistically calibrates the Advanced Huff Model with survey data. |
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Creates a probability surface to predict the sales potential of an area based on distance and at an attractiveness factor. |
Reports toolset: This toolset provides tools to generate reports based on standard demographic or custom data, allowing market ranking and geographic analysis, site location, customer distribution, and standard demographic reports.
Reports toolset tools |
Description |
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Calculates the average drive time for a trade area. |
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Batches reports and runs them at a later time. |
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A comparative report that benchmarks two or more trade areas based on volumetric data (typically demographic data). |
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A report that shows information for business and/or shopping center locations. |
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Compares the demographic profiles or two different sets of customer locations. |
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Lists standard geographic distributions for your customer layer. |
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Calculates market penetration for a number of ring or drive-time polygons around your stores. |
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Allows you to select existing reports and export to different formats. |
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Generates a report based on the relation of stores to competitors. |
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Generates a report of your map layout. |
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Instantly generates a report or map image of several trade areas. |
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Generates a report to rank data based on a selected variable. |
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Quickly runs reports for single or multiple sites. |
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Generates total points and sums database attributes within a trade area. |
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Offers a visual representation of the frequency and direction of customer locations. |
Segmentation Analysis toolset: Segmentation analysis provides an accurate, detailed analysis of America's neighborhoods. U.S. residential areas are divided into 65 segments based on demographic variables such as age, income, home value, occupation, household type, education, and other consumer behavior characteristics. These characteristics are used to classify and evaluate your data utilizing these tools.
Segmentation Analysis toolset tools |
Description |
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Displays core and developmental segments in a table with customer count and percent, market area count and percent, and index. |
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Summarizes the demographic makeup of the geographies where your customers live. |
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Shows the Tapestry segments and summary groups that most accurately reflect customer records and compares customer profiles to the tapestry profile of your base geography. |
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Divides segments into four quadrants based on percent composition and index. |
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Divides segments into one of four categories and thematically shades each segment based on the output from the Game Plan Chart. |
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Creates a report to analyze a market by displaying total households, percent core households, percent developmental households, actual customers, customer penetration, expected customers, and the gap for a given level of geography. |
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Market Potential data measures the likely demand for a product or service for your market area by a specific geography level. You can use this report to make decisions about where to offer products and services. |
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Market Potential data measures the likely demand a product or service has for your market area by a specific geography level by household counts and volume (sales). You can use this report to make decisions about where to offer products and services. |
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Creates a report that assigns customer records to one of four match levels based on the geographic code assigned to each customer, using the address information from your Customer file. |
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Creates a report to compare the tapestry profile of your core and developmental customers to the tapestry profile of a syndicated survey. |
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Graphically displays index values for each segment when comparing two or more profiles. |
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Thematically shades the percent penetration of selected segments. |
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Shows the tapestry segments and summary groups that most accurately reflect customer records and compares customer profiles to the tapestry profile of your base geography based on households or adult population and volume (sales). |
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Thematically shades selected segments a single color. |
Segmentation Profiles toolset: This toolset provides tools that allow profiles to be created for use in other Business Analyst modeling and segmentation analyses.
Segmentation Profiles toolset tools |
Description |
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Creates segmentation area profiles with standard geography units, study areas, trade areas, and other polygon layers. |
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Creates a segmentation profile with an existing customer layer. |
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Creates a profile from a table of aggregated segmentation information. |
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Creates a profile from a table of address records. |
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Creates a profile from a table of records that have segmentation codes already appended. |
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Creates target groups of profile segments. |
Store Setup toolset: This toolset provides tools to set up store data and format it for use in Business Analyst by geocoding address data, creating new store layers, and using existing point data.
Store Setup toolset tools |
Description |
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Geocodes tabular data and defines the output feature class as a store file for use in the Analysis and the Trade Areas tools. |
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Generates a new blank feature class (or store layer) and allows the user to create blank fields to be populated later. |
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Imports stores that are in a shapefile format (this means they have already been geocoded) and identifies them as stores for further analysis. |
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Transforms tabular data (.dbf, .txt, or RDBMS format) into stores (or points) on a map (that is, geocodes data) for further analysis. |
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Transforms x,y coordinate data into stores (or points) on a map (that is, geocodes data) for further analysis. |
Thematic Maps toolset: This toolset is full of wizard-driven thematic tools to help you thematically map your feature classes.
Thematic Maps toolset tools |
Description |
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Thematically maps a feature class based on a numeric field and displays it as a symbolized chart. |
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Thematically maps a feature class based on a numeric field as dots on the map. |
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Thematically maps a feature class based on a numeric field and displays it as a symbolized line. |
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Thematically maps a feature class based on a nonnumeric field. |
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Thematically maps a feature class based on a numeric field. |
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Thematically maps a feature class based on a numeric field and displays it as a symbolized point. |
Trade Areas toolset: Trade areas are used to generate market areas based on many inputs, including customer data, standard geographies, attribute information, drive times, and static rings.
Trade Areas toolset tools |
Description |
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Generates trade areas based on standard geographic units. |
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Generates trades areas from the features of an input polygon layer that intersect a defined boundary layer. |
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Creates market areas around your stores based on the number of customers or some other characteristic of the customers. |
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Creates a new feature class of ring trade area features. The radii are determined by a field in the ring centers (store) layer. |
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Aggregates features based on specified attributes. |
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Creates a new feature class of trade area features based on drive times or driving distance. |
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Generates equidistant grids based on users' input. |
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Generates boundaries between stores weighted on one or more variables. |
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Calculates the market penetration based on customer data within an area. |
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Measures the overlap between trade areas (cannibalization) |
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Monitors change between trade areas. |
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Removes overlap (cannibalization) between trade areas. |
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Creates a new feature class of ring trade area features using a set of radii. |
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Generates apportioned trade areas for each store by creating boundary lines equidistant from each of the store locations. |
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Creates rings around your stores using a radius that is proportional to a store characteristic, such as total sales. |
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Creates simple rings or drive-time polygons around your stores using a radius that is determined by expanding from the store location until it meets your criteria. |