Location Data

Data methodologies, and Release schedules.
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The Q1 2020 Business and Location Insights data packages are now available for analysis. The packages include analytics-ready data from a variety of vendors as well as data-specific analysis tools which will empower users to get the most from the packaged data.
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Great News Everyone! We are excited to announce an improvement to our US Business Insights data package! Specifically, we have upgraded the access to traffic count data, TrafficMetrix, provided by Kalibrate Technologies. Previously, the US Business Insights package contained traffic count data representing a 15% sample of the full nationwide dataset, but the upcoming Q4 2019 US Business Insights package will now contain the entire dataset. While the 15% sample contained roughly 240,000 records of traffic count data from the nationwide dataset, the full data now provides over 1,600,000 records to further enrich your analysis. The addition of the full TrafficMetrix dataset should already be included with your existing US Business Insights license. In the event of any licensing issues, please reach out to your License Administrator or fulfillment@alteryx.com .
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As we announced in December, we have partnered with Mapbox to provide new basemaps for designer 2019.4. For our Q4 2019 Business and Location Insights release we will be transitioning from our previous provider to Mapbox. Workflows that have “Most Recent Vintage” selected from the basemap drop down will transition smoothly to the new provider. With this transition our maps are getting new names: DigitalGlobe Aerials 2019 Q3 => Alteryx Satellite 2019 Q4 DigitalGlobe Aerials with Streets 2019 Q3 => TomTom Streets with Satellite 2019 Q4 Business and Location Insights from previous vintages, Q3 2019 and before, contain maps that call our old aerial tile API endpoint. This endpoint will be retired in June 2020, and the satellite maps from those vintages will no longer display. By that time, be sure to install maps from Q4 2019 and greater to ensure the data products maps with satellite imagery still work.   The Alteryx Satellite style included in versions Designer 2019.4 and above will not be impacted by this change.
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  There are thousands of unique coded values in ConsumerView: 4,070 to be exact! It can be overwhelming to have to look them up. Fear not! The ConsumerView Output Decoder brings back the functionality of the ConsumerView Renaming Macro, but is now included with our data releases as of Q4 2019. It decodes ConsumerView Field Values into readable values. No more will you have to search through a data dictionary to understand your data.     We listened to your feedback during development and the new tool can decode values from both the ConsumerView Household and Individual files with no configuration. The new version is over 6 times faster than the previous macro and will be updated every quarter with ConsumerView. Using the Tool: No configuration is required, simply drag it on to the canvas and connect your data stream with ConsumerView fields. The O output will contain the decoded value. Considerations: Be sure to use the ConsumerView Output Decoder at the very end of your analysis. Experian codes the values to reduce the size of the dataset and speed up processing. Using it early in a workflow will bloat the data in the workflow and slow down processing. The tool is powered by the Dynamic Replace tool and the cv_key_value.yxdb in the Supporting_Macros folder relative to the macro. Dynamic Replace will return null if a value is in a field that is decoded, but not in the data stream of the R anchor. Be sure to only use this on unmodified ConsumerView fields.
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Data Products 101 Part 1: Installing your Data (Network & Command Line)   This article will walk through the Network data installation process and is intended for Admins. If you are looking for a guide on the standard local installation process, then check out our article on Local Data Installation.   Network Data Install (Advanced)   Considering that the entire US Business Insights bundle is around 180GB, we often have cases where a user will run out of hard drive space during the data install. If you find yourself in this boat and are on a company network, you can resolve your space issues by performing a network install with the Alteryx Data Installer.   This can also potentially save a huge amount of installation time when you have multiple users for the Data Bundle. Instead of performing this lengthy install numerous times – once for each user – you can install once and be done.   The downside to a Network Install is performance. A Local Install will almost always have better performance, as a Network Install is limited to network speeds and read/write times on your network drive.   A Network Install consists of two operations:   1. Preparing the Network Installation – contents of the Alteryx Data Install are copied to and prepared on your network location.   2. Registering the Network Installation – where each of your users navigate to the prepared network location in order to register the data sets to their machine.   To Prepare a Network Installation:   1.  Follow Steps 1 – 4 within the (Local Installation process article)[hyper-link here].   2. You should now be at the Location screen - choose ‘Prepare a Network Install’ and browse to the shared network location where you wish to install. Be sure that all users have the same configuration if you're using a mapped network drive.    At a minimum, each of your users will need read access to this location. If you plan to install CASS to this network location, then your users will also need write access to this location.   Click ‘Finish’ after selecting the network location and let the Alteryx Data Installer run.     3. Once the installation is complete, each of your users will need to register the Prepared Network Install to their computers.   To Register a Network Installation:   1.  Each user will need to navigate to the location where you Prepared the Network Install. Once there, run ‘AlteryxDataInstall.exe’ and follow Steps 1 – 4 as outlined under the Local Data Install guide. On the Location screen, select ‘Register from a Network Location and click ‘Finish’.     2. The installation process should take no more than a couple minutes to copy over a handful of files to the user’s computer (sample data, etc.). Once done registering, the user can immediately start accessing the installed data in Alteryx.     Command Line Install (Advanced)   The Alteryx Data Installer also has command line operations for all of our IT users. Please refer to our Command Line documentation for more details.
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Data Products 101 Part 1: Installing your Data (Standard)   So, you just bought one of the Data Bundles from Alteryx and you’re excited to dive in and start exploring Location and Business Insights for your company – but where do you start? How do you get access to this Data? Well, unlike a SQL database or CSV you might be used to working with, you’re going to start by installing these Data Products. This article will walk through the standard data installation process. If you are an Admin and are interested in a Network or Command Line installation, check out our article on Data Installation for Admins.   Prerequisites   First and foremost, do you have your Data Package yet?   If you purchased either the US or Canada Business Insights bundles, you should have received a hard drive in the mail. If you have your hard drive plugged in and read, then go ahead and skip to Step 1 below.   If you purchased one of our Location Insights spatial bundles, then head to licensing and download portal and download the data. Assuming you have your Spatial license key activated, it’ll be under the Data Packages tab on the left – just click on the bundle you wish to download and then the .7z file you wish to download. Pay attention to the vintage tag as you’ll want the most recent quarter’s data.       Be sure to extract the .7z package after you’ve downloaded it. We recommend creating a new folder that you will extract into – instead of extracting everything onto your desktop.   If you haven’t received your US/CAN Business Insights hard drive yet, or don’t see the Data Packages tab on the Licensing and Downloads portal, you should reach out to our Fulfillment Team for support.   Local Data Installation Steps   The local data install is the standard installation type. First, you’ll want to make sure Alteryx is closed. Next, either plug in your Alteryx Data hard drive or navigate to wherever you extracted the data from the Licensing and Downloads portal and run the ‘AlteryxDataInstall.exe’ to launch the Alteryx Data Installer.   1. Click Next when the Welcome Screen appears.     2. Read and Accept the license agreement then click Next.     3. Select the data sets you would like to install. If you want all of them just click the All button on the right. Otherwise, you can select individual Data Products by selecting the check box next to them. After you’ve made your selection, click Next.     4. Choose any previously installed Data Products that you would like to uninstall by selecting them similarly to the previous screen. You don't have to choose anything here if you want to keep everything, however, keep in mind that these data bundles can be very large and you may not have enough space to keep multiple vintages installed locally. After you’ve made your selection, click Next.     5. Leave ‘Install to a Local Directory’ selected and browse to the file path you would like to install the data to. The default path will be auto-populated but if you'd like to install it somewhere else just update the path. Make sure the hard drive you install the data to has enough space. For instance, the US Business Insights bundle takes up over 180GB and we recommend 500GB of space for Alteryx Designer – so you will want to have at least 700GB available.   Once you’ve selected the install path, hit Finish and let the Alteryx Data Installer run.   Feel free to kick back and relax now – as this will take some time. An install of the entire US Business Insights bundle may take well over 3 hours depending on your hard drive write speed.       6. When you get to the ‘Complete’ screen you’re done. Now you can load up Alteryx and start diving into Business and Location Insights!       If you’re unsure where to get started with actually using these Data Products, then be sure to check out Part 2 of my Data Products 101 series. Stayed tuned for more to come!
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Greetings Everyone! The Q4 2019 Business and Location Insights data packages are now available for analysis. The packages include analytics-ready data from a variety of vendors as well as data-specific analysis tools which will empower users to get the most from the packaged data. All data packages are available via the Downloads & Licenses portal. US & Canada Business Insights customers will receive their hard drives later this week, but they are also welcome to download the data from the portal. All documentation packages are included in the attached .zip archive. Be sure to take a look at some of the recent articles in the Location Data Knowledge Base which will help you get started with your Insights packages. There are articles related to installation, mapping, and many more. Please let us know if you have any questions or concerns by commenting below. Happy Alteryxing!
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Hi folks,   The remaining 2019 Insights and CASS release schedule is as follows...     And here is the CASS schedule for the remainder of the year...     Regards,   Jerad Rades Team Lead, Data Products
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Because most Calgary Databases (files with .cydb extension) contain millions of records with hundreds of fields, a method for allowing a user to quickly determine which records to read is available. 
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Question I have a list of zip codes, can I use Alteryx to determine the city they're in? Answer The answer is yes! But with a few caveats. Zip Codes can be notoriously difficult to pair with cities they belong in because they exist in two forms; points and polygons. Point Zip Codes are generally associated with businesses or universities, while polygons generally encompass residential areas. Alteryx data does have Zip Codes with Points data; however, it is not immediately accessible and will require some configuration on the part of the user to get access to that level of data.   Zip Codes are also frequently adjusted, deprecated, and consolidated by the USPS, so depending on the age/vintage of the zip codes in your data as compared to that in the Alteryx Spatial Database, there may be some slight variation there as well. All said, users should still expect a reasonably high match rate.    To start, make sure you either have the Alteryx Data Package installed (available with a license), or you have the 2010 US Census data installed (available for free at http://downloads.alteryx.com/data.html).   With the data installed, the first thing you will bring down is an Allocate Input Tool. Here you will choose the relevant dataset (Experian data or US Census) from the drop down, then check the box for Zip Codes under Pick Geography.   From here you will use the Join Tool to join your data to the Allocate Input data based on your Zip Code field and the Key field of the Allocate Input data. [NOTE: the Zip Code and Key fields will both need to be either String fields or numeric fields. Either is fine as long as it is consistent]   The resulting data that comes from the J output anchor of the Join tool will contain all of your Zip Codes that matched those in the dataset. The field "Name" that comes from the Allocate Input is formatted as the 5 digit Zip Code, followed by the City name. From here a simple Text to Columns tool configured to create 2 columns and parse on the space, will create a field specifically for the City and an extra Zip code field that can be deselected and discarded as the data moves down your workflow.    See an example of the process in the attached workflow below.
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If you need more geographical information on a coordinate, try converting it into a spatial object and using the Find Nearest Tool to find coinciding Experian geographical data from an Allocate Input Tool.
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Have some Latitude/Longitude points and not much else? Working with Spatial Objects and need more information than a simple map point? Time to call in the Reverse Geocoding macro. Reverse Geocoding can give some robust information to help make important business decisions when working with spatial data. Case in point: Your “friend” has hacked the Pokémon Go APK and hands you a list of Pokémon with the associated Latitude/Longitude. You can’t make an informed decision on your next weekend Poke-session without first understanding more than just the location on a map!
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As of the Q4 2018 data release, Experian's CAPE offering accessed through Alteryx's Demographics Analysis toolset will move to an annual update schedule instead of semi-annual. The change was made by the vendor, whose research determined there isn't enough variance to warrant updating the Annual Update to the Thin Update (“A” to “B” in Alteryx terms).   This affects the following data sets:   CAPE Demographics, “Current Year Estimates” and “Five Year Projections” (CYE & FYP) CAPE Seasonal Population CAPE Daytime Population CAPE Consumer Expenditure, CYE & FYP CAPE Retail Demand & Retail Supply (Scaled) American Community Survey, Mosaic Workplace and Mosaic Residential are already on an annual update schedule and will remain on that release cycle. However, the annual Mosaic updates will be delivered with the rest of the CAPE updates beginning with the Q2 2019 release.   This change does not affect the quarterly Alteryx Data delivery frequency to our customers, as geographies and other data sets follow their own release cycles. We will continue to deliver Alteryx Data quarterly as the other data sets included within the offering follow their own update release cycles.
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Greetings Everyone! The Q2 2019 Business and Location Insights data packages are now available for analysis. The packages include analytics-ready data from a variety of vendors as well as data-specific analysis tools which will empower users to get the most from the packaged data. All data packages are available via the  Downloads & Licenses  portal. US & Canada Business Insights customers will receive their hard drives later this week, but they are also welcome to download the data from the portal. All documentation packages are included in the attached .zip archive. Be sure to take a look at some of the recent articles in the Location Data Knowledge Base which will help you get started with your Insights packages. There are articles related to installation, mapping, and many more. Please let us know if you have any questions or concerns by commenting below. Happy Alteryxing!   Akshatha Madhan Gopal Data Products Specialist
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Greetings Everyone!   The Q3 2019 Business and Location Insights data packages are now available for analysis. The packages include analytics-ready data from a variety of vendors as well as data-specific analysis tools which will empower users to get the most from the packaged data. All data packages are available via the  Downloads & Licenses  portal. US & Canada Business Insights customers will receive their hard drives later this week, but they are also welcome to download the data from the portal.   All documentation packages are included in the attached .zip archive. Be sure to take a look at some of the recent articles in the  Location Data Knowledge Base  which will help you get started with your Insights packages. There are articles related to installation, mapping, and many more.   Please let us know if you have any questions or concerns by commenting below.   Happy Alteryxing!
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Data Products 101   Part 3: Drivetimes   In Part 2 of my Data Products 101 series I covered giving context to our spatial data with Maps, but what if you’ve never worked with spatial data before? What does a typical spatial use case even look like? We’ll cover getting you started with spatial data and more using the Drivetime Data available with each Location Insights package in this article.   Before we dive in, have you installed your data yet? If not be sure to check out Part 1 of this series first.   Let's get started:   Taking Drivetimes for a Spin   So, what is Drivetime Data anyways? At a high level, it’s a catalog of road segments and their associated speed values. Alteryx has a few tools which can leverage this data to determine point-to-point drivetimes or how far can you drive in any direction from a point within a set interval of time (aka "isochrone"). The latter is especially useful for a very common use case in Alteryx – trade area analysis defined by a drivetime threshold rather than a fixed distance radius.   Let’s jump in and build our first trade area. I'll use US data from the Location or Business Insights package, but this example will work for any of the countries we offer Location Insights data for.   First, pull in a Map Input tool onto our canvas and select the TomTom US base map. Add a point to the map via the configuration option at the top left. This point will represent the store that our trade area will be built around.     Next, bring a Trade Area tool onto our canvas and connect it to the Map Input tool. We'll use the default selections for now, but I highly recommend checking out the Trade Area Tool Mastery article on the Community whether you’re new to the Trade Area tool or a seasoned spatial veteran. This tool is jam packed with features and the Tool Mastery article is a great deep dive.     A few things to note here:   The SpatialObj field will automatically configure since we only have one field containing spatial data. Be sure to select the correct field for your analysis if you have multiple spatial object fields.   By default, the Trade Area tool will be configured to build radius-based trade areas using miles as the unit.   Let’s leave the tool in the default configurations so that we can visually compare the differences between radius-based and drivetime-based trade areas. Go ahead and throw a Browse tool after the Trade Area and run the workflow.     As we can see, our trade area is a perfect circle with a radius of 5 miles. The point we see in the center of the circle is our store location that we created in the Map Input tool.   Let’s go back to our Trade Area tool and reconfigure it to create a drivetime-based trade area as pictured below.     You probably noticed a few things when applying these changes:   There are three different versions of drivetime data – Peak, OffPeak, and Night. OffPeak is the ‘medium traffic’ option, Peak is the ‘heavy traffic’ option, and Night is the ‘light traffic’ option.   We didn’t change the value for ‘Specific Value’. As you may have guessed based on the units – it’s no longer a 5-mile radius, or even a 5-mile drive distance, but rather a 5-minute drivetime. This means that the edge of our trade area will be the maximum distance you can drive in 5 minutes from the point we built our trade area around.     After rerunning our workflow – we can now see a trade area with a completely different shape. Every point within the green boundary of our trade area is 5 minutes or less drivetime from our store. You may notice that our trade area has “arms” that extend beyond the “body” of the trade area. This is due to some streets having better traffic flow (e.g. higher speed limits, less traffic stops, etc). You may also notice areas where the trade area doesn’t extend much into and this can be due to opposite (i.e. low speed limits and many traffic stops) or there may just not be roads present.   Using Drivetime Data to Drive your Analysis   Great, so now that we have our drivetime trade area – what do we do with it? Trade area analysis covers a gammut of topics; ranging from understanding current customers, analyzing the competition, identifying potential new customers, and much more. For our purposes – we’ll walk through a couple of simple customer analysis cases. However, the sky is the limit and here are a few use cases for Trade Area analysis to spark your imagination:   The Right Location for Healthcare Facilities Using Spatial Analytics for Retail Site Analysis Understanding Consumer Behavior with Mobile Device Location Analysis   A classic entry point to trade area analysis is answering the simple question of: “How many of my customers live within X miles/minutes of my store?” For this example – I’m going to explore how many of my customers live within 10 minutes of our store.   First, I load in my customer file which consists of a unique ‘CustomerID’, a ‘Centroid’ SpatialObject point which represents the customers address, ‘Weekly_Visits’ count, and ‘Visit_Spend’ amount.     In my example customer file, I already have a SpatialObject point representing the customers address. However, in many cases your customer file may only have an address. This is a perfect use case for the Geocoder which is included in every Location Insights package.   Next, I’m going to create a 10-minute trade area around our store.       Finally, we need to do a spatial join. This is going to use a tool that may be new to you – the Spatial Match tool. This tool has a variety of configuration options which the help documents cover in a great visual format. For our purposes – I’m going to connect our Customer data stream to the T input (Targets) and the Store trade area stream to the U input (Universe). I also need to make sure that the ‘SpatialObject_TradeArea’ is selected as my Spatial Object Field for the Universe input as this is our trade area and the ‘SpatialObject’ field is the point for our store. The final step is to set the join condition to ‘Where Target Within Universe’.     Now that we’ve configured our workflow, let’s throw a browse tool on the M output (Matched) and the U output (Unmatched) and run the workflow so that we can visually see our data.     These 24 red points are our customers that are within 10 minutes driving from our store.     And these 438 red points are all our customers who are outside our 10-minute trade area.   Going the Distance with your Analysis   Great – now we know that most of our customers live much further away than 10 minutes driving from our store – but we don’t know how far the furthest customer is. If we knew how far our furthest customer lived, then we would be able to create a trade are which encapsulates all our customers without extra bloat. So how can we accomplish this?   Another important tool which leverages the drivetime data is the Distance tool. As the name implies, the primary function of the Distance tool is to measure distance from point A to pint B – including drivetime and driving distance. We can use this tool, in combination with a few others, to figure out how far our furthest customer lives. First, we need to append our store location to our customer data. We will do this with an Append Fields tool. Hook the customer data stream to the S input (Source) of the Append Fields tool and the store data stream to the T input (Target). Also, be sure to set the option to allow all appends.     Next, we will configure a Distance tool. By default, ‘Output Distance’ will be selected. This option measures straight line distance, not driving distance. We want to de-select this option, and then select the ‘Output Drivetime & Distance to Destination Centroid’ option. We need to make sure that ‘TomTom US OffPeak – Most Recent Vintage’ is selected as our Dataset as this is the same dataset we are using to generate our trade areas.   I’m going to leave ‘Route Optimized by’ as ‘Time’ because we are creating drivetime-based trade areas. I’ll also leave ‘Allow Reverse Routing for Optimum Speed’ checked as this speeds up the run of the workflow and I’m not too concerned about incredibly precise results. I’m going to set ‘Maximum Minutes’ to 45 instead of keeping the default of 30. This is because I am familiar with the Denver metro area and I think that some of my points may fall further than 30 minutes, so I want to make sure that all results are included.     Finally, I am going to sort my data by DriveTime in Descending order because I want to know how far the furthest customer is, but also what the next few farthest customers are just in case the furthest is an outlier. Now let’s run the workflow and check out the results.     From these results, I can see that our furthest customers live almost 25 minutes away from our store. Therefore, I know that a drivetime-based trade area of 25 minutes should cover all our customers. Great, now what can I do with this information? Well, we have a count of weekly visits and spend per visit in our customer data – maybe there’s a correlation with drivetime distance.   Put a Ring on your Insights   Let’s revisit our initial trade area workflow and take advantage of one of the more hidden functionalities – trade area rings. I’m going to analyze customers based on the following drivetime distance brackets: 0 to 15 minutes, 15 to 20 minutes, and 20 to 25 minutes.   The way we configure a ring in the trade area tool is to specify the start and end values separated by a hyphen (e.g. 10-15). We can also specify multiple trade areas within a single tool by separating our unique values with a comma (e.g. 10,15). The ‘Specific Value’ that we need to use then is: ’15,15-20,20-25’.     Note that our initial value is just ‘15’ and not ‘0-15’. This is because our initial trade area ‘ring’ isn’t actually a ring, it’s just a polygon, therefore we don’t need to specify a starting distance of ‘0’.     Now that we have our customer points matched to our trade area rings, lets create an ‘Average Weekly Visits’ and an ‘Average Visit Spend’ field for each trade area ring.     Finally, let’s wrap it up by creating a ‘Total Weekly Spend’ value for each of our rings by using a formula tool.     Now let’s inspect the results.     As we can see above, the customers who live nearest to our store visit the most, spend the least per visit, but also spend the most overall. And the opposite holds true for our customers who live the furthest away. This is the type of spatial driven analysis which could help our marketing campaign better target our customers and drive better results.   Bonus Section   One of the most powerful features of trade areas in Alteryx is the ability to append demographic values to them. For those of you who have purchased the Business Insights package, you may have explored the demographic analysis tools, or at least you may have seen the names ‘Experian US’, ‘Experian Full US ACS’, and ‘US Census’ when installing your data. These are your demographic datasets and you can append any field from those datasets directly to your trade areas.   The most exciting part of this feature is that you can calculate demographics for the trade area itself, and not just for given geographies that fall within your trade area, like ZIP Codes (although you can append those too).   If you haven’t purchased the Business Insights package but would like to test out this powerful feature, you can download the ‘US CENSUS 2010 - FREE DATA’ package from the downloads and licensing portal under the ‘Data Packages’ section. Follow my installation guide in case you forget how to navigate the downloads page or the data installer.   Let’s go back to our multi-ring trade area and add in an additional trade area that covers the entire 25-minute area. This new trade area will serve as a baseline that we can compare our rings to. Our ‘Specific Value’ should now be: 15,15-20,20-25,25.     Next, we’re going to bring in a new tool - the Allocate Append tool - and connect it to our data stream. We’re going to select the US Census 2010 dataset as our dataset. We need to set the ‘Records Are:’ dropdown to ‘Custom Geographies’ and the ‘Spatial Field’ as our trade area field: ‘SpatialObject_TradeArea’.     Next, we are going to select our demographic variables. I’m going to select ‘Total Population’, ‘%Total Female’, and ‘% Hispanic or Latino’ as the demographic variables I’m interested in.     Finally, let’s review our results.     As we can see here, a marketing campaign which targets potential Hispanic/Latino costumers will be most effective in our 15-minute radius, and least effective in our 20 to 25-minute radius. A general marketing campaign would have the most reach in our 20 to 25-minute radius as that ring has the highest population. A marketing campaign which targets women consumers would have fairly equal effectiveness across our entire trade area as one which targets men.   Appending demographics to drivetimes is a popular and powerful way to leverage Location Insights with Business Insights. If you want to learn more about our demographic data and the Business Insights packages, then be sure to stay tuned for Part 4 of my Data Products 101 series – All Things Allocate.   Bonus Bonus   You may notice that my demographic fields have very descriptive field names, rather than a more coded field name that you will see when exploring our demographic datasets. This is because I used a simple trick to rename my fields using descriptions from the Allocate Metainfo tool. If you want to apply this process to your workflows, be sure to check out the Allocate Rename Fields Macro .
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The Q3 2018 US Data package includes analytics-ready data from TomTom, Experian, Dun & Bradstreet and the US Census as well as data-specific analysis tools to get the most from the packaged data. The documentation package attached includes –   Release notes, variable list and change log Experian CAPE demographic data methodology document, Mosaic segment descriptions Experian ConsumerView Analytical file – user guide and penetration report Simmons overview D&B Analytical file - data description, SIC lookup code, penetration report Kalibrate Technologies traffic count overview and metadata Spatial products include documentation on drive time methodology and Alteryx map layers   What's new in this release?   Sample workflows included with the data installs are now grouped within a top-level "Data Install Samples" category Annual updates for Places, Other Name Places, CBSAs, and CCDs/MCDs   Please download and extract the attached 'Q32018_US_Data.zip' for the complete documentation.
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Have you recently updated your Alteryx version, and now are getting an error when you try to run workflows that use Spatial Data? This article outlines the symptoms, diagnosis, and solution for the Error: “The Designer .x64 reported: InboundNamedPipe::ReadFile: Not enough bytes read. Overlapped I/O operation is in progress.” message associated with Spatial Tools.
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Question Where can I find the latest CASS dataset?? Help! Answer The most recent CASS datasets are available online through the Licensing and Download Portal which can be accessed at http://licenses.alteryx.com. For information on how to access the licensing portal and download the data you are licensed for, click on the below link -   https://help.alteryx.com/licensing/2018.2/Download/DownloadDatasets.htm
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The US Data package includes analytics-ready data from TomTom, Experian, Dun & Bradstreet and the US Census as well as data-specific analysis tools to get the most from the packaged data. The documentation package includes –   Release notes, variable list and change log Experian CAPE demographic data methodology document, Mosaic segment descriptions Experian ConsumerView Analytical file – user guide and penetration report Simmons overview D&B Analytical file - data description, SIC lookup code, penetration report Kalibrate Technologies traffic count overview and metadata Spatial products include documentation on drive time methodology and Alteryx map layers    Release Documentation download: http://downloads.alteryx.com/ReleaseDocumentation/Q32017_US_Data.zip
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The Europe (EU) Spatial Data includes analytics-ready data from TomTom as well as data-specific analysis tools to get the most from the packaged data. The documentation package includes –   Release notes Spatial products include documentation on drive time methodology and Alteryx map layers Countries included in this install are:   Andorra Austria Belgium Croatia Czech Republic Denmark Finland France Germany Gibraltar (British Overseas Territories) Hungary Italy (including Vatican City) Liechtenstein Luxembourg Monaco Netherlands Norway Poland Portugal San Marino Slovakia Slovenia Spain Sweden Switzerland   Release Documentation download: http://downloads.alteryx.com/ReleaseDocumentation/Q32017_EU_Spatial.zip
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