• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

CPG Data Tip Sheet

Transforming your syndicated data into business insight

  • Home
  • Glossary
  • About Robin Simon
  • About Sally Martin
  • Contact
Blog » How To Understand Your Database » The 4 Key Dimensions In Every Nielsen/IRI Database

The 4 Key Dimensions In Every Nielsen/IRI Database

November 6, 2012 By Sally Martin 2 Comments

Print Friendly, PDF & Email

Does it seem nerdy to worry about data structure when your goal is business insight?

It’s not (I promise).  Understanding the nitty gritty of your IRI or Nielsen data will ensure you buy the right information and interpret it correctly.

The 4 Dimensions are the grammar of the scanner data language. They impact the price you pay for the data, what you are able to do with the data, and how you think about what data to pull for your analysis.

Dimension #1: Products
Items, rolled up to brand or sub brand, rolled up to segments, rolled up to categories.  In other words, the thing the consumer chooses from the shelf and buys at the register. Nielsen/IRI also have available a wealth of product information called “attributes” or “characteristics”. For each UPC, they capture all kinds of information about package type, ingredients, claims,weight and much more. Get as much of this information as you can! To read more about products, click here and here.

Dimension #2: Markets
Many, many markets are available but they fundamentally separate themselves into two groups: retail accounts (e.g. Kroger or Stop & Shop) and physical geography (e.g. Total US or New England Census Region or San Francisco metropolitan area). This post has lots of detail on the market dimension.

Dimension #3: Periods
Weeks, 4-weeks, quarters, years, fiscal years and many other possible groupings. For more on periods, click here.

 

Dimension #4: Facts (also called Measures)
Dollars, units, price, distribution, trade promotion conditions (feature and display), and velocity (sales rate). There are many, many permutations of these basic fact types. We have lots of posts on each type of measure and the glossary defines all the most important ones to know.

Before you buy, ask yourself:  What do I need from each dimension to ensure I can answer my business questions?

If you enjoyed this article, subscribe to future posts via email. We won’t share your email address with anyone.

Share
Tweet
Share

Filed Under: How To Understand Your Database Tagged With: Facts, markets, Measures, periods, products

Reader Interactions

Comments

  1. Gregory Grudzinski says

    January 14, 2014 at 12:28 pm

    Working through some Nielsen data for Walmart and am unclear as to what the designations are for WMT DIV 1 EAST BU CTA in the MARKETS dimension.

    Specifically, what does the DIV 1 mean–that it excludes supercenters? Secondly, what is BU? I can’t find anything in the geographies that seems to coincide.

    Thanks in advance.

    Reply
    • Robin Simon says

      January 14, 2014 at 12:36 pm

      Yes, Division 1 (DIV 1) means the “regular” Walmart stores, excluding Supercenters. Many Div. 1 stores have been converted to Supercenters over the years and the pricing is usually the same for products that are in both types of stores. If WM Div. 1 + Supercenter is available as a geography, that is probably the better one to use. BU means Business Unit, so the East BU is some aggregation of WM Div. 1 stores in Walmart’s definition of their East BU. Nielsen or your WM team should be able to tell you which markets make up the East BU. Hope this helps!

      Reply

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Primary Sidebar

Top Posts

  • The 2nd Most Important Measure: % ACV Distribution
  • Velocity: How Well Your Product REALLY Sells
  • Total Distribution Points: Master of All Distribution Measures
  • xAOC and MULO: Multi-Channel Markets in Nielsen & IRI
  • The Beginner’s Guide to Trade Merchandising Measurement

Search CPG Data Tip Sheet

Subscribe to New Posts

Get new posts delivered straight to your inbox. We won't share your email address with anyone.

Thank you for subscribing!

Subscribe

About CPG Data Tip Sheet

We (Sally Martin and Robin Simon) first met in business school and bonded over our interest in geeky marketing stuff. Eventually we both started independent consulting practices. Now we’ve reunited to share with you some of what we’ve learned in our decades of experience working with syndicated CPG data.

Categories

  • Glossary (79)
  • How To Answer Business Questions (42)
  • How To Communicate Insights (17)
  • How To Get Started with Nielsen/IRI (22)
  • How To Understand Your Database (12)
  • Know Your Measures: Distribution (24)
  • Know Your Measures: Pricing and Promotion (45)
  • Know Your Measures: Sales (21)
  • Miscellaneous (6)

Tags

ACV analysis examples analytic skills attributes average items base base weighted weeks career development category management channels characteristics coronavirus coverage factor covid-19 Database distribution due-to Excel tips Facts incremental markets Measures merchandising new items panel data periods pricing pricing strategy products promoted price quantify opportunity retailer direct data retailer markets shopper data store data Syndicated TDP the basics trade promotion trading areas velocity visualization visualizations volume bridge volume decomposition

Footer

Categories

  • Glossary (79)
  • How To Answer Business Questions (42)
  • How To Communicate Insights (17)
  • How To Get Started with Nielsen/IRI (22)
  • How To Understand Your Database (12)
  • Know Your Measures: Distribution (24)
  • Know Your Measures: Pricing and Promotion (45)
  • Know Your Measures: Sales (21)
  • Miscellaneous (6)

Search CPG Data Tip Sheet

Tags

ACV analysis examples analytic skills attributes average items base base weighted weeks career development category management channels characteristics coronavirus coverage factor covid-19 Database distribution due-to Excel tips Facts incremental markets Measures merchandising new items panel data periods pricing pricing strategy products promoted price quantify opportunity retailer direct data retailer markets shopper data store data Syndicated TDP the basics trade promotion trading areas velocity visualization visualizations volume bridge volume decomposition

Terms of Use | Copyright © 2025 CPG Data Insights · Log in