View Spotlight: Related Data Table
Hello readers! Welcome to this week’s blog. This week we will feature the Related Data Table view and how you can use it to maximize your productivity in SimplyAnalytics.
What is it?
The Related Data Table View is designed to allow you to quickly add in many similar data variables at once. For example, if you add "% Households w/ Income $50,000 to $74,999" the report will also show all of the other income ranges as well.
Some other use cases: you want to quickly add in all life-stage data variables, or PRIZM psychographic segments, or all Language variables.
Example
Identify what the top PRIZM household segment is for a ZIP Code. The PRIZM Dataset is a marketing segmentation system that allows you to understand the demographic and lifestyle/consumer traits of any location in the United States. This data is very popular within marketing departments across many large companies, and we are happy to offer it as an add on module to your subscription.
(1) Select New View from the top-right of the interface
(2) Click on the Create button under the Related Data Table section
This will open up the Edit Related Data Table screen. This is where you add in your location, and data variable. In this example, we will select a random PRIZM Premier segment. Keep in mind, this report will add in all of the segments for you.
Select Done once the location and data variable have been added, and the report will generate.
Click on the Location/column header to sort either Ascending or Descending. It looks like the ZIP Code 10001 in New York is largely classified as Connected Bohemians.
Click on the variable title to view the Metadata and learn more about this segment.
Interesting stuff! If your organization is interested in having a trial or webinar of the PRIZM dataset featured here, feel free to reach out to: support@simplyanalytics.com
More from SimplyAnalytics
Posted on Mar 09, 2010 by Admin
The GRI team will be exhibiting at the 2010 Public Library Association conference later this month at the Oregon Convention Center in Portland, OR. The PLA National Conference is the prem...
Posted on Jun 02, 2016 by Admin
Three weeks ago we utilized the SimmonsLOCAL data set to visualize contiguous America’s mayonnaise brand preference. Staying with the American visualization theme, this week’s report will...
Posted on Feb 21, 2018 by Admin
We are looking forward to sharing SimplyAnalytics with the public library community at the upcoming PLA 2018 Conference in Philadelphia, PA. Our team will be exhibiting in Booth #855. Vis...
Posted on Jan 15, 2013 by Admin
The GRI team is looking forward to exhibiting at ACRL 2013 at the Indiana Convention Center in Indianapolis April 10 - 12, 2013. Every other year, ACRL offers its premier professional dev...
Posted on Oct 29, 2015 by Admin
Did you know that SimplyMap allows you to search for businesses by NAICS or SIC codes? Searching by these codes is a great alternative to the general keyword search. Using the keyword sea...
Posted on Apr 30, 2008 by Admin
Doreen Harwood, Business Librarian from the University of Washington has developed a series of detailed tutorials on using SimplyMap. The tutorials, which are Flash-based and interactive,...
Posted on Nov 23, 2012 by Admin
Men's Health magazine is charting vanity in US cities, with help from SimplyMap. What did they find? The Sunshine State, with a long history of going to great lengths to look good, tops t...
Posted on Jul 22, 2015 by Admin
In this week’s SimplyMap report, we take a look at one of our newly available data packages - ConneXions® from Nielsen. The ConneXions® segmentation system integrates consumer behavior an...
Posted on Aug 27, 2018 by Admin
Welcome readers! This week we are excited to feature our newest view in SimplyAnalytics, the Time Series Table.What is it?The Time Series Table allows you to quickly pull all years availa...
Posted on May 16, 2022 by Admin
Hello readers! We hope you are having a wonderful day. Today we feature a question from the help desk that we think many users would find useful. Let’s get started. The question: How can ...



