Data is one of the biggest requirements in category management for moving toward a more strategic, fact-based organization. Many organizations spend millions of dollars on data and sometimes even more money to mine the data through software and front-end reporting systems. But organizations too often forget to train their organization on some of the most important things about data. This is what can lead to misinterpretations and frustrations when using data.

How do you use category management analytics when you have limited data? To complete analytics, you obviously need data. In fact, it’s one of the key requirements in category management and to strategically understand and measure your business. Despite all of the new data sources available in today’s world, many of us still find ourselves in “low data” scenarios – whether it’s in an entire industry, a region or a category. Are you in a limited data environment but want to learn how to be more strategic in your approach? Here are some great resources to help you do category management on limited data: Category Management Continuum: A complimentary download that walks you through the different levels of category management you can practice in a limited data environment Free Resource on “How to Address Data Gaps in a Limited Data Environment"